In this comprehensive guide, we compare Deviniti and Jotform AI Agents across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.
Overview
When choosing between Deviniti and Jotform AI Agents, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.
Quick Decision Guide
Choose Deviniti if: you value strong compliance and security focus
Choose Jotform AI Agents if: you value omnichannel excellence: 7 native channels (whatsapp, facebook messenger, instagram, sms, voice/phone, website, standalone) vs most competitors requiring third-party integrations
About Deviniti
Deviniti is self-hosted genai solutions for compliance-critical industries. Deviniti is an AI development company specializing in secure, self-hosted AI agents and LLM solutions for highly regulated industries like finance, healthcare, and legal, with expertise in RAG architecture and custom AI development. Founded in 2010, headquartered in Kraków, Poland, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
77/100
Starting Price
Custom
About Jotform AI Agents
Jotform AI Agents is online form builder with ai-powered automation. Form-centric RAG platform with omnichannel reach (WhatsApp, Instagram, SMS, Voice) and 7,000+ templates, built atop Jotform's 35-million-user form builder ecosystem. Runs GPT-4o with confirmed RAG architecture achieving 4.5/5 accuracy rating. Critical gap: NO dedicated AI Agents API for programmatic management—existing REST API covers forms only. $39/month entry, HIPAA/SOC 2/GDPR certified. Best for SMBs needing no-code multi-channel deployment, not developers building custom RAG integrations. Founded in 2006, headquartered in San Francisco, CA, USA, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
88/100
Starting Price
$39/mo
Key Differences at a Glance
In terms of user ratings, Jotform AI Agents in overall satisfaction. From a cost perspective, Deviniti starts at a lower price point. The platforms also differ in their primary focus: AI Development versus Form Builder. These differences make each platform better suited for specific use cases and organizational requirements.
⚠️ What This Comparison Covers
We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.
Detailed Feature Comparison
Deviniti
Jotform AI Agents
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Builds custom pipelines to pull in pretty much any source—internal docs, FAQs, websites, databases, even proprietary APIs.
Works with all the usual suspects (PDF, DOCX, etc.) and can tap uncommon sources if the project needs it.
Project case study
Designs scalable setups—hardware, storage, indexing—to handle huge data sets and keep everything fresh with automated pipelines.
Learn more
PDF Uploads: Document knowledge ingestion via PDF format
CRITICAL: CRITICAL GAP - NO Word Documents: .doc/.docx not explicitly supported - PDF uploads only for document ingestion
CRITICAL: CRITICAL GAP - NO Cloud Storage Ingestion: Google Drive, Dropbox, Notion function only as outbound file storage destinations, NOT knowledge sources - cannot auto-sync cloud repositories
Developer Workflow Friction: Must manually download cloud documents before upload vs competitors offering native cloud sync
Lets you ingest more than 1,400 file formats—PDF, DOCX, TXT, Markdown, HTML, and many more—via simple drag-and-drop or API.
Crawls entire sites through sitemaps and URLs, automatically indexing public help-desk articles, FAQs, and docs.
Turns multimedia into text on the fly: YouTube videos, podcasts, and other media are auto-transcribed with built-in OCR and speech-to-text.
View Transcription Guide
Connects to Google Drive, SharePoint, Notion, Confluence, HubSpot, and more through API connectors or Zapier.
See Zapier Connectors
Supports both manual uploads and auto-sync retraining, so your knowledge base always stays up to date.
Integrations & Channels
Plugs the chatbot into any channel you need—web, mobile, Slack, Teams, or even legacy apps—tailored to your stack.
Spins up custom API endpoints or webhooks to hook into CRMs, ERPs, or ITSM tools (dev work included).
Integration approach
Builds a domain-tuned AI chatbot with multi-turn memory, context, and any language you need (local LLMs included).
Can add lead capture, human handoff, and tight workflow hooks (e.g., IT tickets) exactly as you specify.
Case study
Autonomous AI Agents: Operate autonomously to perform specific tasks, solve problems, and interact with systems without needing human interaction at every stage - agents figure things out and act on their own
AI Agents Overview
Conversational Form Completion: One of the core features is use of conversational prompts that interactively assist users in completing every field of forms, ensuring accuracy and minimizing errors - unique form-to-conversation capability
Multi-Channel Deployment: AI Agents assist users via multiple channels - chatbot on website, phone, SMS, WhatsApp, QR Code - offering seamless interactions across 7 native platforms
Features Overview
24/7 Availability: AI Agents available around the clock and can handle customer inquiries and questions at any time of day - continuous autonomous operation
Natural Language Understanding: Agents understand customer inquiries and provide immediate, natural responses via web, voice, SMS, WhatsApp enabling human-like conversations
Custom Response Configuration: Set custom responses to frequently asked questions, personalize chatbot questions, and integrate with business's internal data or knowledge base for highly relevant answers
Training & Triggers: Agents trained with data such as FAQs, workflows, user scenarios to enhance responses, with specific triggers and outcomes defined (sending emails, searching websites, creating tickets)
Voice & Phone Capabilities: AI Agents answer questions and assist users via phone with customizable accents, gender, tone settings for natural voice conversations - advanced telephony integration
Human Handoff Excellence: Seamlessly switch from AI chatbot assistance to human agents when needed for exceptional customer service - preserves full context during transition
20+ Language Support: Automatic mid-conversation language detection and switching based on user preference without manual configuration
Lead Capture Integration: Deep form integration linking to multiple Jotform forms with real-time validation during conversational flows for structured data collection
Payment Collection: 30+ gateway integrations (PayPal, Stripe, Square) for in-conversation sales/donations directly within chatbot flows
Reduces hallucinations by grounding replies in your data and adding source citations for transparency.
Benchmark Details
Handles multi-turn, context-aware chats with persistent history and solid conversation management.
Speaks 90+ languages, making global rollouts straightforward.
Includes extras like lead capture (email collection) and smooth handoff to a human when needed.
Customization & Branding
Everything’s bespoke: UI, tone, flows—whatever matches your brand.
Slots into your existing tools with custom styling and domain-specific dialogs—changes just take dev effort.
Custom approach
Visual Customization: Color schemes, gradient backgrounds, font families (Inter, Circular, Times New Roman), chat widget positioning
White-Labeling: Remove Jotform branding from Bronze tier+, full white-label with custom domain URLs (Enterprise only)
Domain Restrictions: Control widget embedding via whitelisting
CRITICAL: CRITICAL LIMITATION - NO Raw CSS Access: All customization flows through visual designer's predefined options - cannot inject custom CSS for pixel-perfect brand matching
Fully white-labels the widget—colors, logos, icons, CSS, everything can match your brand.
White-label Options
Provides a no-code dashboard to set welcome messages, bot names, and visual themes.
Lets you shape the AI’s persona and tone using pre-prompts and system instructions.
Uses domain allowlisting to ensure the chatbot appears only on approved sites.
L L M Model Options
Pick any model—GPT-4, Claude, Llama 2, Falcon—whatever fits your needs.
Fine-tune on proprietary data for insider terminology, but swapping models means a new build/deploy cycle.
Our services
Primary Model: OpenAI GPT-4o for all standard accounts
HIPAA-Compliant Model: Google Gemini via Vertex AI exclusively for Gold/Enterprise accounts with BAA
Confirmed RAG Implementation: "Jotform utilizes the RAG technique to ensure all generated responses...are based on accurate, verified information from an agent's knowledge base"
Hallucination Prevention: RAG grounding + continuous monitoring of user-flagged responses with development team review
Third-Party Validation: 4.5/5 accuracy and reliability rating, 4.6/5 performance and speed (Futurepedia)
CRITICAL: NO Model Selection: Users CANNOT choose between providers or bring own API keys - Jotform manages routing internally
CRITICAL: NO Model Switching: Locked to GPT-4o (or Gemini for HIPAA) with no flexibility for cost/quality optimization
NO Benchmark Transparency: No published hallucination rates, retrieval accuracy percentages, or latency metrics - relies on third-party ratings only
Taps into top models—OpenAI’s GPT-5.1 series, GPT-4 series, and even Anthropic’s Claude for enterprise needs (4.5 opus and sonnet, etc ).
Automatically balances cost and performance by picking the right model for each request.
Model Selection Details
Uses proprietary prompt engineering and retrieval tweaks to return high-quality, citation-backed answers.
Handles all model management behind the scenes—no extra API keys or fine-tuning steps for you.
Developer Experience ( A P I & S D Ks)
Delivers a project-specific API—JSON over HTTP—made exactly for your endpoints.
Docs, samples, and support come straight from Deviniti engineers, not a public SDK.
Project example
CRITICAL: CRITICAL LIMITATION - NO AI Agents API: No dedicated API for programmatically creating, managing, or querying AI agents
Jotform REST API: Exists at api.jotform.com but covers forms and form submissions ONLY, NOT AI agents
Cannot Perform Programmatically: Create agents, upload/update knowledge bases, query agents through API endpoints, integrate agent conversations into custom applications beyond embedding
Outbound API Capability: Agents can send requests to external webhooks/APIs based on conversation triggers (ticket creation, CRM updates) - agent-to-external-system direction only
11 SDKs Available: Python, JavaScript, PHP, Java, Go, C#, Ruby, Scala, iOS, Android, NodeJS - forms API coverage ONLY, NOT AI agents
Documentation: api.jotform.com/docs provides comprehensive code samples for forms - NO technical API reference for AI agents
Architectural Positioning: Platform designed as no-code consumer tool, NOT developer toolkit or RAG-as-a-Service API
Developer Gap: Fundamentally limits Jotform AI Agents to visual builder use cases vs programmatic integration workflows
Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat.
API Documentation
Backs you up with cookbooks, code samples, and step-by-step guides for every skill level.
Performance & Accuracy
Uses best-practice retrieval (multi-index, tuned prompts) to serve precise answers.
Fine-tunes on your data to squash hallucinations, though perfecting it may need ongoing tweaks.
Our approach
Futurepedia Third-Party Ratings: 4.5/5 accuracy and reliability, 4.6/5 performance and speed
RAG Grounding: Responses based on verified knowledge base information vs general model knowledge
Continuous Monitoring: Development team reviews AI-flagged responses for negative feedback to enhance detection tools
Feedback System: Thumbs up/down on individual responses enables ongoing improvement
Hallucination Prevention: RAG technique + user feedback monitoring for accuracy maintenance
24/7 Availability: All deployment channels support continuous operation
99.9% Uptime SLA: Enterprise tier with service level guarantees
Hourly Replication: Google Cloud and AWS backup infrastructure with data redundancy
CRITICAL: NO Published Benchmarks: No quantitative hallucination rates, retrieval accuracy percentages, or latency metrics - transparency gap vs competitors
Delivers sub-second replies with an optimized pipeline—efficient vector search, smart chunking, and caching.
Independent tests rate median answer accuracy at 5/5—outpacing many alternatives.
Benchmark Results
Always cites sources so users can verify facts on the spot.
Maintains speed and accuracy even for massive knowledge bases with tens of millions of words.
Runs on straightforward subscriptions: Standard (~$99/mo), Premium (~$449/mo), and customizable Enterprise plans.
Gives generous limits—Standard covers up to 60 million words per bot, Premium up to 300 million—all at flat monthly rates.
View Pricing
Handles scaling for you: the managed cloud infra auto-scales with demand, keeping things fast and available.
Security & Privacy
Deploy on-prem or private cloud for full data control and compliance peace of mind.
Uses strong encryption, access controls, and hooks into your existing security stack.
Security details
SOC 2 Type II Certified: Enterprise tier only (audit completed September 2022) - standard plans lack certification
HIPAA Compliant: Gold and Enterprise tiers with Business Associate Agreement - uses Google Gemini via Vertex AI for HIPAA accounts
GDPR Compliant: All plans with Data Processing Addendum and EU data residency options
PCI DSS Level 1: All plans for payment processing security
FERPA Compliant: Enterprise tier for educational institutions
CCPA Compliant: All plans for California Consumer Privacy Act
Encryption: 256-bit SSL/TLS in transit, RSA 2048-bit for forms, encrypted storage at rest
Infrastructure: Google Cloud (Iowa US, Frankfurt EU) primary + AWS (Virginia US, Frankfurt EU) backup with hourly replication
NO AI Training on Customer Data: Jotform explicitly does NOT use data collected through AI Agents to improve its services
OpenAI Data Handling: 30-day retention for abuse detection only - OpenAI does NOT use API Platform data for model training
Business Associate Agreements: With both OpenAI and Google for compliance workflows
Enterprise Data Sovereignty: 19 data center options across 15 countries for location-specific compliance
CRITICAL: NO ISO 27001: Information security management certification absent - compliance gap vs some enterprise platforms
CRITICAL: NO On-Premise: Cloud-only SaaS deployment - air-gapped environments cannot use platform
Protects data in transit with SSL/TLS and at rest with 256-bit AES encryption.
Holds SOC 2 Type II certification and complies with GDPR, so your data stays isolated and private.
Security Certifications
Offers fine-grained access controls—RBAC, two-factor auth, and SSO integration—so only the right people get in.
Observability & Monitoring
Custom monitoring ties into tools like CloudWatch or Prometheus to track everything.
Can add an admin dashboard or SIEM feeds for real-time analytics and alerts.
More info
Jotform Insights (Enterprise): Sessions, conversations, success rates, device analytics, geographic data with custom dashboards
Custom Dashboards: Line, bar, pie charts with Excel/CSV export capabilities
Conversation History: Fully logged interactions with downloadable PDF transcripts and MP3 audio recordings (voice)
Agent Conversations Interface: Search, filtering, team sharing for conversation review
Thumbs Up/Down Feedback: Individual response rating system with aggregated analytics
Development Team Review: Regularly analyzes AI-flagged responses for negative feedback to enhance detection tools
Real-Time Monitoring: Live conversation visibility with green dot indicators for active chats
Take Over Chat Feature: Human agents see full context and history when intervening
Form Analytics Extension: Platform analytics leverage existing Jotform form analytics infrastructure vs purpose-built conversation intelligence
Comes with a real-time analytics dashboard tracking query volumes, token usage, and indexing status.
Lets you export logs and metrics via API to plug into third-party monitoring or BI tools.
Analytics API
Provides detailed insights for troubleshooting and ongoing optimization.
Support & Ecosystem
Hands-on support from Deviniti—from kickoff through post-launch—direct access to the dev team.
Docs, training, and integrations are built around your stack, not one-size-fits-all.
Our services
24/7 Live Chat & Email: support@jotform.com with 1-2 hour average response times - significantly faster than industry averages
Public Support Forum: Community Q&A with searchable historical threads
Comprehensive Help Center: jotform.com/help/ai-agents/ with step-by-step tutorials, integration guides, feature-specific articles
Video Tutorials: Visual learning resources supplement written documentation
Enterprise Support: Dedicated customer success managers, scheduled Zoom calls with support teams, SLA-based response guarantees
Professional Services: Implementation, training, and custom development services for Enterprise customers
Mobile App: iOS and Android apps for agent creation, training, management from mobile devices with push notifications
CRITICAL: NO Phone Support: Standard plans (Free/Bronze/Silver/Gold) lack phone support - chat and email only
NO Dedicated Account Managers: Enterprise tier required for dedicated CSM and scheduled support calls
Supplies rich docs, tutorials, cookbooks, and FAQs to get you started fast.
Developer Docs
Offers quick email and in-app chat support—Premium and Enterprise plans add dedicated managers and faster SLAs.
Enterprise Solutions
Benefits from an active user community plus integrations through Zapier and GitHub resources.
Additional Considerations
Can build hybrid agents that run complex, transactional tasks—not just Q&A.
You own the solution end-to-end and can evolve it as AI tech moves forward.
Custom governance
Form-Centric Innovation: Unique positioning transforming static Jotform forms (35M+ user ecosystem) into conversational AI experiences - natural migration path for existing customers
Help Guide
9.5/10 Rated Differentiator: One-click form-to-agent conversion that preserves data validation and structure while enabling natural dialogue - capability absent from pure RAG platforms
SMB Accessibility: $39/month Bronze entry point vs $700+/month enterprise-only competitors - 17x cheaper with genuinely usable free tier (5 agents, 100 conversations)
Voice Maturity: Dedicated phone numbers ($10/month), inbound call handling, web voice calls, customizable accents/gender/tone - more developed than most RAG competitors
Rapid Deployment: "5-minute setup time" using 7,000+ templates (Healthcare 1,134, Customer Service 1,050, HR 1,068, Education 760) with predefined roles and responses
Mobile-First Management: iOS and Android apps for agent creation and management from mobile devices - unusual capability enabling on-the-go administration
NOT a RAG-as-a-Service Platform: Form-centric no-code chatbot platform WITH RAG capabilities - fundamentally different target market (form builders vs RAG developers)
Developer Gap: NO AI Agents API disqualifies platform for programmatic use cases - architected for no-code visual builder workflows, NOT API-first development
Cloud Storage Friction: NO Google Drive/Dropbox/Notion knowledge ingestion - requires manual download-before-upload workflow vs competitors with native cloud sync
Model Inflexibility: Locked to GPT-4o/Gemini with NO user control - cannot bring own API keys or switch models for cost optimization vs multi-model competitors
Slashes engineering overhead with an all-in-one RAG platform—no in-house ML team required.
Gets you to value quickly: launch a functional AI assistant in minutes.
Stays current with ongoing GPT and retrieval improvements, so you’re always on the latest tech.
Balances top-tier accuracy with ease of use, perfect for customer-facing or internal knowledge projects.
No- Code Interface & Usability
No out-of-the-box no-code dashboard—IT or bespoke admin panels handle config.
Everyday users chat with the bot; deeper tweaks live with the tech team.
Visual Agent Builder: Zero coding required for complete agent creation, training, and deployment
Three Onboarding Paths: Start from scratch, convert existing form, or use templates - accommodates different user needs
7,000+ Template Library: Healthcare (1,134), customer service (1,050), HR (1,068), education (760) with predefined roles, responses, settings
Form-to-Agent Conversion: One-click transformation of existing Jotform forms into conversational AI - rated 9.5/10 differentiator
Conversational Training: Refine agent by chatting directly with it - intuitive improvement method for non-technical users
Mobile-First Management: iOS/Android app for agent creation and management from mobile devices - unusual market capability
Drag-and-Drop Customization: Visual editor for colors, fonts, avatars, positioning without technical knowledge
Smart Trigger Builder: Visual interface for conditional logic without scripting
Role-Based Access Control: Enterprise tier with administrator and user roles, form-level permissions, SSO integration (SAML 2.0, Multi-SSO, SCIM provisioning)
5-Minute Setup Time: Rapid deployment for basic agents using templates and form conversion
Offers a wizard-style web dashboard so non-devs can upload content, brand the widget, and monitor performance.
Supports drag-and-drop uploads, visual theme editing, and in-browser chatbot testing.
User Experience Review
Uses role-based access so business users and devs can collaborate smoothly.
Competitive Positioning
Market position: Custom AI development agency (200+ clients served) specializing in self-hosted, enterprise RAG solutions with domain-specific fine-tuning and legacy system integration
Target customers: Large enterprises needing fully custom AI solutions, organizations with legacy systems requiring specialized integration, and companies requiring on-premises deployment with complete data sovereignty and compliance control
Key competitors: Azumo, internal AI development teams, Contextual.ai (enterprise), and other custom AI consulting firms
Competitive advantages: 200+ enterprise clients demonstrating proven track record, model-agnostic approach with fine-tuning on proprietary data, on-prem/private cloud deployment for full data control, custom API/workflow development tailored to exact specifications, white-glove support with direct dev team access, and complete solution ownership with bespoke UI/branding
Pricing advantage: Project-based pricing plus optional maintenance; higher upfront cost than SaaS but provides long-term ownership without subscription fees; best value for unique enterprise needs that can't be met with off-the-shelf solutions and require custom integrations
Use case fit: Ideal for enterprises with legacy systems needing specialized AI integration, organizations requiring domain-tuned models with insider terminology, companies needing hybrid AI agents handling complex transactional tasks beyond Q&A, and businesses demanding on-premises deployment with complete data sovereignty and custom compliance measures
Market Position: Form-centric no-code chatbot platform with strongest appeal to existing Jotform ecosystem (35M+ users) and non-technical SMB teams
Omnichannel Leadership: 7 native channels (WhatsApp, Instagram, Facebook Messenger, SMS, Voice/Phone, website, standalone) vs most requiring third-party integrations
Form-to-Agent Differentiator: 9.5/10 rated one-click conversion of forms to conversational AI - unique capability absent from pure RAG platforms
Template Library Depth: 7,000+ templates vs minimal/none from RAG-as-a-Service competitors - fastest time to production for standard use cases
Voice Maturity: Dedicated phone numbers, inbound calls, web voice, customizable accents - more developed than most RAG competitors
Pricing Accessibility: $39/month Bronze entry vs $700/month (Progress), $30K+/year (Drift, Yellow.ai) - SMB-friendly with usable free tier
vs. CustomGPT: Jotform excels at no-code multi-channel + form integration vs CustomGPT developer-first RAG API access
vs. Progress: Jotform $39/month + omnichannel vs Progress $700/month + REMi quality monitoring + open-source NucliaDB
vs. Drift: Jotform customer support automation vs Drift B2B sales engagement - different core use cases
vs. Chatling: Jotform form integration + voice vs Chatling 32-model selection + WhatsApp - overlapping SMB market with different strengths
CRITICAL: CRITICAL Developer Gap: NO AI Agents API disqualifies platform for programmatic use cases - form-builder users only
CRITICAL: Cloud Storage Gap: NO Google Drive/Dropbox/Notion knowledge ingestion - manual workflow friction vs competitors
CRITICAL: Model Flexibility Gap: Locked to GPT-4o/Gemini with NO user control vs multi-model competitors (Chatling 32 models, Progress 7 providers)
Market position: Leading all-in-one RAG platform balancing enterprise-grade accuracy with developer-friendly APIs and no-code usability for rapid deployment
Target customers: Mid-market to enterprise organizations needing production-ready AI assistants, development teams wanting robust APIs without building RAG infrastructure, and businesses requiring 1,400+ file format support with auto-transcription (YouTube, podcasts)
Key competitors: OpenAI Assistants API, Botsonic, Chatbase.co, Azure AI, and custom RAG implementations using LangChain
Competitive advantages: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, SOC 2 Type II + GDPR compliance, full white-labeling included, OpenAI API endpoint compatibility, hosted MCP Server support (Claude, Cursor, ChatGPT), generous data limits (60M words Standard, 300M Premium), and flat monthly pricing without per-query charges
Pricing advantage: Transparent flat-rate pricing at $99/month (Standard) and $449/month (Premium) with generous included limits; no hidden costs for API access, branding removal, or basic features; best value for teams needing both no-code dashboard and developer APIs in one platform
Use case fit: Ideal for businesses needing both rapid no-code deployment and robust API capabilities, organizations handling diverse content types (1,400+ formats, multimedia transcription), teams requiring white-label chatbots with source citations for customer-facing or internal knowledge projects, and companies wanting all-in-one RAG without managing ML infrastructure
A I Models
Model-agnostic approach: Supports any LLM - GPT-4, Claude, Llama 2, Falcon, Cohere, or custom models based on client needs
Custom model fine-tuning: Fine-tune models on proprietary data for domain-specific terminology and insider jargon
Local LLM deployment: On-premises model hosting for complete data sovereignty and offline operation
Multiple model support: Deploy different models for different use cases within same infrastructure
Model flexibility: Swap models through new build/deploy cycle as requirements evolve
Custom training pipelines: Build specialized training workflows for continuous model improvement
Primary Model: OpenAI GPT-4o for all standard accounts - latest and most capable model
HIPAA-Compliant Model: Google Gemini via Vertex AI exclusively for Gold/Enterprise accounts with Business Associate Agreement
RAG Implementation: Confirmed use of Retrieval-Augmented Generation technique for grounded responses based on knowledge base
No Model Selection: Users cannot choose between providers or bring own API keys - Jotform manages routing internally
No Model Switching: Locked to GPT-4o (or Gemini for HIPAA) with no flexibility for cost/quality optimization
Automatic Model Assignment: HIPAA accounts automatically routed to Gemini, standard accounts use GPT-4o
Third-Party Validation: 4.5/5 accuracy and reliability rating, 4.6/5 performance and speed (Futurepedia)
No Benchmark Transparency: No published hallucination rates, retrieval accuracy percentages, or latency metrics
Primary models: GPT-5.1 and 4 series from OpenAI, and Anthropic's Claude 4.5 (opus and sonnet) for enterprise needs
Automatic model selection: Balances cost and performance by automatically selecting the appropriate model for each request
Model Selection Details
Proprietary optimizations: Custom prompt engineering and retrieval enhancements for high-quality, citation-backed answers
Managed infrastructure: All model management handled behind the scenes - no API keys or fine-tuning required from users
Anti-hallucination technology: Advanced mechanisms ensure chatbot only answers based on provided content, improving trust and factual accuracy
R A G Capabilities
Custom RAG architecture: Best-practice retrieval with multi-index strategies and tuned prompts for precise answers
Domain-specific fine-tuning: Train on proprietary data to eliminate hallucinations and improve accuracy for insider terminology
Custom vector databases: Choose and configure optimal vector DB backend for your scale and performance needs
Hybrid search: Combine semantic and keyword search strategies tailored to your data characteristics
Source attribution: Full citation tracking with confidence scores and document references
Continuous improvement: Ongoing tweaks and refinements to perfect retrieval accuracy over time
Confirmed RAG Technique: "Jotform utilizes the RAG technique to ensure all generated responses are based on accurate, verified information from an agent's knowledge base"
Knowledge Base Sources: PDFs, website URLs with auto-recrawl (daily/weekly/monthly), YouTube videos with transcript extraction, PPTX presentations, direct text input, conversational training
Help Desk Sync: Zendesk, Freshdesk, Salesforce Knowledge article imports with automatic recrawling schedules
KB Character Limits: 10M (Free ~2.5K pages), 25M (Bronze ~6.2K), 50M (Silver ~12.5K), 100M (Gold ~25K), unlimited (Enterprise)
Hallucination Prevention: RAG grounding + continuous monitoring of user-flagged responses with development team review
Feedback System: Thumbs up/down on individual responses enables ongoing improvement and accuracy enhancement
No Cloud Storage Ingestion: Google Drive, Dropbox, Notion function only as outbound file storage, NOT knowledge sources
No Word Document Support: .doc/.docx not explicitly supported - PDF uploads only for document ingestion
No Vector Database Control: Embedding models, chunking strategies, or retrieval parameters not exposed to users
Black Box Implementation: No transparency into RAG pipeline internals or optimization capabilities
Core architecture: GPT-4 combined with Retrieval-Augmented Generation (RAG) technology, outperforming OpenAI in RAG benchmarks
RAG Performance
Anti-hallucination technology: Advanced mechanisms reduce hallucinations and ensure responses are grounded in provided content
Benchmark Details
Automatic citations: Each response includes clickable citations pointing to original source documents for transparency and verification
Optimized pipeline: Efficient vector search, smart chunking, and caching for sub-second reply times
Scalability: Maintains speed and accuracy for massive knowledge bases with tens of millions of words
Context-aware conversations: Multi-turn conversations with persistent history and comprehensive conversation management
Source verification: Always cites sources so users can verify facts on the spot
Use Cases
Enterprise knowledge bases: Self-hosted chatbots with custom knowledge bases for internal company documentation
Legacy system integration: AI agents that interface with proprietary APIs, ERPs, CRMs, and ITSM tools
Regulated industries: On-prem deployment for healthcare, finance, and government with complete data control
Multi-lingual support: Custom chatbots supporting any language with local LLM deployment
Customer support automation: AI assistants handling common queries, reducing support ticket volume, providing 24/7 instant responses with source citations
Internal knowledge management: Employee self-service for HR policies, technical documentation, onboarding materials, company procedures across 1,400+ file formats
Sales enablement: Product information chatbots, lead qualification, customer education with white-labeled widgets on websites and apps
Documentation assistance: Technical docs, help centers, FAQs with automatic website crawling and sitemap indexing
Educational platforms: Course materials, research assistance, student support with multimedia content (YouTube transcriptions, podcasts)
Healthcare information: Patient education, medical knowledge bases (SOC 2 Type II compliant for sensitive data)
No Hidden Costs: Transparent pricing with clear overage charges - no credit-based anxiety
Standard Plan: $99/month or $89/month annual - 10 custom chatbots, 5,000 items per chatbot, 60 million words per bot, basic helpdesk support, standard security
View Pricing
Premium Plan: $499/month or $449/month annual - 100 custom chatbots, 20,000 items per chatbot, 300 million words per bot, advanced support, enhanced security, additional customization
Enterprise Plan: Custom pricing - Comprehensive AI solutions, highest security and compliance, dedicated account managers, custom SSO, token authentication, priority support with faster SLAs
Enterprise Solutions
7-Day Free Trial: Full access to Standard features without charges - available to all users
Annual billing discount: Save 10% by paying upfront annually ($89/mo Standard, $449/mo Premium)
Flat monthly rates: No per-query charges, no hidden costs for API access or white-labeling (included in all plans)
Managed infrastructure: Auto-scaling cloud infrastructure included - no additional hosting or scaling fees
Support & Documentation
White-glove support: Direct access to development team from kickoff through post-launch
Custom documentation: Tailored documentation for your specific implementation and tech stack
Training programs: Custom training for IT teams and end users on solution usage and maintenance
Dedicated project manager: Single point of contact throughout development lifecycle
Post-launch support: Optional maintenance contracts with SLA guarantees and priority response
Integration support: Hands-on help connecting to existing enterprise systems and workflows
Knowledge transfer: Complete handoff of code, architecture docs, and operational runbooks
Enterprise focus: Proven experience with large-scale deployments and complex requirements
24/7 Live Chat & Email: support@jotform.com with 1-2 hour average response times - significantly faster than industry averages
Public Support Forum: Community Q&A with searchable historical threads for peer assistance
Comprehensive Help Center: jotform.com/help/ai-agents/ with step-by-step tutorials, integration guides, feature-specific articles
Video Tutorials: Visual learning resources supplement written documentation for all skill levels
Enterprise Support: Dedicated customer success managers, scheduled Zoom calls with support teams, SLA-based response guarantees
Professional Services: Implementation, training, and custom development services for Enterprise customers
Mobile App: iOS and Android apps for agent creation, training, management from mobile devices with push notifications
7,000+ Template Library: Healthcare (1,134), customer service (1,050), HR (1,068), education (760) with predefined roles and responses
No Phone Support: Standard plans (Free/Bronze/Silver/Gold) lack phone support - chat and email only
No Dedicated Account Managers: Enterprise tier required for dedicated CSM and scheduled support calls
Documentation hub: Rich docs, tutorials, cookbooks, FAQs, API references for rapid onboarding
Developer Docs
Email and in-app support: Quick support via email and in-app chat for all users
Premium support: Premium and Enterprise plans include dedicated account managers and faster SLAs
Code samples: Cookbooks, step-by-step guides, and examples for every skill level
API Documentation
Active community: User community plus 5,000+ app integrations through Zapier ecosystem
Regular updates: Platform stays current with ongoing GPT and retrieval improvements automatically
Limitations & Considerations
High upfront cost: $50K-$500K+ initial development vs $29-$999/month SaaS solutions
Longer time to value: 2-6 month development cycle vs instant SaaS deployment
Custom maintenance required: Updates and changes require development work, not self-service
No out-of-box features: Everything built from scratch - no pre-built templates or no-code tools
Technical expertise required: IT team needed for ongoing management and infrastructure
Project-based approach: Each enhancement or change may require additional development sprint
Not for budget-constrained SMBs: Best suited for large enterprises with significant AI budgets
Best for unique needs only: Only justified when off-the-shelf solutions cannot meet requirements
CRITICAL: NO AI Agents API: No dedicated API for programmatically creating, managing, or querying AI agents - major developer limitation
Forms API Only: Existing REST API at api.jotform.com covers forms and form submissions ONLY, NOT AI agents
No Cloud Storage Ingestion: Google Drive, Dropbox, Notion function only as outbound file storage, NOT knowledge sources - critical workflow friction
No Word Document Support: .doc/.docx not explicitly supported - must convert to PDF before upload
No Model Selection: Users CANNOT choose between providers or bring own API keys - Jotform manages routing internally
No Benchmark Transparency: No published hallucination rates, retrieval accuracy percentages, or latency metrics
Limited B2B Messaging: Microsoft Teams & Telegram via Zapier integration only, NO native support
No Raw CSS Access: All customization flows through visual designer's predefined options - cannot inject custom CSS
SOC 2 Enterprise Only: Standard plans lack SOC 2 Type II certification - Enterprise tier required
Platform Positioning: Form-centric no-code chatbot platform with RAG - NOT developer-first RAG toolkit
Analytics Depth: More focused on "conversations + form analytics" vs comprehensive CX suite
Online Interactions Only: Primarily focuses on digital channels - may not suit businesses with significant offline engagement
Managed service approach: Less control over underlying RAG pipeline configuration compared to build-your-own solutions like LangChain
Vendor lock-in: Proprietary platform - migration to alternative RAG solutions requires rebuilding knowledge bases
Model selection: Limited to OpenAI (GPT-5.1 and 4 series) and Anthropic (Claude, opus and sonnet 4.5) - no support for other LLM providers (Cohere, AI21, open-source models)
Pricing at scale: Flat-rate pricing may become expensive for very high-volume use cases (millions of queries/month) compared to pay-per-use models
Customization limits: While highly configurable, some advanced RAG techniques (custom reranking, hybrid search strategies) may not be exposed
Language support: Supports 90+ languages but performance may vary for less common languages or specialized domains
Real-time data: Knowledge bases require re-indexing for updates - not ideal for real-time data requirements (stock prices, live inventory)
Enterprise features: Some advanced features (custom SSO, token authentication) only available on Enterprise plan with custom pricing
Core Agent Features
Custom AI Agents: Build autonomous agents using advanced LLM architecture with planning modules, memory systems, and RAG pipelines tailored to exact business requirements
Agent Development
Planning Module: Agents break down complex tasks into smaller manageable steps using task decomposition methods - enabling multi-step autonomous workflows
Memory System: Retains past interactions ensuring consistent responses in long-running workflows, maintaining context to improve handling of complex tasks over time
RAG Integration: Agents use specialized RAG pipelines, code interpreters, and external APIs to gather and process data efficiently - enhancing ability to access and use external resources for accurate outcomes
RAG Implementation
Tool & API Integration: Agents execute actions beyond Q&A - integrate with CRMs, ERPs, ITSM tools, proprietary APIs, and legacy systems through custom webhooks and endpoints
Domain-Tuned Behavior: Fine-tune on proprietary data for insider terminology, multi-turn memory with context preservation, and any language support including local LLM deployment
Hybrid Agent Capabilities: Build agents that run complex transactional tasks beyond simple Q&A - handle workflows like IT ticket creation, CRM updates, and approval processes
Hybrid Agents
Real-World Proven: Deployed AI Agent in Credit Agricole bank for customer service automation - routes simple queries automatically, flags complex ones for human support, and drafts personalized replies
Multilingual Auto-Detection: 20+ languages with automatic mid-conversation detection and switching to user's preferred language
Human Handoff - 'Take Over Chat': Green dot indicators for active conversations, seamless control transfer, full context preservation
Mobile Push Notifications: iOS/Android app alerts for takeover requests enabling intervention from anywhere
Configurable Escalation Triggers: Automatic flagging based on sentiment analysis, specific keywords, or explicit user requests
Lead Capture: Deep form integration linking to multiple Jotform forms with real-time validation during conversational flows
Payment Collection: 30+ gateway integrations for sales/donations directly within conversations
Conversation History: Fully logged with downloadable PDF transcripts and MP3 audio recordings (voice interactions)
Thumbs Up/Down Feedback: Individual response rating system for continuous improvement
Smart Triggers: Conditional responses based on conversation start, user intent, mentioned topics, sentiment (positive/negative/neutral), keywords, date/time, page URL
Trigger Actions: Show buttons, play videos, display presentations, send emails, create tickets, schedule appointments, start workflows, collect payments
Custom AI Agents: Build autonomous agents powered by GPT-4 and Claude that can perform tasks independently and make real-time decisions based on business knowledge
Decision-Support Capabilities: AI agents analyze proprietary data to provide insights, recommendations, and actionable responses specific to your business domain
Multi-Agent Systems: Deploy multiple specialized AI agents that can collaborate and optimize workflows in areas like customer support, sales, and internal knowledge management
Memory & Context Management: Agents maintain conversation history and persistent context for coherent multi-turn interactions
View Agent Documentation
Tool Integration: Agents can trigger actions, integrate with external APIs via webhooks, and connect to 5,000+ apps through Zapier for automated workflows
Hyper-Accurate Responses: Leverages advanced RAG technology and retrieval mechanisms to deliver context-aware, citation-backed responses grounded in your knowledge base
Continuous Learning: Agents improve over time through automatic re-indexing of knowledge sources and integration of new data without manual retraining
R A G-as-a- Service Assessment
Platform Type: CUSTOM AI DEVELOPMENT CONSULTANCY - not a platform but professional services firm building bespoke enterprise RAG solutions and AI agents from scratch (200+ clients served)
Core Offering: Project-based custom development of self-hosted AI agents, RAG architectures, and LLM applications tailored to exact specifications - not pre-built software or SaaS
Agent Capabilities: Build fully autonomous AI agents with planning modules, memory systems, RAG pipelines, and tool integration - proven in regulated industries like banking (Credit Agricole deployment)
Agent Services
Developer Experience: White-glove professional services with dedicated dev team, project-specific API development (JSON over HTTP), custom documentation and samples, hands-on support from kickoff through post-launch
No-Code Capabilities: NONE - everything requires custom development work. No dashboard, visual builders, or self-service tools. IT teams or bespoke admin panels handle configuration post-delivery
Target Market: Large enterprises with legacy systems needing specialized AI integration, organizations requiring on-premises deployment with complete data sovereignty, companies with unique needs that can't be met with off-the-shelf solutions
RAG Technology Approach: Best-practice retrieval with multi-index strategies, tuned prompts, fine-tuning on proprietary data to eliminate hallucinations, custom vector DB selection, and hybrid search strategies tailored to data characteristics
RAG Approach
Deployment Model: On-prem or private cloud only - complete data control with no cloud vendor dependencies, custom infrastructure managed by client, strong encryption and access controls integrated with existing security stack
Enterprise Readiness: ISO 27001 certification, GDPR and CCPA compliance, custom compliance measures for HIPAA or industry-specific requirements, AES-256 encryption, RBAC integrated with existing identity management
Pricing Model: Project-based $50K-$500K+ initial development plus optional ongoing maintenance contracts - higher upfront cost but no recurring SaaS fees, full solution ownership
Use Case Fit: Enterprises with legacy systems needing specialized AI integration, domain-tuned models with insider terminology, hybrid AI agents handling complex transactional tasks, on-premises deployment with complete data sovereignty
NOT A PLATFORM: Does not offer self-service software, API-as-a-service, or turnkey solutions - exclusively custom development consultancy requiring sales engagement and multi-month build cycles
Competitive Positioning: Competes with other AI consultancies (Azumo, internal AI teams) and enterprise RAG platforms - differentiates through 200+ client track record, regulated industry expertise (banking, legal), and complete customization
Platform Type: FORM-CENTRIC NO-CODE CHATBOT PLATFORM with RAG capabilities - NOT pure RAG-as-a-Service like CustomGPT or Progress
RAG Implementation: Confirmed and explicitly documented - "Jotform utilizes the RAG technique to ensure all generated responses...are based on accurate, verified information from an agent's knowledge base"
Core Identity: Platform positioned as 'form-builder extension' vs developer-first RAG toolkit - fundamentally different target market
CRITICAL: NO AI Agents API: Critical gap - cannot create, manage, or query agents programmatically. Existing REST API covers forms only, NOT AI agents
Developer Limitation: Platform architected for no-code visual builder use cases vs API-first development workflows
Productized Vertical Solution: Exceptional within design parameters (form-to-conversation, multi-channel deployment, templates) but architecturally incompatible with RAG-as-a-Service development patterns
Comparison Validity: Architectural comparison to CustomGPT.ai is LIMITED - both implement RAG but serve fundamentally different use cases (no-code SMB vs developer API platform)
Use Case Fit: Organizations already using Jotform forms (35M+ users), SMBs needing multi-channel deployment without coding, form-to-conversation workflows - NOT developers needing programmatic RAG access
Core Architecture: Serverless RAG infrastructure with automatic embedding generation, vector search optimization, and LLM orchestration fully managed behind API endpoints
API-First Design: Comprehensive REST API with well-documented endpoints for creating agents, managing projects, ingesting data (1,400+ formats), and querying chat
API Documentation
Developer Experience: Open-source Python SDK (customgpt-client), Postman collections, OpenAI API endpoint compatibility, and extensive cookbooks for rapid integration
No-Code Alternative: Wizard-style web dashboard enables non-developers to upload content, brand widgets, and deploy chatbots without touching code
Hybrid Target Market: Serves both developer teams wanting robust APIs AND business users seeking no-code RAG deployment - unique positioning vs pure API platforms (Cohere) or pure no-code tools (Jotform)
RAG Technology Leadership: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, proprietary anti-hallucination mechanisms, and citation-backed responses
Benchmark Details
Deployment Flexibility: Cloud-hosted SaaS with auto-scaling, API integrations, embedded chat widgets, ChatGPT Plugin support, and hosted MCP Server for Claude/Cursor/ChatGPT
Enterprise Readiness: SOC 2 Type II + GDPR compliance, full white-labeling, domain allowlisting, RBAC with 2FA/SSO, and flat-rate pricing without per-query charges
Use Case Fit: Ideal for organizations needing both rapid no-code deployment AND robust API capabilities, teams handling diverse content types (1,400+ formats, multimedia transcription), and businesses requiring production-ready RAG without building ML infrastructure from scratch
Competitive Positioning: Bridges the gap between developer-first platforms (Cohere, Deepset) requiring heavy coding and no-code chatbot builders (Jotform, Kommunicate) lacking API depth - offers best of both worlds
Form-to- Agent Conversion ( Core Differentiator)
N/A
9.5/10 Rated Differentiator: One-click transformation of static Jotform forms into conversational AI experiences
35M+ User Ecosystem: Built atop Jotform's massive form builder user base - natural migration path for existing customers
Structured Data Capture: Agent guides users through form fields in natural dialogue while maintaining data validation and structure
Payment Integration: 30+ gateway integrations work within conversational flows for sales/donations
Multi-Form Linking: Agents can link to multiple Jotform forms for complex data collection workflows
Real-Time Validation: Form field validation rules apply during conversation to ensure data quality
Conversion Optimization: Conversational interface increases form completion rates vs static forms
Approval Workflows: Multi-step approval processes integrated into conversational flows
Unique Market Position: No pure RAG platform offers comparable form-to-conversation capability - Jotform-specific advantage
After analyzing features, pricing, performance, and user feedback, both Deviniti and Jotform AI Agents are capable platforms that serve different market segments and use cases effectively.
When to Choose Deviniti
You value strong compliance and security focus
Self-hosted solutions for data privacy
Domain expertise in regulated industries
Best For: Strong compliance and security focus
When to Choose Jotform AI Agents
You value omnichannel excellence: 7 native channels (whatsapp, facebook messenger, instagram, sms, voice/phone, website, standalone) vs most competitors requiring third-party integrations
Form-to-agent conversion rated 9.5/10 differentiator - transforms static data collection into interactive conversation with one click
Best For: Omnichannel excellence: 7 native channels (WhatsApp, Facebook Messenger, Instagram, SMS, Voice/Phone, website, standalone) vs most competitors requiring third-party integrations
Migration & Switching Considerations
Switching between Deviniti and Jotform AI Agents requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.
Pricing Comparison Summary
Deviniti starts at custom pricing, while Jotform AI Agents begins at $39/month. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.
Our Recommendation Process
Start with a free trial - Both platforms offer trial periods to test with your actual data
Define success metrics - Response accuracy, latency, user satisfaction, cost per query
Test with real use cases - Don't rely on generic demos; use your production data
Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
Check vendor stability - Review roadmap transparency, update frequency, and support quality
For most organizations, the decision between Deviniti and Jotform AI Agents comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.
📚 Next Steps
Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.
• Review: Check the detailed feature comparison table above
• Test: Sign up for free trials and test with real queries
• Calculate: Estimate your monthly costs based on expected usage
• Decide: Choose the platform that best aligns with your requirements
Last updated: December 11, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.
The most accurate RAG-as-a-Service API. Deliver production-ready reliable RAG applications faster. Benchmarked #1 in accuracy and hallucinations for fully managed RAG-as-a-Service API.
DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.
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