Data Ingestion & Knowledge Sources
Document formats – PDF, DOCX, PPTX, CSV, TXT, HTML; 5MB free tier limit
Website crawling – Hundreds of thousands of pages indexed under 5 minutes
Google Drive – Native integration with real-time sync for cloud content
SQL databases – MySQL, PostgreSQL, Oracle, SQL Server, AWS/Azure/Google Cloud SQL
⚠️ YouTube, Dropbox, Notion, OneDrive – Zapier middleware required (no native integration)
File Support – PDF, Word, text, JSON, YAML, CSV; full website crawling
Cloud Integrations – Native Google Drive, Notion, Confluence, Guru (⚠️ no Dropbox)
Chat2KB (Growth/Enterprise) – Auto-extracts Q&A from conversations with conflict resolution
Real-time Updates – Starter 50 docs → Growth 1K → Enterprise unlimited
⚠️ YouTube transcripts NOT supported – LLMs "not great at video interpretation"
1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives
Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content
Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in
Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync
Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors
Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
Hybrid Retrieval Architecture ( Core Differentiator)
✅ Three-component system – Elasticsearch + Milvus vectors + XGBoost ML reranking
75.33 NDCG@10 – MTEB vs 73.16 pure vector (3% improvement)
96.50% Recall@20 – Anthropic benchmark vs 90.06% baseline
Models – snowflake-arctic-embed-m, bge-en-icl, voyage-2, OpenAI text-embedding-3-large
✅ Key finding – Open-source models match/exceed paid alternatives in benchmarks
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98.3% response accuracy – Claimed with 1.2-second average response
Source citation – Visual PDF highlighting with page-level references
⚠️ No published uptime SLA – Service reliability not documented
✅ 97-98% Accuracy Claim – Column Tax (94%, 98% resolved), Qogita (90%, 121% SLA)
6 Hallucination Prevention – RAGless, LLM filtering, confidence gating, guardrails, skill modules
Accuracy Tools – Sophia AI Evaluator (Growth/Enterprise), Paramount, CXACT Benchmarking
✅ 80% Ticket Resolution – End-to-end without human intervention
Sub-second responses – Optimized RAG with vector search and multi-layer caching
Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API
Anti-hallucination tech – Responses grounded only in your provided content
OpenGraph citations – Rich visual cards with titles, descriptions, images
99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Developer Experience ( A P I & S D Ks)
REST API + GraphQL – Bearer token auth with scored passage responses
denser-retriever – MIT-licensed Python package (261 stars, 30 forks)
Docker Compose – Full stack with Elasticsearch and Milvus containers
⚠️ Self-hosted "not production suitable" – Requires additional persistence and secrets config
Rate limits – 200 API calls/month on free tier
Base URL – https://api-prod.usefini.com (v2, Bearer Token auth)
Core Endpoints – /v2/bots/ask-question, /v2/bots/links/*, feedback, chat history
⚠️ NO Official SDKs – Only Python and Node.js examples
Documentation Quality – 3/5 completeness, 2/5 error handling, 1/5 rate limits
Paramount – Open-source tool (github.com/ask-fini/paramount) for accuracy measurement
REST API – Full-featured for agents, projects, data ingestion, chat queries
Python SDK – Open-source customgpt-client with full API coverage
Postman collections – Pre-built requests for rapid prototyping
Webhooks – Real-time event notifications for conversations and leads
OpenAI compatible – Use existing OpenAI SDK code with minimal changes
Supported LLMs – GPT-4o, GPT-4o mini, GPT-3.5, Claude (version unspecified)
API keys – Users provide OpenAI or Claude keys via environment
⚠️ No custom fine-tuning – No private model hosting documented
Starter (Free) – GPT-4o mini only
Growth – GPT-4o mini + Claude
Enterprise – GPT-4o + Multi-layer automatic routing per query part
RAGless Architecture – Query-writing AI; "no embeddings, no hallucinations"
⚠️ No Runtime Switching – Plan-based selection only
GPT-5.1 models – Latest thinking models (Optimal & Smart variants)
GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available
Claude 4.5 – Anthropic's Opus available for Enterprise
Auto model routing – Balances cost/performance automatically
Zero API key management – All models managed behind the scenes
Website deployment – JavaScript widget (single line), iFrame, REST API
WordPress – Official plugin with page-specific targeting for no-code install
Zapier – 6,000+ apps with lead form triggers and events
⚠️ No native Slack, Teams, Discord – WhatsApp via Zapier only
⚠️ CRM via Zapier only – HubSpot, Salesforce, Zendesk not native
20+ Native Helpdesk Integrations – Zendesk, Intercom, Salesforce, Front, Gorgias, HubSpot (⚠️ no Zapier)
Omnichannel – Slack, Discord, Teams; WhatsApp/Messenger via Zendesk/Intercom (⚠️ not Telegram)
Website Options – Fini Widget, Search Bar, Standalone; Chrome Extension for agents
Website embedding – Lightweight JS widget or iframe with customizable positioning
CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support
5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools
MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf
OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints
LiveChat + Slack – Native chat widgets with human handoff capabilities
Drag-and-drop builder – Theme colors, logos, button sizing, bubbles
Custom domains – Available on paid tiers for white-labeling
Welcome messages – Configure suggested questions and greetings
GUI Widget Editor – Logo, colors, title, messages, FAQs (⚠️ CSS not documented)
White-Labeling – Custom domain (CNAME), full logo replacement, agent identity renaming
100+ Tone Options – Friendly, Professional, TaxAssistant, Finance advisor, Casual, polite
Dynamic Routing – User context (VIP, first-time, veteran) for metadata-driven personalization
Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost
2-minute setup – No-code wizard with drag-and-drop interface
Persona customization – Control AI personality, tone, response style via pre-prompts
Visual theme editor – Real-time preview of branding changes
Domain allowlisting – Restrict embedding to approved sites only
No- Code Interface & Usability
Visual builder – Drag-and-drop theme customization without coding
Setup – Single line JavaScript; WordPress plugin for no-code
⚠️ Learning curve – Documentation fragmented across multiple sites
⚠️ ~4-person team – Impacts enterprise support capacity
✅ Time to Go Live – "2 minutes" setup, <1 week full integration, 1-2 weeks Enterprise
No-Code Deployment – Widget (JS snippet), Search Bar, Standalone, native helpdesk one-click, Chrome Extension
Admin Dashboard – Agent creation, Knowledge Hub (Notion/Confluence/Drive), Prompt Configurator (escalation, guardrails)
Pre-Built Templates – E-commerce, fintech, SaaS onboarding workflows
2-minute deployment – Fastest time-to-value in the industry
Wizard interface – Step-by-step with visual previews
Drag-and-drop – Upload files, paste URLs, connect cloud storage
In-browser testing – Test before deploying to production
Zero learning curve – Productive on day one
Integrated lead capture – Configurable fields (name, email, company, role, phone)
Conversation-triggered forms – Dynamic deployment based on conversation context
Analytics dashboard – Lead quality, satisfaction scores, conversion trends
✅ 24.8% conversion rate – Claimed on homepage demonstrating effectiveness
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Multi- Language & Localization
80+ languages – Automatic language detection for global deployments
Multilingual rerankers – jinaai/jina-reranker-v2-base-multilingual support
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Conversation history – 30-360 days retention by tier
Human handoff – Triggers when complexity exceeds scope
Escalation workflows – Zendesk ticket creation for handoffs
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Observability & Monitoring
Conversation logs – Retention by tier (30-360 days)
User engagement tracking – Common queries, conversation length, drop-off points
⚠️ No A/B testing – No third-party BI integration (Tableau, PowerBI)
⚠️ No real-time alerting – No documented SLA tracking
Fini 2.0 (Jan 2025) – AI resolution, quality, confidence, CSAT, agent productivity, drop-off analysis
Chat History (Feb 2025) – Centralized view with filtering; CSV/JSON export for Looker/Tableau
AI Categorization – Auto-tags by topic (returns, login, pricing, shipping)
Knowledge Gap Analysis – Identifies unanswerable questions with improvement suggestions
Real-time dashboard – Query volumes, token usage, response times
Customer Intelligence – User behavior patterns, popular queries, knowledge gaps
Conversation analytics – Full transcripts, resolution rates, common questions
Export capabilities – API export to BI tools and data warehouses
S Q L Database Chat ( Unique Feature)
✅ Direct SQL connectivity – Conversational BI across major databases
Supported databases – MySQL, PostgreSQL, Oracle, SQL Server, AWS/Azure/Google Cloud SQL
Natural language to SQL – Ask questions, receive database query results
AES-256 encryption – Secure connections with read-only access requirement
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Free – $0: 1 chatbot, 20 queries/month, 5MB limit
Starter – $19-29/month: 2 chatbots, 1,500 queries/month, 30-day logs
Standard – $89-119/month: 4 chatbots, 7,500 queries/month, custom domain
Business – $399-799/month: 8 chatbots, 15,000 queries/month, priority support
Enterprise – Custom: Private cloud, dedicated support, AWS Marketplace
⚠️ User feedback – "Plans quite restrictive, credit limits reached sooner"
⚠️ Pricing NOT Publicly Disclosed – Requires sales contact
Starter (Free) – GPT-4o mini, ~50 questions/month, ~50 docs, 2 bots
Growth (est. $999/mo) – GPT-4o mini/Claude, 1K docs, unlimited users, SOC 2, RBAC, Chat2KB
Enterprise (Custom) – GPT-4o, Multi-layer models, unlimited docs, AI Actions, white-glove onboarding
✅ Zero-Pay Guarantee – Only pay if >80% accuracy met
Standard: $99/mo – 60M words, 10 bots
Premium: $449/mo – 300M words, 100 bots
Auto-scaling – Managed cloud scales with demand
Flat rates – No per-query charges
⚠️ NO SOC 2, HIPAA, ISO 27001, GDPR certifications – Not for regulated industries
Private cloud deployments – Enterprise tier for data sovereignty
AES-256 encryption – Database connections with read-only access
AWS infrastructure – Data storage and processing on AWS
✅ Certifications – SOC 2 Type II (zero findings), ISO 27001, ISO 42001, GDPR
⚠️ HIPAA Conflicting – Marketing claims vs. case study "next up" (verify)
⚠️ PCI DSS – Claimed but not on official security section (verify)
PII Shield – Auto-masks SSN, passport, license, taxpayer ID, credit cards
Encryption – AES-256 at rest, TLS 1.3 in transit; "no training" policy
Access Controls – RBAC (Growth/Enterprise), SSO, audit logging, EU/US data residency
SOC 2 Type II + GDPR – Third-party audited compliance
Encryption – 256-bit AES at rest, SSL/TLS in transit
Access controls – RBAC, 2FA, SSO, domain allowlisting
Data isolation – Never trains on your data
✅ denser-retriever – MIT-licensed, 261 GitHub stars, full RAG transparency
Docker Compose deployment – Local experimentation with Elasticsearch and Milvus
Validate benchmarks – Test embeddings, rerankers, chunking on own data
⚠️ Self-hosted "not production suitable" – Denser recommends managed SaaS
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Founded 2023 – Silicon Valley startup, ~4 employees (bootstrapped)
✅ Founder Zhiheng Huang – Former Amazon Kendra scientist, Amazon Q lead
70+ research papers – 14,000+ citations; BLSTM-CRF 5,400+ citations
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R A G-as-a- Service Assessment
✅ TRUE RAG PLATFORM – Hybrid retrieval with open-source transparency
Data source flexibility – Good (documents, websites, Google Drive, SQL)
LLM model options – Good (GPT-4o, Claude, multiple embeddings/rerankers)
✅ Open-source transparency – Excellent (MIT-licensed core, published benchmarks)
⚠️ Compliance & certifications – Poor (no SOC 2, HIPAA, ISO 27001)
Best for – Technical teams prioritizing retrieval accuracy and validation
Platform Type – AGENTIC AI CUSTOMER SUPPORT with RAGless architecture, NOT traditional RAG-as-a-Service
Architectural Approach – Query-writing AI; "no embeddings, no hallucinations" with deterministic results
Sophie's 5-Layer Framework – 97-98% accuracy vs. ~80% competitors; Zero-Pay Guarantee
⚠️ Developer Experience – Basic REST API (v2), NO SDKs, docs (3/5, 2/5, 1/5)
No-Code Capabilities – "2 minutes" setup, 20+ native helpdesk integrations, "Day 1 Ready-to-Use"
⚠️ NOT A RAG PLATFORM – Explicitly positions AGAINST traditional RAG; fundamentally different
⚠️ NOT Suitable For – General Q&A, content generation, no helpdesk, programmatic RAG API needs
Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure
API-first – REST API, Python SDK, OpenAI compatibility, MCP Server
No-code option – 2-minute wizard deployment for non-developers
Hybrid positioning – Serves both dev teams (APIs) and business users (no-code)
Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
vs CustomGPT – Superior retrieval transparency, SQL chat; gaps in compliance
vs Glean – Open-source vs proprietary, lower cost; lacks permissions-aware AI
✅ Unique strengths – Hybrid retrieval benchmarks, founder pedigree, SQL chat
Target audience – Developers building AI chatbots without strict compliance
Market Position – Agentic AI for customer support; Sophie's 5-layer + RAGless claiming 97-98% accuracy
Key Competitors – Intercom Fin, Zendesk Answer Bot, Ada, Ultimate.ai, traditional RAG chatbots
✅ Competitive Advantages – 97-98% accuracy vs. ~80%, 20+ native integrations, RAGless, 100+ languages, Zero-Pay Guarantee
Best Value For – Enterprises prioritizing accuracy, action-taking AI, regulated industries (fintech, healthcare)
Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox.
Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing
vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster
vs Botsonic/Chatbase – More file formats, source citations, no hidden costs
vs LangChain – Production-ready in 2 min vs weeks of development
✅ Hybrid retrieval – ES + Milvus vectors + XGBoost reranking
75.33 NDCG@10 on MTEB – vs 73.16 pure vector (3% improvement)
96.50% Recall@20 – Anthropic benchmark vs 90.06% baseline
Source citation – Visual PDF highlighting with page references
98.3% accuracy claimed – 1.2-second average response time
RAGless Architecture – Query-writing AI; "no embeddings, no hallucinations" with precise attribution
6-Mechanism Prevention – LLM filtering, confidence gating, guardrails, deterministic skill modules
Real-time Knowledge – Content used immediately after ingestion without retraining
Chat2KB (Growth/Enterprise) – Auto-extracts Q&A with MECE classification, conflict resolution
✅ Customer Results – Column Tax (94%, 98% resolved), Qogita (90%, 121% SLA)
GPT-4 + RAG – Outperforms OpenAI in independent benchmarks
Anti-hallucination – Responses grounded in your content only
Automatic citations – Clickable source links in every response
Sub-second latency – Optimized vector search and caching
Scale to 300M words – No performance degradation at scale
Customer support chatbots – Website deployment with 24.8% conversion rate
✅ SQL database chat (unique) – Natural language queries against major databases
Technical documentation – Hundreds of thousands of pages indexed under 5 minutes
Multilingual support – 80+ languages with automatic detection
Developer-focused RAG – MIT-licensed denser-retriever for validation
✅ Enterprise B2C Support – High-volume fintech, e-commerce, healthcare (80% resolution, 97-98% accuracy)
✅ Action-Taking AI – Autonomous refunds, updates, CRM sync (Salesforce, Stripe, Shopify)
✅ Helpdesk Integration – 20+ native platforms (Zendesk, Intercom, Salesforce, Front) without Zapier
✅ PII-Sensitive Industries – Auto-masking SSN, passport, license, credit cards with PII Shield
⚠️ NOT Suitable For – General Q&A, content generation, no existing helpdesk
Customer support – 24/7 AI handling common queries with citations
Internal knowledge – HR policies, onboarding, technical docs
Sales enablement – Product info, lead qualification, education
Documentation – Help centers, FAQs with auto-crawling
E-commerce – Product recommendations, order assistance
Documentation – docs.denser.ai, retriever.denser.ai, GitHub READMEs
⚠️ Documentation fragmented – Information scattered across multiple sites
~4-person team – Impacts enterprise support capacity
Open-source community – 261 GitHub stars, 30 forks, MIT license
Founding Team – Ex-Uber engineers; CEO led 4M+ interactions/month; Y Combinator S22, Matrix Partners
Customers – HackerRank, Qogita, Column Tax, Bitdefender, Duolingo, Meesho
60-Day Implementation – Discovery → Deployment → Optimization → Production with dedicated managers
Enterprise Support – Dedicated AI engineers, CSMs, 24/7 Slack channels
⚠️ Documentation Quality – 3/5 completeness, 2/5 error handling, 1/5 rate limits; NO SDKs
Documentation hub – Docs, tutorials, API references
Support channels – Email, in-app chat, dedicated managers (Premium+)
Open-source – Python SDK, Postman, GitHub examples
Community – User community + 5,000 Zapier integrations
Limitations & Considerations
⚠️ No compliance certifications – Missing SOC 2, HIPAA, ISO 27001, GDPR
⚠️ Small team (~4 people) – Potential scaling constraints for enterprise
⚠️ Heavy Zapier dependency – No native Slack, Teams, CRM integrations
⚠️ Fragmented documentation – Scattered across docs, retriever docs, GitHub
⚠️ User feedback – "Plans restrictive, credit limits reached sooner"
⚠️ Pricing Opacity – No public pricing creates evaluation friction
⚠️ HIPAA & PCI DSS Unverified – Conflicting claims require verification
⚠️ Documentation Limitations – Basic API docs (3/5, 2/5, 1/5), no SDKs
⚠️ Small Team (14 employees) – Limited capacity vs. enterprise competitors
⚠️ Platform Lock-In – Requires existing helpdesk (Zendesk/Intercom/Salesforce)
✅ Best For – Enterprise B2C high-volume prioritizing 97-98% accuracy, 60-day commitment
Managed service – Less control over RAG pipeline vs build-your-own
Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source
Real-time data – Requires re-indexing; not ideal for live inventory/prices
Enterprise features – Custom SSO only on Enterprise plan
AI agent capabilities – Process data for intelligent automation with customization
Multi-platform deployment – Launch across websites and messaging with single line
Adaptive learning – Chatbot learns over time using conversation analysis
24/7 availability – Smart AI support with instant answers
Sophie AI Agent – Fully autonomous resolving 80% of tickets end-to-end without human intervention
5-Layer Execution – Safety Guardrails (40+ filters, PII), LLM Supervisor, Skills, Feedback, Traceability
Multi-Layer Architecture (Enterprise) – Automatic routing to best LLM per query part; specialized agents
Action-Taking – Autonomous refunds, updates, CRM sync (Salesforce, Stripe, Shopify)
✅ 100+ Languages – Automatic translation with locale-based routing
Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks
Multi-Agent Systems – Specialized agents for support, sales, knowledge
Memory & Context – Persistent conversation history across sessions
Tool Integration – Webhooks + 5,000 Zapier apps for automation
Continuous Learning – Auto re-indexing without manual retraining
Conversational interface – Chat with customers in friendly manner
Business knowledge integration – Trained on documents, websites, Google Drive
Multi-language support – 80+ languages with automatic detection
Lead capture – Integrated forms (name, email, company, role)
Human handoff – Triggers on complexity with Zendesk tickets
Sophie AI Agent – 5-layer execution: Safety, LLM Supervisor, Skills, Feedback, Traceability
100+ Languages – Locale-based routing with real-time translation
Human Handoff – Context-preserving escalation via keywords, sentiment, confidence thresholds
✅ 80% Ticket Resolution – End-to-end without human intervention claim
✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI
✅ Source citations – Every response includes clickable links to original documents
✅ 93% resolution rate – Handles queries autonomously, reducing human workload
✅ 92 languages – Native multilingual support without per-language config
✅ Lead capture – Built-in email collection, custom forms, real-time notifications
✅ Human handoff – Escalation with full conversation context preserved
Customization & Flexibility ( Behavior & Knowledge)
Behavior customization – Define name, tone, response preferences
File support – PDF, DOCX, XLSX, PPTX, TXT, HTML, CSV, XML
Website crawling – Train bot by crawling URLs for knowledge base
Easy knowledge updates – Add documents, re-crawl, update without rebuild
Flexible deployment – Web widget, dashboard, or API integration
Guidelines System – Tone, phrases, forbidden terms, formatting, response length
Bot Management – Starter 2 bots → Growth/Enterprise unlimited
Real-time Learning – Chat2KB auto-learning (MECE), Flows for specialized workflows
Dynamic Personalization – User context from backend, segment-based routing
Live content updates – Add/remove content with automatic re-indexing
System prompts – Shape agent behavior and voice through instructions
Multi-agent support – Different bots for different teams
Smart defaults – No ML expertise required for custom behavior
N/A
Founding Team – Ex-Uber engineers; CEO led 4M+ interactions/month at Uber
Backed By – Y Combinator S22 ($125K), Matrix Partners, angels from Uber/Intercom/Softbank
Customers – HackerRank, Qogita, Column Tax, Bitdefender, Duolingo, Meesho, TrainingPeaks
Implementation – 60-day program; Enterprise gets dedicated AI engineers, 24/7 Slack
Comprehensive docs – Tutorials, cookbooks, API references
Email + in-app support – Under 24hr response time
Premium support – Dedicated account managers for Premium/Enterprise
Open-source SDK – Python SDK, Postman, GitHub examples
5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
Additional Considerations N/A
RAGless Positioning – Criticizes RAG as "search engines" claiming "will become obsolete"
Action-Taking Focus – Actions vs. information ("Done! Refund processed" vs. "Find details here")
Target Customer – Enterprise B2C high-volume (fintech, e-commerce, healthcare)
vs. Intercom Fin – Claims 95%+ accuracy vs. ~80%; platform agnostic
⚠️ Less Suitable For – General Q&A, content generation, standalone chatbots
Time-to-value – 2-minute deployment vs weeks with DIY
Always current – Auto-updates to latest GPT models
Proven scale – 6,000+ organizations, millions of queries
Multi-LLM – OpenAI + Claude reduces vendor lock-in
N/A
Starter (Free) – GPT-4o mini only (~50 questions/month)
Growth – GPT-4o mini + Claude, 1K docs, unlimited users
Enterprise – GPT-4o + Multi-layer automatic routing per query part
✅ Target Accuracy – 97-98% claim with human-in-the-loop customization
⚠️ No Manual Switching – Plan-based model selection only
OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series
Anthropic – Claude 4.5 Opus/Sonnet (Enterprise)
Auto-routing – Intelligent model selection for cost/performance
Managed – No API keys or fine-tuning required
N/A
✅ SOC 2 Type II – Zero audit findings per Sprinto
✅ ISO 27001 & 42001 – Information security + AI governance
✅ GDPR Compliant – Full data subject rights, EU data residency
⚠️ HIPAA Conflicting – Marketing claims vs. case study "next up" (verify)
⚠️ PCI DSS – Claimed but not on official security page (verify)
"No Training on Data" – OpenAI DPA; PII Shield; AES-256, TLS 1.3
SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance
256-bit AES encryption – Data at rest; SSL/TLS in transit
SSO + 2FA + RBAC – Enterprise access controls with role-based permissions
Data isolation – Never trains on customer data
Domain allowlisting – Restrict chatbot to approved domains
N/A
⚠️ Pricing NOT Publicly Disclosed – Requires sales contact
Starter (Free) – GPT-4o mini, ~50 questions/month, ~50 docs, 2 bots
Growth (est. $999/mo) – GPT-4o mini/Claude, 1K docs, unlimited users, SOC 2, RBAC, Chat2KB
Enterprise (Custom) – GPT-4o, Multi-layer models, unlimited docs, AI Actions, white-glove onboarding
✅ Zero-Pay Guarantee – Only pay if >80% accuracy met (unique risk mitigation)
Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot
Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot
Enterprise: Custom – SSO, dedicated support, custom SLAs
7-day free trial – Full Standard access, no charges
Flat-rate pricing – No per-query charges, no hidden costs
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