What are the main differences between Fini AI and Progress Agentic RAG?

Fini AI excels in Industry-leading 97-98% accuracy claim backed by customer testimonials and True action-taking capabilities - executes refunds, KYC, account updates beyond Q&A, scoring 91/100 in user ratings with 97% accuracy. Progress Agentic RAG leads in Proprietary REMi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors and Open-source NucliaDB transparency (710+ GitHub stars) with managed infrastructure removes operational burden while maintaining technical visibility with 82/100 overall rating and N/A% accuracy. Key technical difference: Fini AI focuses on Sophie AI Agent with 5-layer supervised execution while Progress Agentic RAG emphasizes REMi evaluation model v2 (Llama 3.2-3B) for continuous quality scoring: answer relevance, context relevance, groundedness, correctness (0-5 scale). Pricing differs by $700/month.

Which is better for enterprises: Fini AI or Progress Agentic RAG?

Fini AI offers SOC 2 compliance for enterprise security. HIPAA compliance varies - contact vendors for details. For scalability, both offer cloud-based deployment options. Fini AI leads with 91/100 enterprise readiness score (89/100 enterprise features).

How much does Fini AI cost vs Progress Agentic RAG?

Fini AI starts at custom pricing/monthly (usage-based model), while Progress Agentic RAG begins at $700/monthly (paid model). Fini AI offers a free tier. This represents a significant price difference of $700/month. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Progress Agentic RAG to Fini AI?

Migration from Progress Agentic RAG to Fini AI typically requires API-based data export/import, which Fini AI provides. Fini AI provides comprehensive API access fair documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Fini AI support for migration assistance and best practices.

What integrations do Fini AI and Progress Agentic RAG support?

Fini AI integrates with Zendesk (Native marketplace app), Intercom (Native with Fin compatibility), Salesforce Service Cloud, Front, Gorgias (19 integrations total). Progress Agentic RAG supports Python SDK: pip install nuclia (Python 3.8+, ~21K weekly downloads), JavaScript/TypeScript SDK: @nuclia/core (React, Next.js, Angular, Vue.js, Svelte), CMS plugins: WordPress, Strapi, Workflow: Pipedream official app, Zapier API-compatible, Chrome extension for web page indexing (7 integrations available). Both offer REST APIs for custom integrations. Fini AI offers 171% more integrations, with webhook support for real-time data sync.

What are the main differences between Fini AI and Progress Agentic RAG?

Fini AI offers strong capabilities, scoring 0/100 in user ratings. Progress Agentic RAG provides unique strengths with 0/100 overall rating. Key technical difference: Fini AI focuses on advanced features while Progress Agentic RAG emphasizes specialized capabilities.

Which is better for enterprises: Fini AI or Progress Agentic RAG?

Both platforms provide enterprise-grade security. HIPAA compliance varies - contact vendors for details. For scalability, both offer cloud-based deployment options. Progress Agentic RAG leads with strong/100 enterprise readiness score.

How much does Fini AI cost vs Progress Agentic RAG?

Fini AI starts at custom pricing/month (subscription model), while Progress Agentic RAG begins at contact sales/month (subscription model). Both require paid plans. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Fini AI to Progress Agentic RAG?

Migration from Fini AI to Progress Agentic RAG typically requires manual data transfer since API access may be limited. Progress Agentic RAG offers standard documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Progress Agentic RAG support for migration assistance and best practices.

What integrations do Fini AI and Progress Agentic RAG support?

Fini AI integrates with (multiple platforms). Progress Agentic RAG supports (various tools). API availability varies by plan. Integration coverage is comparable.

Fini AI vs Progress Agentic RAG

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

More about Progress Agentic RAG More about Fini AI Get Started Today

Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare Fini AI and Progress Agentic RAG 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 Fini AI and Progress Agentic RAG, 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 Fini AI if: you value industry-leading 97-98% accuracy claim backed by customer testimonials
Choose Progress Agentic RAG if: you value proprietary remi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors

About Fini AI

Fini AI is ragless ai agent for customer support automation. Fini AI is a next-generation customer support platform built on proprietary RAGless architecture, claiming 97-98% accuracy. Founded by ex-Uber engineers and backed by Y Combinator, Fini specializes in action-taking AI agents that execute refunds, update accounts, and verify identities—going beyond traditional RAG document retrieval. Founded in 2022, headquartered in Amsterdam, Netherlands, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

91/100

Starting Price

Custom

About Progress Agentic RAG

Progress Agentic RAG Landing Page Screenshot

Progress Agentic RAG is enterprise application development and deployment platform. Enterprise RAG-as-a-Service platform launched Sept 2025 following Progress Software's acquisition of Barcelona-based Nuclia. Combines SOC2/ISO 27001 security with proprietary REMi evaluation model for continuous answer quality monitoring. Built on open-source NucliaDB (710+ GitHub stars) with Python/JavaScript SDKs. Starting at $700/month. Founded in 2019 (Nuclia), acquired 2025, headquartered in Barcelona, Spain (Nuclia) / Bedford, MA, USA (Progress), the platform has established itself as a reliable solution in the RAG space.

Overall Rating

82/100

Starting Price

$700/mo

Key Differences at a Glance

In terms of user ratings, Fini AI in overall satisfaction. From a cost perspective, Fini AI starts at a lower price point. The platforms also differ in their primary focus: AI Agent versus Enterprise Software. 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

Fini AI	Progress Agentic RAG	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
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"	60+ Document Formats – PDF, Word, Excel, PPT, email with auto parsing Multimedia Processing – Auto speech-to-text, video transcripts, OCR for scans Cloud Connectors – SharePoint, Confluence, OneDrive, Google Drive, S3 Fast Deployment – 2-hour initial ingestion, 48-hour full deployment ⚠️ Missing – No Dropbox, Notion, or YouTube transcript integration	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
Integrations & Channels
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	Python SDK – 21K weekly downloads, Python 3.8+ support JavaScript/TypeScript SDK – React, Next.js, Angular, Vue, Svelte support Progress Ecosystem – OpenEdge database, Sitefinity CMS integration ⚠️ No Messaging Channels – No native Slack, WhatsApp, Teams integrations	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
Core Chatbot Features
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	AI Search & Answers – Semantic search with source-linked trusted answers Multi-Turn Conversations – Context-aware dialogue maintains conversation history Multilingual Support – Nuclia multilingual embedding model handles multiple languages ⚠️ Missing – No lead capture or human handoff workflows	✅ #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 & Branding
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	Prompt Lab – Test LLMs side-by-side using actual customer data 30+ RAG Parameters – Custom chunking, context size, hybrid search weighting Widget Customization – Visual editor for filters, metadata, thumbnails, answer modes RBAC – Account and Knowledge Box level permissions with SSO	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
L L M Model Options
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	7 Providers – Anthropic, OpenAI, Google, Meta Llama, Mistral, Cohere Nuclia Private GenAI – 100% data isolation for maximum security Model Switching – Change providers without architectural changes	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
Developer Experience ( A P I & S D Ks)
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	Open-Source Foundation – NucliaDB 710+ stars, AGPLv3, Python/Rust Python SDK – 21K weekly downloads, full API coverage JavaScript/TypeScript SDK – React, Next.js, Angular, Vue, Svelte support REST API – Regional endpoints /ask, /find, /upload, /remi	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
Performance & Accuracy
✅ 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	✅ Benchmark Leader – Highest scores vs Vectara on Docmatix 1.4k dataset 100M Vectors – Fully ingested and optimized in ~20 minutes REMi v2 Speed – 30x faster inference, Llama 3.2-3B based Four-Index Hybrid – Document, Full Text, Vector/Chunk, Knowledge Graph	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
Customization & Flexibility ( Behavior & Knowledge)
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	30+ RAG Parameters – Fine-grained control over retrieval behavior Hybrid Weighting – Balance keyword vs semantic search relevance Agent Autonomy – Auto select optimal strategies per query Prompt Lab – Test configurations with actual data before production	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
Pricing & Scalability
⚠️ 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	Fly – $700/mo: 10GB/15K resources, 750MB max file Growth – $1,750/mo: 50GB/80K resources, 1.5GB max, Prompt Lab Enterprise – Custom: Unlimited data, 11 KBs, hybrid/on-prem ✅ Competitive Entry – $700/mo undercuts enterprise alternatives	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
Security & Privacy
✅ 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	✅ SOC2 Type 2 – Annually audited enterprise security ✅ ISO 27001 – Annually audited information security management ✅ GDPR Compliant – Built-in PII anonymization auto-detects personal data Encryption – AES-256 at rest, TLS in transit ⚠️ NO HIPAA – Healthcare PHI processing requires sales clarification	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
Observability & Monitoring
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	REMi Dashboard – Real-time metrics for relevance, groundedness, correctness (0-5) Rolling Averages – Performance graphs spanning 24h to 30 days Benchmark Validated – Tested vs Vectara on Docmatix 1.4k dataset ⚠️ No Proactive Alerts – Alerting not documented despite monitoring	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
Support & Ecosystem
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	Documentation – docs.rag.progress.cloud + legacy docs.nuclia.dev SDK Ecosystem – Python 21K weekly + JavaScript/TypeScript active usage Progress Support – 2,000+ employee parent company infrastructure AWS Marketplace – November 2025 for streamlined procurement	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
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	✅ REMi Quality – 30x faster v2, continuous evaluation addresses hallucination ✅ Open-Source Trust – NucliaDB 710+ stars enables security audits ⚠️ Recent Acquisition – June 2025 Progress purchase, platform transitioning	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
No- Code Interface & Usability
✅ 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	Target Users – Non-technical teams: marketing, HR, legal, support Visual Dashboard – Create KB, upload docs, deploy widget in one session Point-and-Click Editor – Configure suggestions, filters, metadata visually Rapid Deployment – Minutes-to-production capability for business users	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
Competitive Positioning
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)	✅ Pricing Advantage – $700/mo entry undercuts competitors ✅ REMi Differentiator – Continuous quality monitoring ⚠️ Integration Gaps – No native Slack/WhatsApp/Teams	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
A I Models
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	7 Providers – Anthropic, OpenAI, Google, Meta, Mistral, Cohere Nuclia Private GenAI – 100% data isolation for security	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
R A G Capabilities
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)	Agentic RAG Engine – Retrieval agents auto-select strategies Four-Index Hybrid – Document, Full Text, Vector, Knowledge Graph REMi v2 Quality – Continuous evaluation, 30x faster Multimodal – OCR, speech-to-text, 60+ formats	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
Use Cases
✅ 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	Enterprise Knowledge – Deploy knowledge bases in minutes Healthcare & Pharma – Medical protocol search Developer RAG Backend – API-first for custom AI apps	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
Security & Compliance
✅ 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	✅ SOC2 Type 2, ISO 27001, GDPR Encryption – AES-256 at rest, TLS in transit ⚠️ NO HIPAA – Healthcare requires sales contact	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
Pricing & Plans
⚠️ 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)	Fly – $700/mo: 10GB/15K resources Growth – $1,750/mo: 50GB/80K resources Enterprise – Custom: Unlimited, hybrid/on-prem	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
Support & Documentation
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 – docs.rag.progress.cloud SDK Ecosystem – Python 21K weekly + JavaScript Progress Support – 2,000+ employee parent company	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
⚠️ 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	⚠️ NO HIPAA – Healthcare PHI requires sales contact ⚠️ NO Messaging – No Slack, WhatsApp, Teams ⚠️ Acquisition Risk – June 2025 purchase, transitioning	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
Core Agent Features
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	Retrieval Agents – Autonomously select optimal retrieval strategies per query Pre-Built Agents (Beta) – Labeler, summarization, graph extraction, Q&A, safety Web Components – <nuclia-search-bar> and <nuclia-chat> for embedding ⚠️ No Proactive Alerts – Monitoring exists but alerting undocumented	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
R A G-as-a- Service Assessment
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	✅ TRUE RAG-AS-A-SERVICE – Core mission is RAG backend LLM Flexibility – 7 providers switchable without changes Open-Source – NucliaDB 710+ stars, AGPLv3	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
R E Mi Evaluation Model ( Core Differentiator)
N/A	✅ Proprietary Investment – Addresses hallucination, absent from competitors REMi v2 – Llama 3.2-3B based, 30x faster inference Continuous Quality – Evaluates every interaction across 4 dimensions (0-5) ✅ Benchmark Leader – Highest scores vs Vectara on Docmatix 1.4k	N/A
Open- Source Nuclia D B Foundation
N/A	GitHub Presence – 710+ stars, AGPLv3 transparency into retrieval Technology Stack – Python and Rust for performance Four Index Types – Document, Full Text, Chunk/Vector, Knowledge Graph 100M Vector Performance – Full ingestion in ~20 minutes	N/A
Multi- Lingual Support
N/A	Nuclia Multilingual Embedding – Default model supports multiple languages 60+ Format Processing – Multi-language across PDF, Word, Excel, PPT Auto Transcription – Multi-language speech-to-text for audio/video	N/A

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Final Thoughts

Final Verdict: Fini AI vs Progress Agentic RAG

After analyzing features, pricing, performance, and user feedback, both Fini AI and Progress Agentic RAG are capable platforms that serve different market segments and use cases effectively.

When to Choose Fini AI

You value industry-leading 97-98% accuracy claim backed by customer testimonials
True action-taking capabilities - executes refunds, KYC, account updates beyond Q&A
RAGless architecture eliminates hallucinations with precise source attribution

Best For: Industry-leading 97-98% accuracy claim backed by customer testimonials

When to Choose Progress Agentic RAG

You value proprietary remi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors
Open-source NucliaDB transparency (710+ GitHub stars) with managed infrastructure removes operational burden while maintaining technical visibility
Genuine no-code accessibility: business users (marketing, HR, legal, support) can deploy functional RAG pipelines in minutes via visual dashboard

Best For: Proprietary REMi v2 model (30x faster inference) addresses hallucination problem with continuous quality monitoring - differentiated capability absent from most competitors

Migration & Switching Considerations

Switching between Fini AI and Progress Agentic RAG 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

Fini AI starts at custom pricing, while Progress Agentic RAG begins at $700/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 Fini AI and Progress Agentic RAG 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: February 3, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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Priyansh Khodiyar

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.

Fini AI vs Progress Agentic RAG