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"
Multimodal Indexing – Indexes PDF, Word, Excel, PowerPoint, web pages, images with OCR, audio/video transcription
Programmatic Ingestion – REST API, Python/JS SDKs, CLI for automated data uploads
Sync Agent – Auto-watches cloud drives and sitemaps for continuous nonstop indexing
Language Support – Handles virtually any text-based language (non-pictogram languages only)
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
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
No-Code Widget – Drop search/Q&A panel onto websites in minutes
Workflow Automation – n8n and Zapier integration for thousands of service connections
API-First Design – Embed into any channel via REST API/SDKs
⚠️ No Native Bots – No one-click Slack/Teams bots (requires custom development)
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
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 + Q&A – Semantic search with generative answers from your data
Source Citations – Shows exact sources for answer transparency and trust
Auto-Summarization – Summarizes long docs with entity recognition and AI classification
Multi-Turn Chat – Handles one-shot Q&A and conversational multi-turn interactions
✅ #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
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
Widget Styling – No-code widget offers basic styling customization options
Custom Prompts – Set system prompts to adjust tone and response style
Custom UI – Build fully branded front-end on flexible API
⚠️ Advanced Branding – Deep customization requires developer resources and API integration
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
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
Model-Agnostic – OpenAI, Azure OpenAI, Google PaLM 2, Cohere, Anthropic, Hugging Face
100% Private GenAI – Keep all processing on Nuclia infrastructure without third-party exposure
Hugging Face Integration – Drop in open-source or domain-specific models easily
Flexible Switching – Swap models per query to optimize cost vs quality balance
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
Rich APIs – REST APIs, Python/JS SDKs, CLI for ingestion and querying
Modular Design – Index first, query later workflow fits dev processes
Self-Host Option – On-prem NucliaDB for complete infrastructure control
Open-Source – NucliaDB GitHub (710+ stars, AGPLv3) with transparent code
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
✅ 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
Quality-Based RAG – Focused on trusted, source-linked answers with citation attribution
Hybrid Search – Tune semantic vs keyword weighting for domain precision
Entity Enrichment – Summaries and entity extraction improve Q&A quality
Large-Scale Ready – Scales to large datasets; speed depends on LLM choice
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
Retrieval Tuning – Adjust chunk sizes, weighting, metadata filters for precision
Per-Query Prompts – Custom prompts per query for dynamic persona/style
Knowledge Boxes – Multiple isolated data spaces with tags for scope
Structured Output – Return JSON or fine-tune private models for specific needs
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 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
Consumption Model – Base license plus usage costs (indexing, queries, LLM calls)
Granular Control – Light usage stays cheap, scales automatically for heavy use
Free Trial – Hands-on evaluation before committing to paid plans
On-Prem Economics – Self-hosting provides cost control with existing infrastructure
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
✅ 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
GDPR Compliant – EU-based with strict data protection; no cross-customer training
Data Isolation – Knowledge Boxes with disk encryption and tenant separation
On-Prem Deployment – Self-host NucliaDB for complete data residency and control
Enterprise SSO – Role-based access with regional data centers (EU available)
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
Usage Dashboard – Track token spend for indexing and query operations
Activity Logs – Audit trails for ingestion and query events
API/CLI Access – Send logs to Splunk, Elastic, or monitoring tools
⚠️ Custom Analytics – Conversation analytics require custom front-end implementation
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
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 – Comprehensive docs, API reference, code samples, quick-start guides
Community – Slack community, Stack Overflow, developer forums for peer support
LangChain Integration – Official integration with popular AI frameworks
Enterprise Support – Dedicated assistance for on-prem/hybrid installations
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
✅ Beyond Search – AI search, Q&A, classification, multi-language multimodal indexing
✅ Enterprise RAG – Replace legacy search across text, audio, video content
✅ Open-Source Core – Reduces lock-in, enables extension and self-hosting
⚠️ DevOps Effort – Advanced setups need ML/DevOps resources for deployment
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
No-Code Dashboard – Create Knowledge Box → upload data → tune → embed widget
Defaults Work – Out-of-box settings are production-ready for basic use
⚠️ Technical Sliders – Advanced retrieval/prompt options may confuse non-technical users
⚠️ Custom UI Needed – Full branding requires building on API front-end
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
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 – API-first RAG platform with multimodal indexing and model-agnostic architecture
Target Customers – Dev teams needing text/audio/video search with on-prem/hybrid deployment options
Key Competitors – Deepset/Haystack, Vectara.ai, Azure AI Search, custom RAG implementations
Competitive Advantages – Multimodal OCR/speech-to-text, 100% private GenAI, open-source NucliaDB portability
Pricing Advantage – Consumption model controls costs; light usage cheap, enterprise-ready scalability
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
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
Model-Agnostic – OpenAI, Azure OpenAI, PaLM 2, Cohere, Anthropic, Hugging Face
Private GenAI – 100% Nuclia-hosted infrastructure option for data isolation
Flexible Switching – Swap models per query without architectural changes
Local Models – Self-hosted models supported (requires extra setup)
✅ Developer Freedom – Choose optimal LLM per Knowledge Box or query
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
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)
Quality-Based RAG – Trusted answers with comprehensive source citations for transparency
Hybrid Search – Combine semantic vectors with keyword matching for precision
Customizable Chunking – Adjust chunk sizes, weighting, segmentation for context windows
Knowledge Graph – Auto entity/relationship extraction enriches corpus for Q&A
Multimodal Indexing – OCR for images, speech-to-text creates comprehensive knowledge base
✅ Open Architecture – NucliaDB open-source provides transparency vs black-box competitors
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
✅ 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 Search – Modernize legacy search with AI across text/audio/video
Customer Support – Internal Q&A for support teams from product documentation
Multimodal Discovery – Unified search across PDFs, videos, audio, presentations
Regulatory Compliance – GDPR-compliant retrieval with data residency guarantees
Developer RAG Backend – API-first infrastructure for custom AI applications
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
✅ 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
GDPR Compliant – EU-based; customer data never used for model training
Data Isolation – Knowledge Boxes with disk encryption; zero cross-training
On-Prem Options – Self-host NucliaDB and local LLMs for data sovereignty
Enterprise SSO – Identity provider integration with role-based access control
Regional Centers – EU and other regions for local data residency laws
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 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)
Pricing Model – License plus consumption (base plus indexing/queries/LLM calls)
Free Trial – Available for hands-on evaluation before commitment
Granular Control – Pay for usage; light stays cheap, scales automatically
Transparent Billing – Storage, indexing, queries, LLM usage clearly itemized
Best Value For – Organizations optimizing costs through usage control vs seat-based pricing
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
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
Comprehensive Docs – docs.nuclia.dev with guides, API reference, code examples
Active Community – Slack community, Stack Overflow, developer forums
Open-Source – NucliaDB GitHub (710+ stars, AGPLv3) with transparent code
LangChain Integration – Official integration for AI framework ecosystem compatibility
Enterprise Support – Dedicated support for on-prem/hybrid installations
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
⚠️ API-First Complexity – Developer-focused; not plug-and-play for non-technical teams
⚠️ No Turnkey UI – Advanced branding requires building custom front-end
⚠️ No Native Bots – Slack/Teams bots require custom API development
⚠️ Language Limits – Cannot index pictogram-based languages (Japanese, Chinese characters)
⚠️ Learning Curve – Advanced RAG parameters feel technical for beginners
✅ Best For Developers – Capable platform for technical teams with resources
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
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
Agentic RAG – Autonomous decision-making for retrieval strategies vs manual configuration
CrewAI Integration – Official integration for orchestrating autonomous AI agent teams
AI Search Copilot – Customizable LLM agents for employee support and customer service
Ingestion Agents (Beta) – Auto-labeling, summarization, graph extraction, Q&A generation, content safety
⚠️ Missing Features – No lead capture, human handoff, proactive alerting workflows
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
Platform Type – TRUE RAG-AS-A-SERVICE with managed infrastructure and API-first design
Agentic Focus – Progress Agentic RAG with autonomous decision-making capabilities
Fully Managed – Hosted NucliaDB with auto-scaling, chunking, embedding, no infrastructure management
Model-Agnostic Service – Switch LLM providers without architectural changes (OpenAI, Azure, PaLM, Anthropic)
Agent-Ready – Only RAG platform designed for AI agents (CrewAI, LangChain compatible)
Hybrid Deployment – Cloud-managed with on-prem NucliaDB for data sovereignty
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
Join the Discussion
Loading comments...