Data Ingestion & Knowledge Sources
✅ Multi-Source Support – Databases, blob storage, PDF, DOCX, HTML via Azure pipelines ✅ Auto-Sync – Azure services keep indexed information current automatically
File Support – PDF, Word, text, JSON, YAML, CSV; full website crawlingCloud Integrations – Native Google Drive, Notion, Confluence, Guru (⚠️ no Dropbox)Chat2KB (Growth/Enterprise) – Auto-extracts Q&A from conversations with conflict resolutionReal-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 archivesWebsite crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public contentMultimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-inCloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-syncKnowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectorsMassive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
✅ Azure Ecosystem – SDKs, REST APIs, Logic Apps, PowerApps (connectors )✅ Native Channels – Web widgets, Slack, Microsoft Teams integration✅ Low-Code Options – Custom workflows via low-code tools or full API
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 positioningCMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce toolsMCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, WindsurfOpenAI SDK compatible – Drop-in replacement for OpenAI API endpointsLiveChat + Slack – Native chat widgets with human handoff capabilities
✅ RAG-Powered Answers – Semantic search + LLM generation for grounded responses✅ Hybrid Search – Keyword + semantic with optional ranking for relevance✅ Multilingual – Conversation history management from Azure portal
Sophie AI Agent – 5-layer execution: Safety, LLM Supervisor, Skills, Feedback, Traceability100+ Languages – Locale-based routing with real-time translationHuman 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
✅ Full UI Control – Custom CSS, logos, welcome messages for branding✅ White-Labeling – Domain restrictions via Azure configuration✅ Search Behavior – Custom analyzers, synonym maps (config options )
GUI Widget Editor – Logo, colors, title, messages, FAQs (⚠️ CSS not documented)White-Labeling – Custom domain (CNAME), full logo replacement, agent identity renaming100+ Tone Options – Friendly, Professional, TaxAssistant, Finance advisor, Casual, politeDynamic Routing – User context (VIP, first-time, veteran) for metadata-driven personalization
Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost2-minute setup – No-code wizard with drag-and-drop interfacePersona customization – Control AI personality, tone, response style via pre-promptsVisual theme editor – Real-time preview of branding changesDomain allowlisting – Restrict embedding to approved sites only
✅ Azure OpenAI – GPT-4, GPT-3.5 via native Azure integration✅ Prompt Control – Customizable templates and system prompts✅ Model Flexibility – Azure-hosted or external LLMs via API
Starter (Free) – GPT-4o mini onlyGrowth – GPT-4o mini + ClaudeEnterprise – GPT-4o + Multi-layer automatic routing per query partRAGless 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 availableClaude 4.5 – Anthropic's Opus available for EnterpriseAuto model routing – Balances cost/performance automaticallyZero API key management – All models managed behind the scenes
Developer Experience ( A P I & S D Ks)
✅ Multi-Language SDKs – C#, Python, Java, JavaScript (Azure SDKs )✅ Documentation – Tutorials, sample code for index management and queries✅ Azure AD Auth – Secure API access via Azure portal
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 limitsParamount – Open-source tool (github.com/ask-fini/paramount) for accuracy measurement
REST API – Full-featured for agents, projects, data ingestion, chat queriesPython SDK – Open-source customgpt-client with full API coveragePostman collections – Pre-built requests for rapid prototypingWebhooks – Real-time event notifications for conversations and leadsOpenAI compatible – Use existing OpenAI SDK code with minimal changes
✅ Enterprise Scale – Millisecond responses under heavy load (Microsoft Mechanics )✅ High Relevance – Hybrid search, semantic ranking, configurable scoring✅ Global Infrastructure – Low latency, high throughput worldwide
✅ 97-98% Accuracy Claim – Column Tax (94%, 98% resolved), Qogita (90%, 121% SLA)
6 Hallucination Prevention – RAGless, LLM filtering, confidence gating, guardrails, skill modulesAccuracy 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 cachingBenchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants APIAnti-hallucination tech – Responses grounded only in your provided contentOpenGraph citations – Rich visual cards with titles, descriptions, images99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Customization & Flexibility ( Behavior & Knowledge)
✅ Index Control – Custom analyzers, tokenizers, synonym maps for domain-specific search✅ Cognitive Skills – Plugin custom skills during indexing for specialized processing✅ LLM Tuning – Prompt customization for style and tone control
Guidelines System – Tone, phrases, forbidden terms, formatting, response lengthBot Management – Starter 2 bots → Growth/Enterprise unlimitedReal-time Learning – Chat2KB auto-learning (MECE), Flows for specialized workflowsDynamic Personalization – User context from backend, segment-based routing
Live content updates – Add/remove content with automatic re-indexingSystem prompts – Shape agent behavior and voice through instructionsMulti-agent support – Different bots for different teamsSmart defaults – No ML expertise required for custom behavior
✅ Pay-As-You-Go – Tier, partition, replica based (Pricing Guide )✅ Free Tier – Development/small projects; production tiers available✅ On-Demand Scaling – Add replicas/partitions; enterprise discounts available
⚠️ Pricing NOT Publicly Disclosed – Requires sales contact
Starter (Free) – GPT-4o mini, ~50 questions/month, ~50 docs, 2 botsGrowth (est. $999/mo) – GPT-4o mini/Claude, 1K docs, unlimited users, SOC 2, RBAC, Chat2KBEnterprise (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 botsPremium: $449/mo – 300M words, 100 botsAuto-scaling – Managed cloud scales with demandFlat rates – No per-query charges
✅ Enterprise Compliance – SOC, ISO, GDPR, HIPAA, FedRAMP (Azure Compliance )✅ Data Encryption – Transit/rest, customer-managed keys, Private Link isolation✅ Azure AD RBAC – Granular role-based access control and authentication
✅ 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 cardsEncryption – AES-256 at rest, TLS 1.3 in transit; "no training" policyAccess Controls – RBAC (Growth/Enterprise), SSO, audit logging, EU/US data residency
SOC 2 Type II + GDPR – Third-party audited complianceEncryption – 256-bit AES at rest, SSL/TLS in transitAccess controls – RBAC, 2FA, SSO, domain allowlistingData isolation – Never trains on your data
Observability & Monitoring
✅ Portal Dashboard – Track indexes, query performance, usage at glance✅ Azure Monitor – Custom alerts, dashboards (Azure Monitor )✅ Export Logs – API-based log and analytics export for analysis
Fini 2.0 (Jan 2025) – AI resolution, quality, confidence, CSAT, agent productivity, drop-off analysisChat History (Feb 2025) – Centralized view with filtering; CSV/JSON export for Looker/TableauAI 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 timesCustomer Intelligence – User behavior patterns, popular queries, knowledge gapsConversation analytics – Full transcripts, resolution rates, common questionsExport capabilities – API export to BI tools and data warehouses
✅ Microsoft Support – Docs, Microsoft Learn modules, active community forums✅ Enterprise SLAs – Dedicated channels for mission-critical deployments✅ Developer Community – Large Azure ecosystem sharing best practices
Founding Team – Ex-Uber engineers; CEO led 4M+ interactions/month at UberBacked By – Y Combinator S22 ($125K), Matrix Partners, angels from Uber/Intercom/SoftbankCustomers – HackerRank, Qogita, Column Tax, Bitdefender, Duolingo, Meesho, TrainingPeaksImplementation – 60-day program; Enterprise gets dedicated AI engineers, 24/7 Slack
Comprehensive docs – Tutorials, cookbooks, API referencesEmail + in-app support – Under 24hr response timePremium support – Dedicated account managers for Premium/EnterpriseOpen-source SDK – Python SDK, Postman, GitHub examples5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
Additional Considerations
✅ Deep Integration – End-to-end solutions within Azure platform✅ Enterprise-Grade – Fine-grained tuning with proven reliability⚠️ Azure-First – Best for organizations already invested in Azure ecosystem
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 DIYAlways current – Auto-updates to latest GPT modelsProven scale – 6,000+ organizations, millions of queriesMulti-LLM – OpenAI + Claude reduces vendor lock-in
No- Code Interface & Usability
✅ Azure Portal – Create indexes, tweak analyzers, monitor performance intuitively✅ Low-Code Tools – Logic Apps, PowerApps for non-developers⚠️ Learning Curve – Advanced setups require technical expertise vs turnkey solutions
✅ 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 ExtensionAdmin 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 industryWizard interface – Step-by-step with visual previewsDrag-and-drop – Upload files, paste URLs, connect cloud storageIn-browser testing – Test before deploying to productionZero learning curve – Productive on day one
Market Position – Enterprise AI platform with production-ready RAG at global scaleTarget Customers – Azure-invested orgs needing SOC/ISO/GDPR/HIPAA/FedRAMP compliance, 99.999% SLAsKey Competitors – AWS Bedrock, Google Vertex AI, OpenAI Enterprise, Coveo, VectaraCompetitive Advantages – Azure ecosystem integration, hybrid search, native OpenAI, global infrastructureBest Fit – Organizations using Azure/Office 365 requiring enterprise compliance and regional residency
Market Position – Agentic AI for customer support; Sophie's 5-layer + RAGless claiming 97-98% accuracyKey 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 pricingvs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% fastervs Botsonic/Chatbase – More file formats, source citations, no hidden costsvs LangChain – Production-ready in 2 min vs weeks of development
✅ Azure OpenAI – GPT-4, GPT-4o, GPT-3.5 Turbo native integration✅ Anthropic Claude – Available via Microsoft Foundry (late 2024/early 2025)✅ Multi-Model Platform – Only cloud with both Claude and GPT models✅ Model Flexibility – Azure-hosted or external LLMs via API✅ Prompt Templates – Customizable prompts for specific use cases✅ Enterprise Integration – Models integrated with Azure security/compliance/governance
Starter (Free) – GPT-4o mini only (~50 questions/month)Growth – GPT-4o mini + Claude, 1K docs, unlimited usersEnterprise – 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 seriesAnthropic – Claude 4.5 Opus/Sonnet (Enterprise)Auto-routing – Intelligent model selection for cost/performanceManaged – No API keys or fine-tuning required
✅ Agentic Retrieval (2024) – LLM-powered query decomposition into parallel subqueries for chat✅ Hybrid Search – Vector + keyword + semantic with relevance tuning✅ Vector Store – Long-term memory, knowledge base for RAG apps✅ Framework Support – Azure Semantic Kernel, LangChain for RAG workflows✅ Import Wizard – Automates parsing, chunking, enrichment, embedding pipeline✅ Query Enhancement – Rewriting, synonyms, paraphrasing, spelling correction
RAGless Architecture – Query-writing AI; "no embeddings, no hallucinations" with precise attribution6-Mechanism Prevention – LLM filtering, confidence gating, guardrails, deterministic skill modulesReal-time Knowledge – Content used immediately after ingestion without retrainingChat2KB (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 benchmarksAnti-hallucination – Responses grounded in your content onlyAutomatic citations – Clickable source links in every responseSub-second latency – Optimized vector search and cachingScale to 300M words – No performance degradation at scale
✅ Enterprise Search – 40% productivity boost (9 hours/week saved per employee)✅ Customer Service – Self-service chatbots, real-time agent support, coaching, summarization✅ RAG Applications – 50%+ Fortune 500 companies (OpenAI, Otto, KPMG, PETRONAS)✅ Knowledge Management – AI-driven insights for organizational knowledge bases✅ Multi-Industry – Retail, financial, healthcare, manufacturing, government sectors
✅ 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 citationsInternal knowledge – HR policies, onboarding, technical docsSales enablement – Product info, lead qualification, educationDocumentation – Help centers, FAQs with auto-crawlingE-commerce – Product recommendations, order assistance
✅ Certifications – SOC, ISO, GDPR, HIPAA, FedRAMP (Azure Compliance )✅ Encryption – Transit (SSL/TLS) and rest with customer-managed keys✅ Private Link – Enhanced isolation for security✅ Azure AD RBAC – Granular access control with secure authentication✅ 99.999% SLA – Enterprise reliability with regional data residency✅ Security Monitoring – Continuous oversight via Azure Monitor
✅ 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 compliance256-bit AES encryption – Data at rest; SSL/TLS in transitSSO + 2FA + RBAC – Enterprise access controls with role-based permissionsData isolation – Never trains on customer dataDomain allowlisting – Restrict chatbot to approved domains
✅ Free Tier – 50 MB storage for dev/small projects✅ Basic Tier – Entry production with fixed storage (no partition scaling)✅ Standard Tiers – Scalable throughput via partitions and replicas✅ Storage Optimized – High-volume data at reduced $/TB✅ 2024 Capacity Boost – 5-6x storage increase free (Pricing )✅ Tier Flexibility (2024) – Change tiers without downtime; enterprise discounts available
⚠️ Pricing NOT Publicly Disclosed – Requires sales contact
Starter (Free) – GPT-4o mini, ~50 questions/month, ~50 docs, 2 botsGrowth (est. $999/mo) – GPT-4o mini/Claude, 1K docs, unlimited users, SOC 2, RBAC, Chat2KBEnterprise (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/botPremium: $449/mo – 100 chatbots, 300M words, 20K items/botEnterprise: Custom – SSO, dedicated support, custom SLAs7-day free trial – Full Standard access, no chargesFlat-rate pricing – No per-query charges, no hidden costs
✅ Enterprise Support – Microsoft infrastructure with dedicated mission-critical channels✅ SLA Plans – Guaranteed response times and uptime commitments✅ Microsoft Learn – Docs, tutorials, modules (docs )✅ Community Forums – Active Azure developers sharing best practices✅ Portal Dashboard – Integrated monitoring for indexes, queries, analytics✅ Official SDKs – REST APIs, C#, Python, Java, JavaScript (SDKs )
Founding Team – Ex-Uber engineers; CEO led 4M+ interactions/month; Y Combinator S22, Matrix PartnersCustomers – HackerRank, Qogita, Column Tax, Bitdefender, Duolingo, Meesho60-Day Implementation – Discovery → Deployment → Optimization → Production with dedicated managersEnterprise 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 referencesSupport channels – Email, in-app chat, dedicated managers (Premium+)Open-source – Python SDK, Postman, GitHub examplesCommunity – User community + 5,000 Zapier integrations
Limitations & Considerations
⚠️ Free Tier Limits – 50 MB storage, shared resources, no partitions/replicas⚠️ No Pause/Stop – Pay continuous fixed rate; resources allocated when created⚠️ Vector Limitations – Index sizes restricted by tier memory; regional infrastructure gaps⚠️ Learning Curve – Advanced customizations require trial-and-error, technical expertise⚠️ Cost Structure – Restrictive for small teams; costs scale quickly with usage⚠️ Azure Lock-In – Less competitive for non-Azure customers; best for Azure ecosystem
⚠️ 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-ownModel selection – OpenAI + Anthropic only; no Cohere, AI21, open-sourceReal-time data – Requires re-indexing; not ideal for live inventory/pricesEnterprise features – Custom SSO only on Enterprise plan
✅ Agentic Retrieval (2024) – Multi-query pipeline for complex chat questions (docs )✅ Query Decomposition – LLM breaks complex queries into focused subqueries✅ Parallel Execution – Subqueries run simultaneously with semantic reranking✅ 40% Performance Boost – Improved answer relevance vs traditional RAG✅ Knowledge Bases – Multi-source grounding without siloed pipelines (Azure AI Foundry)✅ Chat History – Contextually aware responses from conversation history
Sophie AI Agent – Fully autonomous resolving 80% of tickets end-to-end without human intervention5-Layer Execution – Safety Guardrails (40+ filters, PII), LLM Supervisor, Skills, Feedback, TraceabilityMulti-Layer Architecture (Enterprise) – Automatic routing to best LLM per query part; specialized agentsAction-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 tasksMulti-Agent Systems – Specialized agents for support, sales, knowledgeMemory & Context – Persistent conversation history across sessionsTool Integration – Webhooks + 5,000 Zapier apps for automationContinuous Learning – Auto re-indexing without manual retraining
R A G-as-a- Service Assessment
✅ TRUE RAG-AS-A-SERVICE – End-to-end enterprise RAG with native Azure integration✅ Performance Metrics – Prompt variations, retrieval accuracy, response evaluation✅ AI-Assisted Metrics – 3 metrics requiring no ground truth for evaluation✅ Hybrid Optimization – Vector + keyword + semantic with relevance tuning✅ Import Wizard – Automates parsing, chunking, enrichment, embedding pipeline✅ 40% Accuracy Boost – vs standalone LLMs (study )
Platform Type – AGENTIC AI CUSTOMER SUPPORT with RAGless architecture, NOT traditional RAG-as-a-ServiceArchitectural Approach – Query-writing AI; "no embeddings, no hallucinations" with deterministic resultsSophie'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 infrastructureAPI-first – REST API, Python SDK, OpenAI compatibility, MCP ServerNo-code option – 2-minute wizard deployment for non-developersHybrid positioning – Serves both dev teams (APIs) and business users (no-code)Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
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