Data Ingestion & Knowledge Sources
✅ Auto-Indexing – Points at files, indexes unstructured data automatically without manual setup✅ Auto-Sync – Connected repositories sync automatically, document changes reflected almost instantlyFile Formats – Supports PDF, DOCX, PPT, TXT and common enterprise formats⚠️ Limited Scope – No website crawling or YouTube ingestion, narrower than CustomGPTEnterprise Scale – Handles large corporate data sets, exact limits not published
Knowledge Base (KB) – RAG-powered retrieval: PDF, Word, CSV, plain text uploadsWebsite crawling – Sitemap ingestion, auto-sync Google Drive, Notion, Confluence, Zendesk (Pro+)✅ No explicit document limits, scales by storage tier
⚠️ Accuracy concerns – Reviews cite KB "often inaccurate" and "too general"
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
⚠️ Standalone Only – Own chat/search interface, not a "deploy everywhere" platform⚠️ No External Channels – No Slack bot, Zapier connector, or public APIWeb/Desktop UI – Users interact through Pyx's interface, minimal third-party chat synergyCustom Integration – Deeper integrations require custom dev work or future updates
15+ native integrations – Zendesk, Salesforce, HubSpot, Intercom, Slack, Teams, FreshdeskMessaging & voice – WhatsApp, SMS, Alexa, Google Assistant, custom telephonyE-commerce – Shopify, Stripe, Zapier, Make.com (5000+ apps), Calendly✅ Custom integrations via unlimited HTTP API blocks, webhooks, iOS/Android SDKs
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
Conversational Search – Context-aware Q&A over enterprise documents with follow-up questions⚠️ Internal Focus – Designed for knowledge management, no lead capture or human handoffMulti-Language – Likely supports multiple languages, though not a headline feature⚠️ Basic Analytics – Stores chat history, fewer business insights than customer-facing tools
Visual workflow canvas – 50+ drag-and-drop blocks (text, cards, buttons, forms, APIs)Multi-turn conversations – Context preservation across sessions with full transcript loggingAgent handoff – Multi-agent routing, human handoff with context transfer100+ languages – Intent recognition, entity extraction, slot filling via NLU✅ Analytics dashboard: sessions, users, completion rates, drop-offs, A/B testing
✅ #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
⚠️ Minimal Branding – Logo/color tweaks only, designed as internal tool not white-label⚠️ No Embedding – Standalone interface, no domain-embed or widget options availablePyx UI Only – Look stays "Pyx AI" by design, public branding not supportedSecurity Focus – Emphasis on user management and access controls over theming
Visual widget editor – Custom colors, logos, fonts, button styles, bubble positioningWhite-labeling – Remove branding (Team+), custom domains (Pro+), CSS injection✅ Dynamic personalization via user attributes, multi-channel customization, configurable tone/prompts
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
⚠️ Undisclosed Model – Likely GPT-3.5/GPT-4 but exact model not publicly documented⚠️ No Model Selection – Cannot switch LLMs or configure speed vs accuracy tradeoffs⚠️ Single Configuration – Every query uses same model, no toggles or fine-tuningClosed Architecture – Model details, context window, capabilities hidden from users intentionally
Multi-model support – GPT-4, GPT-3.5, Claude, Gemini per agent/step configurationFunction calling – GPT-4/Claude support with custom model API integrationPrompt controls – System prompts, few-shot examples, temperature/token controls per request✅ Cost optimization via model routing, RAG auto-augments LLM prompts
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)
⚠️ No API – No open API or SDKs, everything through Pyx interface⚠️ No Embedding – Cannot integrate into other apps or call programmaticallyClosed Ecosystem – No GitHub examples, community plug-ins, or extensibility optionsTurnkey Only – Great for ready-made tool, limits deep customization or extensions
REST API & SDKs – JavaScript/TypeScript, Python, GraphQL API for queriesAPI capabilities – Send messages, manage state, retrieve transcripts, update KBCustom code blocks – JavaScript execution within workflows, rate limits 10K/hour (Pro)✅ Comprehensive docs, 15K+ community (Discord/Slack), Postman/OpenAPI specs
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
Real-Time Answers – Serves accurate responses from internal documents, sparse public benchmarksAuto-Sync Freshness – Connected repositories keep retrieval context always current automatically⚠️ Limited Transparency – No anti-hallucination metrics or advanced re-ranking details publishedCompetitive RAG – Likely comparable to standard GPT-based systems on relevance control
Response times – 200-500ms simple, 1-2s complex; 99.9% SLA (Enterprise)Accuracy claims – GoStudent case: 98% accuracy on 100K conversationsHallucination prevention – RAG grounding, confidence thresholds, source citations⚠️ KB accuracy concerns – Reviews cite "often inaccurate", manual preprocessing required
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)
✅ Auto-Sync Updates – Knowledge base updated without manual uploads or scheduling⚠️ No Persona Controls – AI voice stays neutral, no tone or behavior customization✅ Access Controls – Strong role-based permissions, admins set document visibility per userClosed Environment – Great for content updates, limited for AI behavior or deployment
Real-time updates – Workflow changes deploy instantly, no rebuild requiredVersion control – Git-style versioning, rollback, Dev/Staging/Prod environments (Team+)Component reusability – Save sections, 100+ templates, dynamic KB syncing✅ Task-specific flows, multi-language routing, user segmentation by custom attributes
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
Seat-Based Pricing – ~$30 per user per month, predictable monthly costs✅ Cost-Effective Small Teams – Affordable for teams under 50 users⚠️ Large Team Costs – 100 users = $3,000/month, can scale expensivelyUnlimited Content – Document/token limits not published, gated only by user seatsFree Trial + Enterprise – Hands-on trial available, custom pricing for large deployments
Sandbox (Free) – 2 agents, unlimited interactions, 3 collaboratorsPro: $50/month – 10 agents, unlimited interactions, 10 collaboratorsTeam: $625/month – 50 agents, 25 collaborators, API, version control, RBACEnterprise: Custom – Unlimited agents, SSO, SOC 2, SLA, dedicated support⚠️ Pricing complexity – Per-seat ($15-25) + per-agent ($20-50) charges escalate quickly
Standard: $99/mo – 60M words, 10 botsPremium: $449/mo – 300M words, 100 botsAuto-scaling – Managed cloud scales with demandFlat rates – No per-query charges
✅ GDPR Compliance – Germany-based, implicit EU data protection and regional sovereignty✅ Enterprise Privacy – Data isolated per customer, encrypted in transit and rest✅ No Model Training – Customer data not used for external LLM training✅ Role-Based Access – Built-in controls, admins set document visibility per role⚠️ Limited Certifications – On-prem or SOC 2/ISO 27001/HIPAA not publicly documented
SOC 2 Type II certified – GDPR compliant, HIPAA ready (Enterprise)Encryption – AES-256 at rest, TLS 1.3 in transit, zero-retention policySSO/SAML – Okta/Azure AD, RBAC (Team+), audit logs (Enterprise)✅ On-premise deployment, EU data residency, DPA, IP whitelisting, key rotation
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
Basic Stats – User activity, query counts, top-referenced documents for admins⚠️ No Deep Analytics – No conversation analytics dashboards or real-time loggingAdoption Tracking – Useful for usage monitoring, lighter insights than full suitesSet-and-Forget – Minimal monitoring overhead, contact support for issues
Analytics dashboard – Sessions, users, messages, completion rates, drop-off visualizationConversation funnels – Journey mapping with full transcript viewerError tracking – Monitor API failures, timeouts, unhandled intents real-time✅ User feedback (thumbs/CSAT/NPS), CSV/JSON export, Datadog/New Relic webhooks
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
✅ Direct Support – Email, phone, chat with hands-on onboarding approach⚠️ No Open Community – Closed solution, no plug-ins or user-built extensionsInternal Roadmap – Product updates from Pyx only, no community marketplaceQuick Setup Focus – Emphasizes minimal admin overhead for internal knowledge search
Founded 2017 – $28M funding (Felicis, OpenAI Startup Fund, Tiger Global)200K+ teams – Mercedes-Benz, JP Morgan, Shopify; 15K+ developer communitySupport tiers – Community (Free), priority email (Pro), chat (Team), 24/7 CSM (Enterprise)✅ 100+ templates, Academy certifications, comprehensive docs, partner program
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
✅ No-Fuss Internal Search – Employees use without coding, simple deployment for teams⚠️ Not Public-Facing – Not ideal for customer chatbots or developer-heavy customizationSiloed Environment – Single AI search environment, not broad extensible platformSimpler Scope – Less flexible than CustomGPT, but faster setup for internal use
Workflow-first platform – Excels complex workflows, KB accuracy lags RAG specialistsBest use case – Multi-step API orchestration, team collaboration; NOT document Q&A⚠️ Steep learning curve – Weeks onboarding despite visual interface
⚠️ Visual canvas overwhelm – Complex agents (100+ blocks) difficult to manage
⚠️ Pricing escalation – Per-seat/agent fees escalate beyond base costs quickly
⚠️ SOC 2 Enterprise-only – No SLA guarantees on lower tiers
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
✅ Straightforward UI – Users log in, ask questions, get answers without coding✅ No-Code Admin – Admins connect data sources, Pyx indexes automaticallyMinimal Customization – UI stays consistent and uncluttered by designInternal Q&A Hub – Perfect for employee use, not external embedding or branding
Visual canvas builder – Drag-and-drop 50+ blocks, 80% no-code coverageCollaboration – 10+ simultaneous editors, real-time cursor tracking, commentsTesting tools – Built-in chat simulator, one-click channel deployment✅ Ease of use 8.7/10 (G2), 100+ templates, Academy certifications
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 – Turnkey internal knowledge search (Germany), not embeddable chatbot platformTarget Customers – Small-mid European teams needing GDPR compliance and simple deploymentKey Competitors – Glean, Guru, Notion AI; not customer-facing chatbots like CustomGPT✅ Advantages – Simple scope, auto-sync, GDPR compliance, ~$30/user/month predictable pricing⚠️ Use Case Fit – Perfect for <50 user teams, not API integrations or public chatbots
Market position – Workflow-first platform (founded 2017, $28M funding) for orchestrationTarget customers – Enterprise teams (200K+ users: Mercedes-Benz, JP Morgan) needing multi-agent workflowsKey competitors – Botpress, Rasa, Microsoft Power Virtual Agents, NOT RAG toolsCompetitive advantages – 50+ blocks, 10+ real-time collab, 15+ integrations, SOC 2/GDPR/HIPAA✅ Free Sandbox, Pro $50/month reasonable for startups, best for workflows
⚠️ Use case fit – Ideal complex workflows, NOT simple document Q&A
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
⚠️ Undisclosed LLM – Likely GPT-3.5/GPT-4 but model details not publicly documented⚠️ No Model Selection – Cannot switch LLMs or choose speed vs accuracy configurations⚠️ Opaque Architecture – Context window size and capabilities not exposed to usersSimplicity Focus – Hides technical complexity, users ask questions and get answers⚠️ No Fine-Tuning – Cannot customize model on domain data for specialized responses
Multi-model support – GPT-4, GPT-3.5, Claude, Gemini per agent/step selectionFunction calling – GPT-4/Claude real-time action triggering during conversationsCustom model integration – Proprietary LLM API support, temperature/token controls (0.0-2.0)✅ Cost optimization routing: GPT-3.5 simple, GPT-4 complex queries
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
Conversational RAG – Context-aware search over enterprise documents with follow-up support✅ Auto-Sync – Repositories sync automatically, changes reflected almost instantlyDocument Formats – PDF, DOCX, PPT, TXT and common enterprise formats supported⚠️ No Advanced Controls – Chunking, embedding models, similarity thresholds not exposed⚠️ Limited Transparency – No citation metrics or anti-hallucination details publishedClosed System – Optimized for internal Q&A, limited visibility into retrieval architecture
Knowledge Base – RAG vector search, semantic matching (PDF, Word, CSV, text)Website crawling – Sitemap ingestion, auto-sync Google Drive, Notion, Confluence, ZendeskMulti-turn context – Conversation preservation across sessions for coherent dialogues⚠️ Accuracy concerns – Reviews cite KB "often inaccurate", "too general"
⚠️ No RAG controls – Cannot configure chunking, embeddings, similarity thresholds
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
✅ Internal Knowledge Search – Employees asking questions about company documents and policies✅ Team Onboarding – New hires finding information without bothering colleagues✅ Policy Lookup – HR, compliance, operational procedure retrieval for staff✅ Small European Teams – GDPR-compliant internal search with EU data residency⚠️ NOT SUITABLE FOR – Public chatbots, customer support, API integrations, multi-channel deployment
Complex workflows – API orchestration, multi-agent coordination, sophisticated logicTeam collaboration – 10+ simultaneous editors with real-time tracking/commentsVoice assistants – Alexa, Google Assistant, custom telephony conversational AICustomer service – 15+ integrations (Zendesk, Salesforce, HubSpot, Intercom) automationE-commerce – Shopify orders, product recommendations, lead gen with Calendly/CRM⚠️ NOT ideal for – Simple document Q&A (KB accuracy issues)
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
✅ GDPR Compliance – Germany-based with implicit EU data protection compliance✅ German Data Residency – EU storage location for regional data sovereignty requirements✅ Enterprise Privacy – Customer data isolated, encrypted in transit and at rest✅ Role-Based Access – Built-in controls, admins set document visibility per user⚠️ Limited Certifications – SOC 2, ISO 27001, HIPAA not publicly documented
SOC 2 Type II – GDPR compliant, HIPAA ready (Enterprise), EU data residencyEncryption – AES-256 at rest, TLS 1.3 in transit, zero-retentionSSO/SAML – Okta, Azure AD, OneLogin; RBAC (Team+), audit logs (Enterprise)✅ On-premise deployment for data sovereignty, DPA available
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
Seat-Based Pricing – ~$30 per user per month✅ Small Team Value – Affordable for teams under 50 users, predictable costs⚠️ Scalability Cost – 100 users = $3,000/month, expensive for large organizationsUnlimited Content – No published document limits, gated only by user seatsFree Trial + Enterprise – Evaluation available, custom pricing for volume discounts
Sandbox (Free) – 2 agents, unlimited interactions, 3 collaboratorsPro: $50/month – 10 agents, unlimited interactions, 10 collaborators, GPT-4/ClaudeTeam: $625/month – 50 agents, 25 collaborators, API, version control, RBACEnterprise: Custom – Unlimited agents, SSO, SOC 2, HIPAA, SLA, on-premise⚠️ Per-seat charges – Additional editors $50/month (Pro), $15-25/month (Team)
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
✅ Direct Support – Email, phone, chat with hands-on onboarding approach✅ Quick Deployment – Minimal admin overhead, connect sources and start asking questions⚠️ No Open Community – Closed solution, no plug-ins or user extensions⚠️ No Developer Docs – No API documentation or programmatic access guidesInternal Roadmap – Updates from Pyx only, no user-contributed features
Founded 2017 – $28M funding (Felicis, OpenAI Startup Fund, Tiger Global)200K+ teams – Mercedes-Benz, JP Morgan, Shopify; 15K+ developer communitySupport tiers – Community (Free), priority email (Pro), chat (Team), 24/7 CSM (Enterprise)✅ 100+ templates, comprehensive docs, Academy certifications, partner program
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
⚠️ No Public API – Cannot embed or call programmatically, standalone UI only⚠️ No Messaging Integrations – No Slack, Teams, WhatsApp or chat platform connectors⚠️ Limited Branding – Minimal customization, not white-label solution for public deployment⚠️ No Advanced Controls – Cannot configure RAG parameters, model selection, retrieval strategies⚠️ Seat-Based Scaling – Expensive for large orgs vs usage-based pricing models✅ Best For – Small European teams (<50 users) prioritizing simplicity and GDPR over flexibility
⚠️ KB accuracy issues – Reviews cite "often inaccurate", not ideal document Q&A
⚠️ Workflow-first platform – Excels orchestration, lags specialized RAG platforms
⚠️ Steep learning curve – Weeks onboarding despite visual interface
⚠️ Pricing complexity – Per-seat/agent fees escalate beyond base costs
⚠️ Visual canvas overwhelm – Complex agents (100+ blocks) difficult to manage
⚠️ SOC 2 Enterprise-only – No SLA guarantees on Pro/Team tiers
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
⚠️ NO Agent Capabilities – No autonomous agents, tool calling, or multi-agent orchestrationConversational Search Only – Context-aware dialogue for Q&A, not agentic or autonomous behaviorBasic RAG Architecture – Standard retrieval without function calling, tool use, or workflows⚠️ No External Actions – Cannot invoke APIs, execute code, query databases, or interact externallyInternal Knowledge Focus – Employee Q&A about documents, not task automation or workflows
Agent step (2024) – Autonomous AI with tool use, decision-making, KB accessMulti-agent orchestration – Supervisor pattern connecting specialized agents for conversation aspectsHybrid architecture – Hard business logic + Agent networks for flexibilityHuman handoff – Smooth transitions with full history transfer to support/salesLead capture & CRM – Auto-create in HubSpot/Salesforce/Pipedrive, update deal stages
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
⚠️ NOT TRUE RAG-AS-A-SERVICE – Standalone internal app, not API-accessible RAG platformTurnkey Application – Self-contained Q&A tool vs developer-accessible RAG infrastructure⚠️ No API Access – No REST API, SDKs, programmatic access unlike CustomGPT/VectaraClosed Application – Web/desktop interface only, cannot build custom applications on topSaaS vs RaaS – Software-as-a-Service (standalone app) NOT Retrieval-as-a-Service (API infrastructure)Best Comparison Category – Internal search tools (Glean, Guru), not developer RAG platforms
Platform Type – WORKFLOW-FIRST with RAG capabilities, NOT pure RAG-as-a-ServiceCore Architecture – Visual canvas (50+ blocks) combining intent-based + RAG hybridRAG Integration – KB with vector search (Qdrant) + GPT-4, secondary to workflowsDeveloper Experience – REST API, JS/Python SDKs, custom code blocks, GraphQL⚠️ RAG Limitations – KB "often inaccurate", no RAG parameter configuration, manual preprocessing
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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