Data Ingestion & Knowledge Sources
✅ Enterprise Integrations – APIs connect to Snowflake, Databricks, Salesforce, data lakes
✅ High Volume Processing – Async APIs handle millions/billions of records efficiently
PII/PHI Scanning – Detects sensitive data across structured and unstructured sources
⚠️ No File Uploads – Designed for data pipelines, not document upload workflows
✅ Ready-Made Connectors – Google Drive, Gmail, Notion, Confluence auto-sync data automatically
✅ Multi-Format Upload – PDF, DOCX, TXT, Markdown, URL/sitemap crawling supported
✅ Automatic Retraining – Manual or automatic knowledge base updates keep RAG current
✅ Real-Time Indexing – Launch RAG pipelines with immediate content updates and synchronization
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
Security Middleware – API layer sanitizes data before reaching any LLM
✅ Data Pipeline Integration – Works with Snowflake, Kafka, Databricks for AI workflows
⚠️ No Chat Widgets – Backend security layer, not end-user interface platform
✅ Multi-Channel – Slack, Telegram, WhatsApp, Facebook Messenger, Microsoft Teams, chat widget
✅ Webhooks & Zapier – External actions: tickets, CRM updates, workflow automation
✅ Support Workflows – Real-time chat, easy escalation, customer-support focused design
⚠️ No Native UI – RAG API platform requires custom chat interface 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
⚠️ Not a Chatbot – Detects and masks sensitive data, doesn't generate responses
✅ Advanced NER + Regex – Spots PII/PHI while preserving context and accuracy
Content Moderation – Safety checks ensure compliance and prevent data exposure
✅ RAG Architecture – Context-aware answers from your data only, reduces hallucinations significantly
✅ Multi-Turn Context – Full session history, 95+ languages out of box
✅ Lead Capture – Automatic lead capture with human escalation on demand
✅ Fallback Handling – Human handoff and messages when bot confidence low
✅ #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
⚠️ No Visual Branding – Backend middleware, no UI to customize or brand
✅ Policy Customization – Tailor masking rules via dashboard or config files
Compliance-Focused – Configure policies to match GDPR, HIPAA, PCI DSS requirements
✅ Widget Customization – Logos, colors, welcome text, icons match brand perfectly
✅ White-Label – Remove Ragie branding entirely for clean deployment
✅ Domain Allowlisting – Lock bot to approved sites for security
⚠️ Moderate Customization – Not as extensive as fully white-labeled custom solutions
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
✅ Model-Agnostic – Works with any LLM: GPT, Claude, LLaMA, Gemini, custom models
✅ LangChain Integration – Orchestrates multi-model workflows and complex AI pipelines
✅ Context-Preserving – Maintains 99% accuracy (RARI) despite masking sensitive data
✅ OpenAI GPT-4o – Primary "accurate" mode for depth, advanced reasoning, quality
✅ GPT-4o-mini – "Fast" mode balances quality with speed for volume
✅ Claude 3.5 Sonnet – Confirmed support through RAG-as-a-Service architecture integration
✅ Mode Toggle – Switch fast/accurate modes per chatbot without code changes
⚠️ No Model Agnosticism – OpenAI/Claude only; no Llama, Mistral, custom deployment
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)
✅ REST APIs + Python SDK – Straightforward scanning, masking, and tokenizing implementation
Detailed Documentation – Step-by-step guides for data pipelines and AI apps
Real-Time + Batch – Supports ETL, CI/CD pipelines with comprehensive examples
✅ REST API – Complete coverage: bot management, data ingestion, answers, clear docs
✅ TypeScript/Python SDKs – Official SDKs for production-grade RAG development workflows
✅ No-Code Builder – Drag-and-drop dashboard for non-devs, API for heavy lifting
✅ SourceSync API – Headless RAG layer for fully customizable retrieval backends
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
✅ 99% RARI Accuracy – Context-preserving masking vs 70% vanilla masking accuracy
✅ Low Latency – Async APIs and auto-scaling maintain performance at high volume
Semantic Preservation – Masked data retains context for accurate LLM responses
✅ Hybrid Search – Re-ranking, smart partitioning, semantic + keyword retrieval
✅ Fast/Accurate Modes – Speed-optimized or depth-focused responses per configuration
✅ Citation Support – Answers grounded in sources with traceable references
✅ Entity Extraction – Structured data from unstructured documents for advanced querying
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)
✅ Custom Regex Rules – Fine-tune masking with granular entity types and patterns
✅ Role-Based Access – Privileged users see unmasked data, others see tokens
Dynamic Policies – Update masking rules without model retraining for new regulations
✅ KB Updates – Hit "retrain," recrawl, upload files anytime in dashboard
✅ Personas & Prompts – Set tone, style, quick prompts for behavior
✅ Multiple Bots – Spin up bots per team/domain under one account
✅ Functions Feature – Perform actions (tickets, CRM) directly in chat
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
Enterprise Pricing – Custom quotes based on data volume and throughput
✅ Massive Scale – Handles millions/billions of records, cloud or on-prem deployment
Volume Discounts – Free trial available, pricing optimized for large organizations
✅ Growth Plan – ~$79/month for small teams, basic multi-channel support
✅ Pro/Scale Plan – ~$259/month with expanded capacity, messages, bots, crawls
✅ Enterprise Plan – Custom pricing for large deployments, dedicated support, SLAs
✅ Smooth Scaling – Message credits scale costs with usage, no linear explosions
✅ 7-Day Free Trial – Full feature access to test everything risk-free
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
✅ Privacy-First – Masks PII/PHI before LLM access, meets GDPR/HIPAA/PCI DSS
✅ End-to-End Encryption – TLS in transit, encryption at rest with audit logs
✅ Deployment Flexibility – Public cloud, private cloud, or on-prem for data residency
✅ HTTPS/TLS & Encryption – Industry standard in-transit, data-at-rest encryption protection
✅ Workspace Isolation – Customer data stays isolated, no cross-tenant leakage
✅ SOC 2/GDPR/HIPAA – Type II certified, GDPR/HIPAA/CASA/CCPA compliant infrastructure
✅ Access Controls – Dashboard permissions, API key management, audit logging
⚠️ Cloud-Only SaaS – No on-premise/air-gapped deployment options for regulated industries
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
Comprehensive Audit Logs – Tracks every masking action and sensitive data detection
✅ SIEM Integration – Real-time compliance and performance monitoring with alerting
RARI Metrics – Reports accuracy preservation and data protection effectiveness
✅ Dashboard Metrics – Chat histories, sentiment, key performance indicators displayed
✅ Daily Digests – Email summaries keep team informed without logins
⚠️ Basic Analytics – Not as comprehensive as dedicated conversation analytics platforms
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
✅ Enterprise Support – Dedicated account managers and SLA-backed assistance
Rich Documentation – API guides, whitepapers, and secure AI pipeline best practices
Industry Partnerships – Active thought leadership and compliance standards collaboration
✅ Email Support – 24-48hr response; faster for Enterprise customers
✅ Submit Request Form – Feature requests, integration suggestions, custom needs
✅ Partner Program – Agency partnerships for consultants, resellers, ecosystem growth
✅ Live Demo – Interactive environment for evaluating platform before trial
⚠️ No Phone Support – Email-based on standard plans; phone likely Enterprise-only
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
✅ Secure RAG Focus – Protects sensitive data in third-party LLMs while preserving context
✅ On-Prem Deployment – Total isolation for highly regulated sectors
Proprietary RARI Metric – Proves aggressive masking maintains 99% model accuracy
✅ Functions Feature – Bot performs real actions (tickets, CRM) in chat
✅ Headless API – SourceSync gives devs fully customizable retrieval layer
✅ Free Developer Tier – Test production-grade RAG infrastructure without commitment
⚠️ Functions Complexity – Advanced workflows require technical setup, not fully no-code
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
⚠️ No Chatbot Builder – Technical dashboard for policy setup, not end-user interface
IT/Security Focus – Config panels for technical teams, not wizard-style tools
✅ Guided Presets – HIPAA Mode, GDPR Mode for rapid compliance onboarding
✅ Guided Dashboard – Paste URL or upload files, up running fast
✅ Pre-Built Templates – Live demo, simple embed snippet for painless deployment
✅ In-Platform Guidance – Visual walkthrough of configuration, deployment for no-code users
✅ Knowledge Base – Self-service docs covering setup, integrations, troubleshooting guides
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: Enterprise data security middleware for AI, not RAG platform
Target customers: Healthcare, finance, government needing GDPR/HIPAA/PCI compliance and on-prem deployment
Key competitors: Presidio (Microsoft), Private AI, Nightfall AI, traditional DLP tools
✅ Competitive advantages: 99% RARI vs 70% vanilla, handles billions of records
Pricing advantage: Higher cost but prevents regulatory fines (GDPR €20M, HIPAA $1.5M)
Use case fit: Critical for healthcare PII/PHI, financial records, government data compliance
✅ Market Position – Developer-friendly RAG balancing no-code dashboard with API flexibility
✅ Target Customers – SMBs needing quick chatbot, multi-channel teams, devs wanting flexibility
✅ Key Competitors – Chatbase.co, Botsonic, SiteGPT, CustomGPT, SMB no-code chatbot platforms
✅ Competitive Advantages – Hybrid search, SourceSync API, Functions, 95+ languages, ready connectors
✅ Pricing Advantage – Mid-range $79-$259/month, straightforward tiers, smooth scaling, best value
✅ Use Case Fit – Multi-channel support, simple REST API, webhook/Zapier CRM/ticket integration
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
✅ Model-Agnostic: Works with GPT-4, Claude, LLaMA, Gemini, custom models
Pre-Processing Layer: Masks data before LLM access, not tied to providers
✅ LangChain Integration: Orchestrates multi-model workflows and complex AI pipelines
✅ Context-Preserving: 99% RARI vs 70% vanilla masking accuracy
No Lock-In: Switch LLM providers without changing Protecto configuration
✅ OpenAI GPT-4o – "Accurate" mode for depth, comprehensive analysis, highest quality
✅ GPT-4o-mini – "Fast" mode balances quality with rapid response times
✅ Claude 3.5 Sonnet – Anthropic integration enables Claude model deployment in production
✅ 2024 Models – Updated for latest including gpt-4o-mini long-context improvements
⚠️ Limited Selection – Only GPT-4o/mini toggle; no multi-model routing by complexity
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
⚠️ NOT A RAG PLATFORM: Security middleware only, not retrieval-augmented generation platform
RAG Protection Layer: Masks PII/PHI before RAG indexing and vector database storage
✅ Real-Time Sanitization: Intercepts data to/from RAG systems preventing sensitive data leakage
✅ Context Preservation: Maintains semantic meaning for accurate RAG retrieval despite masking
Query + Response Security: Masks sensitive data in queries and post-processes responses
Integration Point: Security middleware between data sources and RAG platforms
✅ Hybrid Search – Semantic vector + keyword retrieval for comprehensive document matching
✅ Re-Ranking Engine – Surfaces most relevant content from retrieved docs
✅ Smart Partitioning – Intelligent chunking for optimized retrieval across large KBs
✅ Citation Support – Answers grounded in sources with traceable transparency
✅ 95+ Languages – Multilingual RAG without separate configurations for global bases
⚠️ Retraining Workflow – Manual retraining unless automatic mode enabled, not real-time
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
Healthcare AI: HIPAA-compliant patient analysis, clinical support, PHI masking in medical records
Financial Services: PCI DSS payment data compliance, financial records, customer service chatbots
Government & Defense: Classified data protection, citizen privacy, strict data residency requirements
Customer Support: Secure analysis of tickets, emails, transcripts with PII for AI insights
Multi-Agent Workflows: Role-based data access across AI agents for global enterprises
Claims Processing: Insurance PHI protection for accurate, privacy-preserving RAG workflows
✅ Customer Support – Self-service bots from help articles, reduce tickets up to 70%
✅ Internal Assistants – Employee-facing AI with Google Drive, Notion, Confluence knowledge
✅ Multi-Channel Support – Unified deployment: Slack, Telegram, WhatsApp, Messenger, Teams
✅ Website Widgets – Real-time engagement, lead capture, instant question answering
✅ CRM Integration – Functions create tickets, update CRM, trigger workflows from chat
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
✅ GDPR/HIPAA/PCI DSS: Pre-configured policies, BAA support, Safe Harbor PHI masking
PDPL/DPDP Compliance: Saudi Arabia PDPL, India DPDP with regional policies
✅ End-to-End Encryption: TLS in transit, encryption at rest with audit logs
✅ Role-Based Access: Privileged users see unmasked data, others see tokens
✅ Deployment Flexibility: SaaS, VPC, on-prem for strict data residency
Zero Data Egress: On-prem ensures data never leaves organizational boundaries
✅ AES-256 & TLS – Encryption at rest and in transit, zero training use
✅ SOC 2 Type II – Certified for GDPR, HIPAA, CASA, CCPA compliance
✅ Domain Allowlisting – Lock chatbots to approved domains for security
✅ Audit Logging – Activity tracking for compliance monitoring, incident investigation
⚠️ Cloud-Only – No on-premise for air-gapped/highly regulated requirements
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
Enterprise Pricing: Custom quotes based on volume, throughput, deployment model
✅ Free Trial: Test platform capabilities before commitment with hands-on evaluation
Volume Discounts: Pricing scales with usage, better rates for higher volumes
Cost Justification: Prevents regulatory fines (GDPR €20M, HIPAA $1.5M penalties)
⚠️ No Public Pricing: Contact sales for custom quotes tailored to needs
✅ Free Trial – 7 days full access, test everything risk-free
✅ Growth – ~$79/month for small teams starting chatbot deployment
✅ Pro/Scale – ~$259/month expanded capacity: messages, bots, crawls, uploads
✅ Enterprise – Custom pricing for large deployments, dedicated support, SLAs
✅ Transparent Pricing – Straightforward tiers without hidden fees or confusing per-feature charges
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
✅ Enterprise Support: Dedicated account managers, SLA-backed assistance for large deployments
Comprehensive Docs: REST API, Python SDK, integration guides for data pipelines
Whitepapers & Best Practices: Security frameworks, compliance guides, AI pipeline architectures
Integration Guides: Snowflake, Databricks, Kafka, LangChain, CrewAI, model gateways
Professional Services: Implementation help, custom policy setup, security workflow design
✅ Training Resources: HIPAA Mode, GDPR Mode presets for rapid deployment
✅ Email Support – 24-48hr standard response; faster for Enterprise tier
✅ REST API Docs – Clear documentation with live examples covering all endpoints
✅ Daily Digests – Automated performance summaries, conversation metrics without logins
✅ Partner Program – Agency partnerships for consultants, implementers, resellers ecosystem
⚠️ No Phone Support – Email-based only on standard plans; phone Enterprise-reserved
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
⚠️ NOT A RAG PLATFORM: Requires separate RAG/LLM infrastructure for complete solution
⚠️ NO Chat UI: Technical dashboard only, not end-user chatbot interface
⚠️ Developer Integration Required: APIs/SDKs need coding expertise for pipeline integration
Higher Cost: Enterprise pricing but prevents GDPR €20M, HIPAA $1.5M fines
Performance Overhead: Real-time masking adds sub-second latency in high-throughput systems
Best For: Regulated industries (healthcare, finance, government) requiring compliance, not general-purpose
⚠️ OpenAI/Claude Only – Cannot deploy Llama, Mistral, custom open-source models
⚠️ Cloud-Only – No self-hosting, on-premise, air-gapped for regulated industries
⚠️ Message Credit Caps – High-volume requires plan upgrades or Enterprise pricing
⚠️ Crawler Limits – URL/sitemap scope limited by plan tier, large sites need higher
⚠️ Emerging Platform – Newer vs established competitors, smaller integration ecosystem
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
✅ Multi-Agent Access Control: Fine-grained identity-based access enforcement across agentic workflows
✅ Role-Based Security: Controls who sees what at inference time with role-specific permissions
LangChain/CrewAI Integration: Comprehensive agentic workflow protection with major orchestration frameworks
Agent Context Sanitization: Masks PII/PHI in prompts, context, and responses during multi-step reasoning
SecRAG for Agents: RBAC integrated into retrieval, checks authorization before agent access
⚠️ NOT Agent Orchestration: Secures workflows but requires LangChain/CrewAI for coordination
✅ Agentic Retrieval – Multi-step engine: decomposes queries, self-checks, compiles cited answers
✅ MCP Server – Context-Aware descriptions enable accurate agent tool routing decisions
✅ Multi-Step Reasoning – Sequential retrieval operations with self-validation for complex queries
✅ Summary Index – Avoid document affinity problems through intelligent summarization
⚠️ No Built-In UI – API platform requires custom chat interfaces, not turnkey
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
⚠️ NOT RAG-AS-A-SERVICE: Data security middleware, not retrieval-augmented generation platform
Security Middleware: Sits between data sources and RAG platforms as protection layer
RAG Protection: Sanitizes documents before indexing, queries before retrieval, responses before delivery
✅ Context-Preserving RAG: 99% RARI vs 70% vanilla masking for accurate retrieval
Stack Position: Protecto (security) + CustomGPT/Vectara (RAG) + OpenAI (LLM) = complete solution
Best Comparison: Compare to Presidio, Private AI, Nightfall AI, not RAG platforms
✅ Platform Type – TRUE RAG-AS-A-SERVICE API platform, August 2024, $5.5M seed
✅ Core Mission – Developers build AI apps connected to data, outstanding RAG results
✅ API-First Architecture – TypeScript/Python SDKs, reliable ingest, latest RAG techniques chunking/re-ranking
✅ RAG Leadership – Summary Index, Entity Extraction, Agentic Retrieval, MCP Server
✅ Managed Service – Free dev tier, pro for production, enterprise scale, no infrastructure
⚠️ vs No-Code – No native widgets/Slack/WhatsApp/builders/analytics/lead capture, requires custom UI
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
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