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
Knowledge Base (KB) – RAG-powered retrieval: PDF, Word, CSV, plain text uploads
Website 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 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
15+ native integrations – Zendesk, Salesforce, HubSpot, Intercom, Slack, Teams, Freshdesk
Messaging & voice – WhatsApp, SMS, Alexa, Google Assistant, custom telephony
E-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 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
Visual workflow canvas – 50+ drag-and-drop blocks (text, cards, buttons, forms, APIs)
Multi-turn conversations – Context preservation across sessions with full transcript logging
Agent handoff – Multi-agent routing, human handoff with context transfer
100+ 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
⚠️ 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
Visual widget editor – Custom colors, logos, fonts, button styles, bubble positioning
White-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 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
Multi-model support – GPT-4, GPT-3.5, Claude, Gemini per agent/step configuration
Function calling – GPT-4/Claude support with custom model API integration
Prompt 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 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 & SDKs – JavaScript/TypeScript, Python, GraphQL API for queries
API capabilities – Send messages, manage state, retrieve transcripts, update KB
Custom 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 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
Response times – 200-500ms simple, 1-2s complex; 99.9% SLA (Enterprise)
Accuracy claims – GoStudent case: 98% accuracy on 100K conversations
Hallucination 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 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
Real-time updates – Workflow changes deploy instantly, no rebuild required
Version 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-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
Sandbox (Free) – 2 agents, unlimited interactions, 3 collaborators
Pro: $50/month – 10 agents, unlimited interactions, 10 collaborators
Team: $625/month – 50 agents, 25 collaborators, API, version control, RBAC
Enterprise: 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 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
SOC 2 Type II certified – GDPR compliant, HIPAA ready (Enterprise)
Encryption – AES-256 at rest, TLS 1.3 in transit, zero-retention policy
SSO/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 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
Analytics dashboard – Sessions, users, messages, completion rates, drop-off visualization
Conversation funnels – Journey mapping with full transcript viewer
Error 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 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
Founded 2017 – $28M funding (Felicis, OpenAI Startup Fund, Tiger Global)
200K+ teams – Mercedes-Benz, JP Morgan, Shopify; 15K+ developer community
Support 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 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
Workflow-first platform – Excels complex workflows, KB accuracy lags RAG specialists
Best 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 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
Visual canvas builder – Drag-and-drop 50+ blocks, 80% no-code coverage
Collaboration – 10+ simultaneous editors, real-time cursor tracking, comments
Testing 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 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 – Workflow-first platform (founded 2017, $28M funding) for orchestration
Target customers – Enterprise teams (200K+ users: Mercedes-Benz, JP Morgan) needing multi-agent workflows
Key competitors – Botpress, Rasa, Microsoft Power Virtual Agents, NOT RAG tools
Competitive 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 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
Multi-model support – GPT-4, GPT-3.5, Claude, Gemini per agent/step selection
Function calling – GPT-4/Claude real-time action triggering during conversations
Custom 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 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
Knowledge Base – RAG vector search, semantic matching (PDF, Word, CSV, text)
Website crawling – Sitemap ingestion, auto-sync Google Drive, Notion, Confluence, Zendesk
Multi-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 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
Complex workflows – API orchestration, multi-agent coordination, sophisticated logic
Team collaboration – 10+ simultaneous editors with real-time tracking/comments
Voice assistants – Alexa, Google Assistant, custom telephony conversational AI
Customer service – 15+ integrations (Zendesk, Salesforce, HubSpot, Intercom) automation
E-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 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
SOC 2 Type II – GDPR compliant, HIPAA ready (Enterprise), EU data residency
Encryption – AES-256 at rest, TLS 1.3 in transit, zero-retention
SSO/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 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
Sandbox (Free) – 2 agents, unlimited interactions, 3 collaborators
Pro: $50/month – 10 agents, unlimited interactions, 10 collaborators, GPT-4/Claude
Team: $625/month – 50 agents, 25 collaborators, API, version control, RBAC
Enterprise: 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/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
Founded 2017 – $28M funding (Felicis, OpenAI Startup Fund, Tiger Global)
200K+ teams – Mercedes-Benz, JP Morgan, Shopify; 15K+ developer community
Support 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 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
⚠️ 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-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
Agent step (2024) – Autonomous AI with tool use, decision-making, KB access
Multi-agent orchestration – Supervisor pattern connecting specialized agents for conversation aspects
Hybrid architecture – Hard business logic + Agent networks for flexibility
Human handoff – Smooth transitions with full history transfer to support/sales
Lead capture & CRM – Auto-create in HubSpot/Salesforce/Pipedrive, update deal stages
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 – WORKFLOW-FIRST with RAG capabilities, NOT pure RAG-as-a-Service
Core Architecture – Visual canvas (50+ blocks) combining intent-based + RAG hybrid
RAG Integration – KB with vector search (Qdrant) + GPT-4, secondary to workflows
Developer 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 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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