Data Ingestion & Knowledge Sources
Document Formats – PDF, DOC, MD, TXT with automatic OCR parsing
Spreadsheets – CSV, XLS, XLSX with header+row slicing methodology
Cloud Integrations – Google Drive auto-sync, Notion, Microsoft Word scheduled updates
Website Crawling – Sitemap mode with scheduled refresh for automatic updates
Audio/Video – ASR services, YouTube transcript extraction via official tools
Database Support – MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Redis queries
✅ Real-Time Activation – Knowledge effective immediately after saving without deployment delays
✅ Conversation-to-Knowledge – One-click training from logs with automatic Q&A pair generation
✅ 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
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
Messaging Platforms – WhatsApp (Meta+EngageLab), Telegram, Slack, Discord, Messenger, Instagram, Line, WeChat, DingTalk
Customer Service – Intercom, LiveChat, Zoho, Zendesk (Zapier), Sobot, SaleSmartly, Livedesk
CRM Integration – Salesforce and HubSpot for lead capture with AI SDR capabilities
Automation – Zapier (1,500+ apps), n8n workflow support, Webhook V2
Website Embedding – Bubble widget, iframe with user ID passthrough, full API
Mobile Integration – iOS Swift and Android Java WebView bridges
⚠️ Access Control – Domain whitelisting, configurable credit consumption limits per user
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
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
Three Agent Architectures – Agent (single LLM), Flow-Agent (visual orchestration), MultiAgent (collaborative roles)
Multi-Lingual – 90+ languages with 24/7 multilingual support
RAG Grounding – Hybrid search (semantic+keyword) with Jina/BAAI re-ranking for hallucination prevention
Citation Support – Source references with configurable relevance score thresholds
Human Handoff – Intercom, LiveChat, Sobot, Zoho, Webhook triggers with automatic conversation summarization
✅ Lead Capture – Salesforce/HubSpot integration claiming 300% lead growth
⚠️ Performance Claims – 95% autonomous resolution, 90% issue reduction (self-reported, no independent validation)
⚠️ 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
✅ #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
Widget Customization – Custom nickname, theme color, bubble icon, position, size
Proactive Messaging – Configurable triggers with condition-based timing for automated engagement
White-Labeling – Private deployment with independent brand logos and service domains
Multi-Agent Specialization – Create specialized AI roles with unique expertise and knowledge bases
Regional Control – Data storage selection (Singapore default, Japan, Thailand)
RBAC – Owner, manager, viewer roles with team seat management
⚠️ 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
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
OpenAI – GPT-5.1 (400k context), GPT-4.1 (1M context), GPT-4o, o3, o4-mini
Anthropic – Claude 4.5 Opus/Sonnet/Haiku (200k), Claude 4.0 Sonnet
Google – Gemini 3.0 Pro, Gemini 2.5 Pro/Flash
DeepSeek – V3, R1 reasoning model (claimed 87.5% AIME 2025 accuracy)
Meta – Llama 3.0/3.1 (8B-405B parameter range)
Chinese LLMs – Qwen 3.0/2.5, Hunyuan, ERNIE 4.0, GLM-4.5
✅ Dynamic Model Switching – Mid-conversation changes based on task requirements
✅ Service Modes – GPTBots-provided API keys OR bring-your-own-key with reduced credits
✅ Competitive Differentiator – 30+ model options, one of market's most comprehensive selections
✅ 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
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 API – 8 categories: Conversation, Workflow, Knowledge, Database, Models, User, Analytics, Account
Core Capabilities – Create conversations, send messages, retrieve history, run workflows (sync/async)
Audio Support – Audio-to-text and text-to-audio conversion endpoints
User Management – Identity management with cross-channel user merging
⚠️ Rate Limits – Free tier severely constrained at 3 requests/minute
❌ SDK Gap – NO official Python, JavaScript, or Go SDKs available
Documentation – Comprehensive references, multi-language support, 11+ releases in 2025
⚠️ Critical Limitation – Developers must implement direct REST calls without SDK support
✅ 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 – 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
Hybrid RAG Architecture – Multi-path retrieval with semantic vector + keyword search
Re-Ranking Models – Jina and BAAI models for improved accuracy after retrieval
Chunking Strategy – Default 600 tokens adjustable with custom text splitters
Hallucination Prevention – RAG grounding, configurable relevance score thresholds
✅ DeepSeek R1 Integration – Claimed 87.5% AIME accuracy (improved from 70%)
⚠️ Case Study Results – GameWorld claims $4M annual savings (self-reported)
❌ Benchmark Gap – NO published RAGAS scores or third-party analyst coverage
✅ 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
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
Free Plan – $0/month, 100 credits, unlimited agents (3 requests/minute limit)
Business Plan – $649/month, 10,000 credits, 100 agents, 10 published, 10 seats
Enterprise Plan – Custom pricing with private deployment and AI project consulting
Credit System – 100 credits = $1 USD, 1-year validity (use-it-or-lose-it)
Sample Consumption – GPT-4.1 (0.22/0.88), DeepSeek V3 (0.0157/0.0314), Claude 4.5 (0.33/1.65)
⚠️ Entry Cost Barrier – $649/month significantly higher than sub-$100 competitors
✅ Scale Support – 45,500+ users across 188 countries validates enterprise scalability
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
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
ISO 27001 – Information Security Management System certification
ISO 27701 – Privacy Information Management System certification
GDPR Compliance – Explicit compliance with data deletion within 15 business days
Encryption – SSL/HTTPS for transit, encryption technology for data at rest
Regional Storage – Singapore (default), Japan, Thailand data centers
SSO Support – SAML 2.0 with Microsoft Azure, Okta, OneLogin, Google
⚠️ SOC 2 – Referenced but explicit certification details not prominently documented
❌ HIPAA – Not mentioned, potential blocker for healthcare use cases
✅ 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 + 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
Analytics API – Dedicated endpoints for credit consumption tracking
Token Tracking – API V2 includes detailed input/output token counts
Conversation Logs – Full history with configurable retention
GA4 Integration – Event callback tracking for conversion measurement
Retrieval Testing – Debug knowledge base recall quality before deployment
⚠️ Monitoring Gap – Specific alerting capabilities less emphasized than core features
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
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
Documentation – Comprehensive at gptbots.ai/docs with endpoint references
Multi-Language Docs – English, Chinese, Japanese, Spanish, Thai
Testing Resources – Postman Collections (no interactive playground)
Active Development – 11+ major releases in 2025
Enterprise Support – AI project consulting, implementation services, custom SLAs
Parent Company Backing – Aurora Mobile Limited (NASDAQ: JG) with RMB 316.17M revenue
⚠️ G2 Feedback – Documentation gaps cited by 7 reviewers, limited Spanish support by 6
✅ 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
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
No- Code Interface & Usability
Visual Builder – Drag-and-drop agent construction with "no development burden"
Three Complexity Levels – Agent (simple), Flow-Agent (visual), MultiAgent (collaborative)
Pre-Built Templates – Customer support, lead generation, appointment scheduling
Debug & Preview – Test conversations before deployment with retrieval testing
90-Language Support – Multilingual deployment without technical configuration
⚠️ 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
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
Multi- L L M Orchestration
Market-Leading Selection – 30+ models across 7+ providers
Context Windows – Up to 1M tokens (GPT-4.1), 400k (GPT-5.1), 200k (Claude 4.5)
Reasoning Models – DeepSeek R1 with 87.5% AIME 2025 accuracy
✅ Dynamic Switching – Mid-conversation model changes for task-specific optimization
✅ Cost Optimization – Use expensive models for complex tasks, cheap for simple responses
✅ Architectural Advantage – Multi-LLM orchestration unmatched by most competitors
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Deployment Options – AWS cloud-native, Azure cloud-native, complete on-premise
Setup Timeline – Two weeks from initiation to deployment
White-Label Control – Independent brand logos, custom domains, dedicated account systems
Data Sovereignty – Complete control over data location for regulatory compliance
⚠️ Update Cadence – 1-4 updates/year (private) vs monthly (public cloud)
✅ Market Positioning – "Asia's first on-premise AI bot development platform"
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A I S D R & Lead Generation
CRM Integration – Deep Salesforce and HubSpot connectivity
Lead Growth Claims – Up to 300% lead growth (self-reported)
Automated Qualification – AI-driven lead qualification and routing
Multi-Channel Capture – Lead generation across 15+ messaging platforms
GA4 Analytics – Conversion tracking via Google Analytics 4 callback events
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✅ Primary Advantage – Unmatched multi-LLM orchestration with 30+ models
✅ Deployment Flexibility – Only platform offering SaaS, cloud-native, and on-premise
✅ Security Credentials – ISO 27001/27701 certification rare among AI platforms
✅ Asia-Pacific Focus – Regional data centers, Chinese LLM support, multi-language docs
❌ Primary Challenge – NO official language SDKs (Python, JavaScript, Go)
⚠️ Pricing Barrier – $649/month significantly higher than sub-$100 competitors
⚠️ Free Tier Limitation – 3 requests/minute severely constrains production use
⚠️ Market Position – 223rd among 1,893 AI competitors (Tracxn)
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 – 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
Limitations & Considerations
❌ NO Official Language SDKs – CRITICAL GAP limiting developer adoption
❌ iOS/Android WebView Only – Not full native SDK functionality
⚠️ Free Tier Constraints – 3 requests/minute prevents meaningful testing
⚠️ High Entry Price – $649/month creates SMB adoption barrier
⚠️ Credit System Complexity – Multi-dimensional consumption requires careful forecasting
⚠️ Performance Claims Unvalidated – 95% resolution, 90% issue reduction self-reported
❌ No Published Benchmarks – Absence of RAGAS scores or analyst coverage
❌ HIPAA Absence – No healthcare PHI handling compliance
⚠️ Update Cadence Trade-off – 1-4 updates/year (private) vs monthly (public cloud)
⚠️ 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
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
Customization & Flexibility ( Behavior & Knowledge) N/A
✅ 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
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
Additional Considerations N/A
✅ 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
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
N/A
✅ 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-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
N/A
⚠️ 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
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
N/A
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 – 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
N/A
✅ 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 – 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
N/A
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
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
N/A
✅ 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
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
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✅ 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
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 N/A
⚠️ 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 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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