Data Ingestion & Knowledge Sources
✅ Enterprise Integrations – APIs connect to Snowflake, Databricks, Salesforce, data lakes✅ High Volume Processing – Async APIs handle millions/billions of records efficientlyPII/PHI Scanning – Detects sensitive data across structured and unstructured sources⚠️ No File Uploads – Designed for data pipelines, not document upload workflows
✅ 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
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
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
⚠️ 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
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
⚠️ Not a Chatbot – Detects and masks sensitive data, doesn't generate responses✅ Advanced NER + Regex – Spots PII/PHI while preserving context and accuracyContent Moderation – Safety checks ensure compliance and prevent data exposure
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
✅ #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 filesCompliance-Focused – Configure policies to match GDPR, HIPAA, PCI DSS requirements
⚠️ 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
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
✅ 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
⚠️ 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
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)
✅ REST APIs + Python SDK – Straightforward scanning, masking, and tokenizing implementationDetailed Documentation – Step-by-step guides for data pipelines and AI appsReal-Time + Batch – Supports ETL, CI/CD pipelines with comprehensive examples
⚠️ 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 – 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
✅ 99% RARI Accuracy – Context-preserving masking vs 70% vanilla masking accuracy✅ Low Latency – Async APIs and auto-scaling maintain performance at high volumeSemantic Preservation – Masked data retains context for accurate LLM responses
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
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)
✅ Custom Regex Rules – Fine-tune masking with granular entity types and patterns✅ Role-Based Access – Privileged users see unmasked data, others see tokensDynamic Policies – Update masking rules without model retraining for new regulations
✅ 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
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
Enterprise Pricing – Custom quotes based on data volume and throughput✅ Massive Scale – Handles millions/billions of records, cloud or on-prem deploymentVolume Discounts – Free trial available, pricing optimized for large organizations
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
Standard: $99/mo – 60M words, 10 botsPremium: $449/mo – 300M words, 100 botsAuto-scaling – Managed cloud scales with demandFlat 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
✅ 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 + 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
Comprehensive Audit Logs – Tracks every masking action and sensitive data detection✅ SIEM Integration – Real-time compliance and performance monitoring with alertingRARI Metrics – Reports accuracy preservation and data protection effectiveness
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
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
✅ Enterprise Support – Dedicated account managers and SLA-backed assistanceRich Documentation – API guides, whitepapers, and secure AI pipeline best practicesIndustry Partnerships – Active thought leadership and compliance standards collaboration
✅ 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
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
✅ Secure RAG Focus – Protects sensitive data in third-party LLMs while preserving context✅ On-Prem Deployment – Total isolation for highly regulated sectorsProprietary RARI Metric – Proves aggressive masking maintains 99% model accuracy
✅ 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
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
⚠️ No Chatbot Builder – Technical dashboard for policy setup, not end-user interfaceIT/Security Focus – Config panels for technical teams, not wizard-style tools✅ Guided Presets – HIPAA Mode, GDPR Mode for rapid compliance onboarding
✅ 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
2-minute deployment – Fastest time-to-value in the industryWizard interface – Step-by-step with visual previewsDrag-and-drop – Upload files, paste URLs, connect cloud storageIn-browser testing – Test before deploying to productionZero learning curve – Productive on day one
Market position: Enterprise data security middleware for AI, not RAG platformTarget customers: Healthcare, finance, government needing GDPR/HIPAA/PCI compliance and on-prem deploymentKey competitors: Presidio (Microsoft), Private AI, Nightfall AI, traditional DLP tools✅ Competitive advantages: 99% RARI vs 70% vanilla, handles billions of recordsPricing 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 – 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 – 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
✅ Model-Agnostic: Works with GPT-4, Claude, LLaMA, Gemini, custom modelsPre-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 accuracyNo Lock-In: Switch LLM providers without changing Protecto configuration
⚠️ 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
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
⚠️ NOT A RAG PLATFORM: Security middleware only, not retrieval-augmented generation platformRAG 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 maskingQuery + Response Security: Masks sensitive data in queries and post-processes responsesIntegration Point: Security middleware between data sources and RAG platforms
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
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
Healthcare AI: HIPAA-compliant patient analysis, clinical support, PHI masking in medical recordsFinancial Services: PCI DSS payment data compliance, financial records, customer service chatbotsGovernment & Defense: Classified data protection, citizen privacy, strict data residency requirementsCustomer Support: Secure analysis of tickets, emails, transcripts with PII for AI insightsMulti-Agent Workflows: Role-based data access across AI agents for global enterprisesClaims Processing: Insurance PHI protection for accurate, privacy-preserving RAG workflows
✅ 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
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/HIPAA/PCI DSS: Pre-configured policies, BAA support, Safe Harbor PHI maskingPDPL/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 residencyZero Data Egress: On-prem ensures data never leaves organizational boundaries
✅ 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 – 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
Enterprise Pricing: Custom quotes based on volume, throughput, deployment model✅ Free Trial: Test platform capabilities before commitment with hands-on evaluationVolume Discounts: Pricing scales with usage, better rates for higher volumesCost Justification: Prevents regulatory fines (GDPR €20M, HIPAA $1.5M penalties)⚠️ No Public Pricing: Contact sales for custom quotes tailored to needs
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
Standard: $99/mo – 10 chatbots, 60M words, 5K items/botPremium: $449/mo – 100 chatbots, 300M words, 20K items/botEnterprise: Custom – SSO, dedicated support, custom SLAs7-day free trial – Full Standard access, no chargesFlat-rate pricing – No per-query charges, no hidden costs
✅ Enterprise Support: Dedicated account managers, SLA-backed assistance for large deploymentsComprehensive Docs: REST API, Python SDK, integration guides for data pipelinesWhitepapers & Best Practices: Security frameworks, compliance guides, AI pipeline architecturesIntegration Guides: Snowflake, Databricks, Kafka, LangChain, CrewAI, model gatewaysProfessional Services: Implementation help, custom policy setup, security workflow design✅ Training Resources: HIPAA Mode, GDPR Mode presets for rapid deployment
✅ 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
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
⚠️ 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 integrationHigher Cost: Enterprise pricing but prevents GDPR €20M, HIPAA $1.5M finesPerformance Overhead: Real-time masking adds sub-second latency in high-throughput systemsBest For: Regulated industries (healthcare, finance, government) requiring compliance, not general-purpose
⚠️ 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
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
✅ 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 permissionsLangChain/CrewAI Integration: Comprehensive agentic workflow protection with major orchestration frameworksAgent Context Sanitization: Masks PII/PHI in prompts, context, and responses during multi-step reasoningSecRAG for Agents: RBAC integrated into retrieval, checks authorization before agent access⚠️ NOT Agent Orchestration: Secures workflows but requires LangChain/CrewAI for coordination
⚠️ 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
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 RAG-AS-A-SERVICE: Data security middleware, not retrieval-augmented generation platformSecurity Middleware: Sits between data sources and RAG platforms as protection layerRAG Protection: Sanitizes documents before indexing, queries before retrieval, responses before delivery✅ Context-Preserving RAG: 99% RARI vs 70% vanilla masking for accurate retrievalStack Position: Protecto (security) + CustomGPT/Vectara (RAG) + OpenAI (LLM) = complete solutionBest Comparison: Compare to Presidio, Private AI, Nightfall AI, not RAG platforms
⚠️ 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 – 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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