Data Ingestion & Knowledge Sources
Document formats – PDF, DOCX, PPTX, CSV, TXT, HTML; 5MB free tier limitWebsite crawling – Hundreds of thousands of pages indexed under 5 minutesGoogle Drive – Native integration with real-time sync for cloud contentSQL databases – MySQL, PostgreSQL, Oracle, SQL Server, AWS/Azure/Google Cloud SQL⚠️ YouTube, Dropbox, Notion, OneDrive – Zapier middleware required (no native integration)
✅ 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
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
Hybrid Retrieval Architecture ( Core Differentiator)
✅ Three-component system – Elasticsearch + Milvus vectors + XGBoost ML reranking
75.33 NDCG@10 – MTEB vs 73.16 pure vector (3% improvement)96.50% Recall@20 – Anthropic benchmark vs 90.06% baselineModels – snowflake-arctic-embed-m, bge-en-icl, voyage-2, OpenAI text-embedding-3-large✅ Key finding – Open-source models match/exceed paid alternatives in benchmarks
N/A
N/A
98.3% response accuracy – Claimed with 1.2-second average responseSource citation – Visual PDF highlighting with page-level references⚠️ No published uptime SLA – Service reliability not documented
✅ 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
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
Developer Experience ( A P I & S D Ks)
REST API + GraphQL – Bearer token auth with scored passage responsesdenser-retriever – MIT-licensed Python package (261 stars, 30 forks)Docker Compose – Full stack with Elasticsearch and Milvus containers⚠️ Self-hosted "not production suitable" – Requires additional persistence and secrets config
Rate limits – 200 API calls/month on free tier
✅ 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
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
Supported LLMs – GPT-4o, GPT-4o mini, GPT-3.5, Claude (version unspecified)API keys – Users provide OpenAI or Claude keys via environment⚠️ No custom fine-tuning – No private model hosting documented
✅ 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 availableClaude 4.5 – Anthropic's Opus available for EnterpriseAuto model routing – Balances cost/performance automaticallyZero API key management – All models managed behind the scenes
Website deployment – JavaScript widget (single line), iFrame, REST APIWordPress – Official plugin with page-specific targeting for no-code installZapier – 6,000+ apps with lead form triggers and events⚠️ No native Slack, Teams, Discord – WhatsApp via Zapier only
⚠️ CRM via Zapier only – HubSpot, Salesforce, Zendesk not native
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 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
Drag-and-drop builder – Theme colors, logos, button sizing, bubblesCustom domains – Available on paid tiers for white-labelingWelcome messages – Configure suggested questions and greetings
⚠️ 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
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
No- Code Interface & Usability
Visual builder – Drag-and-drop theme customization without codingSetup – Single line JavaScript; WordPress plugin for no-code⚠️ Learning curve – Documentation fragmented across multiple sites
⚠️ ~4-person team – Impacts enterprise support capacity
⚠️ 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
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
Integrated lead capture – Configurable fields (name, email, company, role, phone)Conversation-triggered forms – Dynamic deployment based on conversation contextAnalytics dashboard – Lead quality, satisfaction scores, conversion trends✅ 24.8% conversion rate – Claimed on homepage demonstrating effectiveness
N/A
N/A
Multi- Language & Localization
80+ languages – Automatic language detection for global deploymentsMultilingual rerankers – jinaai/jina-reranker-v2-base-multilingual support
N/A
N/A
Conversation history – 30-360 days retention by tierHuman handoff – Triggers when complexity exceeds scopeEscalation workflows – Zendesk ticket creation for handoffs
N/A
N/A
Observability & Monitoring
Conversation logs – Retention by tier (30-360 days)User engagement tracking – Common queries, conversation length, drop-off points⚠️ No A/B testing – No third-party BI integration (Tableau, PowerBI)
⚠️ No real-time alerting – No documented SLA tracking
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
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
S Q L Database Chat ( Unique Feature)
✅ Direct SQL connectivity – Conversational BI across major databases
Supported databases – MySQL, PostgreSQL, Oracle, SQL Server, AWS/Azure/Google Cloud SQLNatural language to SQL – Ask questions, receive database query resultsAES-256 encryption – Secure connections with read-only access requirement
N/A
N/A
Free – $0: 1 chatbot, 20 queries/month, 5MB limitStarter – $19-29/month: 2 chatbots, 1,500 queries/month, 30-day logsStandard – $89-119/month: 4 chatbots, 7,500 queries/month, custom domainBusiness – $399-799/month: 8 chatbots, 15,000 queries/month, priority supportEnterprise – Custom: Private cloud, dedicated support, AWS Marketplace⚠️ User feedback – "Plans quite restrictive, credit limits reached sooner"
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
Standard: $99/mo – 60M words, 10 botsPremium: $449/mo – 300M words, 100 botsAuto-scaling – Managed cloud scales with demandFlat rates – No per-query charges
⚠️ NO SOC 2, HIPAA, ISO 27001, GDPR certifications – Not for regulated industries
Private cloud deployments – Enterprise tier for data sovereigntyAES-256 encryption – Database connections with read-only accessAWS infrastructure – Data storage and processing on AWS
✅ 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 complianceEncryption – 256-bit AES at rest, SSL/TLS in transitAccess controls – RBAC, 2FA, SSO, domain allowlistingData isolation – Never trains on your data
✅ denser-retriever – MIT-licensed, 261 GitHub stars, full RAG transparency
Docker Compose deployment – Local experimentation with Elasticsearch and MilvusValidate benchmarks – Test embeddings, rerankers, chunking on own data⚠️ Self-hosted "not production suitable" – Denser recommends managed SaaS
N/A
N/A
Founded 2023 – Silicon Valley startup, ~4 employees (bootstrapped)✅ Founder Zhiheng Huang – Former Amazon Kendra scientist, Amazon Q lead
70+ research papers – 14,000+ citations; BLSTM-CRF 5,400+ citations
N/A
N/A
R A G-as-a- Service Assessment
✅ TRUE RAG PLATFORM – Hybrid retrieval with open-source transparency
Data source flexibility – Good (documents, websites, Google Drive, SQL)LLM model options – Good (GPT-4o, Claude, multiple embeddings/rerankers)✅ Open-source transparency – Excellent (MIT-licensed core, published benchmarks)
⚠️ Compliance & certifications – Poor (no SOC 2, HIPAA, ISO 27001)
Best for – Technical teams prioritizing retrieval accuracy and validation
⚠️ 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
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
vs CustomGPT – Superior retrieval transparency, SQL chat; gaps in compliancevs Glean – Open-source vs proprietary, lower cost; lacks permissions-aware AI✅ Unique strengths – Hybrid retrieval benchmarks, founder pedigree, SQL chat
Target audience – Developers building AI chatbots without strict compliance
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 – 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
✅ Hybrid retrieval – ES + Milvus vectors + XGBoost reranking
75.33 NDCG@10 on MTEB – vs 73.16 pure vector (3% improvement)96.50% Recall@20 – Anthropic benchmark vs 90.06% baselineSource citation – Visual PDF highlighting with page references98.3% accuracy claimed – 1.2-second average response time
⚠️ 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
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
Customer support chatbots – Website deployment with 24.8% conversion rate✅ SQL database chat (unique) – Natural language queries against major databases
Technical documentation – Hundreds of thousands of pages indexed under 5 minutesMultilingual support – 80+ languages with automatic detectionDeveloper-focused RAG – MIT-licensed denser-retriever for validation
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
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
Documentation – docs.denser.ai, retriever.denser.ai, GitHub READMEs⚠️ Documentation fragmented – Information scattered across multiple sites
~4-person team – Impacts enterprise support capacityOpen-source community – 261 GitHub stars, 30 forks, MIT license
✅ 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
Documentation hub – Docs, tutorials, API referencesSupport channels – Email, in-app chat, dedicated managers (Premium+)Open-source – Python SDK, Postman, GitHub examplesCommunity – User community + 5,000 Zapier integrations
Limitations & Considerations
⚠️ No compliance certifications – Missing SOC 2, HIPAA, ISO 27001, GDPR
⚠️ Small team (~4 people) – Potential scaling constraints for enterprise
⚠️ Heavy Zapier dependency – No native Slack, Teams, CRM integrations
⚠️ Fragmented documentation – Scattered across docs, retriever docs, GitHub
⚠️ User feedback – "Plans restrictive, credit limits reached sooner"
⚠️ 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
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
AI agent capabilities – Process data for intelligent automation with customizationMulti-platform deployment – Launch across websites and messaging with single lineAdaptive learning – Chatbot learns over time using conversation analysis24/7 availability – Smart AI support with instant answers
✅ 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
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
Conversational interface – Chat with customers in friendly mannerBusiness knowledge integration – Trained on documents, websites, Google DriveMulti-language support – 80+ languages with automatic detectionLead capture – Integrated forms (name, email, company, role)Human handoff – Triggers on complexity with Zendesk tickets
⚠️ 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
✅ #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
Customization & Flexibility ( Behavior & Knowledge)
Behavior customization – Define name, tone, response preferencesFile support – PDF, DOCX, XLSX, PPTX, TXT, HTML, CSV, XMLWebsite crawling – Train bot by crawling URLs for knowledge baseEasy knowledge updates – Add documents, re-crawl, update without rebuildFlexible deployment – Web widget, dashboard, or API integration
✅ 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
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
N/A
✅ 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
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 N/A
✅ 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
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
N/A
✅ 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
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
N/A
✅ 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
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
N/A
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
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
Join the Discussion
Loading comments...