Data Ingestion & Knowledge Sources
100+ Prebuilt Connectors – Google Drive, Slack, Salesforce, GitHub, Pinecone, Qdrant, MongoDB Atlas
Multimodal Embed v4.0 – Text + images in single vectors, 96 images/batch processing
Binary Embeddings – 8x storage reduction (1024 dim → 128 bytes)
⚠️ NO Native Cloud UI – Connectors require developer setup, not drag-and-drop
✅ 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
Developer Frameworks – LangChain, LlamaIndex, Haystack, Zapier (8,000+ apps)
Multi-Cloud Deployment – AWS Bedrock, Azure, GCP, Oracle OCI, cloud-agnostic portability
Cohere Toolkit – Open-source (3,150+ GitHub stars) Next.js deployment app
⚠️ NO Native Messaging/Widget – NO Slack, WhatsApp, Teams, embeddable chat requires custom development
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
North Platform (GA Aug 2025) – Customizable agents for HR, finance, IT with MCP
Grounded Generation – Inline citations showing exact document spans with hallucination reduction
Multi-Step Tool Use – Command models execute parallel tool calls with reasoning
⚠️ NO Lead Capture/Analytics – Must implement at application layer, no marketing automation
✅ 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
Open-Source Toolkit (MIT) – Complete frontend source code for unlimited customization
Fine-Tuning via LoRA – Command R models with 16K training context for specialization
White-Labeling – Fully supported via self-hosted deployments, NO Cohere branding
⚠️ NO Visual Agent Builder – Agent creation requires Python SDK, not for non-technical users
⚠️ 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
Command A – 256K context, $2.50/$10, 75% faster than GPT-4o, 2-GPU minimum
Command R+ – 128K context, $2.50/$10, 50% higher throughput, 20% lower latency
Command R – 128K context, $0.15/$0.60, 66x cheaper than Command A output
Command R7B – 128K context, $0.0375/$0.15, fastest and lowest cost
23 Optimized Languages – English, French, Spanish, German, Japanese, Korean, Chinese, Arabic
✅ 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)
Four Official SDKs – Python, TypeScript/JS, Java, Go with multi-cloud support
REST API v2 – Chat, Embed, Rerank, Classify, Tokenize, Fine-tuning, streaming
Native RAG – documents parameter for grounded generation with inline citations
LLM University (LLMU) – Learning paths for fundamentals, embeddings, SageMaker deployment
✅ 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
Command A Performance – 75% faster than GPT-4o, runs on 2 GPUs
Embed v3.0 Benchmarks – MTEB 64.5, BEIR 55.9 among 90+ models
Rerank 3.5 Context – 128K token window handles documents, emails, tables, code
Grounded Generation – Inline citations show exact document spans, reduces hallucination
✅ 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
Trial/Free – 20 chat/min, 1,000 calls/month for evaluation
Production Pay-Per-Token – Command A $2.50/$10, R7B $0.0375/$0.15 (66x cheaper output)
Production Unlimited Monthly – No monthly caps, 500 chat/min rate limit
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
SOC 2 Type II + ISO 27001 + ISO 42001 – Annual audits, AI Management certification
GDPR + CCPA Compliant – Data Processing Addendums, EU data residency
Zero Data Retention (ZDR) – Available upon approval, 30-day auto deletion
Air-Gapped Deployment – Full private on-premise, ZERO Cohere infrastructure access
⚠️ NO HIPAA Certification – Healthcare PHI processing requires sales verification
✅ 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
Native Dashboard – Billing/usage tracking, API key management, spending limits, tokens
North Platform – Audit-ready logs, traceability for enterprise compliance
Third-Party Integrations – Dynatrace, PostHog, New Relic, Grafana monitoring
⚠️ NO Native Real-Time Alerts – Proactive monitoring requires external integrations
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
Discord Community – 21,691+ members for API discussions, troubleshooting, Maker Spotlight
Cohere Labs – 4,500+ research community, 100+ publications including Aya (101 languages)
Interactive Documentation – docs.cohere.com with 'Try it' testing, Playground export
Enterprise Support – Dedicated account management, custom deployment, bespoke pricing
⚠️ NO Live Chat/Phone – Standard customers use Discord and email only
✅ 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
Playground – Visual model testing with parameter tuning, SDK code export
Dataset Upload UI – No-code dataset upload for fine-tuning via dashboard
⚠️ NO Visual Agent Builder – Agent creation requires Python SDK, not for non-technical users
⚠️ 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
Enterprise Deployment Flexibility ( Core Differentiator)
SaaS (Instant) – Immediate setup via Cohere API with global infrastructure
Multi-Cloud Support – AWS Bedrock, Azure, GCP, Oracle OCI, cloud-agnostic portability
VPC Deployment – <1 day setup within customer private cloud for isolation
Air-Gapped/On-Premises – Full private deployment, ZERO Cohere data access
✅ Unmatched Among Providers – OpenAI, Anthropic, Google lack comparable on-premise options
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Grounded Generation with Citations ( Core Differentiator)
Inline Citations – Responses show exact document spans informing each answer
Fine-Grained Attribution – Citations link specific sentences/paragraphs vs generic references
Rerank 3.5 Integration – 128K context filters emails, tables, JSON to passages
Native RAG API – documents parameter enables grounded generation without external orchestration
✅ Competitive Advantage – Most platforms need custom citation, Cohere provides built-in
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Multimodal Embed v4.0 ( Differentiator)
Text + Images – Single vectors combining text/images eliminate extraction pipelines
96 Images Per Batch – Embed Jobs API handles large-scale multimodal processing
Matryoshka Learning – Flexible dimensionality (256/512/1024/1536) for cost-performance optimization
Binary Embeddings – 8x storage reduction for large vector databases, minimal loss
✅ Top-Tier Benchmarks – MTEB 64.5, BEIR 55.9 among 90+ models
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Command A – 23 optimized languages: English, French, Spanish, German, Japanese, Korean, Chinese
Embed and Rerank – 100+ languages with cross-lingual retrieval, no translation
Aya Research Model – Cohere Labs open research covering 101 languages
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R A G-as-a- Service Assessment
Platform Type – TRUE RAG-AS-A-SERVICE API PLATFORM for custom developer solutions
API-First Architecture – REST API v2 + 4 SDKs (Python, TypeScript, Java, Go)
RAG Technology Leadership – Embed v4.0 (multimodal), Rerank 3.5 (128K), inline citations
Deployment Flexibility – SaaS, VPC, air-gapped on-premise, unmatched among major providers
⚠️ CRITICAL GAPS – NO chat widgets, messaging integrations, visual builders, analytics
⚠️ 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
Market Position – Enterprise-first RAG API platform with unmatched deployment flexibility
Deployment Differentiator – Air-gapped on-premise, ZERO Cohere access vs SaaS-only competitors
Security Leadership – SOC 2 + ISO 27001 + ISO 42001 (rare AI certification) + GDPR
Cost Optimization – Command R7B 66x cheaper than A, model-to-use-case matching
Research Pedigree – Founded by Transformer co-author Gomez, $1.54B funding (RBC, Dell, Oracle)
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
Customer Base & Case Studies
Financial Services – RBC (Royal Bank of Canada) for banking knowledge and compliance
Enterprise IT – Dell for knowledge management, Oracle for database docs
Global Operations – LG Electronics using multilingual capabilities for global operations
$1.54B Funding – Nvidia, Salesforce, Oracle, AMD, Schroders, Fujitsu investments
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Command A – 256K context, $2.50/$10, 75% faster than GPT-4o
Command R+/R/R7B – 128K context, pricing from $0.0375 to $10 per 1M
66x Cost Difference – Command R7B output 66x cheaper than Command A
23 Optimized Languages – English, French, Spanish, German, Japanese, Korean, Chinese, Arabic
✅ 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
Grounded Generation Built-In – Native documents parameter with fine-grained inline citations
Embed v4.0 Multimodal – Text + images in single vectors, 96 images/batch
Top-Tier Embeddings – MTEB 64.5, BEIR 55.9, Matryoshka (256/512/1024/1536 dim)
Rerank 3.5 – 128K token context handles documents, emails, tables, JSON, code
Binary Embeddings – 8x storage reduction (1024 dim → 128 bytes) minimal loss
⚠️ 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
Financial Services – RBC deployment for banking knowledge, compliance, North for Banking
Healthcare – Ensemble Health for clinical knowledge (HIPAA verification required)
Enterprise IT – Dell for knowledge management, customer support, documentation search
Technology Companies – Oracle (database docs), LG Electronics (multilingual operations)
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
Free Tier – Trial API key with 20 chat/min, 1,000 calls/month
Production Pay-Per-Token – Command A $2.50/$10, R7B $0.0375/$0.15 (66x cheaper output)
Production Unlimited Monthly – No monthly caps, 500 chat/min rate limit
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
Limitations & Considerations
Developer-First Platform – Optimized for teams with coding skills, NOT business users
NO Visual Agent Builder – Agent creation requires Python SDK, not for non-technical users
NO Native Messaging/Widget – NO Slack, WhatsApp, Teams, embeddable chat needs custom development
HIPAA Gap – No explicit certification, healthcare needs sales verification
NOT Ideal For – SMBs without dev resources, teams needing visual builders/messaging
⚠️ 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
Chat API – Multi-turn dialog with state/memory of previous turns for context
Retrieval-Augmented Generation (RAG) – Document mode specifies which documents to reference
Generative AI Extraction – Automatically extracts answers from responses for reuse
Intent-Based AI – Beyond keyword search, surfaces relevant snippets for plain English
⚠️ 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
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
✅ 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
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✅ 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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