Secure, scalable RAG systems designed for enterprise requirements. Deploy AI that understands your business while meeting compliance and security standards.
Security, compliance, and scalability are not afterthoughts - they are built into every layer of our enterprise RAG solutions.
SOC 2 compliant infrastructure, encryption at rest and in transit, SSO integration, and audit logging.
Deploy in your own cloud or on-premise. Your data never leaves your controlled environment.
Handle millions of documents and thousands of concurrent users with distributed vector stores.
Role-based permissions ensure users only access documents they are authorized to see.
Track usage, monitor quality, and gain insights into how your organization uses AI.
Connect to Salesforce, ServiceNow, SharePoint, Confluence, and your existing enterprise tools.
Choose the deployment model that fits your security and compliance requirements.
Deploy in your AWS, Azure, or GCP environment with full infrastructure control.
Air-gapped deployment for the most sensitive environments.
Keep data on-premise while leveraging cloud LLMs with secure connections.
Schedule a demo to see how our RAG solutions meet your requirements.
See how leading organizations use RAG to transform knowledge access and decision-making.
Enable employees to find information across policies, procedures, and documentation instantly.
Empower support teams with AI that knows your products, processes, and past resolutions.
Search contracts, regulations, and legal documents with accurate citations.
Help R&D teams find relevant research, patents, and technical documentation.
Give sales teams instant access to product info, competitive intel, and best practices.
New employees get instant answers about benefits, policies, and procedures.
Our enterprise RAG solutions are designed to meet the strictest regulatory requirements.
Certified security controls
Data privacy by design
Healthcare-ready deployment
Information security management
Government cloud compliance
Payment data protection
Pre-built connectors for the tools your organization already uses.
A structured approach designed for enterprise complexity and requirements.
We assess your data landscape, security requirements, compliance needs, and integration points.
Design a RAG architecture that meets your enterprise requirements and scales with your needs.
Build the RAG system with enterprise connectors, security controls, and governance features.
Deploy to your environment with full security validation, load testing, and user training.
Continuous support, monitoring, and optimization to ensure your RAG system delivers value.
Enterprise Consultation
Schedule a call with our enterprise team. We'll discuss your requirements and show you how RAG can transform your organization.
Common questions about implementing RAG in enterprise environments.
Absolutely. We specialize in enterprise RAG that keeps your data where it needs to be. Whether that is your private cloud, on-premise data centers, or air-gapped environments, we design architectures that meet your data residency requirements while still delivering powerful AI capabilities.
Our enterprise RAG systems integrate with your identity provider (Okta, Azure AD, etc.) and respect your existing document permissions. Users only see results from documents they have access to. We implement row-level security in vector stores and audit all queries for compliance.
You have options ranging from cloud APIs with enterprise agreements (OpenAI Enterprise, Azure OpenAI, AWS Bedrock) to fully on-premise open-source models (Llama, Mistral). We help you choose based on your security requirements, performance needs, and budget.
We implement multiple accuracy controls: source citations so users can verify, confidence scoring to flag uncertain responses, feedback loops to continuously improve, and guardrails to prevent hallucinations. We also set up evaluation frameworks to measure and track accuracy over time.
Most enterprises see ROI within 6-12 months through reduced support costs, faster employee onboarding, improved knowledge sharing, and more efficient research. Common metrics include 40-70% reduction in internal support tickets and 30-50% faster information retrieval.
A typical enterprise implementation takes 3-6 months from kickoff to production, depending on complexity. This includes security reviews, data integration, user training, and phased rollout. We can deliver an MVP in 8-10 weeks for validation before full deployment.
We build automated pipelines that detect changes in your source systems and update embeddings accordingly. This can be real-time for critical content or scheduled batch updates for less time-sensitive documents. We also handle versioning and can roll back if needed.
We offer tiered support packages including 24/7 incident response for critical issues, regular performance reviews, quarterly optimization sessions, and help desk for user questions. We also provide training for your team to handle routine maintenance independently.
Join leading organizations using AI to unlock their knowledge and accelerate decision-making.