Enterprise RAG
that scales.
Search your company's documents with built-in permissions, document intelligence, and full retrieval history. Deploys on your infrastructure.
The gaps every team hits.
Every team building enterprise RAG hits the same walls. Today they assemble 5+ tools and write thousands of lines of glue code. We solve them in one platform.
Permission sync that actually works
When a user is offboarded, their documents disappear from search results within minutes. SharePoint, Confluence, Google Drive permissions propagate automatically. No manual re-indexing.
Multi-tenant isolation by design
Database-level namespace isolation. Cryptographic tenant boundaries. Cross-tenant data leaks become architecturally impossible, not just unlikely.
Know where every answer comes from
Every retrieval logged: who asked, what was retrieved, from which document version, with what confidence. Full history, exportable, searchable.
Document intelligence for messy enterprise PDFs
Adaptive parsing for clinical trial reports, legal contracts, and financial filings. Tables and charts extracted with structure preserved. Runs on your GPU, not a cloud API.
See what your RAG pipeline is doing
A dashboard that shows which documents are retrieved, where confidence is low, and where permissions cause failures. Built for PMs and team leads, not just ML engineers.
Deploys on your infrastructure
Runs entirely inside your VPC or on-premise. No data leaves your network. No cloud APIs. No vendor lock-in. Built for teams with data sovereignty requirements.
Teams building
enterprise RAG on Embedix.
What enterprise RAG
actually costs today.
What enterprises pay to run RAG in production. Vector DB, LLM inference, and idle infrastructure add up fast at scale.
What practitioners spend building Glean and ChatGPT Enterprise alternatives in-house. Documented in a public post-mortem.
Unanswered enterprise feature requests on Ragflow alone: permissions, multi-tenancy, audit logging, production stability.
Four layers,
one platform.
From your enterprise documents to secure, permission-aware answers.
Connect your sources
OAuth into SharePoint, Confluence, Google Drive, Jira. Documents and their permissions are pulled in one pass.
Parse any document
Adaptive processing for messy enterprise PDFs. Tables, charts, and scanned documents extracted with structure preserved. Runs on your GPU.
Sync permissions in real time
Webhooks watch for access changes. When someone is offboarded or changes teams, their search results update within minutes. Not days.
Search with full history
Users ask questions. Results are filtered by their live permissions. Every retrieval is logged: who asked, what was returned, from which document, with what confidence.
The timing
is right.
Open-source RAG tools hit a wall
Ragflow has 3,100+ open issues. Dify's self-hosted deployment is fragile. Open-WebUI lacks enterprise features. Onyx pivoted away from infrastructure to chat UI. The gap between demo and production keeps growing.
Every team is rebuilding the same infrastructure
Practitioners are spending 1,200+ hours and $10k+/month building in-house RAG stacks. Permission sync, tenant isolation, document parsing. The same 5 problems solved from scratch at every company.
New regulations require audit trails for AI
The EU AI Act requires traceability and documentation for high-risk AI systems. HIPAA is making AI-specific guidance explicit. Teams that don't have retrieval history built in will need to retrofit it.
Building with enterprise design partners.
We're working with teams deploying RAG at pharma, legal, financial services, and healthcare companies. Tell us about your setup. We'll show you what we're building.
We won't share your email. We won't add you to a newsletter. We'll reach out once to schedule a call.