We build grounded assistants that search your internal knowledge1 before they answer. Every response respects who is asking2, stays grounded in your sources3 and can be traced back line by line4.
How RAG works
Connect every source and keep it in sync: files, wikis, code, CRM records and databases, together with who is allowed to see them.
Split content into meaningful passages that respect headings, tables and code blocks, so context is never cut mid-thought.
Turn each passage into a vector that captures its meaning, and attach metadata: source, owner, date and access rules.
Store vectors and keywords side by side, so hybrid search stays fast and precise as your knowledge grows.
Find the passages most relevant to the question that this user is allowed to see, then re-rank them for precision.
Answer only from what was retrieved, cite every claim, and say so plainly when the knowledge isn’t there.
Knowledge sources
We connect the systems your teams already use, keep them in sync, and carry their permissions across.
PDF, Word, slides and scanned files, including tables and images.
GitHub, GitLab and Bitbucket repositories, READMEs and architecture docs.
Salesforce and HubSpot accounts, deals, notes and call summaries.
Confluence, Notion and SharePoint spaces, with page-level permissions.
Postgres, MySQL and data warehouses, queried safely alongside documents.
Google Drive, OneDrive, Dropbox and S3 buckets, synced incrementally.
Zendesk and Intercom articles, macros and resolved tickets.
Public docs, release notes and API references, versioned per release.
Trust & security
Select a safeguard to see where it shows up in a real answer.
Retrieval checks the source system’s permissions for every passage, so a document you can’t open can’t shape your answer.
Each answer lists the exact documents it used, with page, section and version.
Every claim carries a citation, and every run keeps a trace of what was retrieved, cited and ignored.
SSO, roles and groups decide who can ask what, synced from your identity provider.
Each workspace’s index, embeddings and logs stay partitioned, and are never used to train shared models.
Use cases
Each assistant starts from one team’s real questions, and the sources that already hold the answers.
“Where’s the latest travel policy, and does it cover rail?”
“Why does export fail for accounts on the legacy plan?”
“Which service owns invoice retries, and where is it configured?”
“What did we promise Northwind about SSO on the last call?”
“Which supplier contracts auto-renew in Q3?”
“What’s the escalation path when a warehouse scanner goes down?”
In practice
Which enterprise customers qualify for the 2026 loyalty discount?
Customers on enterprise contracts renewed before 31 March qualify for the 2026 loyalty discount of 8%.
Tier A accounts Northwind, Contoso and Fabrikam are all on enterprise renewals dated Q1 2026.
Loyalty discounts need finance approval when combined with any other offer.
Enterprise customers who renewed before 31 March qualify for an 8% loyalty discount.1
Northwind, Contoso and Fabrikam all renewed in Q1, so all three are eligible.2
Where one already has another offer, finance must approve the combination.3
Grounded · 3 sources · 0 unsupported claimsNext step
Tell us where your knowledge lives today. We’ll show you how a grounded, permission-aware assistant would work on top of it.
Make your knowledge searchable