Support agent that cites its sources
Answers from Zendesk, Slack, and Confluence — with a link to where the answer lives.
> Which customers hit the Postgres bug?
One brain · every agent
One context layer. Every agent. Zero context loss.
Point a lens at connected knowledge, and the possibilities are endless.
+100 sourcesConnect Notion, GitHub, Postgres, and 100+ sources once. Every agent gets live, cited company context. No redundant token burn.
Connect Notion, GitHub, Postgres, and 100+ sources once. Every agent gets live, cited company context. No redundant token burn.
- Deployed in your VPC
- Every answer cited
- REST API
Piloted by
One brain · every agent
The problem
You're paying a context tax on every agent you ship.
Redundant token spend
Same 2M-token corpus, paid for 5× across 5 agents · illustrative
Duplicated pipelines
N agents × M sources = N×M pipelines to babysit · structural
Engineer-hours per agent
2–4 engineer-weeks of context plumbing per agent · illustrative
The mechanism
Connected once. Queried everywhere.
Connect once
OAuth into Notion, Slack, GitHub, Postgres, and the rest. Wikis, chats, tickets, code, and rows.
One governed graph
Inherent maps it into a live context graph — continuously synced, every fact carrying a citation to its source.
Every agent queries it
Make one REST call with your API key. Cited answers, never guesses.
Setup in about 5 minutes · continuous sync keeps it current
The engagement
Four weeks of our engineers. Four hours of yours.
Standard sources connect out of the box. The systems only you run are why our engineers come to you — to build the connectors, wire one workflow, and hand over the source. You own what ships.
Week 1
Consult — we map your systems
We trace where decisions live — wikis, threads, tickets, databases, the tool nobody documented — and pick the one workflow worth shipping first.
- You get
- A scoping doc both sides sign: source inventory, connector list, one workflow with a success metric.
- From you
- Two hours with the engineers who own these systems.
Weeks 2–3
Build — we write your integrations
We build the connectors scoped in week 1 — standard sources and the homegrown systems no catalog covers — inside your VPC.
- You get
- Connectors running in your VPC, source code in your repo, every answer carrying its citation.
- From you
- A deploy target in your VPC and read-only service accounts.
Week 4
Ship — we launch your workflow
We wire the graph into the workflow you chose — write access scoped to that workflow alone — and run it live with your pilot team.
- You get
- A production workflow plus runbook, admin access, and repo — it runs without us.
- From you
- One pilot team and one hour to review results against the metric.
Your team's active time: about four hours of working sessions. Everything ships in your VPC and stays yours.
Four weeks is typical, not contractual. If we can't reach a system, you hear it in week 1 — not week 4.
Endless possibilities
Once the brain exists, the next agent is nearly free.
A connected environment doesn't just answer questions — it makes every new workflow a five-minute decision instead of a quarter-long project.
Code review with org memory
Reviews against your conventions, past decisions, and Jira context — not generic best practice.
> Does this match our retry policy?
The new hire who knows everything
An onboarding agent grounded in your real docs — day one, always current.
> How do we deploy to staging?
Sales answers from real docs
Security reviews and RFPs answered from the actual source, not a stale copy.
> Where's our data-retention policy?
Ops agent across systems
Correlates tickets, chats, and database rows when something breaks.
> What changed before the outage?
One brain per client
Agencies clone the same setup per client — isolated workspaces, scoped keys.
> Spin up the next client's brain.
The math
Store context once. Stop paying for it everywhere.
Today
5 agents × 3 sources = 15 pipelines
to build, sync, secure, and babysit — per team, per quarter.
With Inherent
1 governed store. 1 API key.
Every agent connected. The next one is nearly free.
Re-sending a 50k-token context on every run vs. querying one cached, governed graph. Illustrative — your numbers vary. Bring them to the demo.
Trust & governance
Endless possibilities, governed by design.
Your VPC, your data
Deployed into AWS, GCP, Azure, or on-prem. Your data never leaves your infrastructure.
Citations on every fact
Each answer links back to the Slack message, ticket, or doc it came from. Cite, defer, or refuse — never confidently wrong.
Governed access
Multi-tenant workspaces with scoped API keys. Audit-friendly by design.
Store context once. Ship agents endlessly.
Founder-led demos. Bring your worst-context workflow and your token bill.