Inherent turns your company distributed knowledge into a governed company brain. So that your AI Agents become your employees.
Models without your context will always hallucinate.
Separate data, permissions, and audit logs for each team under one company account.
“A life saver for our legal work. We're now serving 3 more clients with the same team.
Your agent queries the brain — on your infrastructure, never our cloud.
import { Inherent } from "@inherent/sdk";
const inherent = new Inherent({
apiKey: process.env.INHERENT_API_KEY,
});
// Your agent's one call to the brain
const { chunks, audit_id } = await inherent.retrieve({
query: "How do refunds get handled?",
});We are onboarding teams building internal agents, client AI workflows, and governed knowledge systems.
Docs stay available for technical proof. Demos are for teams ready to connect private context.
Inherent turns your company distributed knowledge into a governed company brain. So that your AI Agents become your employees.
Because models without your context are guessing. Four problems every operator hits within a month of rolling out AI — and what changes when the brain is finally yours.
Generic answers
Your team pastes the same context into a fresh chat, ten times a day. The model has no idea how your company actually works.
Every reply is rooted in your real Notion, Drive, Slack and GitHub — not the open web. The first answer is the right one.
The tweak loop
Reword. Re-paste. Add the doc. Remove the doc. The model still misses the constraint that lives three pages deep in your handbook.
Hybrid retrieval picks the exact chunks that matter for the question. No prompt engineering. No copy-paste. No second draft.
Compliance & trust
Legal asks where the answer came from. You can't say. The output never leaves the draft folder. The project quietly dies.
Every answer links to the source chunk. Every query is logged. Workspace-scoped permissions match the source system. Ship it.
No privacy
Every query and every uploaded doc leaves your perimeter. Legal flags it. Security flags it. The pilot stalls in review.
Connect once. Synced live, deduplicated, versioned. Every agent and every new hire reads from the same source.
Engineering shouldn't see HR offer letters. Sales shouldn't query the cap table. Inherent gives every team a walled-off workspace — separate data, separate permissions, separate audit log — under one bill you control.
Inherent returns ranked context chunks. Hand them to whichever LLM the client wants today — and whichever one they demand tomorrow. Or skip the glue entirely and point an MCP client at your workspace.
Your agent queries the brain — on your infrastructure, never our cloud.
import { Inherent } from "@inherent/sdk";
const client = new Inherent({ apiKey: process.env.INHERENT_KEY });
// Workspace-scoped — drop in the key your client issued you.
const { chunks, audit_id } = await client.retrieve({
workspace: "ws_acme_supply",
query: "warranty period for model X-240",
top_k: 5,
});
// Feed straight into any LLM. chunks[].text | .source | .page
const answer = await llm.complete({
messages: [sys, { role: "user", content: buildPrompt(chunks) }],
});
return { answer, audit_id }; // audit_id is how your client inspects it laterEvery retrieval, ingest, and manual chunk edit is logged with the query, the chunks returned, and which end-user triggered it.
Compliance teams love it. Clients love it. And when something breaks at 11pm, you have a one-line grep instead of an outage post-mortem.
Audit logs live in your VPC. We never see your data.
“A life saver for our legal work. We're now serving 3 more clients with the same team — Inherent gave our practice the institutional memory we always needed.
We are onboarding design partners building internal agents, client-facing AI workflows, or private knowledge systems.
Start with the workflow that is failing today: support, sales, operations, or internal copilots. We help wire one context path end to end, then map the private deployment path that fits your team.
Book a DemoDocs stay available for technical proof. Demos are for teams ready to connect real private context.
We onboard teams building internal AI copilots, client-facing AI workflows, and governed private knowledge systems. Start with one source connector, cited retrieval, and a clear deployment path.
REST/MCP access · Cited retrieval · Private by design