Early access

Arbor

The living knowledge base for smart teams.

Capture everything your company knows, let it organize itself, and get answers with citations — for your people today, and for the AI agents you'll deploy tomorrow.

The problem

Your company already knows the answer. Nobody can find it.

Scattered everywhere

The answer exists — in a doc, a thread, a deck, someone’s head. Your team already wrote it. Nobody can find it, so they rewrite it.

The same questions, forever

Your best people spend their sharpest hours answering the same "how do we…" for the fifth time this month, one DM at a time.

Onboarding drags for months

New hires ramp by archaeology — digging through folders and pinging teammates — instead of reading one source of truth that’s actually current.

And the quiet cost underneath all of it: knowledge trapped in scattered docs and DMs is knowledge no AI agent can use. You can't automate on top of chaos.

How Arbor works

Capture. Organize. Answer.

Three things a knowledge base should do — and only one of them should be your team's job.

Arbor — a paper tree growing from layered documents

Capture

Capture everything effortlessly

Drop in docs, notes, decisions, and messages as they happen — no templates to fill, no filing to do. If your team wrote it, Arbor keeps it. Capturing knowledge stops being a chore and becomes a side effect of working.

Workflow visual — documents flowing into an organized living structure

Organize

Organizes itself — a living structure that stays current

Arbor connects related knowledge, surfaces contradictions, and flags what has gone stale. The structure grows and prunes itself as your company changes — no wiki gardener required, no graveyard of outdated pages.

AI agent visual — an agent drawing cited answers from a knowledge base

Answer

Answers with citations, ready for your agents

Ask in plain language, get a direct answer with citations to the exact source — no hallucinated policy, no "I think it’s in the drive somewhere." The same clean, cited knowledge is exposed to AI agents, so everything you capture compounds.

Agent-ready by design

The brain your future agents plug into

85% of enterprises now use AI agents — only 5% see results at scale. The difference is rarely the agent. It's whether the agent has clean, current, trustworthy knowledge to act on.

Arbor is that foundation. Every document you capture becomes structured, cited, machine-usable knowledge — so when you deploy a support agent, a sales agent, or an internal copilot, it answers from your company's truth instead of guessing.

It's also the natural first step of a Nilovate engagement: we implement agents for a living, and the teams that win start by making their knowledge agent-ready.

Live demo

Watch knowledge organize itself

Feed it documents and ask it questions — this is the same living structure your team would work in every day.

Arbor — knowledge agent

demo corpus: Meridian Labs

12 internal documents · 43 sections loaded — handbook, security, support, expenses, releases. Every answer cites its source.

Try a suggested question. Arbor answers only from the Meridian Labs documents loaded into this demo — cited, dated, and honest when the docs don't know.

The payoff

Onboarding in days, not months

When the answers are findable and trustworthy, everything downstream speeds up — new hires, support, and every agent you deploy after.

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living source of truth
0%
of answers cited to their source
0/7
available to your team — and your agents

Early access

Get early access — founding teams shape the roadmap

Join the waitlist and we'll set your team up personally — capture, structure, and first answers within days.

From knowledge to agents

Ready to put your company's knowledge to work?

Start with Arbor, then let Nilovate implement the agents that run on it — support, sales, and operations.