Company context for AI agents
Grove builds a continuously updated company brain — synthesized, conflict-resolved, source-grounded — delivered as files any agent can read.
01
Retrieval gives agents fragments. Grove gives them a worldview. Before your agent answers a single question, Grove has already resolved the conflicts, ranked the sources, and built a coherent picture of your company.
02
Grove surfaces your company brain as files on disk. Claude Code, Cursor, any agent already knows how to read files. No custom connectors. No per-agent setup. Just a filesystem that already knows your company.
03
On day one, Grove knows a little. On day thirty, it has absorbed thousands of signals, unified identities across every tool, and resolved hundreds of conflicts. That understanding cannot be bought. It can only be grown.
Your agents can search Slack, read Google Drive, query your CRM. You've connected everything.
Ask who owns your biggest customer relationship. You'll get a name from Gmail. Ask from a different agent and you'll get a different name. Ask about your top priorities and it pulls from whichever strategy doc it finds first — even if that doc is three pivots behind.
The failure is not access. The failure is that agents find too much, can't tell what's current, can't resolve conflicts between sources, and confidently present a fragment as the whole truth.
Retrieval is a scavenger hunt. Every time your agent needs context, it starts from zero. No accumulated knowledge. No sense of what changed. No concept of which source wins when they disagree.
Grove runs continuously in the background — ingesting signal from your tools, resolving conflicts, unifying identity across fragmented mentions, tracking what's current and what's stale, combining sources into understanding that no single document contains.
The output is a context graph: a synthesized, source-tracked representation of your company. Delivered as files. Updated daily. Any agent reads it when it boots up. No searching required.
| Capability | Retrieval / RAG | Grove |
|---|---|---|
| When context is built | At query time | Continuously, before anyone asks |
| Conflict resolution | None — returns first match | Source-ranked, reasoned resolution |
| Identity unification | Treats fragments as separate entities | Unified identity across all mentions |
| Staleness awareness | Treats old docs like new ones | Tracks freshness, flags decay |
| Agent compatibility | Requires custom integration per agent | Any agent that reads files |
| Compounding value | Resets every query | Compounds every day |
There is no standard today for testing whether an agent actually understands your company. We're changing that. Our context benchmark asks: given real company data across real tools, can a system accurately answer basic questions? Who's on the engineering team? What changed last week? Which source wins when Slack and the CRM disagree?
Learn about the benchmark →One that's continuously updated. Source-grounded. Conflict-resolved. That any agent can read from. That compounds every day it runs.
The companies that start building today will have six months of accumulated understanding that no amount of money can buy later. Try the interview now →