ArcRos / Est. 2026

Venture 01 · Company Brain

Company Brain

Extract how work actually gets done, emit versioned skills, and fold every human correction back into a self-improving library.


The problem

Every company runs on know-how scattered across inboxes, Slack, tickets, and people's heads. Search-over-docs answers questions; it does not execute workflows. Agents need structured procedures — not another retrieval layer.

The Company Brain loop: perceive, decide, act, and learn in a continuous cyclePerceiveDecideActLearn
Fig. 1 — The perceive · decide · act · learn loop

The loop

One source ingests resolved work. Extraction mines the actual procedure — not imagined best practice. A skill file is emitted in human-readable markdown with machine-parseable frontmatter. An agent drafts the resolution. A human approves or edits. The correction merges back into the skill. The diff log is the proof artifact.

The skill files are the asset — not an internal cache.

First wedge

Customer-support resolution: observable ground truth, text data, fast feedback loops. The acceptance bar is simple — an agent resolves a new, unseen case using only the extracted skill; after human correction, the next similar case measurably improves.

Why it compounds

Skill files are the asset — not an internal cache. A routing layer sends requests to the right departmental workflow. We dogfood inside ArcRos: building the brain and hardening our own operating model are the same effort.

Capabilities

  • Procedure extraction from resolved cases
  • Versioned skill files with diff history
  • Multi-skill routing across workflows
  • Human-in-the-loop correction merge
  • Holdout evaluation and regression signals
  • Research enrichment for skill maintenance

Dogfooded inside ArcRos

ArcRos is the first customer. Every correction our team makes merges back into the library — and the diff log of those corrections is how we prove the loop works.

Discuss a pilot
Resolved work in
Skill
Agent executes