AutoCo · Internal tooling for AI-native funds

AI fact layer that turns portcos into autonomous businesses.

Hand more of each portco's work to agents that run on approved facts, not hallucinations. Generate a hypothesis tree from those facts and steer every company to success.

Thesis
01

Funds are becoming product studios.

AI made software cheap to build. Funds can now build software companies themselves, not just back them.

02

Capital is concentrating in hardware and deep tech.

Cheap software is easy to copy, so the moat moves to hardware and deep tech. Capital is following it.

03

Autonomous portcos need institutional design.

Agents are replaceable. The rules agents work under shape outcomes more than the model or harness. Get them right and the mission holds.

04

Funds use AI to pick companies. They should use it to run them.

Sourcing and diligence are automated. Post-investment is still decks, email updates and quarterly calls.

Current partners
Funds and operators we build with.
NOANTechnology partner
Lunar VenturesFund partner
WilbeFund partner
Common MagicPartner
01 Fund manager hypothesis tree

Steering moves from opinion to evidence.

An agent reads each company's event log and infers its stated and revealed bets. Every node carries its evidence and status, so you can model the business against market data and benchmarks.

Event log inputs
  • Change logs
  • Press releases
  • News events
  • Investor updates
  • Live API sources
  • Fact layer (highest resolution)
Time runs top to bottom
DesirabilityWill they want it?
SEP 2026stated

We believe builders are the primary customer segment.

supported+3 −0
NOV 2026revealed

We believe agencies convert faster than solo builders.

testing+1 −1
FeasibilityCan we build it?
SEP 2026revealed

We believe the team can ship major rebuilds quickly.

supported+3 −0
OCT 2026revealed

We believe agent features ship weekly without regressions.

testing+2 −1
ViabilityDoes it pay?
OCT 2026stated

We believe usage pricing plus resellers grows revenue.

unexamined+0 −0
02 Company-wide agents

Growth, product, ops and leadership use agents via MCP on the same facts.

A fact is something true about the company: approved, versioned and served from one API. Not memory an AI picked up along the way that nobody signed off.

Deploy agents across every function and connect them over MCP. Each one works from the same source of truth.

Growth
Campaigns that quote current pricing
Product
Specs written against the live roadmap
Ops
Vendors and runbooks from one record
Leadership
Board updates from approved numbers
MCP
Portco fact layer
Approved · versioned · served from one API
Modules
01 — Hypothesis Tree

The bets, made visible

Generated from the company's facts and tested against live market data and comparable rounds. Works standalone.

02 — Fact Layer

One source of truth per company

Approved, versioned facts served from one API. Every team and agent connects over MCP. Built on NOAN.

03 — Corporate Governance

Mission-lock through later rounds

The mission written into the company's structure, with non-economic entities for oversight, so it holds as new capital and board seats arrive.

04 — Institutional Design

Agents bound by organisation code as law

Company-specific rules enforced by the environment, not written into prompts. Agents comply because they are checked.

How to start

Portfolio steering

Trees across the portfolio, built from events you already receive. No founder onboarding.

Deploys in weeks. Fund-side only.

Company fact layer

The full ontology inside a company, with MCP access for every team. Start with one.

Deploys per company. Fund and founder together.

Build a hypothesis tree for a portco today.

Add what you already have. Generate the first tree from it.

Or book a call