Confidential

Version control for agents.

The new reality

Engineers now run fleets of agents.

The friction

But running a fleet of agents is a mess.

× They collide: run them in parallel and they trample each other’s work, and merging it back is hell.

× They start blind: each agent burns tokens reconstructing context the others already have.

× They break things: no sandbox, no clean rollback when an agent goes wrong.

× You babysit them: nothing is shared or reviewable, so you watch every run by hand.

Today’s stack

Git only versions code, so teams wire half a dozen tools together and babysit every agent.

Git versions

Code

It can’t see

Environment Plans Decisions Context Agent work Reviews

Git was built for one developer, a few commits a day, alone on a branch.

→

So teams bolt on

Notion Linear Cursor Claude GitHub Figma Drive

And babysit every run

Vision

We’re building the infrastructure layer for collaborative agents.

We’re building the layer that puts a few people in command of a hundred agents, branching, running, reviewing, and merging the whole system together, not just code.

The substrate the whole fleet runs on, not a better app bolted on top of the chaos. That’s what Mod is.

Local & agent first

Mod is version control for the whole system.

Connect a local agent → session auto-created → tracked in parallel → structured context

Collaborative workspace

Your collaborative agent harness.

Sessions Canvases Connect your agents Checkpoints & revert Extensible harness

Market

Collaboration software is being rebuilt for agents.

$165B+

$60B

$8B

$8B · The wedge

Agent infrastructure. The layer teams already buy to run agents, growing ~46% a year. Where we land.

$60B · The category

Collaboration software. Docs, trackers, design, code hosting, all built for humans coordinating with humans, all getting rebuilt for humans and agents.

$165B+ · The prize

The digital workplace. As work shifts to fleets of agents, the value moves to the infrastructure layer the whole stack runs on.

Every team is becoming a few people and a hundred agents. We’re not building a better app, we’re building the layer the next generation of them runs on.

Competition

Productivity apps bolt AI on.
Mod is the infrastructure underneath.

The market we take

Productivity & collaboration apps, built for the human era.

What the agentic age needs

Productivity apps

Mod

Versions the whole system, not a silo

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Agents as first-class collaborators

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Parallel agent work: branch & merge

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Checkpoint, attribute & roll back

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Local-first, runs on your infrastructure

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One programmable substrate, not a fixed app

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An app can add AI features. It can’t become infrastructure. That gap is the whole opportunity.

Team

Built by the people who built the primitives.

Nassar Hayat

Co-founder & CEO

Head of Platform at MultiOn, building browser agents. Led the developer ecosystem team at Radicle, a peer-to-peer GitHub alternative. Co-founded Foodchain, a B2B platform bootstrapped to $5M ARR.

Previously

Alex Good

Co-founder & CTO

Lead maintainer of Automerge, the leading open-source CRDT library, at Ink & Switch. Led the protocol team at Radicle. Co-founded Foodchain. Speaker at Local-First Conf and QCon London.

Previously

Years of R&D on local-first collaboration and agent architectures. We have shipped together before. Longtime collaborators, and each other’s best man.

Business model

We sell the infrastructure
agents run on.

We sell subscriptions that bundle the four things agents consume:

OS inference Storage Hosted VMs Sync

Revenue (ARR) Teams

We launch in ~3 months. Year-3 target: Cursor’s ~50k team scale and $250M ARR (~$5k per team).

Traction

Live today. Technical leaders are already pulling for it.

“Give me a way to share my agent data with the team and I will stop using Linear, GitHub, and Notion.”

Engineering leader

“Our product and engineering teams are stuck in so much grunt work trying to organise and collaborate on plans.”

Engineering leader

“We’re struggling to manage agents across Notion for specs, Linear to track, and a separate GitHub repo for local context.”

Engineering leader

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Shipped and in production: the CLI (npm install -g @mod/mod-cli) and the real-time collaborative workspace.

The ask

Raising to reach the first 1,000 teams.

$X.XM

To grow the team below and put Mod in front of its first 1,000 teams.

Use of funds

Product Engineering2 hires

Infrastructure Engineering2 hires

ML Engineering2 hires

Infrastructure & inferencecompute

Sales & marketingGTM

mod.computer nas@mod.computer