Put AI to work where it moves the value of a portfolio company.
We implement AI and automation inside portfolio companies, in finance, operations and go-to-market, where it lowers cost, grows revenue and reduces dependence on key people. Then we document it the way the next buyer will diligence it.
Pilots everywhere, production nowhere
Portfolio companies run lean finance and operating teams, and the hundred-day plan names initiatives nobody has the time to build. AI pilots start and stall, and when a buyer asks what the systems are and who controls them, there is no evidence file.
How it raises value
The mechanism, not a promised multiple. Results get reported as case studies when they exist.
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Cost
Automating preparation work in finance and operations reduces headcount growth and cycle time.
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Revenue
Go To Market builds pipeline from signals instead of spend.
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Multiple
Documented, governed AI systems reduce founder and key-person dependence, which buyers discount.
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Diligence
An evidence log of every tool, model and control, ready for the next buyer.
Implementation, not a slide deck
Think of it as a forward deployed engineer for the portfolio company. We work alongside the operating team, on site when it helps, to find the workflows where automation moves EBITDA, build and deploy the systems, and leave governance behind so the gains survive diligence.
- Agentic Development
Find the workflows
A value-creation assessment across finance, operations and go-to-market, ranked by what moves EBITDA and what it takes to build.
- Agentic Development
Build and deploy
Production systems in the company's own environment: close and reporting, receivables, operations workflows, with a named owner for each.
- Go To Market
Build pipeline
Signals, scoring and drafted outreach, with a person approving every message that goes out.
- Governance & Risk
Leave governance behind
Every tool, model and control written down, so the next owner can see what runs, who owns it and how it is checked.
For portfolio companies with serious compute needs
When a portfolio company is weighing a large compute, power or cooling commitment, we build the technical financial model behind the decision to buy, lease or use the cloud, and the financing strategy that goes with it, from the same desk that has designed and run HPC datacenters. See technical financial models.
A 90-day deployment per portfolio company
One company first. The same playbook extends across the portfolio once it has proven itself.
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The value-creation assessment
Workflows mapped, initiatives ranked, and the first build agreed with the operating team.
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Build and deploy
We work in the company's own systems, alongside the team, until the first workflows run in production.
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Document and hand over
The evidence log, the owners and the controls, handed to the team that will run it.
We provide operating and financing services to portfolio companies. Nothing we build makes or replaces an investment or valuation decision, nothing here offers securities or promises returns, and every system touching portfolio data runs under the sponsor's governance.
Start with one portfolio company
Tell us the company and the plan. We will tell you where AI and automation would move value first.
Financing is arranged with third-party lenders and is subject to lender approval.