AnswersPrivate equity
In short
An AI roll-up platform combines buy-and-build with a shared AI platform that every acquisition joins. Choose a vertical where AI changes how the work gets done, underwrite the platform as well as the cost savings, put engineers inside each company, reuse proven modules across the group, and measure value company by company. Private equity already has most of this machine; the platform and the engineers are the new parts.
| Component | What it does |
|---|---|
| Shared AI platform | Connects each company's systems in place and gives every agent the same model of the business. |
| Integration playbook | Brings each add-on onto the platform quickly, with its data and permissions intact. |
| Reusable modules | Workflows proven in one company, adapted for the next. |
| Engineers inside each company | Build with the people who do the work and keep systems running. |
| Group-level view | Value, cost and adoption measured company by company. |
Look for fragmented markets with repeatable work, high labor intensity and customers who value speed and consistency, where AI changes the operating model rather than trimming a cost line. Professional, field and back-office services are common examples.
Building an AI roll-up platform →The Bending Spoons playbook →
Building the platform in-house takes years and a large engineering team. Partnering gets the platform and engineers in place for the first acquisition, with the context, modules and models staying with the group. Fig builds the platform on CosmOS and works inside each company.
What should PE operating partners look for in an AI platform? →
A buy-and-build strategy where acquired companies join a shared AI platform that changes how their work gets done.
Connecting systems in place and reusing proven modules lets each add-on move faster than the one before.
Yes. Each company's data and permissions stay its own, and modules move between companies.
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