Turn AI into portfolio value.

Eliza helps private equity firms find, build, and scale AI use cases that move EBITDA, speed up software delivery, and become reusable playbooks across portfolio companies.

AI activity is everywhere. Value creation is still uneven.

Most PE firms are already active with AI. Deal teams are testing tools. Operating teams are talking to portfolio companies. Portcos are building copilots, automations, and internal pilots.

The issue is not a lack of activity. The issue is that activity does not turn into value.The firms that pull ahead connect AI to the operating model: how companies ship software, close the books, serve customers, modernize legacy systems, and scale what works from one portco to the next.

That is where Eliza comes in

The early wave was product experimentation.

The next one moves EBITDA.

Chatbot features, copilots, demo videos, model selection. Some of it was useful. Much of it was hard to tie back to EBITDA.

The current wave is more practical: it lives in the operating model, not the demo.

How Eliza Helps

We come with a point of view. Then we build.

Discovery

Outside-in discovery

We use AI research agents to build a first view of each company: business model, systems, competitors, workflows, and likely AI opportunities. We do not start with a blank page.

Validation

Human validation

Senior Eliza practitioners pressure-test that view with CEOs, CTOs, CFOs, operators, and functional leaders. The goal is to find the use cases that are valuable, feasible, and owned by the business.

Blueprint

Blueprint and prioritize

Each priority initiative gets scoped around value, readiness, architecture, risk, owner, and deployment path. We are not creating an idea backlog for someone else to figure out later.

Build

Build, deploy, transfer

The same team that scopes the work builds it. We deploy into the real environment, document the system, train the team, and leave behind a playbook that can be reused.