Private Equity

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.

Portfolio Activity
View all →
Deal teams
Testing tools
Operating teams
Advising portcos
Portfolio companies
Building pilots
Value creation
Deal intelligence
$12.5M
Global ChatGPT rollout
10,000+ users
Portfolio data analyst
In production
The GAP

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 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 issue is not a lack of activity. The issue is that activity does not turn into value.
Brian Benedict
Brian Benedict
Co-founder, Chief Commercial Officer — Eliza
Next wave

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 and 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.

Turn AI activity into portfolio value

If AI is already happening across your portfolio, the next question is whether it is creating value you can measure and repeat.

Let’s talk about AI value creation