Private Equity
AI that shows up
in EBITDA.
Returns now have to come from margin and organic growth. Most portfolio companies use AI and have little to show for it. With the company's leaders, we find the one or two projects that will move EBITDA, and build them.
Trusted by
The situation
Why AI has not moved EBITDA
Too many projects
Effort is spread across many small projects, and none is large enough to matter.
Saved time, no result
Minutes saved per person rarely reach the P&L.
Tools before problems
Software is bought on a demo, before anyone links it to the value creation plan.
Results
Where we move the numbers
a year in new addressable market
Revenue growth
A gas turbine service business couldn't tell when competitors' turbines would need maintenance. We predict it from satellite imagery and industry data, and send qualified leads to the sales team's Salesforce.
Read the case studyanalyst output on fund documents
Back-office capacity
Every filing season, analysts read thousands of fund documents by hand. Our pipeline now handles 98% of filings on its own and flags the rest for an analyst. The firm's client capacity rose 30%.
Read the case studyper asset, down from four days
Data integration
A national real estate fund had analysts reconciling asset data from dozens of banks, each in a different format. Our pipeline normalizes it and scores every deal.
Read how it workslower cost to FDA clearance
Regulated products
Penn Medicine researchers had a research model that outlines organs for radiation therapy in minutes instead of hours. We built the cloud platform and quality system that took it through FDA 510(k) clearance.
Read the case studyHow we work
One repeatable process
A solution built for each company. Nothing moves to the next step until the numbers support it.
More on how we work- 01
Start from the value creation plan
With the CEO and the operating partner, we find the few levers that drive most of the value and pick the projects tied to a P&L number, before any technology is chosen.
You receive: the one or two projects worth funding, each with its expected return, before the company commits to building anything.
- 02
Prove it small
A pilot of a few weeks in one team, one region or one business line, on the company's own data, measured against that number.
You receive: a proven result in the company's own numbers, and the evidence to decide on a rollout.
- 03
Scale what works
We roll the new process out across the company. Its own team can run it, or we can. Then we take the same steps at the next portfolio company.
You receive: a proven improvement in revenue or margin, and an asset the company owns. Both support the exit case.
Why it works
We speak P&L and code.
For more than a decade, our business and engineering teams have worked as one in regulated and data-heavy industries. In a portfolio company they work side by side with the operating partner, company leaders and the domain experts who run the work, so what we build is used and pays back.
In a client's words
“Quantiva quickly got up to speed on the myriad business and technical nuances and requirements of our industry, and innovated around them, which made all the difference for our team and our clients.”
Bring us one portfolio company.
In 30 minutes, we'll tell you whether we see a case and what the next step would be.
Prefer email? innovate@quantiva.co