01
Operations
Generative AI and agents inside the workflows that cost the most hours, with a person signing off where it matters.
Proof: About 1,000 manual hours a month returned to the business.
Every industry
The model is rarely the hard part. Learning a new business fast, and knowing which decision to change, is.
We start by learning each business: how it makes money, where its data lives, and who owns the decisions AI should change. Then the work follows the same shape: diagnose where generative AI, agents, and data products create value; build it with forward deployed engineers; prove it against criteria set before the first line of code; and compound every win into a playbook. The patterns below travel to any sector, and each has already been proven.
What travels
Four patterns that work in any industry.
02
Revenue
Data products and monetization: turning the data a business already creates into products customers pay for.
Proof: Data-driven revenue built from zero to $300M+.
03
Decisions
Models and decision engines in the path of the business, fast and reliable enough to act on.
Proof: 15,000 queries a second at sub-10ms, live and earning.
04
Roadmaps
A crowded list of AI ideas turned into a sequenced, governed program, ordered by dollar impact and risk.
Proof: 40+ generative-AI use cases evaluated, sequenced, and governed in six months.
Why private equity
Portfolios span every sector. So do we.
A sponsor’s portfolio can run from software to manufacturing to consumer brands. Our strength is adapting to each business quickly and setting one technical standard across all of them, so every win becomes a playbook and the second portfolio company costs a fraction of the first. See how we work with private equity.
Case studies
Four industries from our case studies. Examples, not limits.
Our published case studies come from media, streaming, sport, and ad tech, where our leadership spent nearly a decade leading global commercial data at a global media company. They show how the work is done, not where it stops. Under NDA: we never name clients.
Case study 01
Media
For publishers and media groups.
Where AI and data pay off in a media business: bringing audience and advertising data together across divisions, turning first-party data into products advertisers pay for, and returning editorial and commercial hours to the business.
What the work covers
- Unifying data and advertising across divisions into one operating group
- Data products and audience data monetization
- Generative AI across editorial and commercial workflows, sequenced by dollar impact and risk
- AI governance for rights, brand safety, and data use
Proof
A unified media group for a global broadcaster: data and advertising brought together across streaming, ad-tech, and digital divisions into a single operating group. Separately, our leadership built data-driven revenue from zero to $300M+.
Case study 02
Streaming
For streaming services and connected TV.
Streaming and connected TV run on data about who watched what, and where. We build the systems that turn that signal into decisions, at the speed ad and content systems need.
What the work covers
- Audience and viewership data products for connected TV
- Low-latency decision engines for targeting and measurement
- Personalization and recommendation, tied to retention and revenue
- Evaluation harnesses, so model quality is measured on your own content and audiences
Proof
A geospatial decision engine for connected TV: 150M+ U.S. building footprints tied to viewership at 15,000 queries a second and sub-10ms lookups, opening a new line of ad spend.
Case study 03
Sport
For leagues and teams.
Leagues and teams hold some of the most valuable fan and performance data in entertainment. The hard decisions are what to build, what to buy, and in what order.
What the work covers
- Data and analytics platform strategy, sequencing, and build-vs-buy
- Fan data products and personalization
- Generative AI for content, commercial, and fan operations
- Vendor selection with an operator’s lens
Proof
A league-scale data and analytics platform: we shaped the strategy, sequencing, and build-vs-buy decisions for a major new data and analytics investment.
Case study 04
Ad tech
For ad tech platforms and advertising businesses.
Advertising rewards whoever can decide fastest with the best data. We build the data products and decision systems that open new lines of ad spend.
What the work covers
- Data monetization strategy and data products
- Identity, audience, and contextual data systems
- Low-latency decisioning at production scale
- Agentic workflows for campaign and sales operations
Proof
15,000 queries a second at sub-10ms, live and earning. Our leadership built data-driven revenue from zero to $300M+.
The ledger
Proof, not promises.
1,000
About 1,000 manual hours a month returned to the business.
$300M+
Data-driven revenue built from zero to $300M+.
40+
40+ generative-AI use cases evaluated, sequenced, and governed in six months.
15,000
15,000 queries a second at sub-10ms, live and earning.
Outcomes delivered by our leadership across operating roles and client engagements.
Next
Tell us how your business makes money. We will show you where AI moves it.