THE RIGHT PARTNER, AT THE RIGHT TIME
Built for mid-market private equity
Most consulting models were not designed for mid-market businesses.
Too much process.
Too many layers.
Too far from the problem.
We are different by design.
An independent, senior-led partner that understands how value is created — and what it takes to deliver it.
Who we work with
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Mid-market investors across North America, Europe and Oceania
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Funds that understand data and AI as drivers of enterprise value
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Portfolio company leadership teams moving from fragmented data to real decision-making
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Data-mature organisations seeking targeted expertise — from advanced analytics and machine learning to automation and solution design
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Clients looking for a long-term solution, not a one-off project
Why they work with us
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A senior operating partner — not a team of juniors
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Independent judgement — not a templated approach
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Experience in high-pressure, time-constrained environments
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Confidence to make decisions that matter
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Avoiding the $1m mistake — making the right decisions early, before time, budget, and momentum are lost
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A trusted relationship — not a transactional engagement
Our clients are not looking for more theory.
They are looking for someone to step in, take ownership, and deliver.
How we are different
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Led and delivered hundreds of data and AI initiatives across sectors and maturity levels
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Operate in private equity environments; we understand pace, pressure, and accountability
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You work with one senior, accountable point of contact
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Prioritise depth of partnership over volume of clients
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We bring structure and proven approaches, not more frameworks
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We are selling experience, pragmatism, and care
We work at the intersection of strategy and data. Between the boardroom and the data team. Between ambition and implementation.
And when we define a roadmap, timeline, and investment — we are ready to deliver it.
Because we have done it before.
Your data & AI partner across the investment cycle
From diligence to strategy and operational delivery, DataDiligence is a senior data & AI 'operating partner' to investors and leadership teams - turning data into enterprise value across the investment lifecycle.
Investment decisions
Data & AI due diligence
For investors evaluating acquisitions or preparing a business for sale.
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Buy-side data & AI diligence
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Vendor due diligence (VDD)
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Data integration (bolt-ons)
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Data asset assessment
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AI capability validation
= Better investment conviction, pricing confidence and risk visibility.
Our clients include
Mid-market investors & their portfolio companies
Across sectors, geographies, technologies, and maturity
Boutique advisory
Our services
From diligence to delivery, we help investors and portfolio companies unlock value from data.
Data & AI Diligence
Assess and test the data behind the investment case.
Fact-based view of whether the data & AI assumptions in the investment case are real and achievable.
Phase 1 - Reality & readiness
Review what actually exists — data, systems, people, and processes
Validate claims around customers, products, and transactions
Identify hidden data debt and governance gaps
Assess feasibility of analytics, automation, and AI initiatives
Phase 2 - Analytical evidence
Use the target’s data to test value-creation levers
Audit structured and unstructured data quality
Validate whether datasets connect across systems
Test feasibility of AI, analytics, and automation use cases
Data & AI Operating Partner
Leadership, strategy and delivery to unlock value during the ownership period.
Operational data and AI capabilities that drive measurable impact — plus skills transfer to sustain them.
Data & AI initiatives aligned with value creation plan
Business data twin and core data model design
Data platform and architecture roadmap
Executive dashboards & operational analytics
AI, machine learnign, and automation initiatives
Interim chief data & analytics officer leadership
Skills transfer and capability building
Embedding data practices so the business can sustain progress independently
Exit readiness & VDD
Prepare data and AI for scrutiny — using same lens buyers will apply in diligence.
Credible, evidence-backed data story that strengthens buyer confidence and valuation.
Assess the data estate through a buyer diligence lens
Validate data quality, structure, and system connectivity
Identify gaps likely to surface in diligence — and close them before exit
Evidence the impact of analytics, automation, and AI initiatives
Test whether datasets support claims on growth, pricing, and efficiency
Document data architecture, governance, and platforms
Support management during buyer diligence, interviews and technical review
Same data
Different outcome
200+
Client engagement across continents
100+
Data & AI due diligence and discovery across target maturity and sector
30+
PE firms in North America, Europe, Africa and Oceania
$10m-1bn+
Enterprise values: we typically work with mid-cap investors
"DataDiligence treats data as a strategically valuable assets (rather than a cost centre) and demonstrates data’s significant impact on business performance.
They always thrive to come up with innovative ways of using the advancements in technology and analytics to add value for us. The solutions are targeted to our customer’s business problems, while using an unparalleled ability to pragmatically leverage the data, technology, and people available. Adam and the team are true professionals and bring world-class processes to data science field."
Christian Berthelsen
CTO, Fourth - Data & AI Strategy & Delivery
“The DataDiligence team invested the necessary time to understand our portfolio company’s unique challenges and deliver a bespoke data strategy tailored to its business needs ... By integrating and unifying our systems into a scalable, AI-enabled infrastructure, we now have enhanced visibility across our operations, greater predictability of performance, and a solid foundation for future innovations.
Both phases were delivered on time and on budget, a remarkable achievement given the complexity of integrating multiple entities, systems, and data. The solutions provided by DataDiligence have not only positioned our company for sustainable growth but also ensured we are fully equipped to seize market opportunities with increased confidence.”
Caroline Shettle
Principal, The Riverside Company - Portfolio company Data & AI Strategy and Delivery
"New methodologies – particularly the business data twin – have enabled us to radically reduce our time to market and automate previously time-consuming processes. Better still, these new ways of working, coupled with machine learning, are repeatable. Meaning we continue to improve and reap the economic benefits of scale and learning.
Lastly, beyond their technical skills and professionalism, DataDiligence feel more like team members than external consultants – we greatly value our trusted, transparent relationship."
Data intelligence director
Portfolio company, Data & AI Strategy and Delivery
“We've loved working with DataDiligence.
It's been a fantastic outcome for us as a business, primarily with the concrete outcome of the RPA+GenAI webscraper project as well as the kickstart and mentoring for our ML/AI in our solution.
It gave us what we needed: a concrete path to valuable use cases for us that can be reimagined using smart solutions. ”
Erik Tengen
CEO, Oaky - Data & AI Operating Partner, automation
"It was a pleasure working with you on the AI due diligence.
Your insights have helped us to refine our priorities and identify key areas for improvement."
Guy Shaked
CTO, FIDO, target company Data & AI Due Diligence
"Beyond the depth and level of insights, I was very impressed by the actionability of DataDiligence's findings – they really had gone above and beyond to make sure that the Company themselves could own and deliver on the strategy.
I highly recommend DataDiligence to investors and management teams looking to better structure and commercialise their data."
Richard Hardy
Investment Director, BlueOrchard (part of the Schroders Group) - Portfolio Company Data & AI Strategy
“We partnered with DataDiligence to drive a strategic initiative at Feefo, aimed at unlocking the commercial value of our data. From the initial discovery through to the completion of the design phase, we were consistently impressed with the depth of intelligence and market knowledge that the DataDiligence team brought to the project.
Their approach struck the perfect balance between strategic vision and practical implementation, providing a clear roadmap to achieve our commercial objectives. We really enjoyed working with the team, and wouldn’t hesitate to recommend DataDiligence to businesses who are looking for strategic guidance to harness the value from their data assets.”
Kerry Leighton-Bailey
Chief Product & Marketing Officer, Feefo - Data & AI Strategy
"Arise B.V. engaged DataDiligence to perform a data due diligence assessment for a specialised data platform. We were impressed by their methodical and all-encompassing investigative approach.
Additionally, their report offered valuable insights and recommendations on both the opportunity and technical aspects."
Fred Pelser
Senior Investment Director, Arise - Data & AI due diligence
What our clients say
Trusted by investors & management teams alike
Our expert team has delivered over 200 projects, across geographies, sectors, data and business maturity
Opinions & insights
Latest Insights
Opinions from our team of experts
Diligence
REAL DEALS - Due Diligence Report 2025: The Data Advantage
In this Real Deals expert commentary, Chelsea Wilkinson explains why data and AI diligence is becoming a critical source of conviction in private equity investing. As growth strategies increasingly depend on analytics, automation and AI, the article sets out why technology diligence alone is no longer sufficient — and how weaknesses in data quality, structure and connectivity can undermine execution, scale and valuation.
Chelsea Wilkinson
15 Dec 2025
Insights, About us
What 2025 taught us about data, AI, and investment conviction
2025 was a year where data foundations became central to operational performance, valuation confidence, and exit readiness. Across deals and portfolio work, investors looked past AI ambition and focused on the evidence behind growth claims — particularly the completeness, connectedness, and reliability of underlying data.
Chelsea Wilkinson
12 Dec 2025