Fintech App Modernization
Building a global digital wallet on Stellar
100+
countries with cash-in and cash-out
150M+
consumers served by MoneyGram worldwide
Private Equity
Turn hold time into operating value.
AI, data, and product engineering for PE firms and portfolio companies, built around compressed timelines, board-level priorities, and measurable operating outcomes.
Trusted by PE firms and operators
From diligence to portfolio-wide execution
Bulk Disbursement
We created a payment system to aid refugees in partnership with SDF and aid organizations
3
international awards won
1st
blockchain aid platform trusted by the UNHCR
AI readiness assessment
A structured review across seven dimensions: decision architecture and governance, strategic vision and AI ambition, process readiness, data and technology foundations, technology and infrastructure, measurement and ROI, and culture and people, followed by a sequenced action plan.
Data modernization
Modern data architecture, pipelines, governance, and reporting that improve decision-making and give AI reliable context.
AI strategy & implementation
Opportunity mapping, workflow prioritization, governance, and production delivery focused on measurable value, not isolated pilots.
Legacy modernization
Incremental modernization of systems that constrain growth, integration, customer experience, or operating leverage, without forcing a high-risk rewrite.
Technology diligence and planning
Practical assessment of architecture, delivery risk, team capability, security, scalability, and modernization priorities before or after an investment.
Embedded execution teams
Senior teams that work directly with portfolio-company leaders to own a roadmap, deliver a critical function, or add capacity without a long hiring cycle.
What investors and operators say
Martin RufoVP of Operations
@ FINN
We wouldn't be able to operate as efficiently as we do without Cheesecake Labs. Thanks to them, we're scaling our team much more efficiently in the US than in our Germany office.
Justin HallHead of Mobile Engineering
@ Tapcart
They're very proactive and solutions-oriented. They're always suggesting better ways to implement the architecture rather than just doing what they're told. This is exactly what we're looking for in our partners, and we haven't seen that in many outsourced companies.
Mark HeynenCo-Founder & Chief Product Officer
@ Knap
We couldn’t have solved some of the complex problems to deliver this product without the support of Cheesecake Labs' team.
Nan JiangVP, Business Development, M&A
@ Bemis Manufacturing Company
Cheesecake Labs has been a valuable partner to us. They consider what we don’t know and our challenges, and then they anticipate issues and find solutions for us.
Alicia SmithHead of Blockchain Innovation
@ MoneyGram International
They're great to work with. The team is very open, and when we’ve had challenges, they've worked through them with us. We feel like we're one team instead of working with a different company.
Julia RodriguesR&D & Innovation Coordinator
@ AES Corporation
They developed an understanding of the energy sector and applied that to the product. Their collaborative style, communication, and knowledge led us to achieve our goal of having this platform at the end of the project.
Private Equity Technology Review
Bring one company, one board mandate, or one portfolio-wide AI question. We will give you a practical read on feasibility, risk, sequencing, and what it will take to execute.
- Format
- 30-min video call
- Who you'll meet
- Partnerships team + senior solutions engineer
- What we'll cover
- One company, mandate, or AI question you're weighing
- What you'll leave with
- Feasibility view, risk flags, rough cost & timeline
- Cost
- Free, no obligation
FAQ
We work with PE firms and their portfolio companies on AI strategy, data modernization, legacy modernization, and technology implementation — scoped around compressed timelines, board mandates, and measurable EBITDA outcomes.
We run an AI Readiness Assessment across seven dimensions — from decision architecture and governance to data foundations, measurement, and culture — and turn it into a prioritized roadmap the operating team can execute within the first 100 days.
Yes. We support portfolio-wide programs — from a diligence-stage technology read on a target to parallel modernization and AI initiatives across several portfolio companies, with consistent reporting back to the deal team.
Typically within weeks. We staff embedded product and engineering squads that integrate with the portfolio company's team and tools, so value-creation work starts without a long ramp-up.
Against the value-creation thesis: EBITDA impact, operating-cost reduction, and exit readiness. Every initiative ships with baseline metrics and financial attribution, so the board sees measurable outcomes — not activity.