What I Learned Building and Selling a Data Platform That Became OVH’s Analytics Suite

When entrepreneurs ask me about building for acquisition, I tell them the same thing: start with the assumption you’ll never sell, but architect like you might. This paradox defined how we built ForePaaS, the data platform that eventually became the foundation of OVH’s entire analytics offering.

After years of building and ultimately selling to Europe’s largest cloud provider, I’ve learned that a successful exit isn’t just about timing or valuation but about building technology that solves problems your acquirer didn’t even know they had.

Architecture for Acquisition

Most startups begin with monolithic architectures for speed, then refactor later. We took the opposite approach. From ForePaaS’s inception, we prioritized microservices architecture with one goal: never crash.

This decision proved prescient. While we were building an end-to-end platform for data projects, we weren’t creating just one product, but multiple interconnected solutions. We separated use cases while maintaining interoperability and automation. The result was a platform that could integrate seamlessly into larger ecosystems.

Our platform architecture included approximately 15 microservices, with key components such as:

● A data processing engine for ingestion and transformation

● A data warehouse for storage and management

● A query builder for efficient data retrieval

● An API serving system for data exposure

● An IAM system for access and security management

● An app builder for custom applications

● An observability and monitoring service

Research shows that 70% of acquisitions fail due to integration challenges, often because the acquired technology can’t mesh with existing infrastructure. By building modular, interoperable components from the start, we inadvertently solved OVH’s integration puzzle before they knew they needed it solved.

The architectural decisions weren’t made with acquisition in mind—we didn’t know that would happen at the start. Instead, we were inspired by how AWS and other cloud providers structured their services. The technical reasoning was straightforward: build smaller solutions and reuse them. For example, if you have three products that all need to build artifacts the same way, you create one build microservice and maintain only one codebase. This approach also enabled independent scaling—if your build service requires more resources than your main solutions, you can scale it independently.

What made integration with OVH easier was that they operated the same way. Cloud providers like OVH work with microservices and product catalogs, just like AWS and us. They were attracted by our ability to merge solutions into their existing catalog, though the integration took several evolutionary phases as they determined the best approach.

The Due Diligence Reality, Beyond the Numbers

When entrepreneurs fantasize about exits, they imagine term sheets and celebration champagne. The reality involves months of technical audits that feel more like archaeological digs than business negotiations.

During our sale to OVH, every line of code faced scrutiny. We validated licensing agreements, and technical debt. The process revealed how crucial documentation and clean IP ownership become during acquisition talks.

Technical due diligence can extend deal timelines by 3-6 months, making preparation critical. We learned that maintaining acquisition-ready documentation isn’t paranoia—it’s strategic planning.

Keeping Teams Motivated Through Transition Uncertainty

The hardest part of any acquisition isn’t technical integration—it’s human integration. While founders obsess over valuations and terms, teams worry about job security and career trajectories.

Our approach centered on collective success rather than founder-centric outcomes. We avoided building a “founder versus team” dynamic by ensuring everyone understood their role in both the acquisition and post-integration success. We offered opportunities and incentives that motivated the entire team through the transition.

30% of acquisition failures stem from cultural integration issues, making team alignment crucial for long-term success. The acquisition itself was just the beginning—our team’s knowledge transfer and enthusiasm for integration became the foundation for OVH’s expanded analytics capabilities.

From Standalone Product to Core Infrastructure

OVH already offered analytics solutions, but lacked unified integration across their ecosystem. Our value wasn’t replacing their existing capabilities but connecting them coherently. They were particularly attracted to our data components: the data warehouse, data processing engine, and query builder.

Since we were already running significant portions of our platform on OVH infrastructure, technical integration proved manageable. The real challenge involved knowledge transfer: sharing years of product development insights and finding optimal integration approaches with OVH’s data team.

This experience reinforced a key insight: acquirers often buy solutions to problems they’re actively struggling with, not just products they admire. Strategic acquisitions focused on capability gaps show 6% higher returns than purely financial acquisitions, according to BCG research.

Timing Beats Valuation – When to Say Yes

The most difficult decision wasn’t whether to sell, but when. Continuing to scale independently offered potential upside, but strategic timing often matters more than peak valuation.

We recognized that OVH’s acquisition offer represented perfect timing alignment: they needed our integrated approach to analytics, we needed their infrastructure scale and market reach. Sometimes the right partnership at the right moment creates more value than waiting for hypothetical future peaks.

Market timing accounts for 42% of startup success, and the same principle applies to exits. The best acquisition offers often come when strategic fit matters more than maximum valuation.

Building What’s Next

Today, as I build another company, these lessons inform every architectural decision. I never start a company targeting an exit strategy—we often say the best exit strategy to target is an IPO. Of course, if opportunities arise and a good offer presents itself, you listen, but that’s not why we build companies.

The focus should be on creating solutions that larger companies desperately need but can’t build themselves. Build technology so valuable that acquisition becomes inevitable, and timing will take care of itself.

Charles Drappier is Co-founder of Blaxel, the AWS for AI Agents, where he’s building essential infrastructure for the next generation of AI applications. With 15 years of experience in cloud infrastructure, Charles previously served as engineering founder of ForePaaS in France, where he built the company from the ground up and led the technical development that contributed to its successful acquisition by OVH, Europe’s largest cloud provider. As a Y Combinator alum (X25 batch), Charles specializes in crafting intuitive developer experiences and architecting highly scalable platform infrastructure for AI agent builders. He’s passionate about solving the complex technical challenges that enable truly autonomous and efficient AI agents, bringing his comprehensive development expertise to the rapidly evolving AI infrastructure space.