Blaxel is a cloud infrastructure company designed specifically for AI agents. Think of them as building the “AWS for AI Agents.” Pulse 2.0 interviewed Blaxel co-founder Charles Drappier to gain a deeper understanding of the company.
Charles Drappier’s Background
What is Charles Drappier’s background? Drappier said:
“I’ve been developing since 2011, with my first major venture starting in 2015 when I co-founded a company that was later acquired by OVH, Europe’s largest cloud provider. Throughout my career, I’ve been passionate about deep tech development, cloud infrastructure, and workload optimization. I consider myself a versatile developer – I’ve worked across front-end, full-stack, data engineering, and now infrastructure automation. What drives me is tackling challenging problems and simplifying complex systems for users.”
Formation Of The Company
How did the idea for the company come together? Drappier shared:
“We were working for OVH (the biggest cloud provider from Europe) after selling our previous company. While I felt better working for a startup, after discussing with my new co-founders, we decided to start from zero again. Our first idea was to put AI workload serverless at the edge. Our goal was to create the most efficient serverless architecture possible to provide something transparent. We took a lot of time together to fine-tune our ideas, but the goal was always: easy user experience, high performance, and high density.”
Favorite Memory
What has been your favorite memory working for the company so far? Drappier reflected:
“My favorite aspect of working at Blaxel is how fundamentally our development process has changed. We don’t just develop anymore – we create. We use AI throughout our entire workflow: conception, design, development, and infrastructure. The breakthrough moment was when we realized we could truly generate solutions, not just be assisted by AI. This shift means we focus more on reviewing and testing rather than manual development, making us exponentially more efficient than traditional development approaches.”
Core Products
What are the company’s core products and features? Drappier explained:
“Blaxel focuses on providing a new cloud dedicated to agentic workload, which can be used by humans and also by agents themselves. We provide front-facing features like agent hosting, MCP hosting, and agent jobs. What’s under the platform is even better – we’ve leveraged micro-VM technology (used by AWS Lambda) to have the best efficiency possible. We provide a stateful environment which can be used for multiple purposes like code generation and execution. What I find especially cool is that we use this technology for all other features we provide; it’s the foundation of everything in our stack.”
Challenges Faced
What challenges has Drappier and the team faced in building the company? Drappier acknowledged:
“Our biggest challenge is the pace of change in the AI space; everything evolves incredibly quickly. We’re constantly optimizing for performance bottlenecks like network latency and cold starts in serverless environments. The key is staying agile and building infrastructure that can adapt as the ecosystem evolves.”
Evolution Of The Company’s Technology
How has the company’s technology evolved since its launch? Drappier noted:
“At the start, we were trying to put AI models at the edge, but this wasn’t really useful for users (most current usage is on foundation models), so we chose to take the path of agents and MCP. After trying to use different cloud providers as backends (like in our previous company), we found that ‘easy to use platforms’ weren’t enough to bring something really performant to our users. At this point, we took the bet to create our own technology and infrastructure to have the best efficiency possible.”
Significant Milestones
What have been some of the company’s most significant milestones? Drappier cited:
“There have been many: acceptance to YC, first customer, and most recently, raising $7.3 million in seed funding led by First Round Capital with participation from Y Combinator, Liquid2, Transpose, and angel investors.On the technology side, we’ve built three generations of infrastructure deployment, and I guess the most significant was the last one, with the fastest cold start I’ve seen until now (which was our customers’ pain point with serverless). We’re now processing millions of agent requests daily across 16 global regions.”
Customer Success Stories
When asking Drappier about customer success stories, he highlighted:
“One customer we met was struggling with their infrastructure. They were trying to use complex deployments on traditional cloud providers without 10 years of expertise, running many workloads on small, non-scalable VMs. We first helped fix their previous infrastructure, but the cost wasn’t efficient for their usage. Then we worked with them to find their real needs. A first version of our jobs API was born with them. Now all of their workloads are running on our platform, with massive scalability and they’re achieving 50% cost savings compared to typical serverless solutions.”
“Another customer was searching a solution to execute isolated code, goal was to find a secure solution, and to be able to scale. We leverage the other component, and that create a difference, being able to connect an agent to multiple sandbox without having two provider was a key point.”
Funding
When asking Drappier about the company’s funding details, he revealed:
“We recently raised $7.3 million in seed funding led by First Round Capital, with participation from Y Combinator, Liquid2, Transpose, and angel investors. The funding came just one month after we completed Y Combinator’s Spring 2025 batch and are seeing strong growth, though I’m not sharing specific revenue amounts at this time.”
Total Addressable Market
What total addressable market (TAM) size is the company pursuing? Drappier assessed:
“The market is huge. As more and more agentic workloads are created, we imagine billions of agents running worldwide. We want to provide a unified experience as a new dedicated cloud provider for these workloads, and we expect to become a major actor in that market.”
Differentiation From The Competition
What differentiates the company from its competition? Drappier affirmed:
“We differentiate ourselves in two ways. Compared to newcomers in the AI infrastructure space, we provide a unified experience – not just a sandbox, but complete agent hosting and orchestration. Users can start with one service and seamlessly expand. Compared to traditional cloud providers, we’re agent-first by design while maintaining excellent developer experience. We’re purpose-built for this new world of autonomous workloads.”
Future Company Goals
What are some of the company’s future goals? Drappier concluded:
“The top goals are to increase the number of services, integrations, and features we provide. And, is to become the easiest platform to create new agentic workloads from zero, or to provide more efficiency. We’ll use the $7.3 million funding to expand our software platform before potentially moving into custom hardware and data center optimization.”
