Baseten

At Baseten, we envision a future where the power of machine learning is universally accessible and seamlessly integrated into every industry, accelerating innovation and transforming how organizations operate and create.

We are dedicated to removing the complexities of deploying and scaling machine learning models by building an infrastructure platform engineered for performance, reliability, and efficiency in AI-powered applications, especially those driven by generative AI.

Through intelligent automation, multi-cloud support, and relentless optimization, Baseten empowers developers, data scientists, and enterprises to unlock unprecedented value from AI, driving the next wave of technological advancement and business impact.

We've been watching Baseten for a while now, and frankly, we're impressed by how they've positioned themselves in the AI infrastructure game. While everyone's been talking about building the next ChatGPT, Baseten quietly became the company that helps you actually run those models without losing your mind—or your budget.

The Smart Play Behind the Scenes

What caught our attention isn't just their $2.15 billion valuation (though that's nothing to sneeze at). It's how they've tackled the unglamorous but critical problem of AI inference at scale. Think of it this way: building an AI model is like writing a brilliant screenplay, but Baseten is the production studio that actually gets your movie into theaters.

Their approach feels refreshingly practical. Instead of chasing the latest AI trend, they've doubled down on making existing models work better, faster, and cheaper in production. We've seen too many companies struggle with the gap between "our model works in the lab" and "our model works for millions of users."

What Makes Them Stand Out

The technical details matter here. Baseten's focus on performance research—things like speculative decoding and hardware optimization—shows they understand that milliseconds matter when you're serving AI at scale. We're talking about the difference between a chatbot that feels snappy and one that makes users tap their fingers impatiently.

Their multi-cloud approach is clever too. Rather than locking customers into one provider, they're giving teams the flexibility to optimize for cost and performance across AWS, Google Cloud, and specialized GPU infrastructure. It's the kind of vendor-agnostic thinking that enterprise customers actually want.

The Numbers Tell a Story

That 10x revenue growth in 12 months? It's not just impressive—it's validation that they've hit a real pain point. Companies like Patreon and Stability AI aren't choosing Baseten because it's trendy; they're choosing it because it solves expensive, time-consuming problems.

The fact that they nearly tripled their valuation in six months suggests investors see them as more than just another AI infrastructure play. We think they're betting on Baseten becoming the default choice for production AI deployment.

Who Should Pay Attention

If you're building anything with AI models—whether that's a customer service chatbot or the next generation of content creation tools—Baseten deserves a serious look. They're particularly valuable for teams that want to focus on their product rather than becoming experts in MLOps and GPU optimization.

We see them as especially compelling for mid-stage startups and enterprises that need AI to actually work reliably, not just work in demos. Sometimes the most exciting companies are the ones solving the problems that everyone else takes for granted.