CakeAI —AI Project Infrastructure

We envision a future where the power of open-source AI is accessible to every organization, regardless of scale or sector. At Cake, our mission is to dismantle the complexities that hinder the widespread deployment of advanced AI, enabling enterprises to harness these technologies with confidence, security, and speed.

Our platform redefines AI infrastructure by seamlessly integrating diverse open-source tools into a unified, modular stack that is fully managed and highly flexible. By doing this, we empower businesses to innovate rapidly without the constraints of vendor lock-in or operational overhead, building a more open and adaptable AI ecosystem for the future.

Driven by a commitment to open collaboration and autonomy, we are cultivating an environment where bold innovation thrives from the ground up. Cake is not just a technology provider; we are the connective tissue for AI's next wave of transformation, dedicated to unlocking new horizons of possibility for industries, communities, and the world.

When we first encountered Cake, we were immediately intrigued by their fresh take on a persistent problem: making powerful open-source AI tools actually work in the real world. Founded in 2022 and emerging from stealth in 2023, this NYC-based startup has quickly positioned itself as a compelling solution for companies struggling with AI deployment.

A Smart Take on AI Infrastructure

What sets Cake apart is their modular approach to AI infrastructure. Instead of building yet another closed ecosystem, they've created what we'd call a "LEGO set for AI" — over 100 pre-integrated open-source tools that companies can mix and match. It's an elegant solution to the messy reality of enterprise AI, where one-size-fits-all approaches often fall short.

Why It's Turning Heads

We're particularly impressed by Cake's emphasis on flexibility without sacrifice. Their platform handles all the complex infrastructure heavy lifting (security, compliance, monitoring) while still letting companies run everything on their own hardware — a crucial feature for regulated industries like healthcare and finance.

The founders' background adds serious credibility here. CEO Misha Herscu previously built and sold an AI company in radiology, while CTO Skyler Thomas brings deep technical expertise from HPE and IBM. This isn't their first rodeo with enterprise AI challenges.

Where It Really Shines

For mid-sized companies and enterprises that want to deploy serious AI capabilities without building everything from scratch, Cake hits a sweet spot. Their "bazaar over cathedral" philosophy — prioritizing openness and flexibility over locked-down solutions — feels particularly relevant as organizations seek to avoid vendor lock-in while still moving quickly.

With $13 million in seed funding led by Google Gradient Ventures and plans for another round in 2025, they're clearly onto something. While they're still a young company, their thoughtful approach to democratizing AI infrastructure makes them one to watch in the enterprise AI space.