We're excited to announce that Blaxel has raised $7.3M in seed funding from First Round, Y Combinator, Liquid 2, Multimodal and several others. This investment will accelerate our mission to provide the infrastructure layer that AI agents need to operate reliably at scale. Current cloud offerings were designed for the SaaS era of human users. Now, there's an urgent need for a new cloud platform that understands the unique requirements of autonomous agents.

The Problem: AI Agents Need Different Infrastructure

The rise of AI agents has fundamentally changed how software is built and deployed. Agents are now managing calendars, responding to emails, generating code, and even creating entire applications autonomously. Yet they're running on infrastructure designed for human developers and traditional applications.

Current cloud providers offer the same services they've had for years, adding features without removing complexity. The result? Infrastructure that's increasingly misaligned with how AI agents actually work.

Consider what happens when an AI coding agent needs to test generated code:

• Agents are making several LLM and tools calls, requiring a very variable amount of resources to fulfill one request
• A request to an agent can last for dozens of seconds or even minutes
• Traditional containers aren't secure enough—agents can be prompted to escape sandboxes
• Virtual Machine boot times of 30+ seconds are unacceptable when agents make hundreds of iterations
• Authentication, auditing, and observability systems weren't designed for autonomous actors
• Network architectures can't handle the distributed, high-latency connections agents require
• Existing APIs weren't designed for LLM-friendly interfaces

Unlike traditional applications where databases sit next to web servers, AI agents face unique networking challenges. An agent might connect to an LLM in one region, APIs in another cloud, memory systems in a third location, and knowledge bases elsewhere. Each connection adds latency, yet users expect instant responses—especially with voice interfaces becoming the primary way humans interact with agents.

This mismatch creates real problems. Companies building AI agents spend more time wrestling with infrastructure than improving their products. Costs spiral as agents require dedicated resources just to achieve acceptable performance and users leave their product because of performance issue (not only the accuracy).

Enter Blaxel: Infrastructure Built for Agents, Not Humans

Blaxel provides a complete infrastructure platform designed specifically for AI agents. Instead of adapting legacy services, we built from first principles around agent requirements.

Secure Sandboxes Our sandbox environments spin up in under 3 seconds, with cold starts from hibernation measured in milliseconds. They provide:

• True isolation that prevents container escapes
• Automatic hibernation after 1s inactivity
• Snapshot and forking* capabilities for rapid experimentation