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Blaxel

Blaxel: Secure compute infrastructure for AI agents. Run AI code, background tasks, and tool calls with low latency.

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Introduction

Overview

Blaxel is a cutting-edge compute infrastructure platform specifically engineered for the unique demands of AI agents. It provides secure, low-latency environments, known as Sandboxes, where AI agents can autonomously run code, execute parallel background tasks, and make sophisticated tool calls. Backed by Y Combinator, Blaxel aims to be the foundational layer for the next generation of AI-driven applications and operations.

What is Blaxel?

Blaxel offers a robust infrastructure designed to empower AI agents. Its core offering includes Sandboxes, which are secure virtual machines optimized for running AI code and agentic workloads with exceptional speed (sub-25ms latency). Beyond individual agent execution, Blaxel facilitates the creation of reliable AI products through features like background task scheduling, a highly customizable gateway for agentic workloads, and enterprise-grade security and compliance.

Key Benefits

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Ultra-Low Latency: Connect to and run code in sandboxes with sub-25ms latency, crucial for real-time agent performance.
Secure Compute Environments: Provides air-tight isolation for running AI-generated code, ensuring security and stability.
Scalable Background Tasks: Enables agents to schedule and execute thousands of background jobs reliably, supporting complex workflows.
Enterprise-Grade Security: SOC 2 Type II certified and HIPAA compliant, offering a secure foundation for sensitive applications.
Developer-Friendly: Offers easy integration via an SDK (@blaxel/core) and clear documentation, accelerating development.

Main Features

The Blaxel platform boasts several powerful features:

Sandboxes: Secure, stateful VMs for running arbitrary AI code with high performance and isolation.
MCP (Multi-Chain Protocol): Enables agents to make programmatic tool calls to sandboxes, facilitating agentic interactions.
Background Task Scheduling: Allows for the reliable execution of scheduled jobs and durable workflows.
Global Agentic Network: A production-grade network designed for agentic AI communication.
Embedded LLM Observability: Provides a 360-degree view of metrics, logs, and traces for LLM applications.
Agentic Hosting: A serverless platform for developing and deploying agents, with GitHub integration for auto-deployment.

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Information

Websiteblaxel.ai
Published date2025/11/04

Frequently Asked Questions

Freemium

+1

Product Information

Pricing Model

📞 Contact Sales

Supported Platforms

Web

Supported Languages

English

Key Features

️

Sandboxes for AI Agents

Secure, isolated virtual machines for running arbitrary AI code with sub-25ms latency and stateful persistence.

⚙️

Background Task Execution

Enables AI agents to schedule and execute thousands of background jobs at scale, supporting cron-based scheduling and automatic retries for reliability.

🌐

MCP for Tool Calls

A highly programmable global gateway that allows agents to make tool calls and interact with compute resources, routing and managing LLM requests.

🚀

Agentic Hosting Platform

Serverless platform for developing and deploying AI agents, featuring framework-agnostic support, GitHub sync for auto-deployment, and rich observability.

📊

LLM Observability

Provides comprehensive observability for LLM applications and agent runs, including metrics, logs, and traces, compatible with OpenTelemetry.

🔒

Enterprise Security & Compliance

Enterprise-grade security with SOC 2 Type II certification and HIPAA compliance, ensuring data security and privacy for demanding applications.

Pros & Cons

Pros

Provides secure and isolated compute environments (Sandboxes) specifically designed for AI agents.
Offers ultra-low latency (sub-25ms) for sandbox connections and code execution.
Supports scalable background task execution and reliable workflows for AI products.
Boasts enterprise-grade security features including SOC 2 Type II certification and HIPAA compliance.
Developer-friendly with an SDK and clear documentation for easy integration.

Cons

Limited information on specific pricing tiers beyond 'contact'.
While SOC 2 certified, detailed compliance documentation might require direct inquiry.

Use Cases

1Running code generation agents that require isolated execution environments.
2Developing AI products that need to perform numerous background tasks reliably.
3Building agentic workflows that involve complex tool calls and interactions with compute resources.
4Deploying AI agents that require secure, low-latency access to compute for real-time decision-making.
5Companies seeking a secure and compliant infrastructure for their AI agent deployments.

Who Should Use This?

👤AI Developers
👤ML Engineers
👤Startup Founders (AI)
👤DevOps Engineers (AI focus)
👤Researchers (AI agents)

Blaxel