Blaxel

What Blaxel does

Blaxel provides infrastructure for autonomous AI agents, offering perpetual, secure sandboxes that are on automatic standby for near-instant latency. It allows teams to spin up isolated microVMs that boot in milliseconds, auto-suspend when idle, resume in 25 milliseconds, and persist state indefinitely. Blaxel integrates compute, storage, and networking as built-in primitives, enabling agents to run, connect, and operate at scale without requiring users to build their own infrastructure. The platform supports running AI code, co-hosting agents, and managing various AI workloads with enterprise-grade security and compliance.

Products

• SandboxesPerpetual microVMs for agents, apps, or jobs that boot in milliseconds, auto-suspend when idle, and resume in ~25ms with memory state intact. They offer full access to file system, processes, and logs, with native support for Zero Data Retention (ZDR).
• Agent DriveA distributed filesystem for real-time, multi-agent collaboration, allowing agents to share files and session context across sandboxes.
• Agent RuntimeA session-first, fully stateful runtime for long-running AI agents that can run for hours and hand off cleanly between agents.
• Batch JobsScalable compute engine for agents to schedule and execute many AI processing tasks in parallel, including cron, parallel fan-out, and dead-letter handling.
• VolumesDurable, block-storage-backed mounts that retain agent data for years with a fully redundant solution.
• Networking (Outbound control, Static IPs, Proxy routing, Model gateway)Provides deep control over agent networking, including allow-listing outbound traffic, pinning IPs, injecting secrets through managed egress, and routing model calls through a single endpoint.
• MCP Server HostingAllows running MCP servers as first-class workloads on the same private network as agents, ensuring tool calls never leave Blaxel.
• Developer experience (TypeScript-first SDK, Python at parity)SDKs for TypeScript and Python to interact with Blaxel's services, supporting various AI agent frameworks and coding agent harnesses.
• Model GatewayIntelligent routing layer to LLM providers with built-in telemetry, token cost control, and fallback capabilities, co-located with agents for low latency.
• Egress gatewaysProvides dedicated egress IP addresses for sandbox traffic, allowing upstream systems to allow-list.
• Custom domainsManaged custom domains to expose agents on user's own DNS through sandbox preview URLs.

Key capabilities

• Perpetual sandboxes
• Isolated microVMs
• Millisecond boot times
• 25ms resume from standby
• Persistent shared memory
• Programmable networking
• Auto-suspend when idle
• Scales to 50,000+ concurrent microVMs
• Zero data retention (ZDR)
• Distributed filesystem for multi-agent collaboration
• Stateful runtime for long-running agents
• Batch job execution
• Durable volumes for long-term data retention
• Outbound traffic control and firewalling
• Static IP addresses for egress
• Managed egress proxy for secret injection
• Model gateway for LLM providers
• Enterprise-grade security & compliance (SOC 2, HIPAA, ISO 27001)
• Region support for data residency
• TypeScript-first SDK with Python at parity
• Docker image support
• Full observability out-of-the-box
• API keys and OAuth 2.0 for authentication
• Header-based API versioning
• Pagination for Management API

Use cases

• Running AI code in persistent environments
• Multi-agent collaboration with shared filesystems
• Long-running agent sessions
• Scheduling and executing thousands of tasks across individual sandboxes
• Hosting MCP servers alongside agents
• Controlling agent network access and routing model calls
• Developing and deploying autonomous agents
• Isolated execution environment for coding agent harnesses (e.g., Claude Agent SDK, OpenAI Codex CLI, Cursor background agents)
• Conversational agents that take action in the world
• AI-powered data pipelines for data transformation
• RAG agents for enhanced chatbot capabilities
• Autonomous system agents for machine-to-machine workflows (e.g., smart traffic monitoring)

AI approach

Blaxel provides infrastructure for autonomous AI agents, offering isolated microVM sandboxes, persistent storage (Agent Drive), and controlled networking. It focuses on providing the execution layer for agents to run, connect, and operate at scale, rather than building the AI models themselves. It supports various AI agent frameworks and SDKs.

Tech named: microVMs, Agent Drive, TypeScript-first SDK, Python SDK, Docker images, MCP servers, Model Gateway, LLM-generated Python, LLM-generated TypeScript, LLM-generated shell code, Claude Agent SDK, OpenAI Agents SDK, Codex, AI SDK, Mastra, LangGraph, CrewAI, LlamaIndex, PydanticAI, Google ADK, OpenAI Codex CLI, Cline, Cursor background agents

Industries served

• Software Development

What it says sets it apart

• Sandboxes instantly auto-suspend when idle and resume in 25ms with full memory state preserved, unlike ephemeral sandboxes that expire or require constant running.
• State persists indefinitely, rather than expiring after a set period.
• Built specifically for autonomous agents, providing an execution layer for agents to run, connect, and operate at scale.
• Compute, storage, and networking are built-in primitives, reducing the need for users to build their own infrastructure.
• Offers a distributed filesystem (Agent Drive) for real-time, multi-agent collaboration, which is a real filesystem, not an object store.
• Provides a session-first, fully stateful runtime for agents, eliminating the need for manual state management.
• Co-locates agent APIs, MCP servers, and batch tasks directly alongside sandboxes to minimize network hops and latency.
• Framework-agnostic, supporting various AI agent SDKs and harnesses.
• Offers enterprise-grade security and compliance certifications (SOC 2, HIPAA, ISO 27001) and zero data retention.

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.