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Self-learning AI for Operations

Automate complex workflows with human-level precision. Beam's autonomous agents learn from your team and optimize processes in real-time.

+12.5%

Weekly Efficiency

98.2%

Task Completion

Real-time agent performance

Now

Active Agents

4 Online
L
Logistics_Router_01
Optimizing
S
Support_Triage_A
Idle

System Health

99.9% Uptime
All systems operational

Trusted by forward-thinking teams

Vercel
Linear
Stripe
Raycast
Loom

Orchestrate your entire business logic

Build, deploy, and monitor autonomous agents that integrate directly with your existing stack.

Adaptive Workflows

Agents that don't just follow scripts—they adapt to edge cases and optimize paths over time using reinforcement learning.

Enterprise Security

SOC 2 Type II compliant. Granular permission controls and audit logs for every action taken by an AI agent.

Developer API

Full programmatic access via our SDK. Integrate agents into your CI/CD pipelines and internal tools seamlessly.

SDK v2.0

Designed for Developers

Beam is built API-first. Define agent behaviors, set guardrails, and monitor execution streams directly from your codebase using our type-safe SDK.

Type-safe TypeScript SDK
Zero-latency WebSocket streaming
Local simulation environment
agent.ts
import { Agent, Task } from '@beam-ai/sdk';

// Initialize autonomous agent
const logisticsAgent = new Agent({
  role: 'logistics_manager',
  model: 'beam-v2-turbo',
  temperature: 0.2
});

// Define task execution
await logisticsAgent.run({
  trigger: 'new_order',
  constraints: ['cost_optimized', '< 24h'],
  onStep: (step) => {
    console.log(`Processing: ${step.id}`);
  }
});

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