AI Agents That Work
Across Your Organization
Give your team an AI workspace that connects to your systems and takes real action. Use it directly, embed in your product, or automate with the API — all with full sandbox isolation.
How It Works
Three steps to a production agent
Connect Your APIs
Register your internal APIs as MCP servers. The agent gets read/write access to your systems — CRM, ticketing, databases, or any REST API.
Deploy to Your Team or Product
Invite your team to use agents directly, embed the widget in your product with 2 script tags, or call the Task API programmatically. No infra to manage — agents spin up in isolated sandboxes automatically.
Agent Takes Action
The agent orchestrates multi-step tasks across your systems, produces artifacts, sends notifications, and streams progress in real-time.
Integrations
Works with your entire stack
The agent ships with native connectors for the tools your team already uses — and extends to any REST API or MCP server you need.
Products
Three ways to deploy AI agents
Ready-to-Use AI Chat for Your Team
Set up a workspace, connect your APIs, and invite your team. Employees get a ready-made chat interface to work with AI agents across your systems — no code required.
- Invite team members by email — productive in minutes
- Per-project access control with admin and member roles
- Each project gets its own tools, permissions, and system prompt
- Works out of the box — no frontend or backend code needed
AI Chat for Any Website
Add a full-featured AI agent to any page with 2 script tags. Your users interact naturally while the agent executes real tasks across your systems. Your API keys never touch the browser.
- Two script tags — no React, no bundler required
- Authenticated per-user sessions via your JWT
- Full agent with tool use, file uploads, and streaming
- White-label: custom branding and system prompt
Fire-and-Forget Async Tasks
Trigger agent tasks programmatically and stream results in real-time. Upload files as context, retrieve artifacts, set up cron-based monitoring, and build human-approval gates into any workflow.
- POST /tasks to start, SSE stream to follow progress
- File uploads as task context (PDFs, CSVs, images)
- Retrieve structured artifacts after completion
- Webhook delivery and human approval gates
Use Cases
Built for every team
Real use cases across departments — all powered by the same platform.
Embedded in your support portal
Order Management Agent
Customers get instant answers and real resolutions — not just links to FAQs. The agent pulls order data and takes action.
ROI Impact
Teams report 40–60% reduction in first-response time and significant drop in escalations to human agents.
Setup Effort
~2 hours with existing OMS API
Capabilities
Powerful by default. Extensible by design.
Runs on a real cloud computer
Each agent session gets a dedicated Linux environment in the cloud. It can install libraries, write and execute code, manage files — and keep running for hours on complex, multi-step tasks.
$ pip install pandas matplotlib Successfully installed pandas-2.1.0 matplotlib-3.8.0 $ python analyze.py --input Q4_sales.csv → Processing 50,847 rows... → Generating revenue trend chart... → Saved: revenue_Q4.png ✓ Task completed in 4m 12s
- Install any package at runtime — npm, pip, apt
- Persistent session for long-running, multi-step tasks
- Full network access for API calls and web browsing
Tailored to your product
Package your domain logic as reusable Skills and deploy specialized Subagents that know your business. Compose them for tasks no single model can handle alone.
Queries deal history, contacts, and pipeline stage from your CRM in one call
Writes and runs Python to analyze CSVs, produce charts, and surface insights
Drafts and sends outbound emails using your brand voice and templates
- Deploy skills across projects and agent configurations
- Subagents run in parallel for complex, branching workflows
Platform
Built for production from day one
Sandbox Isolation
Every agent session runs in a dedicated E2B cloud sandbox. Code execution, file I/O, and network calls are fully isolated per user.
MCP Integration
Connect any API as an MCP server. The agent discovers your tools at runtime and uses them to take real action in your systems.
Streaming SSE
All task progress streams in real-time via Server-Sent Events. Show live agent status, partial results, and completion in your UI.
Human Approval Gates
Pause agent execution mid-task to require human confirmation before irreversible actions like sending emails or modifying records.
Secrets Encryption
Your API keys and credentials are encrypted at rest and injected only into the isolated sandbox — never exposed to the browser or logs.
Session Auto-Restore
Agents maintain conversation state across sessions. Users can pick up exactly where they left off — even after closing the browser.
Team Management
Invite your team, assign roles, and control who accesses which projects. Admins manage everything — members get exactly the tools they need.
Quick Start
In production in minutes
Create your first task with a single API call. Stream results as the agent works, retrieve artifacts on completion. No SDK required — plain HTTP.
# Create a task
curl -X POST https://api.sigmic.ai/api/tasks \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d ''{"messages":[{"role":"user","content":"Summarize open tickets for Acme Corp"}]}'
# Stream the result
curl -N https://api.sigmic.ai/api/tasks/{id}/stream \
-H "Authorization: Bearer YOUR_API_KEY"Ready to put AI agents to work?
Set up your workspace and invite your team in minutes. No credit card required.
Free tier · No credit card · Up and running in minutes