Enterprise AI agents that do the work

Hand off the busywork.
Watch it finish.

Build AI agents that connect to your Shopify, ad accounts, CRM, and databases — and run the repetitive work your team does every week. Describe the job in plain English, chat with the agent, put it on a schedule, and watch the hours add up.

connects your tools · works on a schedule · measurable hours back

Point it at real work. Pick your team.

Every card below is a prompt you could paste on day one. Filter to where you sit.

From your tools to finished work. Four steps.

step one

Connect your tools

Link Shopify, Meta & Google Ads, your CRM, Slack, and your databases in a click. The agent acts with the exact access you grant — credentials never sit in a task.

step two

Build an agent

Describe the job in plain English and attach the skills and data it needs. No prompt engineering, no glue code — a runnable agent in minutes.

step three

Put it to work

Chat with it like a teammate, or set a routine so it runs on its own — hourly, daily, on your cadence. Get alerted when something needs you.

step four

See the impact

Every run is tracked, so you see the hours and cost each agent gives back — proof of value, not a black box.

Everything a team needs to put agents to work.

Not a chatbot and not a framework you have to assemble. A platform where anyone on your team can stand up an agent, connect it to real systems, and trust what it does.

acts as your team

Connected to the tools you already run on

Shopify, Meta & Google Ads, HubSpot, Slack, Gmail, your databases — 40+ integrations, each scoped to exactly what you grant. The agent does the work in your systems, as you, without anyone pasting a password.

Chat & follow-ups

Talk to an agent like a teammate. It keeps the memory and files from earlier turns, so you can refine and go deeper without starting over.

Schedules & alerts

Set a routine and it runs on its own — hourly, daily, your cadence. Get notified on a failure, a match, or a missed run.

Your data, safely

Connect Postgres, MySQL, or Mongo read-only. Ask in plain English; the agent queries it — connection strings encrypted at rest.

Proven impact

Every run tracks the hours and cost it gives back, rolled up per agent and across your workspace.

Multi-tenant by design

Each user's agents, connections, and data are isolated to them — safe to roll out across a whole org.

Connect your whole stack.

Each person links their own accounts in one click — Shopify, Meta & Google Ads, HubSpot, Slack, Gmail, and 40+ more. The agent acts with exactly the access they granted, and tokens are held by a managed connector layer, so credentials never sit inside a task.

Run on the models you choose. No lock-in.

Pick the best model for each job — frontier models for hard work, cheaper or open models for the rest — including ones on your own infrastructure. Swap providers with a config change, never a rebuild.

ProviderEndpointModels
Anthropicnative claude-opus-4-8 · claude-sonnet-5 · claude-haiku-4-5
Ollama Cloudollama.com glm-5.2 · glm-5.1 · glm-4.6
Z.aiapi.z.ai/api/anthropic glm-5.2 · glm-4.7 · glm-4.5-air
DeepInfraapi.deepinfra.com/anthropic zai-org/GLM-5.2 · GLM-5.1 · GLM-5

Autonomous, but contained.

Agents run without a human approving each step — that's what lets them finish real work. Isolation is what keeps it safe: the blast radius of any run is one disposable, sandboxed box, and every action is logged.

  • Non-root user, per-run resource and PID limits
  • No host mounts; a per-task volume is the only persistence
  • Per-task secrets injected into that container alone
  • Wall-clock timeout, then the container is killed

See what your team could hand off.

We'll map your highest-volume busywork to agents and show the hours back — on your tools, with your data. Or jump straight in and build one yourself.