Platform

Enterprise agent infrastructure

Six dimensions that separate toy demos from production-grade agents that can run your most critical workflows.

Coworker Platform

The platform for deploying and managing agents at enterprise scale

Everything you need to deploy, monitor, and optimize enterprise-grade AI agents — and the team that can deploy it end-to-end.

1

Command Center

Approvals, monitoring, evaluation, and optimization.

2

Orchestration

Configuration and orchestration across any channel, application, or workflow.

3

Learned Context

Permissioned context, skills, and memory grounded in your systems, knowledge, and workflows.

4

Infrastructure

Multi-model, multi-cloud infrastructure and integrations with enterprise-grade security.

Platform Dimensions

What production-grade actually means

Every enterprise agent challenge maps to a core dimension. We built the platform to solve all of them.

Reliability

Does it get the right answer — even with messy data?

Deep-reasoning agents ground every decision in verified data — making judgment calls across unstructured inputs, resolving contradictions, and handling exceptions that break rule-based automation.

99.7%Output accuracy
85%+Unstructured data handled
Scale

Can it run thousands of tasks without breaking?

Each agent gets database access and persistent compute for parallel execution at enterprise scale.

10K+Concurrent workflows
MillionsRows processed
State

Can it manage ongoing work and get better over time?

A state computer gives agents persistent memory to track progress, learn from corrections, and continuously improve.

PersistentContext retention
ContinuousLearning cycle
Cost

Is it ROI-positive or cost-prohibitive?

Intelligent routing across closed, open-source, and self-hosted models. Best cost per required output, always.

60–80%Cost reduction
12+Model providers
Governance

Is it permissions-aware and auditable?

Built-in permissions, approval workflows, escalation logic, and full audit trails. Humans in the loop where it matters.

100%Audit coverage
ConfigurableApproval gates
Deployment

How fast is time to value?

Ambient Learning lets agents observe and replicate existing workflows — no integration project required.

DaysTime to deploy
ZeroIntegration effort
The Coworker Difference

Every dimension solved, not just one.

Most platforms excel at one or two dimensions and ignore the rest. Coworker was designed from day one to handle all of them — because production agents fail at the weakest link.

See it in action
How It Works

From build to automation

STEP 01

Map & Model

Agents observe your workflows, tap into 100k+ deployed agents' learnings, and build a deep understanding of your business logic.

STEP 02

Configure & Deploy

Define guardrails, approvals, and permissions. Deploy agents with intelligent model routing — no custom code required.

STEP 03

Optimize & Scale

Agents learn from every interaction. Monitor performance, optimize costs, and scale across your organization.

Architecture

Built for enterprise from the ground up

Multi-Tenant Isolation

Each customer gets isolated compute, storage, and network — no shared resources, no cross-tenant risk.

Intelligent Model Routing

Automatically routes each task to the optimal model across providers — balancing cost, latency, and accuracy.

State Computer

Persistent agent memory with structured state management. Agents build context that compounds over time.

Approval Workflows

Configurable human-in-the-loop gates for sensitive operations. Full audit trail for every decision.

Real-Time Monitoring

Live dashboards, alerting, and analytics for every agent across your fleet. Know what's happening at all times.

Deployment Flexibility

Cloud, private cloud, on-premise, or air-gapped. VPC peering and BYOM supported out of the box.

Ready to see what production-grade looks like?

Talk to our team and see how the Coworker platform handles your most complex workflows — end-to-end.