Platform

Enterprise agent infrastructure

The reliability, governance, and scale layer that lets AI agents run your most critical enterprise workflows in production.

Coworker Platform

A 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

Real-time visibility into agent activity – tasks, calls, chats, and documents at a glance.

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, resolving contradictions and handling the exceptions that break rule-based automation.

Structured + unstructuredData sources
Multi-sourceVerification
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.

AutomaticModel routing
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?

Continuous Learning lets agents observe and replicate existing workflows – no integration project required.

DaysTime to deploy
Not requiredCustom code
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.

How It Works

From build to automation

STEP 01

Map & Model

Agents observe your workflows, connect to 100+ data sources, 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.

Organizational Memory

The memory layer that makes agents actually work

Tool calling is slow, sequential, and stateless. OM1 gives agents instant, structured, permission-aware recall across your entire organization — so they reason about your business, not just call APIs.

Speed

Sequential API calls. Latency compounds with every tool call.

Sub-second graph traversal delivers structured recall instantly.

Memory

Stateless. Agents re-discover the same context every session.

Context compounds over time. Agents get smarter with every interaction.

Cost

Multiple LLM calls to plan, call, and synthesize. Tokens add up.

Graph pre-narrows context so the LLM sees only what’s relevant.

Accuracy

Agents guess which tools to call and in what order.

OM1 provides the full picture. Tool calls execute with precision.

Entity-Aware Context

Customers, projects, deals, and people are first-class nodes — agents get structured context, not raw text.

Pre-Synthesized Recall

Tool calling discovers context slowly. OM1 pre-synthesizes it — agents get the complete picture instantly.

Relevancy-Ranked

Graph algorithms score context by proximity, recency, and entity centrality. The most relevant information first.

Permission-Aware

Permission-aware traversal built into the graph. Different users, different agent responses — every boundary respected.

How OM1 learns your business

STAGE 01

Entity Discovery

Connect your tools and OM1 discovers entities — people, companies, projects, deals — across 100+ apps.

STAGE 02

Indexing & Decomposition

Documents and messages are decomposed into atomic facts, enriched with entities and relationships.

STAGE 03

Graph Augmentation

Algorithms identify high-importance nodes, compute centrality scores, and pre-generate summaries.

STAGE 04

Pattern Detection

Automatically surfaces emerging patterns, trends, and risks 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.