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?

OM1 — our Organizational Memory layer — gives agents a persistent knowledge graph to track progress, learn from corrections, and continuously improve with entity-aware, permission-aware recall.

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.

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.

OM1 State Computer

Organizational Memory gives agents persistent, entity-aware recall. A knowledge graph that compounds context over time — not stateless tool calls.

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.

Your agents should work as hard as your team does

See how Coworker deploys production agents across your customer workflows – from day one.

FAQ

Frequently asked questions

An agent platform connects to all your tools, maintains unified context across workflows, and orchestrates multiple AI agents from a single control plane. Point solutions solve one task in one tool. Coworker replaces fragmented AI tools with one platform that works across your entire stack.

OM1 builds a living knowledge graph by continuously indexing your connected tools. It decomposes information into atomic facts, maps relationships between entities, and provides permission-aware recall so every agent has accurate, up-to-date company context.

Coworker works across OpenAI, Anthropic, Google, and open-source models including Llama, DeepSeek, and MiniMax. The platform automatically routes tasks to the optimal model based on complexity, cost, and accuracy requirements.

The agent builder lets you configure autonomous workflows with triggers, scopes, data sources, and approval gates. No code required. Agents can be scheduled, event-triggered, or invoked on demand across any connected tool.

Coworker is SOC 2 Type II certified, GDPR compliant, and CASA Tier 2 verified. The platform includes SSO, RBAC, encryption at rest and in transit, complete audit trails, human-in-the-loop approval gates, and support for VPC peering and air-gapped deployments.