Engineering
Context
AI For Engineering
From scattered data to clear action plans.
Use Cases
How HR teams use Coworker
Explore use cases by team and function.
Use Cases
Process for delivering context-driven engineering
How Coworker Works
Connect your tools
Coworker integrates with GitHub, Jira, Slack, support platforms, and other tools to gather signals across workflows. Connections are secure and read-only by default, and data sources feed OM1 to build a unified memory.
Synthesize organizational memory
OM1 processes structured and unstructured data to build a multi-dimensional model of projects, customers, and decisions. That synthesized memory lets Coworker answer deep questions and generate context-aware work outputs.
Use Deep Work mode for research and architecture decisions and Chat mode for quick questions. Coworker applies OM1 insights to PR reviews, documentation, and planning so decisions reflect customer and product reality.
Track time saved, reduction in meetings, and sprint velocity trends to validate outcomes. Engineering leaders use these metrics to refine automations and scale Coworker across teams.
Teams
Measured ROI and customer results
Time and cost savings
Customers report saving up to eight hours per engineer each week through reduced context switching and fewer refinement meetings. For larger organizations, that improvement scales into six figure savings per year.
Testimonials
Customers love Coworker.
Security
Integrations, Security, and Compliance
Most enterprise AI only delivers simple answers and basic automations. Coworker is able to do ambiguous and valuable work because of the deep context generated by Organizational Memory (OM1).
Fast integration with 40 plus apps
Coworker connects to your engineering, product, and support stacks to collect signals across workflows. Integrations let OM1 build context from code, tickets, chats, and customer data without changing how teams work.
Enterprise Compliance And Certifications
Coworker maintains SOC 2 Type 2, GDPR alignment, and CASA Tier 2 verification. Security teams keep control through existing access models and no permission elevation.
Single Source Of Truth For Cross-Functional Teams
Aggregate product, engineering, sales, and CS inputs into a single account record for clearer handoffs and fewer surprises. That single view reduces friction across onboarding and renewal processes.
FAQ
Frequently Asked Questions
What is AI For Engineering and how does Coworker differ from code copilots?
How does Organizational Memory (OM1) work in practice?
OM1 ingests structured and unstructured inputs from your tools and synthesizes them into a searchable memory that tracks decisions, customers, and projects over time. That memory powers context-aware research, PR reviews, and documentation so outputs reflect historical and cross-team signals.
