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Integrations your business depends on
Keep vendor APIs, databases, and internal tools working together as contracts and data change.
Built for mission-critical systems
Zerg is a recursively self-improving system for work you can verify. It builds software, checks it against your requirements, and uses the results to improve its tools and workflows for the next run.
Turn your requirements into code, connectors, and workflows.
Run tests, evaluations, and checks against the real system.
Repair failures and refine the tools and workflows that produced them.
Use those improvements on the next task, then check again.
What works feeds the next run
Tests
Check behavior
Tools
Improve the process
Evidence
Review the result
Where it matters
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Keep vendor APIs, databases, and internal tools working together as contracts and data change.
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Build workflows around approvals, permissions, and exceptions, with clear records of what happened.
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Migrate code and repair dependencies while testing the behavior your users rely on.
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Use evaluations, simulators, and hardware checks to test results against the environment they need to work in.
The improvement loop
A failed check becomes useful feedback. Zerg can revise the code, add a missing test, or build a tool that makes the next attempt more reliable. Those improvements become part of how it tackles the next problem. That is what we mean by recursive self-improvement.
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Turn your requirements into code, connectors, and workflows.
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Run tests, evaluations, and checks against the real system.
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Repair failures and refine the tools and workflows that produced them.
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Use those improvements on the next task, then check again.
Working with your systems
Bring your repositories, APIs, documents, data, and test environments into the workflow. Zerg can build missing connectors as part of the job.
Define the task, available tools, execution limits, and places where a person needs to review the work.
Code, tests, and repeatable workflows become assets your team can inspect, maintain, and use again.
Verification
A successful run needs evidence. Your tests, evaluations, simulations, and checks against real systems tell Zerg what passed and what still needs work. The quality of those checks is what makes improvement measurable.
Behavior
Test the result against real acceptance criteria, including failures and edge cases.
Evidence
Inspect the changes, check results, and execution history before deciding what is ready.
Customer case study
All case studies ↗A 21-day agent run migrated a key legacy module to TypeScript and React for under $500 in model tokens, while exposing the visual checks needed before production.
Use cases
A migration must preserve behavior. A connector must deliver the right data. An operational workflow must follow the rules. Clear requirements and observable results give Zerg a useful feedback loop.
Build integrations and check that data arrives correctly, even when upstream systems change.
Turn repeated work into software with permissions, approvals, and exception handling.
Make migrations and dependency changes in reviewable steps, backed by tests.
Validate transformations, reconcile results, and turn failures into repair work.
Tools for teams and agents
Give people and agents a shared place to track tasks, discuss changes, and attach the evidence behind completed work.
Build with Zerg