Workers IO
Workers IO provides deterministic virtual machines that let engineering teams verify entire distributed systems under millions of realistic production scenarios, including timing, network, dependency, retry, and crash conditions. The platform reproduces any failure exactly as it happened—with injected faults, full execution traces, and dependency return values—so teams can shrink bugs to root causes and confirm fixes under identical conditions. It also integrates with coding agents like Claude Code, validating agent-proposed changes against production-like scenarios and returning replayable failure cases for iteration.
- Developer Tools
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Teams operating distributed systems where 99.99% uptime is table stakes face immense difficulty verifying that their systems behave correctly under every possible production condition. Real-world failures are rare, complex, and difficult to reproduce, leaving critical bugs undiscovered until they cause outages.
Solution
Workers IO runs distributed systems in deterministic virtual machines and simulates millions of realistic production scenarios, searching through interleavings, faults, and timings to find the exact conditions that break system guarantees. Each failed run is perfectly reproducible with injected faults, full execution traces, and dependency return values, allowing teams to shrink failures to root causes and verify fixes under identical conditions. The platform also integrates with coding agents like Claude Code, verifying agent-proposed changes against production-like scenarios and returning replayable failure cases for iteration.
Target Audience
Workers IO targets engineering teams at organizations where 99.99% uptime is essential, including those operating distributed databases, financial infrastructure, and other high-reliability systems.
Features
- Deterministic VM-based simulation that replays millions of timing, network, dependency, retry, crash, and service behavior scenarios
- Perfect failure reproduction with seeded runs, injected faults, full execution traces, and dependency return values
- Automatic bug shrinking to root cause with verified fix confirmation under the same failing conditions
- Coding agent integration (e.g., Claude Code) that validates proposed changes against production-like scenarios and returns replayable failure cases with run IDs, failing seeds, and debug bundles
- Promise-based verification where teams define explicit guarantees (no lost writes, no double fills, no split-brain) that the system checks across all simulated scenarios