Developer tools
FORTUNE//GATEWAY
AI execution, intelligence, improvement and assurance
- Category
- Developer tools
- Stage
- Growth
- For
- Teams building and operating production AI applications and agents
About
Execute. Observe. Improve. Assure. The control plane between your AI applications and the models they use.
Features
- Problem
- Teams need to execute requests across models, context, tools, and agents.
- How it works
- The Runtime control plane manages models, routing, context, tools, and agents.
- Result
- Teams can operate AI requests through one controlled layer.
- Why
- A single gateway centralizes the execution chain.
- Problem
- AI failures, latency, spend, and outcomes are difficult to diagnose.
- How it works
- The Observation control plane records traces, per-call cost, latency, outcomes, and errors for every execution.
- Result
- Teams can inspect full request traces and compare successful, degraded, and blocked runs.
- Why
- Execution-layer records retain the context needed to investigate results.
- Problem
- Observed issues do not automatically translate into measurable improvement.
- How it works
- Gateway provides an improvement loop from experience and diagnosis through candidates, experiments, and evaluation.
- Result
- Teams can measure whether changes improve AI performance.
- Why
- Traces provide evidence for identifying and testing changes.
- Problem
- Teams need evidence that AI behavior remains within defined boundaries.
- How it works
- The Assurance control plane supports behavioural contracts, threat testing, policy, regression checks, assurance runs, evaluation gates, and tool governance.
- Result
- Teams can test and prove safety and quality controls before users encounter regressions.
- Why
- Production changes require checks before release.
Screenshots
