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Deploy AI agents reliably in
[cyber-physical systems]
with continual learning

Trace, evaluate, and improve AI agents working over cyber-physical systems. Track failures, close reliability gaps, and turn every deployment into a learning loop.

>
forsy init → TRack CPS-AGENT
<
[FSY.
02
/
11
]
> OPERATION

/ AI observability and evals built for cyber-physical operations /

Get Started
18.6k
Traced Events
18
Critical Issues
94.2%
Pass Rate
45s
Median Run Time
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Chart After
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[FSY.
04
/
11
]
> CONTINUAL

/ The full lifecycle of cyber-physical agents /

Get STARTED
// 001
Monitor AI behavior across cyber-physical operations in real time
Live observability
icon pixelicon
// 002
Evaluate whether agent decisions hold up under real conditions
Decision integrity
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// 003
Surface recurring failure modes across agents and deployments
Failure intelligence
icon pixelicon
// 004
Build lasting reliability from every deployment
Continual learning
icon pixelicon
// 001
// 002
// 003
// 004
icon pixel
Live observability
Monitor AI behavior across cyber-physical operations in real time
// 001
// 002
// 003
// 004
icon pixel
Decision integrity
Evaluate whether agent decisions hold up under real conditions
// 001
// 002
// 003
// 004
icon pixel
Failure intelligence
Surface recurring failure modes across agents and deployments
// 001
// 002
// 003
// 004
icon pixel
Continual learning
Build lasting reliability from every deployment
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Enter the New Agent Economy

The learning loop for
[AI agents]
operating in the real world

get started
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