ASR
Word accuracy · Entity fidelity · Speaker overlap
01 / Find the failures
Human evals for nuance. Synthetic evals for scale. Production observability for failures you did not anticipate.
TTS
Pronunciation · Prosody · Human preference
S2S
Turn-taking · Response timing · Task completion
Audio understanding & video
Sound events · Audio-video alignment · Scene understanding
02 / Reconstruct in environments
Scroll to explore See what happened, turn by turn.
Keep audio, video, tool calls, and database snapshots together at each step of a failed interaction.
- Synchronized multimodal traces
- State snapshots
Illustrative scenario
Return to the moment it went wrong.
Restore the captured state in a simulation. Recreate the persona, timing, and conditions around the failure.
- Configurable personas & scenarios
- Step-by-step reconstruction
Illustrative scenario
Give the model a world to act in.
Stateful environments mirror your company's databases, tools, and policies, with configurable acoustics and permissions.
- Company tools & databases
- Resettable environment state
Illustrative scenario
03 / Run RL loops
Design and run RL loops in the same environments, with tasks and rewards grounded in observed failures.
01
Turn failures into training tasks
02
Run rollouts with explicit reward criteria
03
Update the model and repeat
04 / Check for regressions
Rerun reusable evals and checks on each candidate. Catch regressions on known tasks before release.
01
Keep failed cases in your evaluation suite
02
Compare candidates against the same checks
03
Feed new production failures into the loop