The
Intelligence Layer
For
Agentic Engineering.

Trace every human–agent delivery, surface bottlenecks and errors, and fix them automatically.

Used by teams at
MicrosoftMicrosoft
GoogleGoogle
AmazonAmazon
NVIDIANVIDIA
MetaMeta
AppleApple
AdobeAdobe
JetBrainsJetBrains
AlibabaAlibaba
TencentTencent
ByteDanceByteDance
Ant GroupAnt Group
XiaomiXiaomi

Agents are your fastest-growing engineering team.

But you can’t see what they did, what it’s costing you, where it went wrong, or how to fix it.

Software delivery shouldn’t be a black box.

Trellis Traces — a replayable delivery timeline showing every task, agent, and tool call with token cost and a flagged context miss
Trellis Intelligence — failure clusters, token efficiency trends, team benchmark, and ROI cost attribution per skill and tool
Trellis Automation — a fix pipeline turning a context-miss finding into a knowledge patch, eval gate, and monitored rollout

Quantifiable Impact

51×
Leaner on repeat file reads
2.2×
Smaller on large tool outputs
22.8%
Less context per session
How much are you burning on tokens you can’t see?
Monthly AI subscription spend $200
$5$5,000
Share of quota you actually use 100%
10%100%
Estimated savings
$548 per year $46 a month

Code is cheap, trust is expensive.

Catch every error, fix it automatically, and let the gains compound.

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