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Branemind
AI observability

BM Watch

AvailableEvidence: General availability announced on this site

The short answer

BM Watch puts quality, cost and behaviour on one timeline per request. It traces retrieval, tool calls and generations, accounts cost per request, and alerts on drift and quality regressions before customers feel them.

BM Watch ties together quality, cost, and behavior in one timeline. Drift, cost spikes, broken tools, all caught before customers feel them. Most agent incidents turn out to be tool incidents, which is why the trace covers tools as closely as it covers generations.

What it does

  • Per-request cost & latency
  • Drift & quality alerts
  • Tool & retrieval tracing
  • Model & prompt versioning

What it connects to

  • BM Agents and third-party agent runtimes
  • Model provider APIs
  • Existing logging and APM stacks
  • Alerting and on-call tooling

Controls

  • Traces retained under your retention policy
  • Access scoped by role
  • Prompt and model versions pinned to each request
  • Cost budgets with alerting thresholds
Drift alerts
Real-time
Cost insight
Per request

Figures come from delivered engagements and depend on volume, data quality and process maturity. The measurement window behind any of them is available on request.

Seen in production

Use casePlatform

What to instrument before your first agent goes live

Traces, evals and cost caps are not a phase two. Here is the minimum you need in place on the day you put an agent in front of a customer.

Issues caught pre-customer
83%
Mean time to diagnose
< 10 min
Cost variance
±6%
Read how it was built

Questions we get asked

Does BM Watch only work with your agents?

No. It instruments third-party agent runtimes too. The instrumentation guide is published as a use case on this site.

Next step

Review your path to production