Know where your AI spend
comes from
Track tokens, cost, and latency for model calls made through Omni, then break usage down by team, person, model, workload, or individual request.
Analyze usage by date, team, and model
Compare token consumption and cost over time, then open the request records behind any change.
OmniUsage analytics
Token consumption by date
Updates with the filters above
Usage by workload
Share of tokens in the selected view
Recent model calls
Request-level audit trailUnderstand usage at every level
Start with company-wide totals, then break usage down by team, model, workload, person, or individual request.
One ledger for Omni model calls
Commercial APIs and self-hosted models appear in the same view with input tokens, output tokens, model, latency, and cost.
Usage tied to your organization
Break usage down by function, department, team, person, model, or workload instead of working backward from a provider invoice.
Request-level audit records
Review the model, token counts, latency, cost, user, and workload behind an individual request, then export the records you need.
Comparable usage data
Compare models and workloads using the same usage dimensions so teams can make model decisions with their own operating data.
Turn visibility into better decisions
Use detailed usage and cost data to understand where AI spend is going and where a different model may make sense.
Compare model usage
See how token consumption, latency, and cost differ across the models handling each kind of workload.
Find costly workloads
Identify the teams and recurring tasks responsible for the largest share of tokens and model spend.
Review individual requests
Move from an aggregate trend to the request records behind it when finance, security, or engineering needs an explanation.
Start tracking model usage with Omni
Join early access for Omni Cloud, or run the open-source deployment in your own environment.