COST AND CONTROL
Every agent has a cost per task.
As agents take on the work, AI spend grows with the business. Pathfinder shows what each workload costs and tests cheaper models on your own traffic. The AI Orchestrator applies the policy: which model each task goes to, with budgets and a record of every run. We start where the spend is largest: coding.
51%lower cost on a receivables build, at quality parity
35–70%lower cost on a workforce operations build, across five runs
4coding tools governed today: Claude Code, Codex, Copilot, Antigravity
From our published studies ↗01TWO TOOLS
Decide with Pathfinder. Enforce with the AI Orchestrator.
Pathfinder
Makes model savings defensible
- 01AttributeMap billed cost to team, user and workload.
- 02ReplayRun the same traffic against lower-cost models.
- 03MeasureCompare output quality and cost on the replay.
- 04GradePublish the evidence behind the choice.
AI Orchestrator
Puts policy in the developer workflow
- 01ConnectSync policy per developer, team or org.
- 02RouteSend each task to the approved model.
- 03RecordCapture tool, task, model, tokens and cost.
- 04GovernApply budgets, thresholds and versioned policy.
·GO DEEPER
Assessments, studies and tools.
Tokenomics Assessment→Read and reduce your AI token spend, inside your own cloud.Pathfinder for engineers→The pipeline stage by stage, in technical terms.Gemini 3.5 Flash vs GLM-5.2→A measured comparison of the true cost of a token.Research Economics→What a research workload costs, by model.Studies↗Model shootouts and orchestration studies.AI Tokenomics↗Model token cost on real provider prices.
Find out what your AI bill could be.
Tell us what you run and what you spend. We will show you where the cost per task comes down.