01 / Trace
See the whole run
Map calls, tokens, cost, latency, retries, failures, and workflow stage.
Residual Forge helps AI-heavy teams measure cost, protect output quality, and choose the right model for each stage—across cloud and local AI.
ONE WORKFLOW · UP TO 3 PROVIDERS · NO PRODUCTION CHANGES
Synthetic proof harness · not a customer result
Quality-gated routing experiment
Baseline gates
6 / 6
eligible
Candidate gates
5 / 6
rejected
Candidate tokens
904
24% fewer
Measured on identical cases
Tokens and latency captured per run
Lower-resource route tested
24% fewer tokens than baseline
Quality gate enforced
One mandatory failure blocked the change
Start with evidence
Measure the workflow you already have. Change nothing in production. Leave with an implementation decision your team can inspect.
01 / Trace
Map calls, tokens, cost, latency, retries, failures, and workflow stage.
02 / Test
Run relevant routing, caching, prompt, retry, or local-model experiments.
03 / Decide
Accept only candidates that preserve mandatory quality, safety, and reliability.
Founding offer
The first two qualified teams can purchase the diagnostic for $750. It includes a trace, evaluation baseline, controlled experiments, scorecard, prioritized backlog, rollback notes, and a findings walkthrough.
View scope and fitBeyond the diagnostic
Approved routing, caching, observability, and reliability changes with rollback.
Controlled inference, private retrieval, permissions, citations, evaluation, and runbooks.
A future provider-neutral layer for usage, cost, quality, routing, and budget intelligence.
Founder
Srikant Voruganti brings more than fifteen years across enterprise technology, platform architecture, and responsible AI.
Residual Forge / founding cohort
Tell us which AI workflow you run repeatedly and where cost, latency, or quality is creating friction.