Platform-agnostic AI engineering

Make every AI call earn its keep.

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

candidate rejected

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

DONE

Lower-resource route tested

24% fewer tokens than baseline

TESTED

Quality gate enforced

One mandatory failure blocked the change

BLOCKED
Cost + latency tracingQuality before savingsPrivate deployment readyNo vendor lock-in

Start with evidence

A bounded diagnostic before a costly rebuild.

Measure the workflow you already have. Change nothing in production. Leave with an implementation decision your team can inspect.

01 / Trace

See the whole run

Map calls, tokens, cost, latency, retries, failures, and workflow stage.

02 / Test

Compare on equal cases

Run relevant routing, caching, prompt, retry, or local-model experiments.

03 / Decide

Enforce the gate

Accept only candidates that preserve mandatory quality, safety, and reliability.

Founding offer

Five working days. One workflow. Decisions backed by evidence.

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 fit

Beyond the diagnostic

A practical AI engineering company—not another wrapper.

Optimization implementation

Approved routing, caching, observability, and reliability changes with rollback.

Private local AI systems

Controlled inference, private retrieval, permissions, citations, evaluation, and runbooks.

Forge Meter

A future provider-neutral layer for usage, cost, quality, routing, and budget intelligence.

SV

Founder

Enterprise architecture discipline, applied to AI.

Srikant Voruganti brings more than fifteen years across enterprise technology, platform architecture, and responsible AI.

Meet Srikant

Residual Forge / founding cohort

Know which AI costs are buying quality—and which are just waste.

Start a fit conversation →

Tell us which AI workflow you run repeatedly and where cost, latency, or quality is creating friction.