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Work that reports its numbers.

What we publish is the engineering: the problem, what we built, and the measured outcome. Four engagements, written up the way we report to clients.

AI Engineering · Knowledge Systems

A production AI agent, used daily by 150+ people

An enterprise team’s document-grounded agent — cited answers, PII sanitization, evaluations — that survived contact with real users.

10x data-ops productivity · 90% lower token cost
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Cloud Cost Optimization · Data Platforms

~$10K a month off a cloud bill

A line-by-line audit found the waste in query patterns, not contracts — and the fixes made the platform faster as well as cheaper.

Sustained monthly savings
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Data Engineering

Six hours to thirty minutes

A nightly pipeline that owned the whole night, rebuilt with distributed processing and workload planning until it fit in a coffee break.

Pipeline runtime, billions of records
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AI Operations (LLMOps)

90% fewer tokens, same accuracy

Caching, compaction, and model routing — unglamorous engineering, proven against an evaluation suite, that cut a production agent’s cost by 90%.

AI operating cost reduction
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Want the version with your problem in it? That’s the free Blueprint — your situation, examined with the same discipline, before any build is proposed.

Start with a fit call.

Thirty minutes. Bring the problem as it actually is — the stalled pilot, the bill, the spreadsheet everyone quietly maintains. We’ll tell you honestly whether we’re the right builder for it.

You leave with a straight answer on fit — and if it fits, a free Blueprint to follow.