Lower cost, lower latency — same or better answers
We re-engineer how your system assembles context — what's retrieved, structured, cached and compressed — so you get the same quality, often better, at a fraction of the spend and latency.
When context is sloppy, you pay for it on every request — and the bill scales with usage, not value. Worse, bloated context quietly degrades answer quality.
Every lever that moves token spend and latency — measured against your real traffic, not a synthetic benchmark.
Chunking, embeddings, re-ranking and top-k tuning so the model sees the few passages that actually matter — not a haystack. The single biggest lever on both cost and answer quality.
Restructured prompts that say more in fewer tokens, in the format and ordering models respond to best.
Prompt, embedding and response caching so repeated and static context stops costing you on every call.
Summarization and distillation of long histories and documents that keep the signal and drop the filler.
Cheap, fast models for the easy turns; frontier models reserved for the calls that actually need them.
An eval harness that proves quality held or improved while cost dropped — so optimization is never a guess.
A measured loop — we never trade away quality to chase a cheaper bill. Every change is proven against an eval set.
Instrument real traffic to measure token spend, latency and quality today.
Find where tokens are wasted and where quality is actually won or lost.
Rework retrieval, prompts, caching and routing against an eval set.
Show cost and latency down with quality held or improved — with numbers.
Document the architecture and dashboards so the gains stick.
Provider-agnostic techniques that apply whether you're on Claude, an open model, or a mix.
We never ship a "cheaper" pipeline that quietly got dumber. Every optimization is validated against an eval set built from your real cases — so we can prove the bill went down while the answers held or improved. If a change costs quality, it doesn't ship.
Send us your current pipeline and a slice of real traffic. We'll show you where the tokens are going — and what they could be.