EXPERT-LED · FOUNDER-DELIVERED
THE AI RACE WILL HAVE WINNERS AND LOSERS.
TRUST DECIDES WHICH IS WHICH.
Users trust AI that answers from the right facts. That is retrieval, and retrieval is measurable: Recall@10 and nDCG@10. We move those numbers for a living. We prove every move.
NO INTRO CALL REQUIRED · NDA ON REQUEST · SANITIZED SLICES WELCOME
Numbers, with receipts: Ingot-8B-R3 scores 75.98 Mean (Task) on English MTEB v2, rank #1 as of July 2026, independently verified on the public MTEB leaderboard. Latency is P50 end to end on owned NVIDIA DGX hardware, methodology published.
AGAINST INTEREST · WHY YOU CAN BELIEVE THIS
WE BUILT THE #1 EMBEDDING MODEL IN THE WORLD. THE MODEL IS NOT YOUR BOTTLENECK.
That sentence costs us money every time a prospect reads it, which is exactly why you can believe it. Recall quality lives in the whole system: how documents are parsed, how structure survives ingestion, how chunks form, how queries are read, how results are ranked, and whether any of it is honestly measured. A world-class vector is necessary. It has never once been sufficient.
Every vendor has to tell you their thing solves your problem. We built the best thing, and we are telling you: things do not solve this problem. Experts do.
TRANSMISSION · FROM THE FOUNDER
THE PERSON ON THIS PAGE IS THE PERSON IN YOUR REPO.
I am Jonathan Corners. Thirty years of enterprise systems, then Ingot, the model that tops MTEB. There is no sales team here and no delivery bench behind a curtain. Send a sample and I read it. Engage and I do the work.
I will find where your retrieval loses answers, I will show you exactly what each miss costs, and the same yardstick that found the problem will prove the fix.
SCOPE · WHERE ANSWERS GET LOST
WHERE ANSWERS GET LOST. AND HOW WE GET THEM BACK.
PIPELINES THAT SURVIVE THEIR OWN CORPUS.
Naive top-k over flat chunks works in the demo and dies in production. We design and tune the full pattern range: standard vectorization done right, hierarchical enrichment, RAPTOR-style recursive abstraction, hybrid dense plus lexical retrieval, and reranking that earns its latency.
YOUR ANSWERS LIVE IN TABLES. VECTORS WERE BUILT FOR PROSE.
Metrics, ledgers, and time series do not embed like paragraphs, and pretending they do is why a question about Q3 churn returns a paragraph near the number instead of the number. We make tabular and temporal data first-class citizens of retrieval.
CODE IS NOT TEXT.
Splitting a function in half produces context that compiles nowhere. We ingest code the way compilers read it: AST-aware chunking that keeps functions, signatures, and call structure intact, so retrieval returns context that runs.
DOCUMENTS HAVE BONES. MOST INGESTION CRUSHES THEM.
Headings, sections, tables, and cross-references are the difference between an answer and a guess. We parse with docling and enrich with ARC, our proprietary enrichment layer, so hierarchy survives all the way into the index.
EVALS THAT WOULD SURVIVE PEER REVIEW.
Recall@10 and nDCG@10 on golden sets. LLM judges calibrated against position, verbosity, and self-preference bias. Locked baselines, so every improvement is a delta, not an anecdote. This is the discipline the rest of the work stands on. Unmeasured work is redecorating.
THE MOTION · PROOF BEFORE PROCUREMENT
YOU RISK A SAMPLE. WE RETURN A NUMBER.
A SLICE OF YOUR CORPUS. YOUR HARDEST QUERIES.
A sanitized slice of your corpus and 10 to 50 real queries, the ones your system gets wrong. NDA first if you want one.
A SCORED BASELINE, IN DAYS.
Your Recall@10 and nDCG@10, the questions your system answered wrong, and what each miss costs in your terms, not ours.
FIXED SCOPE. NAMED PATH. SAME YARDSTICK.
An engagement with the remediation path named up front. Every change is measured against your locked baseline. You see the same numbers we do.
RAG-OPS, THE STANDING SERVICE.
Continuous evaluation and regression watch across every model, prompt, and corpus change. Retrieval quality decays silently. We watch the gauges.
SPECIALIZED · BY DESIGN
WE DO ONE THING.
No transformation practice. No app-dev bench. No fourteen service lines. Retrieval and recall, all day, every day, at the top of the only public scoreboard that exists for the craft. Specialization is why the receipt exists. Send us your hardest corpus and watch.
PROOF · NOT PROMISES
SEND US A SAMPLE.
You get numbers and the answers you are missing. Then you decide.
NO INTRO CALL REQUIRED · NDA ON REQUEST · SANITIZED SLICES WELCOME