Independent retrieval diagnostics, anchored in Designing Hybrid Search Systems.
Fixed-fee, time-boxed evaluation of your retrieval pipeline by the author of DHSS. Two engagements, two buyers, one methodology.
Pick your engagement
Two productized diagnostics, each fronted by a sub-$10K fixed-fee engagement.
For AI Startups
$7,500
Independent retrieval pipeline audit with bootstrap-CI metrics and a runnable Python notebook you keep.
For E-commerce
$7,500-$9,500
Independent NDCG@10 + conversion-correlated relevance diagnostic against your existing search vendor.
Why TensorOpt
Statistical rigor
Bootstrap confidence intervals and paired significance tests on every retrieval metric. Eval-tooling vendors publish NDCG, MRR, and Precision@k as features; I apply classical IR statistical discipline on top.
Independent third-party
Not a tooling vendor scoring against its own SaaS. Outside-counsel-style assessment of whichever eval stack and search vendor you already run.
Practitioner-authored
Methodology grounded in Designing Hybrid Search Systems (Leanpub) and the forthcoming Measuring Search. The runbook is the book, productized.
The methodology, published
Designing Hybrid Search Systems
The practitioner reference on chunking, embeddings, hybrid retrieval, reranking, and evaluation. Available on Leanpub; every TensorOpt audit applies the same methodology, productized.
Not sure which engagement?
Book a 30-min discovery call. I'll route you to the right engagement.