Search, retrieval and LLMs that hold up in production.
InferSense Labs helps teams build search, RAG and domain-tuned language models that work for real users. Founder-led by Monadhika Sharma, who spent 12 years building search in Silicon Valley at Walmart, Pinterest, Roblox and Shopify.
Where we help most.
A deliberately narrow focus on the hardest parts of AI products: finding the right information, ranking it well and proving it worked.
Search relevance & ranking
Fix the queries that return the wrong results: query understanding, hybrid retrieval and learning to rank, measured end to end.
Learn moreRAG & retrieval
Make LLM answers right by fixing what they retrieve: chunking, embeddings, hybrid search, reranking and RAG evals.
Learn moreLLM pre-training & fine-tuning
Make an open model fluent in your domain with DAPT, SFT and DPO, from data curation to a model you can ship.
Learn moreAI & search evaluation
Know whether a change helped: offline metrics, LLM-as-judge pipelines and A/B tests your team can trust.
Learn moreMeasure first. Then build.
Every engagement follows the same discipline, whether it's a two-week audit or a six-month fractional role.
Diagnose
Study your data, queries and current system to find where quality is really lost and which fix is worth the most.
Measure
Build the evaluation set and metrics before changing anything, so every later decision has evidence behind it.
Build
Ship improvements with your engineers, in your stack, prioritised by measured impact.
Hand off
Leave behind documentation, runbooks and a team that can keep improving the system without us.
Shaped around your team.
Every engagement is custom-scoped to your problem, stack and team. Pricing is tailored too, and we'll work it out together on a free intro call.
Advisory retainer
Senior guidance for teams with strong engineers who want a second brain on hard calls.
- Regular working sessions
- Design and experiment reviews
- Async questions between sessions
Fractional ML lead
A part-time senior ML lead inside your team, owning direction and helping build.
- Roadmap and architecture
- Hands-on prototyping and reviews
- Hiring and mentoring
Scoped project
A defined problem with a clear deliverable and a handoff your team can run with.
- Relevance or RAG audits
- Evaluation harness builds
- Fine-tuning programmes
Senior expertise, directly.
InferSense Labs is led by Monadhika Sharma, who built relevance for Walmart.com and the first Walmart Grocery search engine, led search quality at Pinterest, and led search and recommendations at Roblox. Monadhika then led the ML team at Vantage Discovery, building an LLM-powered search engine, through Vantage's acquisition by Shopify, and went on to train commerce foundation models on Shopify's Foundation Models team.
Every engagement is led by Monadhika personally, from the first call to the final handoff.
Have a search or LLM problem worth solving?
Tell us what you're building. You'll talk directly with the founder, not a sales team. If we're not the right fit, we'll say so and point you to someone who is.