Query Quotient is a consultancy for AI, agents and search. We help teams move AI from demo to production - and we bring something most AI shops don't: deep, hands-on Elasticsearch and OpenSearch engineering.
Most AI assistants and agents fail for the same reason: they answer from the wrong data. The model is rarely the bottleneck. Retrieval is.
We started out tuning relevance, latency and cost on large Elasticsearch and OpenSearch clusters. That experience - analyzers, hybrid ranking, sharding, evaluation - is exactly what RAG systems and tool-using agents need to be accurate at scale.
Today we apply it across three disciplines, with the same production mindset.
Retrieval-augmented generation, evaluation harnesses and LLM integration that turn your documents and databases into accurate, cited answers.
Tool-using agents and multi-agent workflows built on Claude, GPT and open models - with guardrails, observability and humans in the loop.
Hybrid, semantic and vector search on Elasticsearch, OpenSearch, Qdrant, Vespa and turbopuffer - architected, tuned and operated for relevance, latency and cost.
Abhilash B is an advisor at Query Quotient and an information retrieval and AI expert who holds patents in the field. Abhilash brings that retrieval depth to the search, RAG and agent systems Query Quotient builds for clients.
We agree on success metrics and build an evaluation set before writing code. Every change is measured against it.
The engineers who scope your project are the ones who build it. Small teams, short feedback loops, no hand-offs to juniors.
Claude, GPT, Gemini, Llama or Mistral; Elasticsearch, OpenSearch or a vector database. We recommend what fits your data, team and budget.
A demo proves an idea. We ship systems with guardrails, monitoring and cost controls that your team can run and trust.
We are an Elastic Verified MSP, an Elastic Technology Partner and an AWS OpenSearch Partner.
Abhilash B, an information retrieval and AI expert who holds patents in the field, is an advisor at Query Quotient. Every engagement is run by senior engineers - the people who scope the work are the people who build it.
Three disciplines: AI agents, applied AI and RAG, and AI search on Elasticsearch, OpenSearch, Qdrant, Vespa and turbopuffer. What connects them is retrieval - most AI systems that fail in production fail because they answer from the wrong data, and fixing retrieval is where our search engineering background matters most.
Query Quotient is based in the United States and works with clients worldwide, remotely.
Yes. Query Quotient is an Elastic Verified MSP, an Elastic Technology Partner and an AWS OpenSearch Partner.
In a free 30-minute call we will tell you honestly whether AI is the right tool, what it would take, and how we would measure success.
