Search shouldn't take a team
For years, I’ve watched talented search engineers move from company to company, rebuilding much of what they’d built before. The data changes, but the core problems stay the same.
Relevan is a database engine as a service, built for AI agents. You bring your data, and we handle the search infrastructure and relevance tuning. We’re building a system that learns what good results look like for your company, so great search doesn’t require hiring a search team.
Who’s it for?
Relevan is for teams building agentic search into their products and workflows. Our interfaces provide rich feedback that helps search agents better refine their search.
Take recruitment for example. You have thousands of candidates in your database and a position to fill. You run a few searches, find promising candidates, and recommend them. One gets hired.
Then what? For the next position, you start again.
With Relevan, that hire becomes feedback. We use that feedback to identify what made that candidate a better match than others. Now instead of starting the next search from scratch your database engine is learning how to surface better candidates faster. That means less time looking and more time closing.
How do we do it?
Our secret sauce is our learning loop we’ve integrated into our platform. Searches and results are recorded. Your app sends feedback through our APIs - clicks, successful outcomes, the ‘wins.’
That search history is replayed to help us test our tuning changes. Would a different ranking bring useful results closer to the top? Would recognizing the topics in queries and documents improve the matches?
We run dozens of tests behind the scenes to find which changes improve search. Your data, users, and goals guide the tuning. The best part is it happens automatically. Our goal is to give you the relevance work of a search team at a fraction of the cost.
Wondering whether Relevan could help your team? Try our free tier, or book a call to explore how we can help your agents find better results with fewer searches.