Search works. Until you try to control it.
"We tried multiple search tools. None let us control what actually ranks — boosting one product broke everything else."
Most AI search systems are non-deterministic and hard to steer. You get relevance or control, never both. Inops changes that.
Inops makes AI search controllable.
Understand intent
We don't just match keywords. We understand what the user is actually looking for — so "kid longboard" finds beginner boards, not keychains.
Control ranking
You decide what ranks — not a black box model. Every result is explainable, every ranking decision is visible and adjustable.
Apply boost rules safely
Promote products for campaigns without breaking overall relevance. Boosts work as tiebreakers, not overrides.
Built for real ecommerce scale — not demos.
Start with the plugin — upgrade when you need more control.
Need more control over infrastructure and ranking?
Fast enough for real-time search
Intent-based results in ~1.5 seconds — even with hybrid AI + vector search. Fast enough for autocomplete-driven storefronts.
Handles growing catalogs
From small shops to 500K+ products without breaking relevance. Start with the plugin, scale to dedicated infrastructure.
Built for production use
Stable performance under real traffic — not just demo environments. Deployed on AWS with managed OpenSearch and redundancy.
Works with your stack — no rebuild required.
Plug into your existing storefront, backend, and infrastructure.
Platforms
Infrastructure
Deploy where you want. Keep full control.