How We Work
We start with your content and your users, not a generic checklist — what's actually searchable today, what's missing, and what "good" looks like once it works. From there we plan the pieces that make search and AI hold together: indexing and relevance tuning, taxonomy and metadata, and — increasingly — how retrieved content gets grounded into AI-generated answers so they stay accurate and traceable back to a source.
These projects rarely sit with one team. Data, infrastructure, and business stakeholders all have a stake, and we work directly with all of them rather than handing off a strategy document and disappearing — the same team stays through design, build, and tuning.
What We Cover
Search Relevance & Infrastructure
Making sure the right results surface, fast, at scale.
- Search architecture, indexing, and topology planning
- Performance, fail-over, and load-balancing
- Relevance tuning, faceted search, and auto-complete
- Search analytics — real-time insight into what your users are actually searching for
AI & RAG Solutions
Building the AI layer on top of what your search already knows.
- AI/RAG solution design and implementation
- Grounding retrieved answers in traceable, up-to-date sources
- Taxonomy planning and metadata strategy for better retrieval
- User experience — from prototypes to production
Let's Scope Your Project
Tell us what your content looks like today and what "good" would look like once search and AI are working. We'll tell you honestly what it takes to get there.