Enterprise-grade Agentic AI and Search in hours, not months.

Prism helps mid-sized companies deploy full-text, semantic, and hybrid search on top of their existing stack, with the UI, relevance controls, and AI layer already built in.

Deploy fast
Modern search stack in days, not quarters
Use what you have
Works with existing engines and data
Ready for AI
Retrieval layer built for RAG and agentic workflows
Search across documents, records, tickets, products, manuals, and internal knowledge...
Hybrid ranking across keyword + semantic matches
Facets and filters generated from business metadata
Agentic refinement using taxonomy and context graph
Semantic
Hybrid
Agentic
The problem

Search technically works. It just does not work well enough for AI-era expectations.

Mid-sized companies are trying to support better discovery, internal knowledge access, and AI workflows on top of fragmented systems. But retrieval quality, relevance tuning, and UI implementation remain too slow and too expensive.

Keyword-only search misses intent and returns low-trust results.
RAG and AI copilots fail when retrieval, taxonomy, and relevance are weak.
Teams waste months stitching together UI, ranking, filters, and tuning workflows.
Data lives across multiple systems, but users still expect one fast answer layer.
The solution

Prism is the implementation and UI layer that makes modern Agentic AI and search usable on top of existing infrastructure.

Search implementation layer
Prism sits on top of MongoDB Atlas, OpenSearch, Elasticsearch, Azure AI Search, and existing data systems so teams can launch enterprise-grade search without rebuilding their stack.
Built for the mid-market
Designed for companies that need better search, RAG, and agentic AI but do not have the budget or headcount for a long custom search program.
Configure, not code
Autocomplete, faceting, filtering, semantic retrieval, hybrid ranking, and admin controls come ready to deploy with minimal engineering lift.
What Prism includes

Everything teams usually end up stitching together themselves.

Instead of spending months building a custom search layer, Prism gives teams a practical foundation they can deploy, tune, and extend quickly.

Full-text, semantic, and hybrid search
Search-as-you-type and query suggestions
Filtering, faceting, boosting, synonyms, and ranking controls
Agentic search and conversational discovery
Ontology, taxonomy, and context-graph aware retrieval
Admin-friendly deployment and configuration
How it works

A simple path from fragmented systems to a modern search experience.

01
Connect
Plug Prism into your existing search engine and source systems.
02
Model
Configure search behavior, metadata, taxonomy, and business context.
03
Launch
Go live with a modern search UI and an agentic AI layer in days, not months.
Why this is different

Not another heavyweight search program.

Prism is not trying to replace your database, search engine, or business systems.

It is the layer that improves relevance, retrieval, search UX, and AI readiness on top of what you already have.

That makes it faster to adopt, easier to justify, and more practical for mid-sized teams.

Early proof

Built for real search and AI use cases.

Reference applications already built on Prism architecture
Designed for enterprise and industrial data environments
Strong fit for internal knowledge search, support search, document retrieval, and domain-specific AI workflows
Get early access

Join the Prism Beta

Be among the first to experience enterprise-grade search without the complexity.

Deploy in minutes Free beta access
Trusted by innovators

Companies already building with Prism