The answer is in your business. Make it easier to find.
Connect the knowledge spread across documents, portals and business systems. Ushyaku builds enterprise AI search that helps people ask natural questions, find relevant information and inspect the sources behind an answer.
Less time hunting through folders. More context for the decision in front of you.
Bring the right information into the conversation
A policy may live in one repository, a product specification in another and the latest procedure in a shared workspace. Finding all three is difficult enough; understanding which version applies takes longer.
We build search and retrieval-augmented generation systems around the sources your people use. The work covers ingestion, retrieval, permissions, freshness and answer evaluation. Where the available evidence is incomplete, the experience should make that limitation visible.
A complete enterprise search foundation
Source connection and indexing
Bring selected repositories into a searchable index, with document structure, metadata and update rules that suit the source material.
Semantic and hybrid search
Combine meaning-based retrieval with keyword matching and filters to support both natural questions and precise business terminology.
Grounded answer experiences
Present synthesized answers with supporting references, allowing users to inspect the evidence and return to the original material.
Permissions and quality controls
Apply access filters and test retrieval relevance, answer support and freshness against representative questions and user roles.
Useful answers need dependable retrieval
Content-aware design
Document structure, terminology and the questions people ask inform how information is prepared and retrieved.
Access considered throughout
The architecture accounts for source permissions, search indexes and the context sent to the model.
Visible evidence
References make it easier to check an answer and understand which source supports it.
Quality beyond the demo
Tests include difficult questions, missing information and content changes as well as straightforward queries.
Practical use cases for Enterprise AI Search
Policy and procedure search
Find guidance with references to the relevant documents and versions.
Technical knowledge access
Retrieve specifications, troubleshooting guidance and product information.
Customer-facing knowledge
Help customers find answers within approved product and support content.
Frequently Asked Questions
Start with the questions your teams keep asking
Choose a knowledge domain and a set of recurring questions. We will help define a search experience and evaluate it against the information available.
Explore related expertise
Document Intelligence
Prepare useful information from complex documents.
Explore Document Intelligence
Data Engineering
Improve the quality and availability of underlying information.
Explore Data Engineering