Use Case Overview
Off-the-shelf search often misses context, especially in technical or regulated industries. We train embedding models on your documents—reports, tickets, specs—so employees can find relevant information using natural language, even when wording doesn’t match exactly.
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Features
Search that understands your data, not just keywords.
Custom-trained embeddings
Models trained on your internal documentation, vocabulary, and formats.
Semantic search integration
Results ranked by meaning, not exact keyword matches.
Cross-format support
Search across PDFs, slide decks, spreadsheets, emails, and tickets.
Scalable and secure
Built to handle large repositories with role-based access control.
Value for Users
Get to the right information faster, with less frustration.
Less time spent searching
Employees can find specific answers without needing exact phrases.
Easier access to institutional knowledge
Unlock buried insights from past work, reports, or decisions.
Value for the Company
Make knowledge work for your business—not against it.
Improved productivity across departments
Faster answers = faster execution.
Better use of existing documentation and systems
Extend the value of your internal content without replacing current tools.
