Enterprise Search

AI-powered enterprise search unifies data for fast, accurate, and personalized information retrieval.

Business impact

• Employee Productivity — Reduces time spent searching, enabling focus on core tasks and faster outcomes
• Search Accuracy — Delivers more relevant results, improving user satisfaction and task success rates
• Operational Efficiency — Streamlines workflows by providing timely, contextual information across systems
• User Engagement — Enhances adoption and usage by providing intuitive, personalized search experiences
• Time to Insight — Accelerates decision-making by quickly surfacing critical, verified information

Data requirements

• Enterprise documents and files (Text) — Indexed to enable semantic and keyword search across unstructured content
• Emails and chat logs (Text) — Used to capture conversational context and historical knowledge
• Databases and CRM systems (Structured) — Structured data providing authoritative business information for retrieval
• Multimedia content (images, videos) (Image, Video) — Processed for multimodal retrieval to enrich search results
• User interaction logs (Numeric, Text) — Analyzed to personalize search results and improve relevance over time

AI methods and techniques

• Predictive AI — Anticipates user intent and suggests relevant results proactively
• Generative AI — Synthesizes answers from retrieved documents to provide concise responses
• Agentic AI — Understands user goals and orchestrates complex search plans across systems
• Symbolic AI — Applies rules and logic to enforce governance and data access policies

AI models and model families

GPT-4o, Claude, BERT, Titan Embeddings, OpenAI GPT, Cohere Rerank 3.5

Industries

Real-world evidence

9 documented case studies on record.

Companies using this: Adobe, BTGroup, Glean, KPMG, OpenAI, Pine Ridge Solutions, Sana, Spotify Technology, Tursio.