Find Anything Instantly with AI
Transform how your organization discovers information. AI-powered search that understands context, intent, and delivers precise answers instantly.
Enterprise-Grade AI Search
Intelligent search across your entire organization
- Natural language queries
- Context awareness
- Intent recognition
- Synonym matching
- Multiple repositories
- File systems
- Databases
- Cloud storage
- PDF extraction
- Image text search
- Table understanding
- Metadata search
- Role-based results
- Data governance
- Audit trails
- Compliance ready
Advanced Search Intelligence
Features that revolutionize information discovery
Instant Answers
Get direct answers, not just links
Multi-language
Search in any language, get results in yours
Smart Ranking
AI learns what's most relevant to you
Query Suggestions
Intelligent autocomplete and recommendations
Visual Search
Search using images and diagrams
Analytics Dashboard
Insights into search patterns and gaps
Real-World Applications
How organizations transform with AI search
Fortune 500 company reduces information retrieval time by 90%
- Unified search across 50+ systems
- Multi-language document search
- Instant expert location
Support team resolves tickets 75% faster with AI search
- Instant knowledge base access
- Similar case matching
- Auto-suggested solutions
Connect Everything
AI search that works with all your data sources. Connect databases, file systems, cloud storage, and applications to create a unified search experience.
All Data Types
Secure Access
Real-time Index
AI Ranking
Search Use Cases
AI search for every business need
Enterprise Knowledge
Customer Support
Research & Legal
Product Documentation
Common Questions About AI-Powered Search
Everything you need to know about implementing intelligent search
1How is AI-powered search different from traditional keyword search?
Traditional keyword search matches exact words and phrases, often missing relevant results if terminology differs. AI-powered search uses natural language processing and semantic understanding to comprehend the meaning and intent behind your query. It recognizes synonyms (searching "car" finds "automobile" and "vehicle"), understands context (distinguishing "apple" the fruit from "Apple" the company), and handles complex questions. Users can search conversationally—asking "What are our Q3 sales targets for the eastern region?" instead of crafting Boolean queries like "Q3 AND sales AND targets AND eastern." The AI also learns from user behavior, improving result ranking over time to surface the most relevant documents first.
2Does AI search work with documents in multiple languages?
Yes! AI-powered search supports multilingual documents and cross-language search. You can search in English and find relevant results in Spanish, French, German, Japanese, and 90+ other languages. The AI understands semantic meaning across languages, so searching for "contract terms" in English will surface documents about "condiciones del contrato" in Spanish or "契約条件" in Japanese. Results can be displayed in your preferred language with automatic translation. This is especially valuable for global organizations with multilingual document repositories, enabling worldwide teams to access information regardless of the original document language. The search engine also handles mixed-language documents where content switches between languages mid-document.
3How does AI search handle security and permissions?
Security is built into every search query. The AI search engine respects your existing access controls and permissions at the document, folder, and field level. When a user searches, results are filtered in real-time based on their permissions—they only see documents they're authorized to access. This happens transparently without requiring duplicate permission systems. The search index maintains security metadata from source systems (Active Directory, LDAP, application-level permissions) and applies them during every query. Administrators can configure additional search-specific controls like department-based filtering, confidentiality level restrictions, and time-based access windows. All search queries and result views are logged for compliance auditing, creating a complete trail of who searched for what and which documents they accessed.
4Can AI search find information inside images and scanned documents?
Absolutely! AI search includes optical character recognition (OCR) to extract text from scanned documents, PDFs, images, diagrams, and screenshots. It can search text within charts, tables, forms, handwritten notes, and even text embedded in complex layouts like architectural drawings or engineering schematics. Beyond basic text extraction, the AI understands table structures and relationships, recognizes logos and symbols, and can answer questions about visual content. For example, searching "Q3 revenue by region" will find relevant data even if it's displayed in a chart image rather than text. The search also indexes image metadata (camera info, location, date) and can perform visual similarity searches to find images that look similar to a reference image.
5How long does it take to set up AI search for our organization?
Implementation timelines vary based on data volume and system complexity. For small organizations (under 10,000 documents, 1-2 data sources), basic AI search can be operational within 1-2 weeks including initial indexing, permission mapping, and user testing. Medium organizations (up to 100,000 documents, 5-10 data sources) typically require 3-6 weeks for connector configuration, index optimization, and relevance tuning. Large enterprises (millions of documents, 20+ systems) should plan for 2-4 months to properly integrate all sources, configure advanced features, and train the AI on organization-specific terminology. Initial indexing happens in the background without disrupting current operations. Users can start searching as soon as their accessible documents are indexed, with additional sources added incrementally. Most organizations see productivity improvements within the first week of deployment.
6What kind of analytics does AI search provide?
AI search includes comprehensive analytics dashboards showing search patterns, popular queries, result click-through rates, and failed searches (queries that returned no results or where users didn't click any results—indicating relevance problems). Administrators can identify knowledge gaps by analyzing frequent searches that yield poor results, suggesting areas where additional documentation is needed. Usage metrics reveal which departments and users rely most heavily on search, what content types are most accessed, and peak search times for capacity planning. The analytics also track AI confidence scores—how certain the AI was about result relevance—helping tune the search engine for better accuracy. Custom reports can monitor compliance-related searches, track access to sensitive documents, and measure search ROI by correlating search usage with productivity metrics.
Transform Information Discovery Today
Join organizations using AI to unlock the value of their data