Overview
Enterprise Search and Document Intelligence
See how Needl.ai unifies scattered company knowledge into one searchable layer. Watch agentic AI answer plain-language questions with cited results across documents, databases, and internal systems.
Enterprise Search and Document Intelligence

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Needl.ai gives enterprises one secure, searchable layer for all their knowledge. Information is scattered across documents, systems, and inboxes, and finding it wastes hours every week. Needl.ai brings it together and makes it answerable.
Agentic AI reads and indexes both structured and unstructured data across your enterprise, then lets anyone ask a question in plain language and get a precise, cited answer. Every answer traces back to its source, so teams trust what they find and act on it.
Needl.ai runs entirely inside your own AWS cloud. Your data stays under your control and is never used to train external models, which makes enterprise-wide knowledge search work for even the most regulated, security-conscious teams.
Teams can also query enterprise databases in plain language and get answers directly, without technical skill. Structured data that used to sit locked away becomes something anyone can use.
What you can do:
- Unify enterprise knowledge: Index and search across documents, legacy systems, databases, emails, and collaboration tools from one place.
- Ask in plain language: Get precise, cited answers with no keywords, complex queries, or technical skill required.
- Query databases with text-to-SQL: Ask questions of enterprise databases in natural language and get answers without SQL.
- Reuse institutional memory: Surface insights from past documents, reports, and deliverables so teams stop redoing work.
Needl.ai delivers high precision on complex documents through a purpose-built retrieval architecture, without traditional vector databases, and works with enterprise-approved language models inside your own infrastructure. It is part of the Needl.ai private enterprise AI platform, which also powers report automation, market intelligence, and decision intelligence. Available as SaaS deployed on AWS
Highlights
- Enterprise knowledge layer: Aggregate and index knowledge across documents, legacy systems, databases, emails, and collaboration tools into a single searchable intelligence platform.
- Knowledge reuse and institutional memory: Surface insights from historical documents, reports, and deliverables to avoid redundant research across teams.
- Natural-language database queries: Ask questions of enterprise databases in plain language, without requiring technical expertise.
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Dimension | Description | Cost/12 months |
|---|---|---|
Seats | Number of monthly needl.ai users | $25,000.00 |
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