Noqood offers an AI‑powered platform that automatically summarizes, categorizes, and extracts key points from unstructured text such as documents, emails, and chat logs. Using fine‑tuned large language models, it provides natural‑language query capabilities and delivers structured outputs via a web UI and RESTful API, enabling enterprises to integrate insights into BI tools, CRMs, and knowledge bases.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations that need to extract insights from large volumes of unstructured text often lack tools that can automatically summarize, classify, and generate actionable information at scale.
Solution
Noqood provides an AI-powered platform that processes unstructured documents, emails, and chat logs to deliver concise summaries, topic categorization, and key‑point extraction. The system leverages large language models fine‑tuned for enterprise use, enabling users to query text corpora in natural language and receive structured outputs that can be integrated into existing workflows. Results are delivered via a web interface and API, allowing seamless incorporation into business intelligence tools, CRM systems, and knowledge bases.
Target Audience
Primary customers are enterprises and mid‑size businesses that manage large volumes of textual data, such as customer support centers, legal departments, and market research teams.
Features
- Automatic summarization of long documents and conversation threads with configurable length and detail levels
- Topic detection and tagging using domain‑specific language models
- Key‑point extraction and action‑item generation for meeting notes and support tickets
- RESTful API for real‑time integration with third‑party applications and data pipelines
- Secure, role‑based access control and end‑to‑end encryption for sensitive corporate data