Lookc provides an AI‑driven platform that automatically extracts, indexes, and links entities, topics, and relationships from text, audio, and video to build a unified knowledge graph. The system delivers real‑time relevance scoring and recommendations through APIs, SDKs, and a collaborative web dashboard, enabling enterprises and research teams to quickly locate and act on insights from large unstructured data collections.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses often struggle to extract relevant insights from large volumes of unstructured data, leading to missed opportunities and inefficient decision‑making.
Solution
Lookc offers an AI‑driven platform that automatically identifies, organizes, and surfaces contextual information from diverse data sources. By applying natural‑language processing and knowledge‑graph techniques, the system creates a unified view of related content, enabling users to quickly locate pertinent insights without manual searching. The platform integrates with existing workflows through APIs and provides real‑time relevance scoring to prioritize the most valuable information. Users can interact with the contextual data via a web interface that supports filtering, tagging, and collaborative annotation, facilitating faster and more informed decisions.
Target Audience
Primary customers are enterprises and research teams that need to derive actionable insights from large, unstructured data collections, such as market analysts, product managers, and data scientists.
Features
- Automated extraction and indexing of entities, topics, and relationships from text, audio, and video sources
- Knowledge‑graph construction that links related concepts across disparate datasets
- Real‑time relevance scoring and recommendation engine to surface the most pertinent information
- RESTful API and SDKs for seamless integration with enterprise tools and data pipelines
- Collaborative web dashboard with advanced filtering, tagging, and annotation capabilities