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Corbo

Corbo provides an AI‑driven platform that automatically processes unstructured text, images, and audio to extract structured insights such as entities, sentiment scores, and visual objects. Users can upload data via a web UI or RESTful API and receive results in CSV, JSON, or Excel, ready for integration into existing workflows and dashboards.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Businesses increasingly need to extract actionable insights from large volumes of unstructured data, but manual analysis is time‑consuming, error‑prone, and requires specialized expertise.

Solution

Corbo offers an AI‑driven platform that automates the processing and analysis of unstructured text, images, and audio. Users upload raw data, and Corbo’s proprietary models perform classification, entity extraction, sentiment analysis, and visual recognition, delivering structured outputs ready for integration into existing workflows. The platform provides a web interface and API endpoints, allowing both technical and non‑technical users to generate insights without building their own machine‑learning pipelines. Results are presented through customizable dashboards and can be exported in common data formats for downstream reporting or decision‑making.

Target Audience

Primary customers are mid‑size enterprises and data‑intensive teams in sectors such as market research, customer support, and media monitoring that need to turn unstructured content into actionable intelligence.

Features

  • Multi‑modal AI models for text, image, and audio data processing
  • Automated entity extraction, sentiment scoring, and visual object detection
  • RESTful API and web UI for easy integration and user interaction
  • Real‑time processing with scalable cloud infrastructure
  • Export of structured results in CSV, JSON, and Excel formats
  • Role‑based access control and data encryption for security compliance
This profile is AI-generated and may contain inaccuracies.