Solbi provides an AI‑powered platform that automatically summarizes, classifies, and semantically searches unstructured text such as documents, emails, and chat logs. The service delivers real‑time, context‑aware results via a web interface or RESTful APIs, with role‑based access controls and audit logs for enterprise security and compliance.
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 retrieve relevant information at scale.
Solution
Solbi offers an AI-powered platform that processes unstructured documents, emails, and chat logs to generate concise summaries, categorize content, and enable semantic search. The system leverages large language models combined with custom indexing to deliver context-aware results in real time. Users can integrate the service via APIs or a web interface, allowing seamless incorporation into existing workflows. The platform provides role-based access controls and audit logs to ensure data security and compliance. Continuous model updates improve accuracy across diverse domains without requiring extensive user training.
Target Audience
Primary customers are enterprises, legal firms, and research organizations that handle large amounts of textual data and require efficient information extraction.
Features
- Automatic summarization of long-form text and multi-document collections
- Semantic search with natural language query support
- Customizable classification pipelines for industry-specific taxonomies
- RESTful API and SDKs for easy integration with enterprise applications
- Role-based permissions and activity logging for compliance
- Scalable cloud infrastructure with on-demand processing capacity