Reasonary AI provides an automated reasoning platform that ingests unstructured text, applies natural‑language understanding and logical inference, and outputs concise, evidence‑backed summaries and answers. The system builds searchable knowledge graphs and supports plain‑language queries, with APIs for embedding into enterprise workflows and BI tools.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations often have large volumes of unstructured text and data that are difficult to analyze quickly, leading to delayed insights and suboptimal decision‑making.
Solution
Reasonary AI offers an automated reasoning platform that ingests unstructured content, applies natural‑language understanding and logical inference, and generates concise, actionable summaries. The system extracts key entities, relationships, and trends, then structures the information into searchable knowledge graphs. Users can query the platform in plain language to receive evidence‑based answers, scenario analyses, and recommendations. Integration APIs allow the service to be embedded within existing workflows, dashboards, or business applications, delivering real‑time intelligence without requiring specialized data‑science expertise.
Target Audience
Primary customers are enterprises and professional teams that need to transform large collections of documents, reports, or communications into structured insights, such as consulting firms, financial analysts, and corporate strategy groups.
Features
- Advanced NLP pipeline for entity extraction, sentiment analysis, and topic modeling
- Logical inference engine that connects extracted facts into coherent knowledge graphs
- Natural‑language query interface delivering concise, evidence‑backed answers
- Real‑time data processing with scalable cloud architecture
- RESTful and SDK integrations for embedding into enterprise tools and BI platforms
- Role‑based access controls and audit logging for secure enterprise deployment