Reliant AI provides an AI-powered data manipulation and verification platform that transforms unstructured data into structured insights, enabling users to efficiently gather, refine, and validate complex datasets. The platform significantly reduces the time spent on data preparation, allowing researchers to obtain decision-critical insights with 100% confidence and 4.8 times faster than manual methods.
Funding
$13.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Researchers and analysts face a time-consuming process of manually collecting, organizing, and verifying data from disparate sources, hindering their ability to efficiently extract decision-critical insights. This labor-intensive data preparation often involves sifting through vast amounts of unstructured information, leading to delays and potential errors.
Solution
Reliant AI offers an AI-powered data manipulation and verification platform, Reliant Tabular, designed to streamline the process of transforming unstructured data into structured insights. By indexing over 38 million scientific publications, conference abstracts, and clinical trials, the platform provides a centralized repository of information. Reliant Tabular enables users to efficiently gather, refine, and validate complex datasets, reducing the time spent on data preparation. The platform's specialized LLMs and database-scanning algorithm facilitate rapid asset scans and minimize errors, allowing researchers to obtain insights with greater speed and accuracy.
Target Audience
The primary target audience includes researchers, analysts, and strategists in the life sciences industry who require efficient and accurate data analysis for competitive intelligence, scientific evidence generation, and market forecasting.
Features
- AI-powered data manipulation and verification
- Access to over 38 million scientific publications, conference abstracts, and clinical trials
- Specialized LLMs for rapid asset scans
- Database-scanning algorithm that minimizes errors
- Competitor report generation for trend analysis
- Systematic literature reviews for scientific evidence generation
- Market trend forecasting and business development opportunity capture
- Data privacy focus: algorithm learns from open-access publications, not user data