The startup operates an artificial intelligence research company that provides a model workflow studio for creating personalized AI-enabled workflows. This platform enables professionals and teams to efficiently connect data and develop private AI solutions, addressing the need for tailored automation in various business processes.
Funding
$3.8M 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
Many organizations struggle to implement AI solutions due to the complexities of data integration, privacy concerns, and the need for tailored automation in specific business processes. Generic AI models often fail to address unique industry requirements and data security regulations, hindering effective AI adoption.
Solution
Thru.ai offers a model workflow studio that enables professionals and teams to create personalized, private AI-enabled workflows by connecting their data to a variety of foundational LLMs. The platform facilitates real-time data ingestion through manual uploads or API connections, ensuring data privacy through machine learning-driven de-identification and privatization services. Thru.ai allows users to securely develop and manage private models while maintaining compliance with auditing and deletion rules. The platform is tailored to various industries, including healthcare (HIPAA-compliant), biotech (HHS and GINA guidelines), finance (GLBA-compliant), legal (ABA's data management guidelines), insurance (NAIC-compliant), and edtech (FERPA-compliant).
Target Audience
Thru.ai targets professionals and teams across healthcare, biotech, finance, legal, insurance, and edtech industries seeking to implement tailored, secure, and compliant AI solutions.
Features
- Real-time data ingestion via manual uploads or API
- Machine learning-driven data de-identification and privatization
- Secure private model training and management
- Support for various foundational LLMs
- Model performance tracking and auditing
- Compliance with HIPAA, GLBA, FERPA, NAIC, ABA, HHS, and GINA guidelines
- Industry-specific AI model configurations