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Funding
$4M 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
Building accurate AI applications is challenging due to AI hallucinations, lack of trust in AI outputs, and the complexity of extracting facts from diverse data sources. AI models often generate confident but incorrect answers, making it difficult to verify the quality of AI-generated content. Preparing both structured and unstructured data for AI consumption is a significant hurdle.
Solution
Infactory provides a fact platform designed to extract, structure, and refine data for AI applications, ensuring accurate and reliable results. The platform transforms data into AI-ready formats, enabling AI applications to deliver high-quality outputs. It allows users to ask questions in plain language and receive accurate answers, even for complex data queries. Infactory connects data with AI systems, powering applications with semantic search capabilities for more precise and relevant results, and builds trust through data attribution, mapping the data's journey and providing auditable answer trails.
Target Audience
Infactory targets enterprises and AI developers seeking to build high-accuracy AI applications that require trusted, factual answers.
Features
- Data extraction and structuring tools for transforming unstructured and structured data into AI-ready formats.
- Semantic search capabilities for connecting data with AI systems, enabling more precise and relevant results.
- Confidence scoring to assess the reliability of AI-generated answers.
- Data attribution features to map the data's journey, including underlying sources and auditable answer trails.
- Logic checks to ensure the consistency and accuracy of AI outputs.
- "Show your work" interfaces to provide transparency and explainability for AI decisions.