In today’s fast-moving financial world, our genAI-powered platform uses autonomous agents to generate dynamic reports by integrating data from SQL databases, file storage, and the internet—delivering fast, accurate, and actionable insights.
In today’s competitive lending market, fast and accurate financial assessment is essential. Our
solution automates the processing of customer bank statements to extract structural data,
generate financial profiles, and verify document authenticity.
To reduce memory use in RAG systems at scale, we trained a Masked Language Model to generate sparse embeddings. This approach matches the retrieval performance of our dense model (Stella) while using significantly less memory.
Cancer biomarkers are key to early detection and treatment, but identifying them from genomic data is complex. To simplify this, researchers built a tool that makes advanced biomarker discovery accessible to scientists and clinicians.