Real-world deployments of agentic AI, document automation, and retrieval systems across fintech, lending, insurance, and research. Each one shipped against a concrete business outcome.
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 a competitive lending market, fast and accurate financial assessment is essential. Our solution automates the processing of customer bank statements to extract structured 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. We built a tool that makes advanced biomarker discovery accessible to scientists and clinicians.
30 minutes. We map your operations, identify what agents can own, and show you exactly what the Stratzi OS would look like on your stack. No obligation.