Lazarus

Founded in 2017 by Ariel Elizarov, Lazarus AI operates as a developer of artificial intelligence models geared towards data extraction, reasoning, and knowledge applications for regulated industries. The company is headquartered in Cambridge, Massachusetts, and also operates under the name Lazarus Enterprises. The initial impetus for the company stemmed from a need to understand physicians' handwriting on skin lesion biopsy reports during a previous venture focused on cancer research. This challenge led to the development of their core technology and a pivot to a new business model. Ariel Elizarov, the Co-Founder and CEO, holds a Bachelor's degree in Neuroscience and Behavior from Columbia University and has executive certificates from MIT Sloan and Columbia Business School. Before Lazarus AI, he was the director and CEO of Archer Technologies, a research data sharing platform he sold in 2016. He is joined by a leadership team that includes Anish Patel as Chief Technology Officer.

Lazarus AI provides enterprise-grade machine learning solutions designed to help organizations in sectors like insurance, healthcare, banking, defense, and government streamline data intake and understanding from various documents. The company targets complex, unstructured data found in forms such as claims, patient intake documents, medical records, and legal agreements. Its business model centers on offering its AI capabilities through a REST-API, which can be deployed on-premise or via a private cloud to ensure data security and confidentiality. The company generates revenue by providing these AI tools that help clients automate processes, reduce costs, and create value from their institutional knowledge.

The company's product suite includes foundation models like RikAI and ATLS. RikAI is a large language model capable of extracting and understanding data from any document type, including handwritten text, without requiring prior training. It is designed for high accuracy and can process documents in over 100 languages, understanding the spatial positioning of information on a page. ATLS acts as an orchestration model, a system that can plan and execute a series of tasks by coordinating other AI models and digital tools to facilitate end-to-end automation. A key feature of Lazarus AI's technology is its emphasis on explainability, providing transparent logs that show the reasoning process behind its outputs, which is crucial for clients in regulated fields. The platform can handle various data formats, including text, images, audio, and video, and offers features like vector knowledge graphs to help users navigate vast datasets.

Keywords: document understanding, data extraction, enterprise AI, foundation models, regulated industries, insurance technology, healthcare AI, financial services AI, government technology, machine learning solutions, unstructured data, data activation, RikAI, ATLS, AI orchestration, natural language processing, computer vision, Ariel Elizarov, knowledge graphs, intelligent automation, claims processing, medical record analysis, data intake, multi-modal AI, explainable AI