Lazarus provides AI foundation models and an AI orchestrator that process multimodal data for knowledge extraction and automated analysis. Their platform integrates proprietary data through Vector Knowledge Graphs, enabling deeper insights and explainable decision support for complex organizational challenges.
Funding
$7.8M 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.
MC+1Founders
Product
Problem
Organizations face challenges in extracting actionable intelligence from diverse and complex data sources, leading to inefficient decision-making and workflow automation. The sheer volume and variety of data, including text, images, audio, and time-series signals, overwhelm traditional analytical methods. This data fragmentation hinders the ability to identify critical insights and derive comprehensive understanding for operational effectiveness.
Solution
Lazarus develops advanced AI foundation models designed for multimodal data comprehension and knowledge extraction. Their platform, ATLS, acts as an AI orchestrator, intelligently selecting and deploying specialized models to process disparate data types, including text, tabular data, images, audio, and time-series signals. This approach automates complex analytical workflows by providing concise, actionable outputs, thereby augmenting human decision-making capabilities. Lazarus's Vector Knowledge Graphs (VKGs) enable deep integration of proprietary data, enhancing model accuracy and providing explainable insights beyond standard Retrieval-Augmented Generation (RAG) techniques.
Target Audience
The primary target audience includes public sector organizations, government agencies, and enterprises in sectors such as insurance and healthcare that require advanced AI capabilities for data extraction, analysis, and decision automation.
Features
- **RikAI Foundation Models:** Multimodal large language models engineered for document understanding and complex reasoning across various data formats.
- **ATLS (AI Tool-Selecting System):** An AI orchestrator that dynamically selects appropriate AI models and tools for specific data inputs and analytical tasks, presenting synthesized information.
- **Vector Knowledge Graphs (VKGs):** A proprietary knowledge representation system that securely embeds and updates organizational data within AI models for enhanced context and accuracy, offering a deeper integration than RAG.
- **Extractive and Reasoning Capabilities:** AI models focused on reliably extracting key information from unstructured data and providing explainable reasoning for complex decision support.
- **Temporality and 2D Understanding:** Models designed to comprehend chronological sequences and analyze two-dimensional data structures like tables and charts.
- **No Input Token Limits:** Architecture designed to process large volumes of data without input size restrictions, facilitating comprehensive analysis.
- **Technology Readiness Level (TRL) 9+:** Models are fully proven and deployed in real-world operational environments, ensuring robust performance.
- **Flexible Deployment Options:** Solutions support deployment on private cloud, on-premise, or hybrid infrastructure to maintain data control and security.