Symphoria™ uses AI to analyze billions of records from thousands of databases, detecting existing and emerging threats. It informs the litigation support team and legal counsel, augments human analysts, and reduces investigation time from days to minutes.
Expertise from NASA, IBM, Purdue, and the CIA
Symphoria™ uses data from 5000+ global watch lists, 30 million entities (partner data*), compliance, due diligence reports
Leverage dynamic risk-scoring and red flags for insider trading, corruption, and embezzlement. Identify risks via entity networks and key attributes like assets and associations
Transform raw data into actionable cases with dynamic hypothesis modeling. Uncover hidden patterns, identify strong narratives, and refine your strategy in real-time.
Real-time AI boosts legal investigations by reducing false positives, prioritizing evidence, uncovering hidden patterns, and generating detailed reports
Symphoria’s chat interface offers an intuitive, interactive experience for legal professionals, powered by agentic workflows. Each hypothesis is managed by a dedicated Case Manager agent, ensuring seamless case management and thorough, focused investigations
Case Managers perform advanced data analysis to uncover patterns and insights, while also providing interactive visualizations and mapping of relevant nodes and relationships to enhance understanding and support informed decisions.
Case Managers search and integrate data from databases and the web automatically and on request, continuously updating and refining hypotheses with the latest and most relevant information to enhance the depth and accuracy of investigations.
The pinnacle of Symphoria's capabilities lies in its Hypothesis Modeling. Building on the foundational data preparation steps of entity resolution, relation extraction, and risk ranking, Hypothesis Modeling is the critical final step that transforms data into actionable intelligence
Agents deeply analyze materials flagged as highly suspicious, using context-driven insights to piece together critical information. This process identifies patterns and connections that may indicate illegal activity or contractual breaches
Materials are reviewed in various orders to uncover hidden narratives and connections that may not be evident in a linear review. Agents then construct a working narrative, forming a hypothesis that ties together all identified elements into a cohesive story, aiding in legal preparation
As new data is incorporated, agents continuously refine their hypotheses, ensuring that the narrative remains accurate and relevant. This ongoing process allows for adaptation to new information and evolving case dynamics
Additional information ingested through chat or any other data source is automatically analyzed and reflected in case reports. You can also edit and format these reports in the desired format (EDD, SAR, 8300 and etc.)
Report generation is significantly faster than other solutions, using parallelization to produce up to 26 reports simultaneously. You can also edit these reports at any time for greater flexibility.
Automatically generate AI-driven task lists and case notes, streamlining your workflow by capturing key details and organizing them for easy reference and action.
Easily create document requests with pre-defined AI queries, allow clients to securely upload files, review the results, and approve or download the final documents once everything meets your requirements.
Alisher is researching agent systems at Purdue University.
Scott adds unparalleled domain expertise to Symphoria. He brings 20 years of senior operational experience at the CIA, where he was Head of Iraqi Task Force, President’s Senior Intelligence Officer in high-risk countries and retired as Chief of Post-Soviet Station. He is a (Ret.) US Navy Commander, ex NYU professor and 2018 Candidate for the U.S. Congress. Scott also talks about national security on FOX, The Hill and other media.
Avinash Kak is a leading expert in computer vision, image processing, and AI. A professor at Purdue University, he co-authored the influential book “Digital Picture Processing.” His work spans robotics, medical imaging, and security systems. Widely recognized for his contributions, Avinash is a sought-after authority in both academia and industry. He has received numerous accolades for his pioneering research and innovative solutions.
