Tracklight

Tracklight Inc. operates within the gov tech and corporate cybersecurity sectors, offering an AI-assisted platform to combat fraud. Founded in 2023 by Greg Loos (CEO) and Linda Miller (Chief Growth Officer), the company is headquartered in El Dorado Hills, California. The founders bring extensive experience in state and federal cybersecurity. Loos previously worked with Pondera Solutions, while Miller has a background that includes roles at the U.S. Government Accountability Office and as the deputy executive director of the Pandemic Response Accountability Committee (PRAC). Their collaboration stems from addressing government fraud, particularly during the pandemic, with Loos describing the venture as handling "unfinished business."

The company's business model is centered on providing a proactive fraud prevention solution for government agencies and corporate clients, aiming to identify and stop fraud before payments are issued. This approach counters the traditional 'pay and chase' model. Tracklight secured a $3 million seed funding round in June 2024, led by BarronKent and Growth Factory, to accelerate platform development, sales, and marketing. The company has also been accepted into NVIDIA's Inception Program, receiving a grant to advance its AI models.

Tracklight's platform is a suite of tools that includes Due Diligence, Fraud Analytics, Social Network Analysis, and Case Management. At the core of its service is "Ray," an AI Co-Pilot that leverages machine learning and specialized large language models. Ray analyzes data against a library of over 3,000 fraud schemes and more than one billion open-source intelligence records to provide users with risk scores, executive summaries, and actionable recommendations. The system is designed to integrate into existing workflows, analyzing transactions, identifying anomalies, and flagging high-risk relationships and activities in real-time. One of its key features, FLEX AI Agents, utilizes autonomous AI to streamline allegation management, significantly reducing processing time.

Keywords: fraud detection, fraud prevention, gov tech, AI-assisted security, risk management, financial crime, open-source intelligence, machine learning, government payments, corporate security, due diligence, social network analysis, fraud analytics, case management, AI co-pilot, large language model, cybersecurity, compliance technology, RegTech, insider threat detection