Chariot Secures $10M Series A for AI-Powered Mass Arbitration
Chariot Claims raised a $10 million Series A round led by Silverton Partners to scale its platform that automates mass arbitration claims for consumers alleging hidden fees and privacy violations.
Chariot Claims has raised $10 million in Series A funding led by Mike Dodd, General Partner at Silverton Partners. The round included participation from Indicator Ventures, Lightbank, Neon Fund, ZVC, Rosecliff Venture Partners, Alumni Ventures, FJ Labs, Graph Ventures, Vermilion Ventures, and other angel investors. The consumer legal technology platform processes more than 200,000 pre-qualified claims per month, helping individuals pursue mass arbitration against large corporations.
Founder background and company evolution
Chariot is led by three-time founder and CEO Zim Hang. His first company grew from sleep research conducted while studying psychology and neuroscience at Washington University. He turned that research into a smart-pillow business and later sold its intellectual property to a medical-device operator. Hang subsequently worked in healthcare technology and fintech, and founded a startup in the Web3 space. He launched Chariot about three years ago.
The company pivoted toward its current mass arbitration model slightly more than a year ago. Since that shift, Chariot has taken on roughly 80 cases. The company now has about 15 employees and is currently breaking even.
Business model and operations
Chariot operates a platform designed to help consumers identify potential corporate violations, determine eligibility for claims, and pursue compensation through a network of partner law firms. Its model focuses on coordinating large numbers of individually represented claims in mass arbitration, rather than combining consumers into a single class-action lawsuit.
The process begins with Chariot scanning public records, including federal court filings, to find potential cases. The company reviews a few hundred potential cases each month and tests ads for about 30 to gauge consumer interest. It selects roughly 10 per month to pursue more extensively with partner law firms. Consumers reach the platform through advertising and partnerships with consumer financial technology companies.
Upon arrival, consumers complete an intake questionnaire that assesses preliminary eligibility in real time. They must provide information such as a data breach notice or purchase details for hidden-fee complaints. Chariot's team then reviews pre-qualified claims through a multi-layered system of technology and human oversight before sending them to partner law firms.
The company uses AI to analyze allegations and prepare research for its legal partners. It is also developing tools to track changes in laws and court decisions that could affect case viability. Historically, scaling mass arbitration has been difficult due to the administrative burden of identifying claimants, determining eligibility, coordinating legal representation, and managing individual cases.
Chariot's focus includes potential harms involving privacy violations, hidden fees, false advertising, and other forms of alleged corporate misconduct. The company has received multiple threats of litigation from defendants involved in cases it supports. It intends to become more active in response to changes in consumer privacy law, specifically citing California SB 690.
Traction and use of funds
Since pivoting, user payouts have averaged approximately $460 through Chariot's platform. This compares to $32 cited from a Consumer Financial Protection Bureau analysis of class-action settlements.
| Metric | Figure |
|---|---|
| Pre-qualified claims processed monthly | Over 200,000 |
| Cases pursued since pivot | Roughly 80 |
| Current employee count | About 15 |
| Team growth during 2026 | More than doubled |
| Average user payout | ~$460 |
The company has more than doubled its team during 2026, adding employees with experience from AI companies, Rocket Money, Rippling, and Twitch. Chariot plans to spend the new funding primarily on hiring and product development, including AI tools to review cases and help determine consumer eligibility. It also plans to expand its work around consumer privacy rights, education, and related policy issues.
Mike Dodd of Silverton Partners noted the systemic challenge the startup addresses. "When a company breaks the law and breaks what it promises to its consumers, the consumer rarely seeks justice," he said. CEO Zim Hang framed the mission succinctly: "We want to make unethical unprofitable." Chariot plans to use the capital to further develop its artificial intelligence capabilities and scale operations.
