Chariot Claims Secures $10M Series A to Accelerate Mass-Claim Rescue of Consumers

Chariot Claims, the New York–based startup founded by Zim Hang, has closed a $10 million Series A led by Silverton Partners to streamline how consumers pursue compensation for privacy breaches, hidden fees, and hard-to-cancel subscriptions. The round also included Indicator Ventures, Lightbank, Neon Fund, ZVC, Rosecliff Ventures, Alumni Ventures, FJ Labs, Graph Ventures, and Vermilion Ventures. The funds bring Chariot’s total backing to $15.7 million, after a $3.6 million seed round in April 2025 and an earlier pre-seed tranche. Hang launched Chariot after recognizing the difficulty consumers face when trying to pursue claims, especially when contracts bar class actions and mass arbitration is the primary route for thousands of individual complaints. He also noted that many law firms aren’t structured to manage tens of thousands of claims simultaneously, a gap Chariot now aims to fill by coordinating with partner firms to identify eligible cases, assemble consumer data, and prepare research needed to file claims.

Chariot operates by guiding each case through a intake questionnaire that assesses preliminary eligibility in real time. A team then vets pre-qualified claims via a layered mix of technology and human oversight before presenting them to the partner law firm handling the case. Hang says Chariot typically processes over 200,000 claim submissions per month and has taken on roughly 80 cases since shifting to its current model a little more than a year ago. The team comprises around 15 employees, and the company is currently breaking even. The fresh capital will largely fund hiring and product development, including AI tools to review cases and help determine consumer eligibility.

Chariot’s platform focuses on claims involving privacy violations, covert fees, and subscriptiontech issues. Its software scans public records, including federal filings, and uses AI to map out research for partner firms. It also builds legal memos from complaints and is developing mechanisms to track evolving laws and rulings that could impact case viability. The aim is to automate more of the research traditionally done by associates and paralegals. The system now reviews several hundred potential cases monthly; Chariot tests ads for about 30 prospective claims and pursues roughly 10 cases more thoroughly with its partners. Consumer outreach occurs through ads and partnerships with fintech companies, and eligible claimants must provide evidence such as breach notices or purchase histories to establish a claim.

To enhance efficiency, Chariot plans to enable users to connect email accounts so the software can locate relevant documents without lengthy forms. Hang envisions a 10x to 100x increase in current claim-volume capacity as a result. While the approach has drawn pushback from some companies that have faced cease-and-desist letters over its advertising and use of corporate names, Hang maintains that naming the involved businesses is essential to reach affected customers. He notes that Chariot isn’t a law firm; instead, it offers a service model that handles administrative work while partner firms pursue the actual legal claims. Silverton’s Mike Dodd described Chariot’s vertical AI approach as both exciting and defensible, highlighting its potential to scale individual claims and eventually broaden into a general consumer-legal AI solution. He emphasized that the model aligns capital with access to justice, arguing that when a company violates its promises, affected consumers rarely obtain redress without innovative tools to reach them. Hang’s path to Chariot includes a diverse tech background, from a sleep-research-based startup that evolved into a smart-pillow business to roles in healthcare tech, fintech, Web3, and legal tech.

The experience shaped his conviction that complex systems often unbalance interests between businesses and consumers, a reality that Chariot seeks to address. The company’s name reflects its mission: to shepherd individual claims through a scalable process and encourage better business practices by making noncompliant conduct costly.

Looking ahead, Chariot plans to deepen its product development, sharpen its AI-assisted case review, and expand its pool of partner law firms. The goal is to automate more of the intake and research workflow so attorneys can focus on legal strategy while the platform handles data collection, eligibility checks, and status updates for claimants. Hang stresses that the broader objective is to raise the cost of unethical practices for businesses, thereby incentivizing more organizations to adhere to their commitments to consumers.