Resistant AI announced the completion of a $25 million Series B funding round led by Molten Ventures with participation from Accel Evolution and Westbridge Capital. The investment will accelerate the development and deployment of the company’s AI based fraud detection platform serving over 100 financial institutions globally. The platform uses explainable machine learning to analyze transaction patterns in real time identifying anomalies without false positives that disrupt legitimate business.
Resistant AI reported a 300 percent increase in client adoption over the past year driven by rising digital fraud incidents costing the industry $5.8 billion annually. The funding supports team expansion to 150 employees and international market entry in Asia and Latin America.
The Series B round values Resistant AI at $150 million post money with proceeds allocated to product innovation and sales growth. Molten Ventures a European deep tech investor led the round contributing $15 million with the remainder from existing backers Accel Evolution which invested in the 2021 seed round and Westbridge Capital focused on fintech in emerging markets. The investment follows Resistant AI’s Series A of $7.5 million in 2022 which funded platform scaling and regulatory compliance features.
CEO Laura Edelson highlighted the round’s timing amid a 25 percent surge in global fraud attempts in 2025. The company plans to double its engineering team in London and open offices in Mumbai and São Paulo within six months.
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Platform Technology and Capabilities
Resistant AI’s core platform employs explainable AI algorithms to monitor transactions across banking payments and lending systems. The technology analyzes over 200 data points per transaction including user behavior device fingerprints and network patterns to detect fraud with 95 percent accuracy. Unlike traditional rule based systems the AI models adapt to evolving threats using unsupervised learning to identify novel attack vectors.
Explainability features provide regulators and compliance officers with audit trails detailing decision rationales meeting standards like GDPR and PSD2. The platform integrates via APIs with core banking systems supporting volumes up to 10 million transactions per second. Recent enhancements include natural language processing for alert triage reducing analyst workload by 60 percent.
Post funding Resistant AI plans to launch version 3.0 in Q2 2026 incorporating generative AI for automated response orchestration and threat hunting. The platform will extend to non financial sectors like insurance and e commerce addressing $200 billion in annual losses. International growth targets 50 new clients in Asia Pacific with localized models for regional payment systems like UPI in India. The company commits 30 percent of funds to R&D focusing on federated learning for privacy preserving collaborations across institutions.
Sustainability initiatives include carbon neutral operations by 2027 aligning with investor ESG criteria. Edelson emphasized ethical AI development with bias audits and diverse training data to ensure equitable fraud detection.
