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Socratix AI

Category: AI in Fintech

Socratix AI builds autonomous AI coworkers for fraud and risk teams, automating investigative workflows and delivering real-time, explainable decisions to combat AI-powered fraud. Socratix AI was founded in 2025. The company is led by Riya Jagetia. Based in San Francisco, United States. Team size: 3. Total funding raised: $4.1M. Latest round: Seed, $4.1M, October 2025, led by Pear VC. Key investors include ["Pear VC","Y Combinator","Twenty Two Ventures","Transpose Platform Management"].

Founded
2025
Headquarters
San Francisco, United States
Team size
3
Total funding
$4.1M

Value proposition

Reduces fraud investigation time from hours to minutes, minimizes false positives, and scales operations without increasing headcount, leveraging AI to replace manual workflows

Products and solutions

["Autonomous AI fraud investigators","Real-time alert resolution agents","Enterprise fraud analytics platform"]

Unique value

AI coworkers that integrate seamlessly into existing workflows, learning from historical alerts and analyst decisions to improve accuracy without requiring data migration

Target customer

Banks, fintech companies, and enterprises requiring advanced fraud detection and risk management solutions

Industries served

["Financial services","Fintech","E-commerce","Payment gateways"]

Technology advantage

Processes petabyte-scale data in real time with explainable AI recommendations, combining ML models and human judgment to strengthen fraud detection efficiency

How they differentiate

Socratix AI differentiates through autonomous AI coworkers that integrate directly into existing fraud workflows, offering explainable decisions and real-time alert resolution. Competitors often focus on broader AI tools or lack specialized fraud detection automation.

Main competitors

["Legacy fraud detection platforms","Rules-based systems","Manual analyst teams"]

Key partnerships

["Y Combinator (accelerator)","Pear VC (lead investor)","Twenty Two Ventures","Transpose Platform Management","ICBA ThinkTECH Accelerator"]

Notable customers

["Super.com", "AtoB"]

Major milestones

["Raised $4.1M seed funding (October 2025)","Selected for Y Combinator Summer 2025 cohort","Launched AI coworkers for real-time fraud investigation","Selected for ICBA ThinkTECH Accelerator 10th cohort (December 2025)","Published case studies with Super.com and AtoB (Q1 2026)"]

Growth metrics

Customer deployed in 3 days with 100% accuracy; fintech reduced customer response time from hours to minutes; investigations shortened from full day to 15 minutes; $3 value per $1 spent

Market positioning

Niche focus on fraud/risk operations in fintech, positioning as a specialized agentic software solution for institutions dealing with AI-driven fraud

Geographic focus

Primarily serving US-based banks and fintechs, with potential expansion into global markets given YC backing and investor networks

Patents and IP

No publicly disclosed patents found in available sources

About Riya Jagetia

Previously led AI/ML fraud detection and investigation tool development at DoorDash and Unit21, helping prevent tens of millions in fraud losses and making analysts 3x more efficient. MIT Computer Science graduate.

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