AI coworkers for fraud and risk teams.

Socratix builds AI coworkers for fraud and risk teams so that humans don't have to spend their days drowning in alerts and spreadsheets. Today, fraud and risk teams at fintechs and banks are overwhelmed. Analysts jump between tools, manually stitch together context, and make judgment calls under pressure, often for hundreds of alerts a week. Too much of their work is slow, repetitive, and error-prone. We're here to change that. Socratix gives fraud and risk teams AI coworkers that investigate alerts in real time, replacing manual reviews with fast, explainable decisions. Socratix agents plug into existing workflows and reason across signals just like human analysts to help teams reduce fraud losses, minimize false positives, and scale operations without scaling headcount. We've seen this problem firsthand. At DoorDash, Riya helped save $30M+ a year by building smarter fraud detection and investigation tooling, and at Unit21, she built products for analysts that made them 3X faster. We're able to build and sell enterprise-grade software. At Cruise, Satya built scalable AI systems powering petabyte-scale data, and at LinkedIn, he built enterprise products from 0 to 1 generating $50M+ in incremental revenue. Now, the two of us are teaming up to eliminate the manual toil in fraud and risk. We're obsessed with fraud, LLMs, real-world automation, and the messy edge cases traditional ML has trouble handling. We believe that every fraud analyst should have an AI coworker - and the future of fraud will involve combining human-level reasoning with machine-speed execution.

Active Founders

Riya Jagetia

Co-Founder & CEO

I studied CS at MIT and previously built AI agents for investigations, ML models, real-time monitoring, and anomaly detection for fraud teams at DoorDash and Unit21. Now, I'm building AI coworkers for fraud and risk teams that combine human-level reasoning with machine-speed execution.

Riya Jagetia

Co-Founder & CEO

I studied CS at MIT and previously built AI agents for investigations, ML models, real-time monitoring, and anomaly detection for fraud teams at DoorDash and Unit21. Now, I'm building AI coworkers for fraud and risk teams that combine human-level reasoning with machine-speed execution.

Satya Vasanth Tumati

Co-Founder & CTO

Passionate about applying AI to solve complex but boring real-world problems. Now, building the future of AI powered fraud and risk operations at Socratix. Previously built petabyte scale search and mining systems at Cruise and built some of Linkedin's enterprise marketing products from scratch generating $50M incrementally. Studied CS at UCLA, IIT Hyd

Satya Vasanth Tumati

Co-Founder & CTO

Passionate about applying AI to solve complex but boring real-world problems. Now, building the future of AI powered fraud and risk operations at Socratix. Previously built petabyte scale search and mining systems at Cruise and built some of Linkedin's enterprise marketing products from scratch generating $50M incrementally. Studied CS at UCLA, IIT Hyd

Company Launches

Socratix AI: AI Coworkers for Fraud and Risk Teams

See original launch post

Hi everyone,
We’re Riya & Satya - the co-founders of Socratix AI. We’re building AI coworkers for fraud and risk teams so that people don't have to spend their days drowning in alerts and spreadsheets.

https://www.youtube.com/watch?v=_-ds8g2SgIg

❌ The Problem:

Today, fraud and risk teams at fintechs and banks are overwhelmed. They're reviewing hundreds of alerts per week - jumping between tools, manually gathering context, and making tough judgment calls under pressure.

The work is repetitive, slow, and prone to error. Hiring more analysts is slow and expensive. Meanwhile, fraudsters are creative, constantly evolving their tactics to bypass static rules and outdated ML models.

The result: overwhelmed teams, blocked good users, and missed real threats.

✅ The Solution:

Socratix gives fraud and risk teams AI coworkers - agents that think like human analysts but operate 24/7 and scale effortlessly.

Our agents plug into existing tools and workflows to:

Ingest alerts
Pull rich context (accounts, devices, behaviors, history)
Assess risk using past cases and SOPs
Auto-close false positives
Escalate high-risk cases with clear rationale and next steps

The result is fewer fraud losses, reduced false positives, and better customer experiences - all without scaling headcount.

👬 The Team:

We’ve seen this problem up close, and we’ve felt both sides: the manual pain of fraud operations and the transformative power of autonomous AI.

Riya (CEO) previously led the development of AI/ML fraud detection and investigation tools at DoorDash and Unit21, helping prevent tens of millions of dollars in fraud losses and making analysts 3X more efficient. She holds a Computer Science degree from MIT.

Satya (CTO) previously built enterprise-grade AI/ML systems for real-world autonomy - most recently at Cruise. He has worked with ML and software engineering his entire career. He holds a Computer Science degree from IIT and a Master’s in Computer Science from UCLA.

We’ve been in the trenches - stitching together context across messy tools, triaging endless alerts, and scrambling to keep up with evolving threats. Now, we’re teaming up to bring autonomous AI to fraud and risk - and eliminate the manual toil for good.

🙏 Our Ask:

If you’re a fintech, marketplace, or financial institution drowning in fraud ops, alert fatigue, or growing backlogs - we’d love to help. Whether you’re rebuilding your fraud stack, struggling with your false positives, or curious about AI agents for your workflows, we’d love to share what we’re seeing in the space and show you a demo!

👉 Contact us at riya@getsocratix.ai and satya@getsocratix.ai

🕐 Book a time here

Jobs at Socratix AI

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Founding Backend Engineer

Menlo Park, CA, US / Mountain View, CA, US / San Mateo, CA, US

$150K - $200K

0.50% - 1.50%

1+ years

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