Defeat fraudsters, Realtime
WHO WE ARE
The founders started working on low latency, data driven applications over two decades ago. From TCP to binary messages, to little Endian to Message queues & APIs, we have seen the journey, up close.
We built solutions where every byte mattered, to solutions that analyzed Terra bytes of data & identified anomolies in real time. Its this expertise that we bring to fraud analytics.
We enjoy building solutions that leverage big data in realtime & at scale
Help banks & fintechs leverage data to stay ahead of fraudsters
High throughput, low latency platform for fraud analytics
Meet Our Team
CEO & Co Founder
Satish loves building and scaling products. He has built products across trading, analytics, risk management & surveillance. In his last role, he was COO of NSE's technology business (NSEIT). He has been a fund manager at a Private Equity fund and was Director at SunGard/FIS.
Chief Operating Officer
Pravin has over 25 years experience in delivering and operating complex IT systems. His experience includes 6 years in the Bay Area, working for product startups. In his last role, he was Vice President (Digital) for NSE's technology business (NSEIT). Prior to that, he led technology delivery at Lionbridge, Capgemini, Tech Mahindra & CMC.
Chief Business Officer
Arpan is passionate about building relationships and has served customers across Americas, Europe, Asia and India. Over the last two decades, Arpan has worked with leading companies like Oracle, Sonata Software, RS Software, NSEIT and TCG Digital. “I am the client’s representative” is his theme for retaining customer focus while delivering value.
CTO & Co Founder
Pallavi loves to code and has spent two decades across equity & derivative trading & risk management. She has built an analytics platforms for IoT assets handling over 1000 events per second. Pallavi worked across NSE, Reliance Capital and Destimoney in technology leadership roles.
Sukhdev Sinh Zala
CDO & Co Founder
Sukhdev has 25 years of experience in building big data and machine learning-based solutions in risk management and trading. He recently implemented machine learning models to identify anomalous trading patterns on large data sets. Sukhdev experiments with models to identify ways and means to improve the accuracy of the system at low latency.