data-driven AI for financial compliance

Soho, New York City


Detectica builds data-driven AI products to detect financial malfeasance.



              84 Wooster St
              Suite 703
              New York, NY 10012

Detectica’s artificial intelligence products identify malfeasance through alerts and investigation. We help our clients solve compliance challenges through analyses of internal electronic communications.

Detectica’s alerting system uses artificial intelligence and machine learning to find electronic communications that contain malfeasance across high-scrutiny behaviors including illegal trading behaviors, human resource violations, confidentiality breaches and more. This system and application surfaces high risk communications and associated metrics for easy review by compliance staff and officers.

Detectica surfaces insights and patterns on employee malfeasance through a search-powered investigation system, helping compliance staff and officers to explore the electronic communications of monitored employees. The system applies artificial intelligence and machine learning to proactively offer up communications for review, all within a single application.

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Dr. Foster Provost, Co-Founder
Foster is a Professor of Data Science at NYU Stern School of Business and world-renowned expert in machine learning and fraud detection. His research was the basis for Dstillery, which has gone on to raise over $50 million in funding, where he founded the data science effort. He also was a co-founder of Integral Ad Science, which has since raised over $100 million. Elsewhere in his industry career, he applied advanced technologies to a variety of business and government problems, including fraud detection, counterterrorism, network diagnosis, network monitoring, and customer analysis.

Foster served as the Editor-in-Chief of the journal Machine Learning and co-chaired ACM SIGKDD, the premier data mining conference. He also advises various U.S. Government agencies, including the NSF, NASA, DARPA, and others on policy and investments in data mining research.  He has won numerous awards for his research and is coauthor of the best-selling data science book Data Science for Business.

Dr. Panos Ipeirotis, Co-Founder
Panos is a Professor of Data Science at NYU Stern School of Business, with a focus on machine learning, content analysis, and integrating humans and machines effectively. Panos served as an early advisor of Integral Ad Science, and has worked as a Visiting Scientist for Google, the World Bank, oDesk, and other startups. His research has received nine “Best Paper” awards and nominations, a CAREER award from the National Science Foundation. Panos was the recipient of the prestigious 2015 Lagrange Prize in Complex Systems.

Dr. Josh Attenberg, Co-Founder, CTO & Head of Data Science
Prior to joining Detectica, Josh was the Director of Data Science at Etsy. He was also on the founding team of Integral Ad Science as Vice President of Data Science, and was a Research Scientist at Yahoo! Research. He received his Ph.D. in Computer Science from NYU, focusing on applications of machine learning. He is currently an Adjunct Professor at NYU Stern School of Business, teaching data science, data mining, and machine learning.


Jennifer Chin, COO and VP of Product
Jennifer previously managed consumer operations and public relations for Google Map's business listing product. She was also a corporate responsibility and communications consultant for numerous Fortune 100 companies and NGOs. Jennifer received her MEM-MBA from Duke University. In addition, she has undergraduate majors in both English and Journalism from Northwestern University.

Dr. Chathra Hendahewa, Research Engineer
Chathra received her Ph.D. in Computer Science from Rutgers University, where she was a member of the Fulbright Scholarship program. Her research focused on using machine learning and data mining techniques to analyze interactions among individuals, natural language and time series.

Abe Stanway, Research Engineer
Previously lead data scientist on People Analytics at McKinsey, where he worked directly with the offices of CHROs on engagements around the world. He was also a co-founder of Hacker League (acquired by Intel), and led data engineering projects at Etsy and other startups. Abe holds degrees in Computer Science and Philosophy from Rutgers University. 


Dr. Georgios Valkanas, Research Engineer
George joined Detectica from a postdoctoral scholarship at Stevens Institute of Technology, where he developed a machine learning-powered course recommendation platform for the Business School. He gained valuable experience and knowledge in large-scale systems by both interning at Yahoo Labs and participating in several EU-funded projects over a five-year period. Projects included building systems that employ text, graph, and temporal mining techniques for large-scale and heterogeneous data. He received his PhD in Computer Science from the National and Kapodistrian University of Athens, Greece.

Romy Hong, Engineer                                 Prior to joining Detectica, Sae Rom was a front-end developer and UI/UX designer for various startups. She is an alumnus of the Recurse Center, where she explored various topics in computer science and web development. She holds degrees in English and Philosophy from UCLA.

Bharath Vivekananda Swamy, Engineer
Prior to joining Detectica, Bharath was a senior associate at Genpact, where he designed and deployed databases for market research. He received his Masters in Computer Science from NYU’s Polytechnic School of Engineering. His focus was on investigating identity theft techniques through spear phishing and Mechanical Turk.


Bernando Suryanto, Engineer
Bernando previously served as an infrastructure engineer for Rakuten where he worked on Mesos projects for marketing data. He received his Bachelor’s in Computer Science from NYU.

Sherif Mostafa, Product Manager
Prior to Detectica, Sherif worked for seven years in the technology industry in various roles, ranging from engineering at IBM to technology advisory and compliance at Ernst & Young. Sherif received his Bachelor's in Computer Science from the American University in Cairo and his MBA from NYU Stern School of Business in Product Management and Corporate Finance.

Matthew Voshell, User Experience Designer
Matthew started his career in Washington, D.C. as a U.S. Defense and Intelligence Cyber Security consultant. After 5 years he transitioned  to the field of User Experience after accepting a design internship at S&P Global relocating him to New York City.

Thereafter, he worked on various projects as a freelance designer. Matthew received his BS in Information Technology from George Mason University's Volgenau School of Engineering. He also holds a graduate certificate in User Experience design from the University of California, San Diego.


Peter De Jesus, Operations & HR Manager   Peter has over 20 years of experience working in various senior operations and HR roles across a variety of industries, including manufacturing, aeronautics, real estate, and government. He holds a BS in Astrophysics and Genetics from Pennsylvania State University.


Patty, Director of Fetch Operations
Patty is a 2-year old border collie and former working dog, actively training in flyball and agility. Patty brings powerful ears and a keen nose to the Detectica portfolio. In her spare time, she loves fetch, frisbee, tug, belly rubs and eating treats.