Researching investor behaviour.
Predicting market momentum.
Cingulait’s AI technology decodes investor behavior patterns. Uncovering these insights across large datasets delivers high-conviction predictive strategies.
Propel your view of the markets.
Experience 21st-century quant.
- Who we are
Cingulait's technology is built to harness the convergence of data availability, AI analytics and productisation in financial markets. Born from our own research, it powers the advisory serviceswe provide to institutional asset managers, and is designed for deployment across portfolio types, from S&P 500-correlated to absolute return.
Research Alternative Data
Traditional financial metrics only tell part of the story. Our research unlocks diverse, non-traditional datasets at scale, surfacing patterns conventional analysis can miss.
01
Predict Market Impact
Data is only as valuable as the insights you extract from it. Our AI models estimatepotential shifts in the supply-demand balance in markets.
02
Design Tradable Strategies
We turn our research into insights that support institutional clients' own investment decisions, across a range of portfolios.
03
- Team
Ran Karni
CEO
About
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Brian Conroy
Chairman
About
Illia Prymachenko
CTO
About
Stephen Thuau
Head of Research
About
Aaron Rook
Data Analyst
About
Ran Karni
CEO
Ran brings over two decades of experience managing investment strategies across global markets. With a highly analytical approach, his background ranges from overseeing large-scale, long-only index portfolios to building algorithmic frameworks for quantitative funds. This domain expertise helped design Cingulait’s technology from day one, ensuring our engine is seamlessly deployed in various types of portfolios and mandates. Ran earned his MBA at London Business School and his BSc in Mathematics and Economics at Tel Aviv University.
Founder, Cingulait Ltd
Advising to multi asset mandates using proprietary alpha-generation architecture.
Founder & Principal Portfolio Manager, Provenance
Designed and ran a systematic long-short equity fund powered by deep-learning models.
Multi-Asset Team, Russell Investments
Executed dynamic asset allocation and structured custom portfolio solutions.
CIO, FIBI Bank
Managed global multi-asset and long-only portfolios using fundamental and macro frameworks
Founder, Cingulait Ltd
Advising to multi asset mandates using proprietary alpha-generation architecture.
Founder & Principal Portfolio Manager, Provenance
Designed and ran a systematic long-short equity fund powered by deep-learning models.
Multi-Asset Team, Russell Investments
Executed dynamic asset allocation and structured custom portfolio solutions.
CIO, FIBI Bank
Managed global multi-asset and long-only portfolios using fundamental and macro frameworks
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Brian Conroy
Chairman
Brian is a longtime innovator in financial services, twice named among the top ten of Institutional Investor's Trading Technology ranking. With a career at the intersection of markets and technology, his background ranges from leading electronic trading networks to running global asset management businesses. His market structure expertise and institutional standing strengthen Cingulait as the firm scales into new markets. Brian earned his AB at Dartmouth College.
Chairman, Cingulait Ltd
Provides board-level strategic guidance and governance to the firm.
Chief Executive Officer, Liquidnet
Led the global institutional investment network across equities, fixed income and analytics.
President, Fidelity International
Oversaw international asset management and distribution across 25 countries.
Goldman Sachs & JPMorgan
Held senior trading roles early in his career, beginning in equities at Goldman in 1987.
Chairman, Cingulait Ltd
Provides board-level strategic guidance and governance to the firm.
Chief Executive Officer, Liquidnet
Led the global institutional investment network across equities, fixed income and analytics.
President, Fidelity International
Oversaw international asset management and distribution across 25 countries.
Goldman Sachs & JPMorgan
Held senior trading roles early in his career, beginning in equities at Goldman in 1987.
Illia Prymachenko
CTO
Illia leads the engineering behind Cingulait's research platform and the systems that deliver its outputs. His background is in cloud data engineering, where he has built reliable infrastructure for data-intensive businesses and turned ambiguous problems into scalable, cost-efficient systems. Illia earned his BSc in Computer Science at KROK University, after studying Computer Science at the National University of Kyiv-Mohyla Academy.
Chief Technology Officer, Cingulait Ltd
Owns the architecture of the firm's data and modelling platform and integrates AI tooling across research and development.
Data Engineer, Loxo
Built automated data migration pipelines and secure AWS environments for client onboarding.
Chief Technology Officer, Cingulait Ltd
Owns the architecture of the firm's data and modelling platform and integrates AI tooling across research and development.
Data Engineer, Loxo
Built automated data migration pipelines and secure AWS environments for client onboarding.
Stephen Thuau
Head of Research
Stephen leads Cingulait's research program, developing machine learning methods for extracting predictive signals from alternative data. His background spans econometrics, statistics and machine learning, with prior experience building high- and medium-frequency models across the CME, ASX and CBOE in bonds, futures, options and equities. Stephen earned his BSc in Financial Economics with Econometrics at the University of Kent.
Head of Research, Cingulait Ltd
Directs the research agenda, leads development of the options and equities models, and oversees the design and validation of new methods applied to alternative data.
Data Scientist, AlphaGrep
Developed cross-exchange statistical arbitrage and futures roll models.
Head of Research, Cingulait Ltd
Directs the research agenda, leads development of the options and equities models, and oversees the design and validation of new methods applied to alternative data.
Data Scientist, AlphaGrep
Developed cross-exchange statistical arbitrage and futures roll models.
Aaron Rook
Data Analyst
Aaron brings a background in data science and computational mathematics to Cingulait, alongside technical experience built across foreign exchange research and other data-intensive industries. He applies that knowledge to strengthen the firm's operational workflows. Aaron earned his BSc in Computational Mathematics at the University of Reading and is completing his MSc in Data Science and Analytics at Royal Holloway, University of London.
Data Analyst, Cingulait Ltd
Ensures data quality across the research pipeline and automates data processing and model-testing workflows.
Researcher and Data Scientist, Siren FX
Built end-to-end foreign exchange data processing and delivery systems in Python and AWS.
Data Analyst, Cingulait Ltd
Ensures data quality across the research pipeline and automates data processing and model-testing workflows.
Researcher and Data Scientist, Siren FX
Built end-to-end foreign exchange data processing and delivery systems in Python and AWS.
- Let's talk
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