Analyzing investors.
Trading equities.

Cingulait’s AI technology decodes investor behavior patterns. Uncovering these insights across large datasets delivers high-conviction predictive strategies.

Propel your portfolio.
Experience 21st-century quant investing.

  • Who we are
Cingulait's technology is built to harness and monetise the convergence of data availability, AI analytics and productisation in financial markets. It is designed for deployment across portfolio types, from S&P 500-correlated to absolute return.
Analyze Alternative Data
Traditional financial metrics only tell part of the story. Cingulait's technology analyzes diverse, non-traditional datasets at scale, uncovering phenomena conventional analysis misses.
01
Predict Market Impact
Data is only as valuable as the insights you extract from it. We use AI to process information and predict potential shifts in the supply-demand balance in markets.
02
Capture Alpha
We turn predictive power into measurable performance by integrating tradable strategies across a range of portfolios.
03
  • Team
Ran Karni
CEO
About
Brian Conroy 
Chairman
About
Illia Prymachenko 
CTO
About
Stephen Thuau
Data Scientist
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 & Portfolio Manager, Cingulait Ltd
Manages 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
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.
Illia Prymachenko 
CTO
Illia leads the engineering behind Cingulait's trading systems. 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 technical architecture behind the firm's trading infrastructure 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
Data Scientist
Stephen is a data scientist with experience in high and medium-frequency trading strategies across the CME, ASX and CBOE, underpinned by a background in econometrics, statistics and machine learning. He has traded across bonds, futures, options and equities through some of the most volatile markets of the past decade. Stephen earned his BSc in Financial Economics with Econometrics at the University of Kent. 


Data Scientist, Cingulait Ltd
Oversees the options and equities models, builds predictive signals by applying machine learning on alternative data.

Data Scientist, AlphaGrep
Expanded into cross-exchange statistical arbitrage and futures rolls.
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 high data quality across research and trading applications and automates internal processes.

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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