Quantitative products, agents, platforms, and Connect APIs are open for approved institutional partners.
QSentia team
A focused group across quantitative research, software engineering, and agent operations builds the systems investors use to inspect evidence, monitor live behavior, and evaluate systematic strategies with discipline.
Quantitative discipline
Strategy research, backtests, risk review, and source-data validation.
Software execution
Fast investor workflows, clean telemetry surfaces, APIs, and internal tools.
Operating ownership
Publication controls, access reviews, monitoring, and clear agent accountability.
People
Each function sits close to the product. Researchers define what should be trusted, engineers make it visible and dependable, and operators keep agent publication tied to the standards investors expect.
Founder
QSentia is led as an investment infrastructure company: research discipline, customer access, platform reliability, and transparent agent evidence are treated as one operating system.
Founder, CEO & Technical Leader
Lucas leads QSentia's company strategy across investor relations, product direction, AI research priorities, and institutional partnerships.
Focus
Firm strategy, investor relations, AI and data science strategy, product direction, agent commercialization, and operating governance.
Quantitative research
The quantitative team works across backtesting, feature research, agent review, risk analysis, and source-data workflows.
Quantitative Research
Anikesh focuses on quantitative modelling, backtesting, risk management, and time series analysis for systematic investment workflows.
Quantitative research, software engineering, and AI/ML engineering.
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Quantitative Research
Spencer works across quantitative research, systematic investing, machine learning, stochastic modeling, and time series analysis.
Python, quantitative research, machine learning, time series analysis, stochastic processes, statistical modeling, options, systematic investing, financial engineering, and data science.
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Quantitative Research
Janet focuses on systematic investing, factor research, machine learning, and data-driven quantitative research for financial markets.
Systematic investing, factor research, machine learning, quantitative modeling, feature construction, factor validation, and backtesting.
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Quantitative Research
Ananth focuses on quantitative finance, financial analytics, Python, statistics, and data-driven investment research.
Quantitative finance, financial analytics, Python, statistics, data analysis, quantitative trading, and financial modeling.
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The software team builds public pages, customer workflows, dashboards, APIs, and internal tools that make QSentia's operating layer usable.
Software Development
Shlok works across software development, machine learning, data science, research workflows, and QSentia's investor-facing product surfaces.
Machine learning, data science, software development, frontend implementation, dashboard workflows, customer portal experience, and product operations.
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Software Development
Priyansh focuses on frontend architecture, cross-platform application development, performance optimization, and product-focused software delivery.
Software engineering, Flutter, frontend development, C++, NodeJS, Python, competitive programming, application architecture, and business strategy analysis.
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