Scientific inquiry
Test hypotheses against evidence and remain open to disconfirming results.
Financial intelligence & quantitative technology
Intelligence
Beyond Markets.
Fintel Research Labs advances financial intelligence through quantitative research, data science, and computational technology.
Fintel Research LabsResearch / Intelligence / Technology
Our philosophy
Rigorous inquiry.
Systematic thinking.
We treat financial markets as dynamic, interconnected systems. These five habits of mind shape how we develop and evaluate every idea, every day.
Quantitative rigor
Quantify uncertainty rather than imply certainty about future outcomes.
Systems thinking
See markets as interconnected systems, and translate that complexity into testable research.
Embedded controls
Build transparency and risk controls into every system from the outset, not bolted on after.
Continuous discovery
Challenge, monitor and refine models as evidence and markets evolve.
Research
Curiosity, made
quantitative.
Our research spans quantitative modelling, market microstructure, positioning and derivatives analysis, and — through PIE — physical-world intelligence drawn from satellite imagery and geospatial data. Together, they test one question: what does the evidence actually say?
Quantitative modelling
Multi-timeframe price structure, regime classification and probabilistic hypothesis testing — evidence over prediction.
Market microstructure
Liquidity, order flow, execution conditions and the short-horizon dynamics that shape real fills.
Positioning & derivatives intelligence
Open interest, gamma, expiry and dealer structure — reading who is actually positioned in the market.
Cross-asset & regime research
Relationships across instruments, sectors and market regimes, and how they shift under stress.
Computational research
Signal normalisation, validation and weighting — the data engineering behind PRISM's Signal Factory.
Physical intelligence (PIE)
Satellite imagery, geospatial and shipping data, and physical inventories — observing real-world economic activity before it reaches conventional data.
Technology
Research engineered
for real-world complexity.
We develop an interconnected ecosystem of proprietary financial intelligence, emerging data research and quantitative technology. Each product addresses a distinct challenge: interpreting complex markets, expanding the information frontier, or making systematic research more accessible.
Flagship proprietary intelligence architecture
PRISM
A proprietary, multi-engine financial intelligence architecture—from market evidence to governed capital decisions.
PRISM observes markets, weighs the evidence, and decides when capital should act — or when it should deliberately wait.
Markets cannot be understood through any single indicator or model. PRISM brings together specialized quantitative engines that examine market structure, institutional positioning, volatility, liquidity and cross-asset behavior. Its modular architecture is designed to transform heterogeneous evidence into probabilistic assessments, strategy selection and disciplined decisions, with risk and governance embedded throughout the process.
At its center is the PRISM Signal Factory—an intelligence layer that organizes, evaluates and combines signals from multiple research domains. It supports strategy-specific interpretation while addressing signal quality, interaction, persistence and overlapping evidence.
The PRISM Architecture
Data Depth
6 Intelligence Engines
Market StructureMarket RegimeInstitutional PositioningDerivatives / GammaMicrostructureFundamental / Valuation
Synthesis
Signal Factory
Evidence → Probability → Expected Value.
Expression
10 Strategy Pods
Specialized strategy frameworks, activated by market context and mandate.
PRISM's differentiator is not a single trading model. It is the integration of research intelligence, probabilistic evaluation, dedicated strategy frameworks, capital discipline and an auditable decision process within one proprietary architecture.
PRISM Core is in live validation ahead of a 2026 trading launch.
Emerging research frontier
⌁PIE
Physical Intelligence Engine
Markets reflect changes in the real economy long before every development appears in conventional financial statements. PIE is an exploration of how physical-world observations and alternative datasets might deepen the understanding of economic activity.
Beyond market feedsResearch directions include geospatial, infrastructure, supply-chain and other observable economic signals.
Scientific validationLink external observations to testable financial hypotheses, with attention to data quality, timeliness and bias.
A forward-looking research initiative; capabilities and applications remain subject to development and validation.
Technology platform initiative
⌘PRISM Studio
A future interface between quantitative research and systematic strategy development.
Studio is envisioned as a structured environment for exploring strategies, studying market conditions and examining research outcomes using repeatable, transparent workflows. Its purpose is to translate complex research infrastructure into practical tools for qualified users and institutions.
Research workflowsStrategy exploration, historical analysis and model-informed evaluation within a consistent framework.
Technology scalabilityA prospective commercial channel for select research and tooling capabilities, separate from FRL's proprietary trading intelligence.
Our approach — from questions to governed decisions
Observe
Continuously interpret market and non-market evidence, including physical-world signals.
Model
Determine regime, setup quality and probability using PRISM's intelligence engines.
Validate
Test conviction and reward-to-risk before any capital is put at stake.
Decide
Apply portfolio, risk and execution constraints — trade, wait, or stand down.
Govern
Capture every outcome to refine the evidence base for what comes next.
People & culture
Market thinkers.
Technology builders.
Our team brings together experience in capital markets, banking technology, quantitative products, artificial intelligence, data analytics, compliance and operations. Different disciplines, united by a belief in careful research and well-engineered systems.
The Founders
Abhay Raut
A serial entrepreneur with over 25 years of building businesses and a long-standing student of quantitative markets, Abhay is the Founder of Fintel Research Labs Pvt Ltd. Abhay founded and led 247EasyTravel.com, a B2B travel-technology platform that unified global travel supply for trade participants and was named Most Innovative Product of the Year in 2013.
At Fintel Research Labs he brings research, technology, and governance into a common proprietary financial intelligence architecture creating a product with applicability across global markets.
Yogesh Edke
A serial entrepreneur and banking-technology executive with international experience across Silicon Valley start-ups and Fortune 500 companies. As Vice President and Senior Program Manager at banks such as MUFG and Citi, he led core-banking and cloud transformation programmes and brings expertise in risk management and complex technology delivery.
Yogesh is the Chief Technology Officer at Fintel Research Labs.
Brahmjyot Raizada Dhillon
A data analytics leader and Big 4 management consultant with over 20 years in Financial Services having worked in many countries. In her last role as a Senior Vice President at Marsh McLennan, she led data-driven and machine-learning products. At Fintel Research Labs, Brahmjyot is responsible for Analytics and Investor Relations. She is also the Chief Culture Officer.
Pradnya Edke
Pradnya leads the firm's administration and real estate activities — managing the workspace and providing day-to-day admin support that allow the research and technology teams to focus on building PRISM.
Specialists
Lalit Kumar
Enterprise AI
An AI architect and founder-operator focused on turning complex financial workflows into deployable systems. As co-founder of Walnut AI, he helped productise VegaSpread, an AI platform for credit-risk spreading. At FRL, Lalit plays the role of Tech and AI leader, building the core tech product architecture.
Kaustubh Shinde
Quant Product Lead
A capital-markets product specialist with more than two decades of experience. His work has spanned financial data feeds, APIs, cloud and data-science products at Visible Alpha, real-time trading technology at Heckyl Technologies, and global capital-market research at JLT. Kaustubh is the Product Manager for PRISM.
Anurag Kataria
Alternate Asset Classes
A serial entrepreneur and financial journalist, Anurag brings experience across capital markets and complex technology initiatives. The FRL specialist in satellite imagery and the force behind PIE, Anurag has previously founded and run AI-based companies including Yun Solutions. His perspective connects market operations, analytical thinking, and practical delivery.
Abhijit Singh
Compliance & International Affiliations
Abhijit leads compliance and FRL's international affiliations, ensuring the firm's research and trading activity meet regulatory and governance standards across jurisdictions. He is also FRL's specialist in Physical AI & Robotics, with experience co-founding Yun Solutions and developing mission-critical technology applications that connect artificial intelligence with real-world systems.
Delivery team
Aary Sakhare
B.Tech in Artificial Intelligence and Data Science. As a Capital Research Analyst at FRL, Aary contributes to the PRISM platform — developing and testing market analysis engines, managing data pipelines, and improving system reliability.
Rupali Shrivastava
B.Tech in Artificial Intelligence and Data Science. Rupali works at Fintel Research Labs as a Capital Data Analyst on financial data analytics, real-time market data processing, and quantitative models for PRISM.
Pranjal Sarnaik
B.E. in Mechanical Engineering, with a background in art and illustration before moving into technology roles. At Fintel Research Labs, Pranjal manages PRISM’s database administration and high-availability infrastructure including replication, backup and recovery, and system performance monitoring.
Our culture
We value intellectual curiosity, engineering precision, collaborative rigor, and long-term thinking. Strong research starts with the willingness to question our own assumptions.
Careers
Build the
intelligence layer.
We are a small, research-led team solving hard problems in market intelligence, computational research and systematic decision-making. If you think in hypotheses and build in code, we would like to hear from you.
Open roles & updates
Follow Fintel Research Labs on LinkedIn
We post open roles, research notes and company updates on LinkedIn first — the fastest way to see what it is like to work here and what we are hiring for.
Connect
The next question
begins here.
We welcome considered conversations with research collaborators, institutions, technical specialists and people who share our curiosity about complex financial systems.