Engineer-turned-quant meets software architect.
Who've spent careers turning markets and data into systems you can trust.
Conviction, computed.
An MFD's recommendation should never rest on instinct alone.
KiAlt launched in 2026 on a single conviction: we turn the macro picture into the micro decision — so every advisor walks into every client conversation with the weight of evidence behind them.
We're building the intelligence layer beneath the advisory relationship — scoring schemes across a 30-parameter matrix, reading macro signals down to the right fund, and surfacing the why behind every call.
Closes the gap
Between a 40-person research team and the independent advisor working alone.
30-parameter matrix
Scheme scoring across macro, sector, fundamental, technical, and risk layers.
Evidence-first
Every call backed by data — not tips, not headlines, not instinct.
India-native
Every model calibrated for Indian markets and regulatory context.
Give every MFD the research desk
only institutions could afford.
The mission is to close the gap between a national distributor with a forty-person research team and the independent advisor working alone — so the quality of advice an Indian investor receives no longer depends on the size of the firm giving it.
Systematic Scheme Scoring
A 30-parameter matrix covering macro signals, sector cycles, fundamentals, technicals, and risk — so advisors know exactly what they're recommending and why.
Macro to Micro Intelligence
We read the macro picture and translate it down to the right fund — from RBI policy shifts to the fund that benefits most from the resulting rate environment.
Conviction in Every Conversation
Every recommendation backed by evidence. Advisors walk into client meetings with the weight of structured research — not instinct.
A market where conviction is engineered,
not guessed.
We see a financial India where intelligence is democratised: the MFD in a tier-3 town and the wealth manager in a metro drawing on the same depth of analysis, and "trust me" replaced by "here's the evidence." KiAlt's long view is to become the decision engine the entire advisory ecosystem reasons with.
Where the independent advisor is the most informed person in the room.
The people behind KiAlt
A rare pairing — deep markets experience and serious engineering — spanning decades across trading, enterprise technology and financial software.
A Production Engineering graduate of Punjab Engineering College, Chandigarh, Sumit spent over a decade as a functional consultant at Tata Consultancy Services and IBM, delivering large-scale enterprise systems before turning full-time to the markets.
As a self-taught algorithmic trader, he built his own quantitative trading infrastructure in Python — covering strategy design and backtesting, risk and money management, order execution, and analytics. KiAlt is the natural extension of that work: the same systematic, evidence-first rigour, now in the hands of every advisor.
A Certified ScrumMaster and full-stack Software Architect with close to two decades building production software, Jatin leads KiAlt's engineering. His financial-technology grounding comes from years at CCH iFirm, building accounting-practice software used by professionals worldwide.
He architects across the modern stack — React, Angular, Node.js and .NET — and brings the discipline to turn a quant's logic into a platform advisors can lean on every day.
Six principles that guide everything we build.
Every product decision, research direction, and feature traces back to these.
Intelligence Over Instinct
Every recommendation should rest on evidence, not gut feel. We engineer conviction so advisors can defend every call with data.
Transparency Built In
No black boxes. Every score, every parameter, every weight is visible and explainable — advisors see exactly why a scheme ranks the way it does.
Democratising Research
Institutional-grade research desks shouldn't be a privilege. We build the tools that give independent MFDs the same depth as forty-person research teams.
Continuous Innovation
Markets evolve. Our engine evolves with them — through new data sources, deeper models, and relentless iteration driven by what advisors actually need.
India-First Thinking
Every model, every metric, every signal is calibrated for Indian markets — not borrowed from Western frameworks and re-labelled.
Advisor-Centric Always
We succeed only when our users do. Every product decision is guided by one question: does this help an MFD serve their clients better?
Ready to build on
intelligence that's computed?
Join the MFDs who walk into every client conversation with the weight of evidence behind them.