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From Identity Crisis to Clarity: 18 Months in the Making

Nov 10

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When we started MatchMind Technologies, we knew one thing for sure we could build powerful machine learning models for cricket. What we didn’t know was who we were building them for.

Over the last 18 months, we’ve lived through what every early-stage startup does: constant pivots, identity crises, and “what if we tried this?” moments. Were we an analytics firm for coaches and players? A fantasy recommendation engine? A B2C app for casual bettors? A data consultancy for teams? At times, all of the above.

We built products, tested models, and threw the kitchen sink at every market we could find — from coaches (who often already had analysts) to fantasy users (who loved the idea but not the price point).Each step was a learning curve, and each “no” got us closer to our “yes.”

That moment came after IPL 2024.Our Head-to-Head (H2H) predictive product delivered a strong ROI across the season — not just on paper, but in live markets. We knew we had a scalable, high-edge system. The question shifted from “Does this work?” to “Who will pay for it?”

Eventually, we found our answer:

Professional traders, syndicates, and funds in the cricket prediction markets.

Prediction markets are, at their core, about pricing risk — and that’s what our models do best. We’re not a tipster service or a fantasy platform. We’re a machine learning–driven risk management company powering traders, funds, and teams with real-time intelligence.

It took us a while to land there, but we’re here now clearer, more focused, and backed by a team combining statisticians, engineers, and ex-international cricketers.

The journey’s been long. There were moments we nearly turned the tech off. But we had great mentors and investors who helped us see the wood from the trees and reminded us that deep tech takes time to find its market.

We’re proud to say we’ve gone from confusion to conviction. From “what are we?” to “we’re MatchMind - ML risk management for cricket prediction markets.”

Shoutout to everyone who’s helped in some shape or form - WaterhouseVC, Oliver Silver, Dan Weston, Grant Elliott, and others who’ve put up with our endless questions and iterations. Here’s to staying in the game long enough to figure out which one you’re playing.

Machine learning for cricket prediction markets - powering traders, funds, and teams with real-time intelligence.

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