From AI-powered performance analytics and player tracking to league management platforms and fan engagement systems, we build cricket software that operates at a professional scale.
Cricket’s data demands are outpacing generic tools, leaving spreadsheet-reliant organizations at a performance disadvantage.
Coaching staff spending hours on video review instead of minutes means tactical adjustments arrive a session too late.
When biometric feeds, video libraries, and match logs sit in separate tools, analysts waste time reconciling data instead of reading it.
Off-the-shelf sports software is not built for over-by-over formats, DLS calculations, or multi-format squad management at an international scale.
Systems that perform in training environments routinely fail under IPL or World Cup concurrency when every second of downtime is visible to millions.
Rob Terry, Director of Sports Sales – North America, is a sports industry expert leading Folio3 AI’s sports sales initiatives. With strong market insight and a client-first approach, he helps sports organizations adopt AI-driven solutions for analytics, performance improvement, fan engagement, and measurable business growth.
Connect with Rob
Centralized platforms that unify match statistics, session workload, biometric data, and coaching feedback into a single analyst-ready interface.
Machine learning systems that surface actionable patterns from ball-by-ball data — partnership trends, powerplay optimization, death-over execution rates, and more.
Frame-accurate video tagging, ball trajectory reconstruction, and shot classification tools built for coaching workflows and broadcast augmentation.
End-to-end platforms for player enrollment, session planning, attendance, development milestone tracking, coach assignment, and parent-facing progress dashboards.
Fixture scheduling, points table automation, umpire management, venue logistics, and real-time scoreboard systems built for operators running multi-team, multi-format competitions.
Real-time scoring engines, player selection logic, contest management, wallet systems, and compliance frameworks designed for regulated fantasy cricket markets.
Workload monitoring systems that combine GPS data, bowling load counts, and historical injury records to flag risk and support physio-led return-to-play protocols.
Second-screen applications, in-stadium experience layers, trivia engines, and predictive gaming features are built to extend session time and build loyalty.
Automated graphic generation, real-time stat overlays, AI-driven highlight extraction, and data visualizations built for production teams running live cricket broadcasts.
Computer vision pipelines that reconstruct ball path from broadcast or dedicated camera feeds, producing seam position, release point, and landing zone data at scale.
Pose estimation models that capture bat swing arc, head position, weight transfer, and footwork patterns to give coaches frame-level technical feedback at scale.
Regression models that estimate injury risk based on cumulative bowling workload, recovery windows, surface hardness, and historical strain data per bowler.
Sequence models trained on ball-by-ball data that surface field-placement tendencies, bowling variation patterns, and batting trigger zones for specific opposition players.
Multivariate models that score academy and age-group players against professional benchmarks across technical, physical, and statistical dimensions to support selection decisions.
Event detection pipelines that identify wickets, boundaries, run-outs, and close calls in real time, packaging clips for broadcast, social, and OTT delivery without manual editing.
Performance analytics, squad management, opposition intelligence, and in-season workload monitoring systems built for franchise coaching and analytics staff working at professional competition tempo.
Centralized player development databases, national selection analytics, age-group pathway management, and multi-format squad performance systems designed for boards governing domestic and international programs.
Academy management platforms covering enrollment, session logging, development milestone tracking, coach scheduling, and parent communication — infrastructure that scales as intake grows.
End-to-end tournament management software handling fixtures, points tables, umpire assignments, venue logistics, live scoring, and broadcast data feeds for operators running multi-team competitions.
Real-time data visualization, automated highlight generation, AI-driven stat overlays, and second-screen engagement tools built for production teams broadcasting live cricket at scale.
Technical co-development partnerships for cricket startups building analytics products, fan platforms, or AI tools — from MVP architecture through production-grade deployment and iteration.
Every technology choice is made specifically for cricket, aligned with your game requirements, scalability needs, and integration ecosystem, not for developer convenience.
Talk to a Solutions ExpertOur work spans performance analytics, AI model development, and high-concurrency platform engineering — built specifically around cricket's operational demands.
Discuss Your Cricket Software NeedsOur team has worked directly with cricket data structures, over-by-over formats, DLS logic, and multi-format squad management, a context that generic technology partners simply do not have.
We develop and train our own computer vision models rather than licensing third-party tools, which gives clients full control over accuracy benchmarks, retraining cycles, and IP ownership.
Our platform architecture is designed for peak concurrency from the start — not retro-fitted for scale after launch — so systems perform when traffic is at its highest.
From data architecture through AI model training, UX design, and post-season support, a single Folio3 team owns the full delivery — no coordination gaps between vendors.
We work with clients on fixed-scope project engagements, dedicated team extensions, and long-term season support retainers, structured around how cricket organizations actually budget and operate.
We follow a structured delivery process that turns cricket workflows, data systems, and AI requirements into season-ready software built for pressure.
Sport format mapping, data source audit, stakeholder workflow documentation, and technical feasibility assessment.
Feature specification, data schema design, API integration plan, and fixed-scope delivery roadmap.
Cricket-specific data architecture, format-flexible schema, pipeline design, and infrastructure specification.
Practitioner-validated wireframes and UI design built around how coaches, analysts, and operations staff actually work.
Sprint-based build with weekly demos, continuous integration, and early-season alpha releases for staff validation.
Model training on cricket datasets, backtesting against historical match data, and accuracy benchmark documentation.
Connection to existing systems, IPL/tournament-scale concurrency testing, and performance validation before go-live.
Deployment, real-time monitoring, incident response SLA, and feature iteration through the active season.
Whether you're building from zero or replacing tools that have already cost you a season, Folio3 brings the cricket domain expertise, AI engineering depth, and infrastructure experience to deliver software that performs when it counts most.
Fill the form below or Contact us at +1 408 365-4638 / email us via contact@folio3.ai
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+1 408 365-4638
contact@folio3.ai
6701 Koll Center Parkway, #250 Pleasanton, CA 94566
