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Industries · Sports

Sports software development,at game speed.

Fan apps, ticketing, live data, and venue ops — latency and season-long retention built into every surface.

01 / Sports market

$600B

02 / Mobile tickets

80%

03 / Data expectations

Live

04 / IML builds

8+ yrs

Pressures sports teams are under — and where AI helps.

  1. 01 · Driver

    Live data

    Teams in sports prioritize live data — we scope roadmaps and AI features around measurable outcomes in this area.

  2. 02 · Driver

    Fan engagement

    Teams in sports prioritize fan engagement — we scope roadmaps and AI features around measurable outcomes in this area.

  3. 03 · Driver

    Low-latency UX

    Teams in sports prioritize low-latency ux — we scope roadmaps and AI features around measurable outcomes in this area.

Software we ship for sports operators and product leaders.

  1. 01

    Fan engagement apps

    Fan engagement apps integrated with your core systems and instrumented for the compliance posture Sports teams expect.

  2. 02

    Ticketing & memberships

    Ticketing & memberships scoped around measurable KPIs in Sports — with runbooks your operators can follow after launch.

  3. 03

    Live stats feeds

    Live stats feeds shipped in demo-ready slices so stakeholders can validate workflows before full rollout.

  4. 04

    Venue operations

    Venue operations designed for auditability, access control, and handover documentation from day one.

  5. 05

    Merch & commerce

    Merch & commerce integrated with your core systems and instrumented for the compliance posture Sports teams expect.

  6. 06

    League dashboards

    League dashboards scoped around measurable KPIs in Sports — with runbooks your operators can follow after launch.

Pair with our AI solutions and engineering services for program-scale delivery.

Intelligence for sports that survives review — not demos.

  • 01 · AI

    Highlight generation

    Highlight generation with evaluation harnesses, human review, and monitoring tuned for Sports risk profiles.

  • 02 · AI

    Fan personalization

    Fan personalization deployed with guardrails, fallbacks, and cost controls — not experimental prompts in production.

  • 03 · AI

    Dynamic pricing

    Dynamic pricing validated against Sports data realities before end users see automated decisions.

  • 04 · AI

    Injury risk models

    Injury risk models paired with observability and rollback paths your on-call team can act on.

A partner built for sports delivery with measurable outcomes.

  1. 01 · Edge

    AI-first delivery since 2018

    Eight years shipping products with applied AI — not slide decks. We pair model work with production UX, APIs, and observability.

  2. 02 · Edge

    Regulation-aware by default

    Audit trails, access control, and documentation your security and compliance teams can hand to reviewers without translation.

  3. 03 · Edge

    Prototype → production path

    A working slice on your data in weeks, then a validated rollout cadence your stakeholders can track.

  4. 04 · Edge

    Offshore value, onshore clarity

    India-based engineering with US/EU-friendly communication, demos, and written decision records every sprint.

See how we work for how engagements run.

Answers for leaders scoping the next sports build.

  • Yes. We combine domain research with your data and workflows in discovery — then ship a prototype on a real pathway in weeks.

  • Access control, audit logs, encryption, and documentation are architectural defaults — scoped to your regulatory envelope at kickoff.

  • We integrate via APIs, events, and batch pipelines with ERP, CRM, and legacy cores — overlay-first unless you want a greenfield build.

  • A focused MVP or rapid POC is typically four to ten weeks depending on integrations and compliance depth.

Turn your roadmap into living AI products.

Tell us what you want to launch — we’ll outline a practical path from first prototype to production, with milestones you can track and no forced long-term contract.

Response time

Under 1 business day

Confidentiality

NDAs on request

First prototype

Often within a week