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.
- 01 · Driver
Live data
Teams in sports prioritize live data — we scope roadmaps and AI features around measurable outcomes in this area.
- 02 · Driver
Fan engagement
Teams in sports prioritize fan engagement — we scope roadmaps and AI features around measurable outcomes in this area.
- 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.
- 01
Fan engagement apps
Fan engagement apps integrated with your core systems and instrumented for the compliance posture Sports teams expect.
- 02
Ticketing & memberships
Ticketing & memberships scoped around measurable KPIs in Sports — with runbooks your operators can follow after launch.
- 03
Live stats feeds
Live stats feeds shipped in demo-ready slices so stakeholders can validate workflows before full rollout.
- 04
Venue operations
Venue operations designed for auditability, access control, and handover documentation from day one.
- 05
Merch & commerce
Merch & commerce integrated with your core systems and instrumented for the compliance posture Sports teams expect.
- 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.
Built for your stack.Shown in shipped work.
From Sports programs to cross-vertical platforms — the technologies below reflect what we deploy most often, alongside engagements you can review in our portfolio.
Platforms & tools
- React
- Next.js
- Node.js
- Python
- TypeScript
- PostgreSQL
- AWS
- Docker
- Kubernetes
- GraphQL
- Flutter
- Figma
Selected engagements
A glimpse of what we ship
AISports Technology
Bet365 | Sports Automation Platform
Bet365 is a real-time sports operations platform that ingests Telegram publisher feeds, parses structured event signals, and executes actions on the Bet365 platform with full auditability.
BackendAutomationBot
Retail & E-commerce
Global Diamond Montreal | Fine Jewelry E-Commerce
Premium jewelry e-commerce for engagement, wedding, and gift collections — live at globaldiamondmontreal.com.
Web ApplicationUI UX DesignE-commerce
Finance
Capium 365 | Business Accounting App
SMB accounting workspace for invoices, expenses, and reporting.
Mobile AppUI UX Design
A partner built for sports delivery with measurable outcomes.
- 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.
- 02 · Edge
Regulation-aware by default
Audit trails, access control, and documentation your security and compliance teams can hand to reviewers without translation.
- 03 · Edge
Prototype → production path
A working slice on your data in weeks, then a validated rollout cadence your stakeholders can track.
- 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