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EndorsedendorsedOngoing

AI Sports Tech Platform Backend & Flutter App

Services Covered:

AI and Machine Learning • Custom Software Development • Mobile Application Development
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Industry
Industry

Sports & Entertainment

Duration
Duration

6 months

Budget
Budget

Confidential

Start Date
Start Date

1 August 2025

Team Size
Team Size

6-10

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
77/100
Good

Project Capability Score (PCS) estimates how capable Valere is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

SportFX

mapFort Lauderdale, United States of America

Project Summary

Valere provided end-to-end development for an AI-powered sports tech platform, leading computer vision R&D, backend services and APIs, and the Flutter mobile app foundation. They helped the client progress from PoC components to an integrated, deployable foundation by shipping stable Flutter increments, implementing backend workflows including notifications and admin tooling, and advancing CV pipeline iterations. Their structured project management established a repeatable cadence for demos, QA, and releases while supporting ongoing R&D.

Key Challenges

  • Advance computer-vision pipelines for player/pose/movement analysis
  • Build and harden the backend and cloud foundations for scale
  • Accelerate Flutter mobile app development with QA to ship reliable iterations

Project Deliverables

  • Computer vision pipeline iterations for player/pose/movement analysis
  • Model inference and data workflows
  • Backend API endpoints and integrations including notifications and admin tooling
  • Flutter modules and mobile builds
  • Test coverage, QA and bug-fix cycles focused on production readiness

Project Solution

Valere supported the client across discovery, architecture, and execution. They led computer vision R&D and integration, developed backend services and APIs (including notification flows and admin tooling), built out the Flutter app foundation and core features, and owned QA and release hardening to enable frequent, reliable iterations. They refined scope, stabilized legacy components, and accelerated delivery toward a deployable release.

Project Outcome

  • Progressed from PoC components to an integrated, deployable foundation
  • Shipped stable Flutter app increments
  • Implemented backend APIs including notification support to enable end-to-end workflows
  • Advanced CV pipeline iterations so analysis ran more reliably across real-world videos
  • Established a repeatable cadence for demos, QA, and releases, reducing cross-team handoffs

Platforms

  • AI/ML PlatformAI/ML Platform
  • MobileMobile
  • CloudCloud

Tech Stack

  • FlutterFlutter
  • REST APIREST API

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Valere has helped the client ship stable app increments, implement backend APIs, and advance computer vision pipeline iterations. Their structured project management style has helped the client establish a repeatable cadence for demos, QA, and releases. The team's technical expertise has stood out.”

Ashley Corser

Executive Assistant

Note: This endorsement is based on publicly available client feedback from external review sources.

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