ML/AI Technical Due Diligence for SporTech

An international sports data company aimed to acquire a target company specializing in video analysis and data generation. The client sought to purchase a technology business that analyzes video streams and provides data and insights using computer vision and machine learning. The assignment involved evaluating the target company’s initial plans, current and future product strategies, development process capabilities and speed, and potential for expansion into other sports.

The client aimed to purchase a technology business that analyzes video streams and generates data and insights using computer vision and machine learning. We evaluated the target company’s original plans, present or future product strategy, development process capabilities and velocity, and potential for expansion into other sports.

• Our team supported the client’s technical due diligence on the target company during the second stage.
• The assessment results were compiled into a report based on:
• Three days of presentations and Q&A with Senior Engineers and the management team of the target company.
• A check of algorithms for detection and tracking.
• Existing approach in CV, AI, and ML according to similar customer projects.

• Detailed Evaluation.
• Risk Identification
• Algorithm Assessment
• Technical Interviews
• Product Strategy Analysis
• Cloud Infrastructure

We provided the client with valuable insights to consider before investment. Our team conducted thorough technical assessments, identified the target company’s strengths in research, development, and engineering, and highlighted areas for improvement in product readiness and roadmap development. This information enabled the client to make an informed decision about the potential acquisition.

We conducted accurate evaluations of algorithms and engineering. The target company excels in research and development in Computer Vision (CV), Artificial Intelligence (AI), and Machine Learning (ML). It has a highly trained technical team, positive player monitoring and tracing outcomes, and a scalable cloud infrastructure. However, the target company’s product still needs to be market-ready. There needs to be a clear product roadmap detailing what is ready and what is in the pipeline.

From a technological perspective, the target company is a strong fit for the client.