
AMD Strike Lab is a sports-engineering platform designed to democratize elite football coaching. While GPS trackers measure how much an athlete runs, Strike Lab measures how well they move, focusing on the technical mastery of the football strike. The Problem Professional biomechanical feedback is currently a "black box" reserved for the top 1% of clubs. Grassroots players rely on subjective observation, missing micro-errors in the kinetic chain—such as poor hip-to-knee synchronization—that lead to plateaued performance and injury. The Solution Leveraging the AMD Instinct™ MI300X and ROCm™ 6.0, Strike Lab processes standard smartphone video through a multi-stage AI pipeline: Precision Tracking: A 33-point skeletal analysis measuring plant-foot stability, knee extension velocity, and torso lean. Cinematic AI Narrator: An automated "digital coach" that edits a narrated analysis video, freezing frames at critical moments (backswing, impact, follow-through) to explain flaws via AI voiceover. Actionable Progression: A personalized dashboard that prioritizes form errors and links players directly to elite-level training drills.
10 May 2026

AI Code Companion transforms GitHub PRs into rich, interactive narratives. Leveraging Gemini and Qdrant (RAG), it indexes your entire repository to provide answers about dependencies and interactions beyond the current diff, giving you a holistic understanding of your codebase. Its standout features include “Live Mode,” where an AI autonomously explores, analyzes, and explains changes in real-time, and structured “Walkthrough Steps” that break down complex pull requests into a coherent, step-by-step story. Developers can ask line-specific questions, draft insightful comments, and visualize the review process like never before. More than just a tool, it acts as a context-aware copilot that truly understands your full codebase, empowering teams to review, learn, and collaborate more effectively.
19 Nov 2025

Team Forge is an AI Agent powered platform that revolutionizes how teams form and projects begin by replacing traditional keyword-based matching with conversational intelligence. Users simply talk to the AI about their goals, work styles, and interests, allowing it to understand their collaboration preferences and technical strengths beyond what any form could capture. The platform then generates compelling project ideas tailored to available talent and facilitates organic team formation around shared interests and complementary skills. When teams form, they receive custom kickoff packages with clear goals, defined roles, strategic discussion topics, and actionable next steps—eliminating the typical "blank page" problem that stalls many collaborations. Target markets include remote-first companies, innovation labs, startup accelerators, and freelancer networks seeking more intentional and effective team formation. The platform generates revenue through SaaS subscriptions, enterprise licensing, and marketplace commissions, with projections reaching $4M ARR by year three driven by strong network effects and high switching costs.
8 Jul 2025