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We build blazing-fast, AI-powered web apps using the latest tech. From React to GPT-4, our stack is built for speed, scale, and serious results.
What Powers Our Projects
Every project gets a custom blend of tools—no cookie-cutter code here. We pick the right tech for your goals, so your app runs smooth and grows with you.
“Great tech is invisible—until it blows your mind.”
We obsess over clean code, modular builds, and explainable AI. Weekly updates and async check-ins keep you in the loop, minus the jargon.
Trusted by startups, educators, and SaaS teams who want more than just ‘off-the-shelf’ solutions.
We don’t just follow trends—we set them. Our toolkit is always evolving, so your product stays ahead of the curve.
From MVPs to full-scale platforms, we deliver fast, flexible, and future-proof solutions. No tech headaches, just results.
Ready to build smarter? Let’s turn your vision into a launch-ready app—powered by the best in AI and web tech.
Lid Vizion: Miami-based, globally trusted, and always pushing what’s possible with AI.
From Miami to the world—Lid Vizion crafts blazing-fast, AI-powered web apps for startups, educators, and teams who want to move fast and scale smarter. We turn your wildest ideas into real, working products—no fluff, just results.
Our Tech Stack Superpowers
We blend cutting-edge AI with rock-solid engineering. Whether you need a chatbot, a custom CRM, or a 3D simulation, we’ve got the tools (and the brains) to make it happen—fast.
No cookie-cutter code here. Every project is custom-built, modular, and ready to scale. We keep you in the loop with weekly updates and async check-ins, so you’re never left guessing.
“Tech moves fast. We move faster.”
Trusted by startups, educators, and SaaS teams who want more than just another app. We deliver MVPs that are ready for prime time—no shortcuts, no surprises.
Ready to level up? Our team brings deep AI expertise, clean APIs, and a knack for building tools people actually love to use. Let’s make your next big thing, together.
From edge AI to interactive learning tools, our portfolio proves we don’t just talk tech—we ship it. See what we’ve built, then imagine what we can do for you.
Questions? Ideas? We’re all ears. Book a free consult or drop us a line—let’s build something awesome.
Fast MVPs. Modular code. Clear comms. Flexible models. We’re the partner you call when you want it done right, right now.
Startups, educators, agencies, SaaS—if you’re ready to move beyond just ‘playing’ with AI, you’re in the right place. We help you own and scale your tools.
No in-house AI devs? No problem. We plug in, ramp up, and deliver. You get the power of a full-stack team, minus the overhead.
Let’s turn your vision into code. Book a call, meet the team, or check out our latest builds. The future’s waiting—let’s build it.
• AI-Powered Web Apps • Interactive Quizzes & Learning Tools • Custom CRMs & Internal Tools • Lightweight 3D Simulations • Full-Stack MVPs • Chatbot Integrations
Frontend: React.js, Next.js, TailwindCSS Backend: Node.js, Express, Supabase, Firebase, MongoDB AI/LLMs: OpenAI, Claude, Ollama, Vector DBs Infra: AWS, GCP, Azure, Vercel, Bitbucket 3D: Three.js, react-three-fiber, Cannon.js
Blogs
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Basketball generates constant film: practice, scrimmages, games, scouting, player development sessions, and training clips. The challenge is that turning that video into usable insights often requires either expensive enterprise systems or an internal computer vision team.
For clubs, academies, leagues, and basketball apps, the practical middle path is lightweight video analytics: reliable player/ball detection, tracking, and event tagging that can run near the video (edge, on-prem, or low-cost cloud) without becoming an ML ops company.
If you can reliably track players and the ball, you can generate coach-ready answers: spacing, pace, shot selection, defensive rotations, and possession-level efficiency. That turns film review from “rewind and guess” into structured, searchable insight.
Automated tagging (shots, rebounds, screens, turnovers, transition events) reduces manual film work and helps staff spend time coaching—not scrubbing timelines.
First: detect players, ball, hoop/backboard, and optionally referees. Modern real-time detectors like YOLO are commonly used to bootstrap robust detection pipelines.
Then: track identities across frames. Tracking is how you move from “there are 10 players” to “this is Player 7 across the entire possession.” Approaches like ByteTrack and Deep SORT are widely used in multi-object tracking pipelines.
Finally: you add the basketball brain. Rather than trying to train one giant end-to-end model, we combine lightweight models with rules informed by the game:
We design pipelines so you can run inference on-prem or near the edge, and store only derived metrics/events when you need to minimize risk.
A simple production pattern:
Swap these placeholders with your own GIFs or short loops from games and training.
[GIF_PLACEHOLDER: PLAYER + BALL TRACKING — full-court clip with IDs + ball trace]
[GIF_PLACEHOLDER: SHOT DETECTION — ball arc + rim zone highlight]
[GIF_PLACEHOLDER: PICK-AND-ROLL TAGGING — handler/screener/defender roles]
[GIF_PLACEHOLDER: DEFENSIVE ROTATION — help-side + closeout overlay]
[GIF_PLACEHOLDER: TRAINING DRILL — finishing drill with rep counting + efficiency score]
When we build basketball performance systems, we rely on proven foundations and public references—then customize to your footage, your KPIs, and your product goals.
Send us 3–5 clips (practice + game), your camera types, and the outcomes you care about (development, tactics, recruiting, content). We’ll map a lightweight plan and the fastest path to a production feature you can sell.