
Training AI/ML models is still largely a game of educated guesswork. Engineers configure hyperparameters, pick hardware, estimate budgets, then launch training jobs that can run for hours or days, only to discover the configuration was wrong. The model didn't converge. It ran out of memory. It cost ten times more than expected. By then, the compute is already spent. There is not a good solution in the market . Tools like TensorBoard and W&B only provides data and analysis on what already happened. But they don't answer the question that actually matters: what's going to happen before you start? PreFlight changes that. It's an AI training intelligence platform that analyzes your project before a single GPU is allocated. Predicting cost, runtime, VRAM requirements, convergence likelihood, and hardware fit. It recommends optimal configurations: the right GPU, batch size, learning rate, precision settings. During training, it monitors health in real time, catching problems before they become expensive failures. And it learns from every completed experiment, getting smarter with each run. It uses trained ML models for duration prediction and cost estimation, plus a fine-tuned Gemma 4B model that interprets complex training configurations and generates actionable recommendations. The platform runs on AMD GPU instances. We fine-tuned a Gemma explainer model using AMD's notebook environment. It's deployable on AMD Developer Cloud or Fireworks AI. Everything is containerized for easy deployment.
13 Jul 2026

**Supaband** is a multi-agent management system that can manage your business, projects, or basically any workflow where multiple agents need to collaborate. The core idea is simple — you have **Supa**, the main supervisor agent, and whenever you need specialized work done, Supa can spawn new agents and build custom teams dynamically. Need coding agents? Supa creates worker agents for software development. Need marketing? It creates strategy and production agents. For our hackathon demo, we are showing an autonomous business management system where you give Supa a business idea, and it brainstorms, creates marketing strategies, assigns tasks to other agents, and executes them automatically. Agents can create content, generate images/videos, manage a production dashboard, periodically create social posts, and send completed work for approval through a task board system. We also designed it to integrate third-party services for execution, like external production APIs such as Higgsfield. The bigger idea is interoperability. Supaband agents are not limited to the system itself — you can connect external agents running elsewhere. For example, if you have an OpenClaw agent managing a VPS remotely, Supa can connect with it, delegate tasks, and manage your infrastructure without you logging in manually. In short, instead of AI helping with single tasks, Supaband lets you build an autonomous workforce that can actually run operations for you.
19 Jun 2026