Ahmad Ali Arshad@ahmadaliarshad497

Every company runs on knowledge scattered across policies, SOPs, and the heads of whoever's been there long enough to remember the exceptions. AI agents don't have that instinct. Most "enterprise AI" tools just search documents and hand back a paragraph — which isn't enough for an agent to safely act on its own. BrainOS reads uploaded company documents and builds a structured company brain: entities, rules, and reusable Skill Cards — an auditable, executable definition of a business process, with its inputs, conditions, and action. Ask BrainOS a real question, and it retrieves the matching skill, checks each condition against the situation, and returns an answer with a full step-by-step reasoning trace, not a black-box response. The pipeline runs document upload, text extraction, LLM-based entity and skill extraction, vector storage in Qdrant, and agent reasoning, all through a provider-agnostic API layer. During development we used the Google AI Studio (Gemini) API; for judging, the same code path points at Fireworks AI, which serves inference on AMD Instinct GPUs, via a one-line environment swap. The working prototype: upload a policy document, watch entities and skills extract in real time on the dashboard, inspect the generated Skill Card, then ask a live question and watch the reasoning trace resolve. Not a search tool wrapped in a chat window — the structured knowledge layer AI agents need to act safely inside a real company.

VisionPay is a next-generation Agentic Commerce system built on the Arc Layer-1 blockchain, showcasing the future of the Machine-to-Machine (M2M) economy. It enables AI agents to autonomously understand user intent, reason over purchasing decisions, and execute payments using USDC—without manual intervention. The Problem: Modern commerce is fragmented and manual. AI systems can recognize products, and blockchains can process payments, but there is no unified system that allows an AI agent to autonomously connect visual understanding with onchain transactions. The Solution: VisionPay bridges this gap by combining Google Gemini 1.5 multimodal vision with Arc’s EVM-compatible settlement layer, enabling end-to-end autonomous purchasing driven by visual input. How It Works (Agentic Flow)? • Multimodal Perception: Users upload an image of a product (live camera or gallery). Gemini 1.5 Flash analyzes the image to identify the product, brand, and context. • Autonomous Reasoning: Using a LangGraph-based agent, the system acts as an independent broker—searching for comparable products and selecting the best available price. • USDC-Native Settlement: Once a decision is made, the agent constructs and signs a transaction via Web3, executing payment directly on the Arc Testnet using USDC as native gas, ensuring stable and deterministic settlement. Why Arc & Circle? Arc’s native USDC architecture removes volatility and currency-swap friction, allowing AI agents to hold and spend a stable, programmable currency. Circle’s USDC enables secure, transparent, and trust-minimized autonomous transactions for goods, APIs, and services. Key Technologies: AI: Google Gemini 1.5 (Multimodal Vision & Reasoning) Blockchain: Arc Layer-1 (Testnet) Currency: USDC (Native Settlement) Backend: FastAPI, LangGraph, Web3.py

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

Join our $1,000,000+ startup challenge series powered by Surge 📌 This announcement outlines the launch of a Global Human+AI Exchange — aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth. 👉 Read more here ⏱️ 8 days to turn your idea, or existing product, into an investable demo. 📅 February 6 - 15, 2026 • Feb 6 - 14 (Online Phase) - Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on February 14th. 🕙 Doors open at 10:00 AM, first come, first served. • Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. 🌟 Get feedback from startup mentors and technical experts. 📍 On-site Venue (Feb 14–15): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📲 Real-time on-site updates (SF) For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group: 👉 Join the WhatsApp group 🤝 Join solo or with a team. New founders and existing startups are welcome. 🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Apply now to build, validate, and pitch with purpose.

Join Deriv and lablab.ai for a high-intensity hybrid hackathon where top builders create AI prototypes, demo their work, and get fast-tracked to interviews. When • Sat, Jan 31, 2026- On-Site Pre-Hackathon: Deriv AI Meetup (Dubai) • Fri, Feb 6 - Opening words, Challenge, and Hackathon kick-off. (Dubai) • Sat, Feb 7 - Build and ship your prototype - 12 hours (Onsite +Online) • Sun, Feb 8 - Demos, judging, and next steps for standout teams. (Onsite +Online) On-Site Pre-Hackathon: Deriv AI Meetup Sat, Jan 31, 2026 · 2:00–6:00 PM (GST) · Dubai In-person talks, workshops, team formation, and networking with the Deriv team. 👉 Deriv AI Meetup registration What's in it for you • USD $10,000+ in prizes across categories • Mentors available to unblock you when you're stuck • Fast-track interviews for top performers - skip the queue • Real problems to solve - not toy demos Format • Teams of 1-3 • Hybrid: Dubai on-site or fully remote • On-site spots confirmed after screening Location • One by Omniyat, 24th Floor, Al Mustaqbal Street, Business Bay, Dubai, UAE • Travel and accommodation not provided. Apply now • Spots are limited. Shortlisting begins right after the event.