Fahmi Raditya@kzkf_

NarrativeAegis™ is an enterprise-grade AI Search Visibility (AISO) and reputation protection platform built for the generative search era. As search engines transition from lists of links to answering queries directly via generative AI summaries (like Google AI Overviews), brands lose visibility and control over their public narrative. NarrativeAegis solves this by providing a comprehensive auditing, benchmarking, and corrective action suite. Using Bright Data's high-performance SERP API, the platform bypasses geo-restrictions to execute multi-market, multi-lingual searches across informational, comparative, and transactional user intents. It extracts raw AI Overview contents, organic results, and citations in parallel. The cognitive layer, powered by Google Gemini 3.1 Flash, analyzes text blocks to compute exact sentiment scores, extract core claims, and evaluate competitor presence. These metrics feed into the proprietary AI Visibility Score (AVS) index, which weights presence rate, sentiment, share of voice, and geographic parity. Crucially, the platform maps cited websites to identify 'Poison Sources'—negative, outdated, or competitor-biased content influencing the AI's response. It ranks these sources using an impact vs. fixability framework and generates a step-by-step Corrective Action Playbook, giving PR and SEO teams clear, actionable strategies to reclaim their brand narrative. NarrativeAegis is wrapped in a premium, glassmorphic dashboard built using Next.js 15, custom HSL styling, and GSAP micro-animations. It operates with a zero-database footprint, utilizing React Context and LocalStorage to synchronize search history dynamically, ensuring high speed, maximum privacy, and seamless local evaluation.

International trade currently suffers from manual HS code classification errors and slow customs audits that can take 3-7 days per shipment, creating massive supply chain bottlenecks and high compliance costs. TariffGuard AI solves this by introducing an advanced artificial intelligence system designed to automate and optimize tariff classification, regulatory compliance checking, and customs audit documentation. Our solution utilizes a sophisticated multi-agent system powered by Google's Gemini AI and the CrewAI framework. Three specialized agents work collaboratively: 1. The Product Classifier Agent for accurate HS code determination using General Rules of Interpretation. 2. The Customs Scraper Agent for fetching real-time tariff rates, FTA eligibility, and screening sanctions. 3. The Legal Auditor Agent for comprehensive risk, dual-use restrictions, and penalty exposure assessment. By automating these complex workflows, TariffGuard AI reduces audit time by 99% (from several days to merely 5-10 minutes) while maintaining an accuracy rate exceeding 94%. It helps prevent 5,000−50,000 in potential penalties per shipment and offers a completely transparent reasoning chain for compliance audit trails. TariffGuard AI provides import/export companies, customs brokers, and e-commerce platforms with a scalable tool to navigate complex global trade regulations confidently.

ContextForge addresses the "last mile" problem in Machine Learning engineering: the gap between experimental research code and production-ready APIs. Often, ML repositories are undocumented and difficult to deploy. ContextForge bridges this gap by utilizing advanced static analysis (AST) and AI-driven insights to "forge" a complete production wrapper in seconds. Developed in collaboration with IBM Bob IDE, the platform analyzes any Python-based ML repository to identify entry points, dependency maps, and model frameworks. It then generates a high-performance FastAPI implementation, Pydantic data models for validation, and optimized Docker configurations. Beyond code generation, ContextForge leverages Google Gemini to provide a comprehensive "Developer Guide," offering architectural deep-dives and production readiness recommendations. The entire experience is wrapped in a professional dashboard following the IBM Carbon Design System. By automating repetitive scaffolding and documentation tasks, ContextForge empowers developers to turn their ML ideas into scalable impact faster than ever before, ensuring architectural integrity and design excellence from day one.

Enterprise decision-making is often plagued by departmental siloes and unforeseen market "Black Swans." OrgTwin is the "Flight Simulator" for the modern corporation. Powered by Gemini 1.5 Pro and Flash, OrgTwin creates a digital twin of strategic logic where specialized AI agents—representing the CFO, CMO, and CTO—negotiate budget allocations and resource pivots in real-time. Unlike static dashboards, our engine leverages Gemini’s multimodal capabilities to ingest complex financial reports (Excel), strategic memos (PDF), and infrastructure monitoring (Vision). During simulations, the engine injects "External Shocks" such as price wars or sudden regulatory shifts, forcing agents to negotiate a consensus that protects the firm's 20% profit floor. Every decision is validated by a dedicated "Auditor" agent using Explainable AI (XAI), ensuring all pivots are mathematically sound and compliant with the "Lobster Trap" security protocol. By integrating Graph Theory, OrgTwin visualizes corporate risks as interactive Strategic Dependency Networks. This empowers C-Suite executives to move beyond "gut feeling" and embrace data-driven, stress-tested strategies. OrgTwin isn't just an AI wrapper; it is the strategic heartbeat of a resilient, intelligent enterprise.

ForgeAgent AI redefines data science by replacing manual workflows with an autonomous, multi-agent CrewAI system. Data engineering is traditionally bottlenecked by tedious tasks: cleaning messy datasets, selecting algorithms, tuning hyperparameters, and translating complex metrics into actionable business intelligence. We built ForgeAgent to automate this entire lifecycle with zero human intervention. The system orchestrates three specialized AI agents: a Data Architect that dynamically maps schemas and generates Python code to handle anomalies; an ML Scientist that autonomously evaluates and trains predictive models; and an Insight Strategist that translates raw model outputs into comprehensive, jargon-free executive reports. Under the hood, ForgeAgent leverages the massive 192GB HBM3 memory and immense compute of the AMD Instinct™ MI300X GPU. We deployed Qwen 2.5 32B models locally using vLLM and ROCm within a Dockerized environment, ensuring low-latency inference and total data privacy. The fully self-hosted architecture integrates a sleek Next.js frontend with a FastAPI backend, delivering a seamless, real-time telemetry dashboard. ForgeAgent transforms raw CSVs into strategic business value in minutes, not weeks.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.