Sandzhi-Garia Ochirov@Gary04

Private equity associates spend roughly 40 hours per target on preliminary due diligence—a full week lost to browser tabs, public filings, news archives, and litigation records, manually stitched into something an investment committee will trust. Most of that week isn't analysis; it's gathering. Vantage does it in 40 seconds. Point it at a company and it pulls from 12 distinct web sources at once, assembling them into a live knowledge graph: a connected map of the target's people, financials, legal exposure, customers, suppliers, and reputational signals. Relationships that normally take days to cross-reference appear instantly—the board member sitting on a competitor's audit committee, the lawsuit filed quietly three states away, the executive churn that began before the numbers softened. Red flags don't wait to be found. Vantage automatically surfaces litigation spikes, leadership departures, restatements, and regulatory actions, ranked and explained. A 90-day time slider lets you drag through recent history and watch the target's profile change—because knowing when something shifted is often more revealing than knowing that it did. Every claim is cited back to its source, so partners can audit it and committees can rely on it. Every memo lands IC-ready. This defensibility is powered by Bright Data, whose reliable, large-scale, structured web access makes a trustworthy knowledge graph possible where brittle scrapers and stale databases fail. We target middle-market PE associates—the highest willingness-to-pay segment in B2B software, where seats command $500–$2,000 per month. Their time is billed against nine-figure decisions, and a single avoided bad deal or faster close justifies the spend many times over. Vantage turns the most tedious week in the deal process into a 40-second starting point.

StoryTrace is a "Git for News" — a tool that tracks how a story mutates as it travels across global media outlets. You paste any article URL or type a topic (e.g. "Iran nuclear deal"). StoryTrace's 7-agent LangGraph pipeline springs into action: the Seed Agent finds the original wire story via GDELT, the Crawler Agent scrapes 15 RSS feeds across 8 countries, a Translator Agent localizes non-English coverage to English, the DNA Extractor (Featherless/Qwen2.5) pulls structured facts from each article, the Drift Scorer measures how many key facts each outlet dropped or distorted, the Geo Builder organizes coverage by country into a D3-ready tree, and an Alert Agent fires webhooks when drift exceeds a threshold. The results render as an interactive D3.js tree — nodes colored green (faithful), amber (moderate drift), red (high drift) — alongside a 3D globe showing which countries covered the story and how differently. Clicking any node reveals a DiffPanel showing exactly which facts were kept, dropped, or altered. The backend is FastAPI + LangGraph + PostgreSQL + Redis. The frontend is Next.js 16 with D3 v7 and react-globe.gl. AI layers: Featherless API (Qwen2.5-7B) for structured JSON fact extraction, Google Gemini for translation and optional world-impact forecasting, spaCy for local NER (zero tokens). The entire pipeline runs on ~4,000–6,000 tokens per story — lean by design. StoryTrace addresses a real problem: media consumers have no tool to see how coverage diverges from the original facts. We make that drift visible, quantified, and interactive.

App Architect Studio bridges the gap between rapid visual ideation and enterprise engineering. Developed for the IBM Bob Hackathon 2026, our platform allows developers to upload any UI mockup or screenshot and instantly watch it synthesize into scalable, structured, and multi-file production React code. Unlike generic image-to-code generators, App Architect Studio features deep repository context awareness powered by the IBM Bob integration. It automatically analyzes your existing codebase's file structures, state management rules, and component libraries to generate code that fits flawlessly into your ecosystem. Key Technical Pillars: Vision-to-Code Pipeline: Converts visual designs directly into organized React and TypeScript files. Style Lock Enforcement: Guarantees that all generated UI matches your exact corporate design systems, tailwind configs, or styling rules. Voice Mode Engine: Enables hands-free component modifications using real-time voice-to-code prompting workflows. Multi-Language i18n: Autogenerates localization files alongside components for instant global readiness. By transforming static screenshots into production-ready repositories, App Architect Studio cuts enterprise frontend development lifecycles from days to seconds while maintaining zero architectural debt.

RunwAI transforms air traffic control from reactive problem-solving to predictive, real-time prevention. The FAA manages over 45,000 flights daily across increasingly congested airspace, while delays and cancellations have grown at nearly double the rate of flight volume - costing the aviation industry over $30B annually. RunwAI addresses this by combining multimodal AI with AMD GPU acceleration. The system fuses three live data sources: OpenSky Network for real-time flight positions and transponder data, METAR weather feeds for atmospheric conditions, and live video streams for visual runway and airspace monitoring. These inputs are processed through an AI pipeline running on AMD Instinct MI300X GPUs, leveraging ROCm 5.x with HIP-optimized kernels for efficient tensor operations across inference workloads. Core capabilities include: (1) Predictive congestion detection - identifies emerging conflicts before they escalate; (2) Weather-aware intelligence - continuously analyzes weather severity and its impact on routes; (3) Intelligent rerouting - generates optimized flight paths balancing safety, fuel efficiency, and airspace capacity; (4) Explainable decision support - delivers evidence-based recommendations with confidence metrics. Performance benchmarks: sub-4ms detection latency, under 2-second response latency, 35% improvement in conflict detection, and over 99% rules check accuracy - processing 10,000+ flight updates per second. The live dashboard provides an airspace map view, conflict alerts panel, and AI-powered rerouting suggestions for controllers in real time.

🌍 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.