Sana Adeel@SanaAdeel

FailSim AI is a multi-robot failure analysis platform that helps robotics companies discover why their robots fail before building physical prototypes. Instead of weeks of manual testing, teams can run 1000+ physics-based simulations overnight using PyBullet with real robot specifications (Kuka iiwa7, Franka Panda, UR5, or custom robots). Our platform uses Gemini 3 Flash AI to automatically analyze failure clusters and explain the physical mechanisms causing failures. The system provides interactive features including experiment configuration, real-time 5-frame simulation visualization, failure distribution charts, and click-to-analyze AI insights for individual runs. Built on Vultr infrastructure with a React dashboard, FastAPI backend, and deployed 24/7 at http://80.240.20.49. FailSim AI reduces testing time by 10x, cuts costs by 90%, and enables teams to fix issues in simulation rather than expensive hardware iterations. Perfect for robotics startups, QA teams, and research labs validating designs before real-world deployment.

ComplyFlow AI is an AI-powered compliance and workflow automation copilot designed to help organizations review documents against internal policies quickly and accurately. It uses multi-agent AI to analyze policy alignment, assign risk scores, and recommend workflow decisions such as approve, flag, or escalate. By automating complex compliance checks, ComplyFlow AI reduces manual effort, minimizes human error, and accelerates decision-making in regulated environments. The system combines document retrieval, intelligent reasoning, and explainable audit trails, making it suitable for real-world use cases in finance, operations, HR, and risk management while remaining transparent and easy to integrate into existing workflows

**Autonomy when you want it, Control when you need it, Billing infrastructure for AI agents** AgentInvoice is a dual-mode agentic invoicing and escrow system designed for the next generation of autonomous commerce on Arc. It enables AI agents and humans to create, approve, escrow, and settle USDC invoices securely using trustless smart contracts and Circle infrastructure. The core innovation of AgentInvoice is its dual-mode payment architecture. In Autonomous Mode, AI agents can independently negotiate terms, generate invoices, lock USDC into escrow, and release payments once predefined conditions are met — without human intervention. This is ideal for agent-to-agent commerce, API monetization, and automated service marketplaces. In Manual Mode, enterprises and users can require human approval before escrow funding or release, providing compliance, safety, and governance while still leveraging the same on-chain infrastructure. AgentInvoice uses USDC as the settlement asset and executes all transactions on Arc, ensuring deterministic finality, transparent verification, and predictable fees. Smart contract escrow guarantees trustless execution, automatic refunds, and deadline-based releases. To support adoption, AgentInvoice includes a developer-first toolkit: SDK for integrating agentic billing into applications REST APIs for invoice creation, escrow management, and settlement CLI tools for developers and operators Monitoring dashboards for invoice and escrow lifecycle tracking This allows builders to easily add agentic payments to AI systems while giving enterprises the controls they need to safely adopt autonomous workflows. AgentInvoice bridges the gap between fully autonomous AI commerce and real-world business requirements, making agentic payments practical, secure, and production-ready.

Qubic Sentinel is a real-time blockchain monitoring and alerting system built for Track 2 – EasyConnect Integrations. It continuously polls Qubic’s RPC endpoints, detects whale-sized token transfers, and instantly forwards alerts to any webhook-enabled platform—such as Discord, Slack, Make, Zapier, n8n, or Google Sheets. Designed for traders, analysts, and automation builders, Qubic Sentinel turns raw blockchain activity into actionable, real-time intelligence without requiring smart contracts. Key Features Real-Time Whale Detection Detects high-value QU transfers in live ticks and triggers alerts in under a second. EasyConnect Webhook Integration Works seamlessly with any EasyConnect-compatible webhook, enabling no-code automation workflows. Multi-Deployment Architecture React dashboard (UI for demos & visualization) PowerShell sentinel (Windows server monitoring) Node.js service (cloud deployment or Docker) How It Uses EasyConnect Qubic Sentinel sends structured webhook payloads directly to EasyConnect-compatible URLs. These payloads can be used to: Create Discord or Slack notifications Log whale movements into Google Sheets Trigger trading bots or AMM automation Update dashboards or market monitors Send Telegram or email alerts Chain workflows in Zapier, Make, or n8n This makes Qubic Sentinel a zero-code blockchain monitoring engine that bridges Qubic’s live blockchain data with the broader automation ecosystem. Why It’s Useful Traders monitor whale movements for sentiment and trend shifts DeFi teams track treasury or contract activity Analysts log big transfers for research Communities get real-time notifications Builders use it as a trigger engine for more complex automations The app turns raw blockchain events into instant, automated signals, empowering both developers and non-developers.

The SME Loan Risk Meta-Validator is an end-to-end intelligent workflow designed to streamline and modernize SME credit assessment. It automatically ingests loan applications from spreadsheets, portals, and supporting documents, then extracts and normalizes key information using OCR and AI-driven field extraction. The system enriches each application with external credit bureau and sanctions screening data, evaluates data quality and consistency, and applies transparent rule-based checks to enforce lending policies. For eligible cases, an AI risk model produces nuanced risk and eligibility scores, which are combined with rules to determine whether to auto-approve, auto-reject, or escalate for human review. An agentic policy reviewer ensures alignment with credit policies, fairness guidelines, and regulatory expectations. Every application generates a complete audit artifact—including inputs, risk reasoning, rules fired, and review actions—providing full traceability for risk teams and regulators. This workflow improves decision accuracy, reduces manual workload, ensures compliance, and delivers a scalable, consistent framework for SME lending.

AI Subscription Payment Agent on Arc is an autonomous, blockchain-based subscription system designed to simplify micropayments for content creators. Built on the Arc blockchain, it leverages native USDC for stable, on-chain recurring payments while minimizing transaction fees through Arc’s deterministic fee model. The system integrates Solidity smart contracts for subscription registration and automated payment execution, along with an off-chain AI agent that dynamically adjusts subscription pricing based on user engagement metrics. A web frontend allows users to manage subscriptions, monitor payments, and interact seamlessly with the AI-powered system. This project demonstrates the fusion of blockchain, AI automation, and real-world financial utility, offering a scalable solution for content monetization.

QAaaS-MVP (Quality Assurance as a Service) implements the “Internet of Agents” concept by connecting multiple specialized AI agents into a cohesive system. Each agent performs distinct tasks—repository cloning, automated testing, code aggregation, and unit testing—while communicating through a central server for orchestration. This project demonstrates real-time agent registration, heartbeat monitoring, and task execution, allowing developers to automate QA pipelines efficiently. The modular architecture supports easy addition of new agents, integration with GitHub repositories, and optional Coral Studio monitoring. QAaaS-MVP showcases scalable AI-driven automation, making software development faster, more reliable, and smarter.

CoachAI is an AI-powered personal assistant designed to simplify learning new applications. Users provide natural language instructions, and CoachAI automatically executes the actions on a virtual canvas while logging every step in an interactive transcript. Each step can be replayed on hover for better understanding, and the entire session can be exported as PDF or Word for later reference. By leveraging GPT-5 Agent Mode, CoachAI reduces the time and frustration associated with mastering new apps, empowering users to learn faster, more efficiently, and confidently. It’s scalable to any app, providing a seamless learning experience.

HoloMentorX is an AI-powered contract auditing and mentoring platform built for the Qubic Track, combining the speed of Groq, intelligence of Meta’s LLaMA, and modular automation via Fetch.ai agents. It enables developers to submit smart contracts and instantly receive deep audits, vulnerability analysis, human-readable explanations, and automated tests. Our architecture supports: Groq-accelerated LLaMA inference for fast, detailed contract breakdowns. Fetch.ai-based agents to modularize tasks like auditing, testing, and summarization. A clean, React-based frontend + FastAPI backend for seamless UX. Multi-agent reasoning: multiple LLM calls work together to offer an audit decision and next action. HoloMentorX aims to solve the bottleneck of slow, expensive audits—enabling safer Web3 development for all.

⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88 This is where your build-in-public activity will take place.

🔍Create AI-driven solutions using open-source technologies to optimize public sector network management—planning, procurement, and maintenance—for scalable, sustainable school connectivity in underserved regions. 📅 Join us January 24-26: Participate online or in person in Geneva to develop innovative solutions with peers globally. 👨‍🏫 Work alongside industry mentors for insights and guidance on your projects. 🏆 Compete for a chance to join the Lablab NEXT incubator program! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

🕒 2 days to innovate and build groundbreaking applications using the latest generative AI tools 🌟 Expert mentors will guide you every step of the way. 🤝 Work alone or form a team to build something extraordinary. 🏆 Win an opportunity to participate in the Lablab NEXT acceleration program. 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

⏱️ 2 days to explore and create innovative applications powered by DeepSeek's advanced AI search capabilities. 🌟 Receive guidance from expert mentors who will support you throughout the challenge. 🤝 Collaborate with others or work independently to bring your groundbreaking ideas to life. 🏆 Compete for an opportunity to participate in the prestigious lablab NEXT acceleration program. 🧑‍💻 Secure your spot now and dive into the transformative world of AI-driven insights with DeepSeek!