

Reviewing dense legal contracts manually takes hours of senior legal counsel time and costs thousands of dollars, creating a major bottleneck for sales, procurement, and startups. ContractIQ solves this by utilizing Google Gemini 2.5 Flash to automatically audit and analyze any contract in under 20 seconds with human-attorney level precision. ContractIQ provides a comprehensive suite of legal analysis tools: 1. Intelligent Risk Scorer: Assesses the contract on a 1-10 scale and details specific liabilities, severity levels, and concrete mitigation steps. 2. Automated Clause Analyzer: Maps, categorizes, and summarizes critical clauses (e.g., Liability, IP, Termination) and classifies them as favorable or unfavorable. 3. Interactive AI Attorney Chat: A context-aware chatbot allowing users to query contract terms, retrieve text snippets, and receive immediate legal explanations. 4. Red Flags & Recommendations: Surface hidden legal landmines instantly and get drafted alternative language ready for negotiations. 5. Multimodal Image Parsing: Uses Google Gemini's vision capability to parse scanned PDFs and images seamlessly. Built with a premium enterprise design system using Next.js 14, Tailwind CSS, TypeScript, and Firebase. ContractIQ represents a production-grade, state-of-the-art solution that unlocks instant legal intelligence for any size enterprise.
19 May 2026

Companies spend billions of dollars annually having lawyers manually review contracts. These documents are dense, complex, and full of hidden legal landmines. For non-legal teams (like sales or procurement), understanding a contract takes hours of reading or expensive outside counsel, causing deal bottlenecks and exposing the enterprise to massive risk. The Solution: ContractIQ transforms contract review from a slow, manual chore into an instant, automated process. Powered by Google Gemini, ContractIQ is an enterprise-grade contract intelligence platform that analyzes any legal document in under 30 seconds with the precision of a senior attorney. Key Features: Instant Risk Scoring: Automatically evaluates the overall risk of a contract on a 1-10 scale, providing a clear dashboard for portfolio management. Red Flag Detection: Surfaces unfair terms, one-sided obligations, hidden penalties, and critical liability caps before you sign. Clause Extraction: Instantly extracts and categorizes essential clauses, including liability, termination, intellectual property, payment, and confidentiality. Chat with Your Contract: An interactive AI assistant allows users to ask plain-English questions about the document (e.g., "Is the IP clause fair to us?") and receive attorney-quality, context-aware advice. Technical Implementation: We built ContractIQ using a modern stack optimized for speed and user experience. The frontend is powered by Next.js 14 (App Router) and styled with Tailwind CSS for a premium, responsive interface. The core intelligence relies on the Google Gemini 1.5 Flash API, specifically leveraging its massive context window and rapid processing speed to analyze complex, multi-page legal PDFs in seconds. ContractIQ democratizes legal intelligence, ensuring your team never signs a contract blind again while saving thousands in legal fees.
19 May 2026

NeuroPay is a live, deployed Pay-Per-Inference AI API competing in the Usage-Based Compute Billing track. It is hosted at https://neuropay-arc.onrender.com and powered end-to-end by Circle's infrastructure on Arc. THE PROBLEM: AI inference requires fair usage-based pricing — but traditional blockchain gas fees destroy the economics. Ethereum gas costs $2.50 per transaction, which is 1,667 times more than a $0.0015 inference charge. Even Polygon at $0.05 gas is 33 times the payment value. Sub-cent AI billing is economically impossible on traditional chains. THE SOLUTION: Circle Nanopayments on Arc eliminates gas overhead entirely. NeuroPay charges exactly $0.001 per 100 tokens in USDC, settled on Arc in under one second with zero gas cost — giving providers 100% margin retention. WHAT WE BUILT: - Real AI inference using Groq's Llama 3.1 model — actual tokens counted, actual billing - Circle Nanopayments integration for gas-free USDC settlement on Arc - Agent-to-agent payment simulation showing autonomous AI economics - Live transaction feed with Arc tx hashes verifiable on the block explorer - Cumulative analytics dashboard tracking USDC volume vs traditional gas costs - Full REST API with /infer, /deposit, /stats, /margin-analysis endpoints - Professional web dashboard showing real-time billing metrics KEY PROOF POINTS: - 55+ on-chain transactions demonstrated at sub-cent pricing - $0.00 gas cost across all transactions via Nanopayments - Traditional gas equivalent saved: $5.50+ across the demo - Margin multiplier: 66x more efficient than Polygon, 1,667x vs Ethereum NeuroPay proves that usage-based AI billing at machine scale is only viable on Arc with Circle Nanopayments — and shows exactly what the agentic economy infrastructure layer looks like.
26 Apr 2026