A service that aggregates and analyzes publicly available court record data from RSS feeds (like PACER), providing users with comprehensive, searchable, and easily digestible insights into bankruptcy proceedings and legal trends without costly fees.
A software solution for game developers (like Valve) to manage and track music licensing usage within their games, ensuring compliance with performing rights organizations like the Performing Right Society. It generates licensing reports and handles royalty payments.
A risk management and fraud detection platform specifically designed for crypto lending platforms. It monitors transactions in real-time, alerts lenders to potential swaps with excessive price impact (like the $50M Aave incident), and facilitates automated halts on risky deposits/withdrawals, aiming to prevent bankruptcies.
An API that aggregates and normalizes court record data from publicly available RSS feeds, eliminating the need for individual users to access PACER. It provides structured data for researchers, journalists, and legal professionals.
Voltage Insights
An analytics tool for electric vehicle (EV) owners and manufacturers that provides real-time data on charging speed, voltage levels, and battery health. It allows users to optimize charging habits and identify potential battery degradation issues.
A software solution for game developers and publishers to facilitate licensing and royalty payments for music used within their games. It would automate tracking music usage, identify rights holders, and generate royalty reports.
A real-time monitoring and analytics dashboard for digital asset swap pools, specifically focusing on identifying and alerting users to potentially harmful swap transactions that exceed predefined thresholds (e.g., 25% price impact). It would learn from past incidents and suggest optimal shield configuration based on market conditions.
A background verification platform incorporating adversarial AI detection. It incorporates not only standard background checks but also scans for behavioral patterns, social media activity, and digital footprints indicative of malicious profiles and potential security risks, drawing insights from recent geopolitical events.
A software solution that aggregates and parses publicly available data from sources like PACER and RSS feeds, delivering structured, searchable, and easily digestible legal data for legal professionals, journalists, and researchers.
A SaaS platform that predicts and optimizes EV charging speeds based on voltage variability and infrastructure conditions, offering drivers personalized charging recommendations and providing grid operators with insights for load balancing.
A tool extending the prototype generated by AI by adding the missing hours for “shipping” it to real deployment using AI translations. Users can perfect AI prototypes made by platforms like Claude Code in a very low cost, which in turn promotes more development.
A centralized data management and analysis platform for de-extinction research, facilitating collaboration and accelerating the revival of extinct species. It handles genomic data, environmental simulations, and progress tracking, catering to scientific teams like Colossal Biosciences.
A data analytics dashboard specifically tailored for online content creators (like skit-makers and streamers). It tracks key metrics (views, engagement, revenue, audience demographics) and provides actionable insights to optimize content creation and monetization strategies. Focuses on Lagos content creators.
Deterrence AI
A real-time threat assessment and response system designed for security personnel in low-visibility environments, inspired by military strategies. It uses AI to analyze sensor data (audio, video, thermal) and identify potential threats, minimizing false positives and enabling proactive responses, addressing concerns about 'chosen blindness' in security operations.
A utility library and CLI tool simplifying interactions with Microsoft Dynamics Web APIs by automatically resolving polymorphic fields. Eliminating the need for developers to manually handle different property names and data binding formats improves integration efficiency and reduces errors.