pathway

Autonomous mobility service enabling driverless operation on urban roads

AI data platform for annotating text, audio, images, video, and 3D data, plus model evaluation

An open-source hardware platform offering sensors, communication modules, and edge computing devices for prototyping.

A computer vision development platform for managing datasets, training models, and deploying inference services.

Browser extension that automatically captures screen activity and logs to generate defect reports

A developer productivity platform supporting structured code reviews and incremental change management

Ballpark is a fast, intuitive platform that helps product teams gather actionable user feedback throughout the development lifecycle. It enables testing of websites, Figma prototypes, marketing copy, and competitor offerings—no installation required. Ballpark integrates surveys, interactive tasks, and audio-video recording to capture authentic user reactions and in-depth insights. With access to a large global respondent panel and extensive screening options, teams can quickly recruit relevant testers. Unlimited team seats and collaboration features democratize research across organizations, enabling data-driven decisions, shortening project timelines, and improving product-market fit.

Geekbench is a comprehensive benchmarking tool designed to evaluate the CPU and GPU performance of computers, smartphones, and tablets. It supports multiple operating systems including macOS, Windows, Linux, Android, and iOS. By simulating real-world tasks such as image processing and machine learning, Geekbench provides detailed scores for single-core and multi-core CPU performance as well as GPU computing capabilities.

Captum is a comprehensive model interpretability library built on PyTorch, designed to help researchers and developers analyze which features, concepts, or training examples influence model predictions. It supports a wide range of PyTorch models and multiple modalities including vision, text, and audio. Captum provides state-of-the-art attribution algorithms such as Integrated Gradients and concept-based methods like TCAV, along with robustness tools to detect vulnerabilities through adversarial attacks and perturbations. Its extensible design facilitates both research and practical troubleshooting to enhance model transparency and reliability.

Responsible AI Institute (RAI Institute) is an independent nonprofit organization dedicated to advancing the adoption of trustworthy AI across industries. It offers actionable AI governance tools, validation and certification programs, and risk monitoring services designed to enable the large-scale implementation of responsible AI. The Institute collaborates with global academic labs, policymakers, and AI providers to ensure alignment with evolving regulations and industry standards. Its product offerings include AI benchmarking, compliance automation, and workforce upskilling programs to support ethical, fair, and transparent AI deployment.

Eyeballer is an innovative AI-powered tool designed to help penetration testers efficiently analyze large volumes of website screenshots and identify pages that may contain security vulnerabilities. Leveraging convolutional neural networks, Eyeballer classifies rendered web pages into categories such as login pages, legacy-style sites, custom 404 pages, and homepages. This automation significantly reduces the manual screening effort in large-scale external network assessments, enabling security professionals to focus on high-value targets. Serving as a powerful complement to traditional scanning tools, Eyeballer provides a visual analysis layer that is difficult to achieve through signature-based detection alone. The tool is open-source and supports GPU acceleration for both training and inference, offering flexible adaptation to diverse testing environments.

Pulse Labs is a platform that integrates AI with user experience research, dedicated to collecting authentic user feedback, conducting advanced AI model testing, and securely managing large-scale audio and video data. The platform offers a range of tools including prompt testing, benchmarking, training dataset creation, and user behavior analysis, supporting in-app real-time feedback, session replays, and AI-driven prioritization of user insights. This enables product teams to efficiently optimize user experiences and enhance AI model performance. Pulse Labs strictly adheres to privacy and compliance requirements and supports customizable workflows, serving industries such as technology and healthcare, and delivering valuable insights across the entire product lifecycle.