voxel51

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

Modal is a cloud function platform designed for AI, machine learning, and data teams, enabling the execution of compute-intensive applications without the need to manage underlying infrastructure. The platform supports fast, serverless execution of Python code with automatic elastic scaling and GPU support, allowing developers to seamlessly deploy inference endpoints, batch jobs, and scheduled tasks. Modal simplifies the configuration complexity of container environments, hardware requirements, and persistent storage through an intuitive Python interface, charging only for actual compute time used. Deeply integrated with Oracle Cloud Infrastructure, it delivers high performance and cost-efficiency for large-scale AI workloads.

Deep Lake is a data infrastructure solution purpose-built for AI and machine learning workloads. Its core product, Deep Lake, is an open-source, serverless database optimized for storing, versioning, and streaming large-scale multimodal datasets such as images, videos, audio, and point clouds. By simplifying complex data pipelines and enabling seamless integration with machine learning models, Activeloop accelerates AI product development for researchers, startups, and enterprises. The platform supports multi-index retrieval, sub-second query latency, and flexible model integration, empowering teams to build highly accurate, scalable, and cost-effective AI systems.

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.

Denvr Dataworks offers comprehensive cloud and hybrid services designed specifically for AI developers, researchers, and enterprises. The platform provides on-demand and dedicated access to the latest GPU architectures, turnkey private cloud solutions, and fully managed AI infrastructure. Denvr's services are optimized for AI training, inference, and data-intensive workloads, eliminating the need for hardware management while offering transparent, usage-based pricing. With a focus on ease of use, scalability, and expert support, the platform enables rapid deployment and efficient scaling of AI projects.

Neosync is a cloud-native, open-source data security and synchronization platform designed for developers, data engineers, and AI/ML engineers. It enables secure usage of production data by masking sensitive information, generating high-quality synthetic data, and creating data subsets for local and pre-production environments. Neosync ensures referential integrity across complex database schemas and supports a wide range of relational and NoSQL databases. The platform seamlessly integrates with CLI, SDK, API, and Terraform modules, offering robust orchestration capabilities, automatic retries, and flexible data synchronization options to empower developers with greater efficiency.

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.