Perit.AI

Description

Builds training datasets for AI models through speech, video, image, text, and physical-intelligence data collection, plus transcription, alignment, labeling, and robot demonstration annotation.

Related

• Praxis RoboticsBuilds datasets from first-person human task demonstrations, using video, sensors, and annotations for robotics teams training robots for…
• DatoricProvides training data, custom collection, labeled egocentric task datasets, and robot demonstration data for robotics teams developing and…
• StableBrowseBuilds multimodal physical-world datasets for robot and embodied-agent training, converting real task recordings into aligned sensor…
• World LabsBuilds AI world models and Marble, a tool that generates editable, persistent 3D worlds from text, images, video, or panoramas for creative…
• Shiraz AIBuilds robots for manufacturing lines that learn new tasks from a single human demonstration, delivering hardware, model, and on-site…
• DeepInfraProvides AI inference APIs and model access for developers and enterprises running text, speech, image, video, embedding, and reranking…
• Luma AIBuilds AI models and agents that research, generate, and refine video, images, audio, and text for creative teams and brand workflows.
• Hebbian RoboticsBuilds open source infrastructure for physical AI, supporting robot development, robotics training data research, and finetuning for custom…
• ReplicateProvides APIs for running, fine-tuning, deploying, and customizing AI models, helping software developers add generation for images,…
• shotwell.aiAnnotates robotics training videos by segmenting long recordings into subtasks, validating SOP boundaries, detecting step failures, and…
• EnactBuilds a post-training layer for physical AI, generating robotics data, identifying policy failure states, creating targeted recovery…
• LuelBuilds multimodal machine perception systems, trains AI to listen, reason, and act, and offers dataset browsing, a data marketplace, and…