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Mechanical Turk for enterprises.
"Computers are incredibly fast, accurate and stupid; humans are incredibly slow, inaccurate and brilliant; together they are powerful beyond imagination." Playment is a fully managed data labeling platform generating training data for computer vision models at scale. We empower companies in the Autonomous Vehicle, Drones, Mapping, and similar spaces with high precision annotation services - No matter how complex. We’re helping companies and research institutions like Drive AI, Starsky Robotics, CYNGN, and UIUC focus on their core areas of development. Our platform is powered by a trained workforce of 300,000+ users and managed by our human intelligence experts who build your tasks and deliver results with assured quality. Support Annotation types: Bounding Boxes, Cuboids, Polygons, and Polylines, Point annotations, Segmentation(coming soon) for both image and video data types. Interested to hear more? please check out https://playment.io Use Cases we worked on: Autonomous vehicles, drones, satellite imagery, precision agriculture, Retail / eCommerce, sports analytics
Playment positions itself as a data and training-data solution for AI, focusing on high-quality, diverse, and ethically sourced data to support frontier AI development, including multimodal, multilingual, and agentic AI. It emphasizes end-to-end data solutions, expert-driven data collection, and verification to train and improve AI models.
Offers end-to-end data solutions for AI training, including data collection, multimodal annotation, post-training data, and safety evaluations. Provides access to global experts via AI-powered interviews and proctored testing, with fraud detection and fair compensation. Delivers data for AGI/GenAI, physical AI robotics data, and data for search ads, plus off-the-shelf datasets and an integrated platform to manage data pipelines with built-in QA and compliance controls.
Who it’s for: Enterprises and model development teams seeking high-quality, diverse training data for frontier AI, including AGI, multimodal and robotic AI projects; organizations needing data governance and privacy compliance.
Hiring and partnerships evident through enterprise-focused data solutions and talks of global expert access; mentions of enterprise-grade data privacy and compliance imply active enterprise traction.
Figuring out. Earlier, built Playment (training data for AI) - exited to TELUS (NYSE listed), ran product/tech for $400M portfolio.
Previously Co-founder & Head of Product @ Playment [W17] - acquired by Telus Digital
How Playment’s homepage introduced itself over the years — each line is the page title the web actually saw, linked to that moment’s archived capture.
Natural language processing APIs for developers.
Harnesses business activity to unlock growth.
