Scale Mapping offers a flexible, scalable, and transparent solution for generating precise maps for autonomous applications.
It involves a complex annotation process that breaks down map sections into tiles, and layers vector, semantic, and relationship annotations.
The mapping service aids in effective prediction, motion planning, and real-world testing down to centimeter-level accuracy.
Customers, such as Nuro and Domino's, use Scale Mapping to enhance localization and mapping, significantly improving delivery services.
Scale's new mapping technology supports inputs from multiple sensors and allows customers to own and update their HD maps with speed.

Scale specializes in data annotation, curation, and collection specifically tailored for AI applications, including autonomous vehicles and defense. Their offerings span from generative AI to reinforcement learning (RLHF), creating custom large language models (LLMs) to adapt AI initiatives to specific enterprise data. Collaborating with leading AI models from OpenAI, Google PaLM, and others, Scale facilitates the integration of enterprise data with these AI technologies. They deliver a full-stack generative AI platform, powering applications for federal, defense, and commercial sectors, emphasizing quality, safety, and strategic differentiation in AI deployment and management.

Scale

Data annotation, AI model training, generative platform, enterprise integration.

Scale Introduces Scale Mapping for Enhanced Autonomous Navigation

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