Scale AI

United States·San Francisco

Training data and model evaluation

What they do

Founded in San Francisco in 2016, Scale AI provides data labelling, training data and model evaluation to AI labs and government customers. Meta took a large stake in 2025 and founder Alexandr Wang joined Meta.

Latest coverage

Stories in the feed that mention this company
ModelsBuildersSelected00:13
Scale AI Post-Trains NVIDIA Nemotron 3.5 Super VL

Post-training a smaller open NVIDIA model to match frontier accuracy at 1/40 the inference cost is a concrete signal that domain-specific fine-tuning can undercut flagship APIs for production agent workloads. Teams running high-volume ticket or support agents should benchmark Nemotron 3.5 Super VL against their current frontier model on cost and latency. The Skydance collaboration shows enterprises bringing their own production data to post-training partners.

官方账号Scale AI@scale_AISource
ModelsBuildersSelected23:26
NVIDIA and Scale AI launch Nemotron 3.5 Super VL

Specialisation, not scale, is the pitch: NVIDIA supplies open post-training tooling while Scale AI contributes the data and evaluation layer, so the joint value is a pipeline for tailoring Nemotron 3.5 Super VL to vertical workloads. Enterprises weighing specialised fine-tunes against frontier general models, and teams already in the NVIDIA ecosystem, are the natural audience. Availability details and pricing were not in the announcement.

官方账号Scale AI@scale_AISource