85
Databricks Mosaic AI
Build, serve, and govern models and agents directly on the Databricks lakehouse.
Strategic Product Influence — Editorial 85/100 · version not recorded
Score methodologyData AI Platform
Scale Data Engine
Data labeling, RLHF, and evaluation pipelines for training frontier and enterprise AI.
Scale Data Engine supplies the human layer of machine learning: annotation, RLHF data, and model-evaluation pipelines for labs, enterprises, and government. The business was upended when Meta paid $14.3 billion for a 49% stake, founder Alexandr Wang left to run Meta Superintelligence Labs, and Google and OpenAI dropped Scale over neutrality concerns. Under CEO Jason Droege, the engine now leans toward enterprise and public-sector work, including a $99 million U.S. Army contract.
Best for
Enterprises and government programs that need managed, human-in-the-loop data operations at contract scale — and that aren't competing with Meta. Frontier labs guarding training-data secrecy have already voted with their feet.
Surge AI and Mercor now court the frontier-lab work Scale shed, and Labelbox sells self-serve tooling Scale never bothered with. Scale's remaining edge is operational: full-stack managed pipelines combining contributor networks, layered QA, and evaluation — plus federal accreditation muscle boutique rivals lack, evidenced by the Army contract and a growing public-sector book.
Core features
Data curation
Collection and preparation of training and evaluation datasets across text, image, video, audio, and sensor data for ML programs.
Labeling operations
Managed annotation and RLHF pipelines combining trained contributor networks with layered quality control at contract scale.
Model evaluation
Benchmarking, red-teaming, and eval pipelines that measure model behavior — the demand line growing fastest as deployment scrutiny rises.
Pros
- + Full-stack managed pipelines — contributor sourcing, layered QA, RLHF, evals — that tooling-only rivals like Labelbox don't operate
- + Federal traction is concrete: a $99 million U.S. Army contract and an expanding public-sector business
- + Evaluation and red-teaming services meet rising demand as model debates shift from training data to measurement
Watchouts
- - No self-serve tier or published pricing; reported contracts start near $93K/year behind procurement-grade sales cycles
- - Meta's 49% stake cost Scale its lab neutrality — Google and OpenAI walked, and any confidentiality-sensitive buyer must underwrite that risk
Power List links
People behind Scale Data Engine
Alternatives
Frequently asked
What is Scale Data Engine?
Data labeling, RLHF, and evaluation pipelines for training frontier and enterprise AI.
Who builds Scale Data Engine?
Scale Data Engine is built by Scale AI.
How much does Scale Data Engine cost?
Scale Data Engine uses enterprise. Current tiers: Contact sales — reported contracts from ~$93K/year. Check the official site before buying — AI pricing changes often.