TRAINING & EVALUATION DATA

Real-world data
for frontier AI.

MotiveSpring AI builds training and evaluation data for frontier labs and enterprise AI teams. We turn authorized business workflows into benchmarks, SFT datasets, and verifiable RL environments.

Layered form illustrated as a precise technical wireframe
DATA BUILT FOR PROGRESSBenchmarksSFT datasetsRL environments

01 / WHO WE WORK WITH

Better AI, on both
sides of the model.

Data for the teams building frontier models.
AI tools and custom models for businesses.

FOR FRONTIER LABS

Train and evaluate
on real work.

Build model capabilities with curated datasets and approved enterprise workflows, shaped into training and evaluation assets.

Data for frontier labs

FOR BUSINESSES

Your private data.
AI that fits your work.

Organize your private data, train custom models from open-source foundations, and build AI productivity tools around your team’s everyday workflows.

AI for your business

02 / FROM WORKFLOW TO DATA

Real work.
Useful learning signals.

See the process
  1. 01 / AUTHORIZE

    Start with an agreed scope.

    Define which workflows may be collected and how the resulting data may be used.

  2. 02 / CURATE

    Process, reconstruct, review.

    Handle sensitive content, select useful examples, and build tasks with clear outcomes.

  3. 03 / DELIVER

    Put the data to work.

    Create benchmarks, SFT datasets, or RL environments for agreed internal or external uses.

03 / DATA CONTROLS

Your workflows.
Your permissions.

External data licensing requires your explicit authorization.

Contributing data is a separate choice. We agree on collection and processing scope, and external licensing requires explicit authorization for the data product and its intended use.

How data permissions work

04 / DATA CATALOG

Find your next
capability.

28CATALOG ENTRIES

Six capability areas, plus additional datasets for custom requirements.

Browse all 28 entries