Data that can’t be scraped. Cleared to train on.
Fieldangle supplies rights-cleared enterprise data to the teams training AI models, and robot training data to the companies building robots. Specific, documented, and ready to load.
Public data got models this far. The next gains are elsewhere.
The data that makes a model useful at real work, or teaches a robot to do a real task, isn't on the open web. We bring it to you, cleared and ready to train on.
Two kinds of data. One provider.
Enterprise data
Licensed company data for training language models and agents: structured, labeled, and de-identified.
CRM and sales
Accounts, contacts, pipeline stages, and activity history, structured and de-identified.
Team chat
Channel threads, decisions, and the context behind how teams actually work.
Email and documents
Correspondence, memos, specs, and knowledge-base content with real-world structure.
Support and calls
Tickets, chats, and call transcripts that show problems being solved end to end.
Code and engineering
Repositories, issues, pull requests, and review threads with full history.
Workflows and expert tasks
The steps, judgment calls, and checks behind real professional work, not just the final output.
Robot training data
The data robotics companies use to train their robots: demonstrations of real tasks, video of people doing them, and the labels that make both usable for robot learning.
Teleoperated demonstrations
Robots performing real tasks under expert control, recorded with synchronized cameras, joint states, actions, and language instructions. Ready for imitation learning and robot foundation models.
Egocentric human video
First-person video of people doing household and industrial tasks, with hand pose and step-by-step segmentation. Used to pretrain manipulation skills before robot data.
Annotation and labeling
Objects, grasps, keypoints, 3D, and success or failure on every attempt: the labels robot policies train and evaluate on, human-reviewed against a written spec.
Custom collection
Tell us the task, the environment, and the robot. We scope the protocol with you and run the collection through our partners.
Brief. Source. Pilot. Deliver.
Brief
Tell us what your model needs to learn: the domain, the task, the formats, and the acceptance criteria.
Source
We match your brief to licensed enterprise supply, or scope a robot data collection with our partners.
Pilot
Test a redacted or small-batch sample in your own training loop before you commit to scale.
Deliver
Versioned, documented datasets under a clear license, in the formats your stack already reads.
Cleared before it ships.
Every dataset arrives with the evidence you need to trust it, and the paperwork you need to use it.
Rights-cleared
Every dataset is licensed by its owner, with documented chain of title and clear commercial training rights.
De-identified and anonymized
We work with specialist partners to de-identify and anonymize personal and confidential information before delivery. You see a redacted preview first.
Calibrated and reviewed
Robot training data ships with calibrated, time-synced sensors and human review on every episode.
Documented
Dataset cards cover coverage, distributions, known gaps, and collection conditions.
Sitting on data AI labs can't get anywhere else?
We work with partners on review, de-identification, and licensing, and match your data to the teams that need it.
Common questions.
Where does the data come from?+
From the owners. Enterprise datasets are licensed by the companies and teams that created them. Robot training data is collected by vetted partners under documented consent.
How do you handle personal and confidential information?+
We work with partners who de-identify and anonymize the data before it reaches you, and every dataset card documents the method.
Can we preview before we buy?+
Yes. Redacted samples and pilot batches let you test in your own pipeline before committing to scale.
What formats do you deliver?+
Enterprise data as JSONL, Parquet, or CSV. Robotics data as RLDS, LeRobot, HDF5, MCAP/ROS bags, and COCO-style annotations. Custom schemas on request.
Can you source or collect something custom?+
Yes. Tell us the domain, the task, and the volume. We source it from our network, or scope a collection and run it with our partners.
How is pricing structured?+
By dataset, volume, or collection hour, depending on the type of data. We scope it together after a pilot.
Start with a pilot dataset.
Tell us what your model or robot needs to learn. We'll scope a sample you can run in your own training pipeline.