For AI teams

License the data real agents are missing.

Sureform sources permissioned enterprise and physical-work data, prepares it around your model objective, and delivers documented assets for training, evaluation, and reinforcement learning.

Product formats

Buy the level of structure your training loop needs.

A source corpus, task collection, and runnable world solve different problems. We design the delivery around the intended model behavior and evaluation method.

TRAINING · EVALUATION01

Enterprise workflow datasets

Licensed, de-identified records that preserve how decisions and outputs connect across real tools.

SFT · POST-TRAINING02

Task and trajectory collections

Expert-calibrated assignments, demonstrations, outcomes, and scoring criteria grounded in actual work.

AGENTS · REINFORCEMENT LEARNING03

RL environments

Runnable enterprise worlds with seeded state, tools, reset logic, tasks, and verifiable rewards.

ROBOTICS · MULTIMODAL04

Egocentric physical-work data

Consented worker point-of-view sequences with task context, actions, equipment, and outcomes.

Delivery 04-27

Enterprise operations environment

READY

runtime/

Seeded tools and state

2.4 GB

tasks/

Selected task definitions

48 items

verifiers/

Isolated scoring package

v1.7

docs/

Data card and provenance

6 files

manifest.json

Versions and checksums

12 KB
LICENSE VERIFIED
SHA256 · 7F3A…91C2

Buyer process

Evaluate privately. Specify precisely. Receive a governed asset.

01

Brief

Define domain, task, modality, scale, rights, evaluation objective, and timing.

02

Match

Review anonymized descriptions, schemas, coverage, and provenance under confidentiality.

03

Specify

Align formats, tools, labels, task structure, verifier boundaries, and acceptance criteria.

04

Deliver

Receive a versioned, documented asset through the agreed secure channel.

Buyer materials

Enough information to evaluate without exposing the source.

Pre-purchase access is controlled and purpose-limited. Samples are for diligence unless separate training rights are agreed.

Data or environment overview01
Schema and modality documentation02
Provenance and license summary03
Quality and coverage report04
Prepared evaluation sample05
Version and checksum manifest06

Start a buyer conversation

Tell us what the model needs to learn.

Share the target domain and data specification at a high level. We will respond with fit, available paths, and the right confidentiality process.

Domain and target capability
Data modality and scale
Training or evaluation objective
Delivery format and timeline

Your email application will open with the brief prepared. Confidential materials should only be shared after an NDA and approved transfer process.

Have a sourcing problem that does not fit a catalog?

We can design a targeted company partnership or consented collection program around a concrete model need.