Model developers
Industry tasks for post-training and evaluation. Bring your training setup and requirements for tools, rewards, coverage, and rights.
FOR AI TEAMS
Train on industry work
Data, environments, and evaluations for model developers, AI product teams, and enterprises building their own agents.
Discuss a projectINDUSTRY TRAINING MATERIALPVG / FIELD STUDY
Built around a task
you need to solve
A model might know how scheduling works and still produce a plan no dispatcher would use. Domain performance depends on constraints, tools, and exceptions that rarely appear in a generic benchmark.
We work with industry software companies to identify those tasks and prepare material for training and evaluation. Engagements can cover a dataset, an interactive environment, a task-specific evaluation, or agent development.
Send a short brief: domain, task, model or agent setup, and a result you need to improve. We’ll assess fit and agree on a sample before a larger engagement.
WHO WE WORK WITH
AI product teams
Examples and environments tied to a customer workflow. Test whether an agent can complete a job inside your product, including exceptions and failure cases.
Enterprise AI teams
Domain-specific training and evaluation for internal work. Define operating constraints, human review, and deployment requirements before choosing an approach.
Applied research groups
Scoped collaborations around industry tasks and evaluation methods. Dataset access, publication, and redistribution need explicit agreement.
What an engagement can include
Datasets
Prepared records with task context, provenance, documentation, and agreed usage rights.
Environments
Tasks with tools, state, constraints, and a way to evaluate attempted work. Integration requirements are scoped with your team.
Evaluations
Held-out tasks, success criteria, baseline comparisons, and failure analysis where available.
Agent development
A scoped effort to train and evaluate an agent for a defined workflow, with deployment considered after results.
A sample comes
before a commitment
Sample availability depends on your task, required coverage, and intended use. We confirm rights and technical fit before agreeing on delivery.
Evaluate against your own acceptance criteria, with documentation of scope, provenance, and known limitations.
Explore our industry focus