Domain experts, technical teams, and datasets for AI companies and startups, across software, hardware, robotics, language, science, and more. Staff your team, hand us the whole program, or buy the data directly.
Each program is staffed by people who do this work professionally, matched to your task, tools, and standard.
Coding agents, repositories, terminal tasks, and code review.
Demonstrations, teleoperation, and sensor capture across factories, sites, and warehouses.
Circuit design, firmware, embedded systems, and verification.
Multilingual text, translation, speech, and localization.
Proofs, quantitative reasoning, and physics, chemistry, and biology.
Finance, law, medicine, and other expert fields where judgment matters.
Not listed? We assemble teams around the task. Tell us what you need
Every engagement starts from a defined standard of acceptance, whichever model you choose.
Add vetted domain experts, or a complete technical team, to your program. They work in your tools and workflows, calibrated and reviewed by Applied Work.
Hand us the outcome. We own scope, staffing, production, independent review, and delivery against acceptance criteria agreed up front.
Buy the data directly. Companies and startups can request datasets in any of our domains, scoped with you and delivered with their evidence.
Every unit remains traceable from specification to acceptance, whoever does the work.
Specialists, environments, and review run inside the same traceable workflow, so every decision can be found later.
Not a final spot check. Five controls hold for every unit we deliver.
Software keeps tasks, environments, evaluation state, and evidence structured and traceable.
Domain experts are assessed, matched, and calibrated for the tools, security boundary, and program standard.
Production, independent review, and release follow acceptance criteria defined in advance.
Technical specialists, independent review, and traceable systems deliver against defined acceptance criteria.
| Step | Stage | What happens | Owner |
|---|---|---|---|
| 01 | Scope | Task format, acceptance criteria, and required evidence are agreed. | Client and Applied Work |
| 02 | Build | Specialists author tasks, environments, data, and reference behavior. | Specialist |
| 03 | Validate | Checks are reproduced against the specification. | Specialist |
| 04 | Stress-test | Adversarial cases and evaluator brittleness are tested. | Specialist |
| 05 | Review | A reviewer who did not author the work evaluates the evidence. | Independent reviewer |
| 06 | Deliver | The versioned package is released with its evidence record. | Applied Work |
| 07 | Maintain | Changes are versioned and checks are re-run. | Applied Work |
Acceptance is defined before production begins, and the evidence record travels with every delivery.
Each unit ships with the task, environment, and dependencies it was validated against, pinned to a version.
The accepted answer or behavior is defined before production, so review works against a fixed standard.
Clean replays, attempts, and adversarial cases are recorded, including the ones that failed.
Reviewer decisions and every revision stay attached to the unit they changed.
We provide domain experts and technical teams for AI data and evaluation, run complete programs end to end, and sell datasets directly to companies and startups. Work covers technical tasks, agent environments, expert evaluations, post-training data, and physical-world data.
Most of our work is in software engineering, robotics and physical AI, hardware and electronics, languages, mathematics and science, and professional fields such as finance, law, and medicine. If your domain is not listed, we assemble a team around the task.
Yes. Companies and startups can buy datasets from us directly. Tell us the domain, format, volume, and timeline you need, and we will scope the dataset with you before any work begins.
Yes. We can place individual domain experts or a complete technical team inside your workflow, or own the entire program end to end. Many engagements start with one and grow into the other.
We begin with a focused pilot that represents the technical difficulty, operating constraints, and acceptance standard of the larger program.
Acceptance criteria are agreed before production. Each delivery includes the evidence needed to reproduce checks, review decisions, and revisions.
Authorship, independent review, and final acceptance are separated. A reviewer who did not author the work evaluates the evidence before release.
Yes. Through our international partner network, we can coordinate authorized programs across construction sites, factories, warehouses, and other operational environments. Each program defines the target behavior, operator requirements, sensor plan, participant rights, safety controls, metadata, and acceptance criteria before collection begins.
Bring a task specification, evaluation problem, dataset need, or representative workflow. We will define the scope, acceptance criteria, and evidence needed to decide what comes next.
