Methodology
Clear tasks.
Traceable evidence.
Useful data starts with an explicit task. Useful evaluation makes the reasons behind a judgment available for review.
Our Process
How We Deliver
Expert Selection
Match world-class domain experts to your specific AI challenges
Expert profile & coverage plan
Task Design
Craft adversarial, high-quality data generation protocols
Task specification & rubric
Execution
Run RLHF, RLVR, benchmarking and evaluation pipelines
Pilot dataset & execution records
Verification
Multi-layer human review and automated equivalence testing
QA report & resolved review log
Delivery
Certified, high-quality training data and evaluation reports
Versioned release & handover notes
Our quality approach
Agree on what good looks like.
The exact process depends on the task and project scope. These are the checks we use to structure the conversation, the pilot, and the handover.
01
Define the task contract
Specify the starting inputs, permitted tools, expected artifacts, and completion criteria. Make assumptions and exclusions visible before work begins.
02
Calibrate a small pilot
Use a limited batch to test task clarity and reviewer agreement. Resolve ambiguous instructions and scoring differences before expanding the work.
03
Inspect outcomes and evidence
Use repeatable checks where possible and expert judgment where needed. Review the submitted artifact alongside the source evidence and execution record.
04
Resolve and document
Adjudicate disagreements against the rubric and source materials. Deliver versioned artifacts, review records, and the criteria used to accept them.
Project guides
Explore the work.
Start with a project direction or a delivery method. Each guide explains the inputs, working steps, deliverables, and review criteria, with a PDF you can keep.
Explore repository tasks with a runnable starting state, an explicit output contract, and deterministic checks.
02 / Training & evaluationAgent workflowsExplore longer tasks that require an agent to reconcile documents, manage state, and deliver a usable artifact.
03 / Training & evaluationExpert reasoningExplore context-dependent tasks where each conclusion must follow the definitions and evidence supplied in the brief.
04 / Training & evaluationSearch & report evaluationExplore open-ended research tasks with explicit standards for source quality, useful synthesis, and fit to the user's needs.
05 / Training & evaluationDomain scienceExplore scientific evaluation that makes the trade-offs, missing evidence, and next experiment part of the task.
06 / Training & evaluationMultimodal & 3DExplore creation tasks that preserve the brief, execution process, visual checks, and an editable final project.
07 / Delivery methodsDesigning domain workflowsTurn a business process into a reviewable task by preserving its documents, decisions, revisions, and handoffs.
08 / Delivery methodsReviewing with domain expertiseMatch review work to the knowledge it requires, and make professional judgments understandable to the next reviewer.
09 / Delivery methodsDesigning a useful evaluationDefine the capability a test measures, preserve its conditions, and report what its results can and cannot establish.
Define your project
Bring a capability gap. Build a clear brief.
Tell us what you need. Our team will confirm which materials can be shared.