Turn specialist knowledge into model capability.
AxisX provides specialist task data, agent trajectories and executable evaluation for model teams. Across software, knowledge work, scientific reasoning and custom programs, domain expertise meets verification engineering.
Specialist data directions
Task scenarios & delivery methods
University & research connections
Quality review dimensions
Expert qualification
Match authors, reviewers and adjudicators through domain experience and trial tasks.
Engineering validation
Connect references, environments and verification rules with each task and version.
Delivery management
Calibrate scope with samples and manage review, rework and batch acceptance.
Expert judgment. Global reach.
Expertise across finance, medicine, law, scientific computing and engineering. Specialists and data teams turn professional problems into tasks, references and independent review.
Explore the global expert network
Axis Edge. Researching what comes next.
A frontier data lab studying long-term memory, agent collaboration, long-horizon work and scientific reasoning. Original scenarios, task environments and verification methods turn model capability gaps into research and training data.
Explore Axis Edge researchData products & task engineering
Define capabilities, construct tasks and environments, and deliver reference artifacts, verifiers and batch evidence.
Expert network & delivery system
Connect universities, research institutions and industry experts through task qualification, sample calibration, independent review and versioned production.
Domain knowledge must enter production and QA
Domain fit does not end with résumé keywords; it is validated on real project tasks.
Mathematics, physics & computing
Chemistry, biology & life sciences
Finance, economics & risk
Legal, compliance & regulation
Medicine & evidence
Geoscience & earth sciences
Education & learning assessment
Machine-learning engineering / MLE
Machine-learning science / MLS
Programs & software engineering
Agents & tool interaction
Knowledge work & professional documents
From talent relationships to a delivery system
International delivery depends less on headcount than on organizing people, rules, tools and accountability clearly.
Institutional reach is a starting point
Project entry still depends on task-specific qualification, trial work and versioned training.
Professional judgment needs a shared standard
Domain contributors, operations and QA align through samples, rubrics and edge cases.
Different workflows run under one delivery discipline
A delivery lead manages assignment, clarification, QA, rework and batch acceptance.
Build data around your next capability goal
Start with a task goal and a sample. Define the materials, specialists, verification methods and delivery scope together.