We connect AI Labs and Enterprises to the world's domain experts.
Our network spans lawyers, doctors, investment bankers, educators, farmers, and researchers. We handpick every expert — analyzing interviews, LinkedIn, work history, GitHub profiles, social media mentions — so the right expert is always on the right project.
WHO WE WORK WITH
Built for two kinds of clients.
HOW WE DO IT
Three systems. One seamless pipeline.
We run the entire operation - from finding the right person to delivering production-ready data - inside a system we built and control.
Discover Your Next Expert
We find tax attorneys, lawyers, doctors via our proprietary prospecting tool that covers million of records in the world
Sophia - AI-powered expert sourcing
Most platforms post job listings and wait. We don't. Sophia, our proprietary AI recruiter, actively searches, scores, and enriches candidate profiles across every major professional network - applying a multi-step enrichment process to surface the exact expert profile a project requires. No guesswork. No job boards.
Sophia applies layered filters: domain credentials, publication history, hands-on experience, language proficiency, and availability - then passes qualified candidates to our human vetting team for final review.
Managed from day one to delivery
Experts work inside a structured task environment - not free-form documents or email attachments. Every submission is tracked against velocity, accuracy, and consistency benchmarks. Domain experts validate each other's outputs. Senior reviewers enforce format and structure. Human data leads do final sign-off.
When a project scales or pivots, we move fast - because the talent database, history, and context are already structured and searchable.
Expert Onboarding
What's Required
Identity & Contact
Full name, email address, telephone number, city, and country.
Resume, LinkedIn & Git Hub
Upload your resume and add your LinkedIn & Git Hub (or select that you don't have one.)
Make Your Profile Stand Out
Experience Summaries
Limit each role to 3–5 bullet points. Begin with outcomes: specify what was delivered, for whom, and the resulting impact. Include scale metrics—such as users or revenue—where applicable.
Projects
Highlight two to four representative projects. Clearly articulate the problem, your specific role, the technology stack employed, and the resultant outcomes. Provide links to code repositories or demonstrations where permitted.
Skills & Stack
Differentiate core skills (to be used daily) from less familiar tools (used occasionally). Refrain from utilizing lengthy keyword lists; prioritize clarity and up-to-date information.
Availability & Preferences
Maintain up-to-date availability information by including time zone, weekly capacity, contracting preferences, and language competencies.
An environment for experts to operate in
EXPERT EXECUTION INTERFACEAuthorship / Demonstration
Write exemplary outputs that set model targets
AvailableModel Output Rewriting
Correct, improve, and structure model drafts
AvailablePreference Ranking
RLHF signal via structured pairwise comparison
AssignedEvaluation Design
Design scenarios to test model reasoning limits
AvailableRL Environment Building
Construct reward structures for training loops
In ReviewRed-Teaming & Adversarial
Probe model boundaries with expert-crafted attacks
In ReviewCandidate Experts
Lisa Anderson
Advocate • UK
Robert Wilson
Corporate Law • IN
Emma Davis
Software Eng • USA
An environment for experts to operate in
Experts work inside a structured task environment - not free-form documents or email attachments. Every submission is tracked against velocity, accuracy, and consistency benchmarks. Domain experts validate each other's outputs. Senior reviewers enforce format and structure. Human data leads do final sign-off.
The result is data that is accurate, consistent, and model-ready - not a folder of files that needs six weeks of cleaning.
What We Deliver:
AN EXAMPLE OF OUR DATASET
Video content (raw + edited) with curriculum-aligned SVG diagrams for 20+ subjects including Math, Chemistry, and Physics.
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HOURS OF VIDEO
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EDUCATORS
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ACCENTS
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LABELED DIAGRAMS
WHAT WE'VE BUILT
Work that speaks for itself.
EDUCATION VIDEO DATA
3,600 hours of instructional video content. 20+ accredited educators across 17 accents. Raw and post-edited formats. Built for speech recognition and education AI training.
SCIENTIFIC DIAGRAM ANNOTATION
100,000+ labeled SVG diagrams in biology, chemistry, and physics for secondary education curricula. Structured for visual question answering and multimodal model training.
LEGAL REASONING DATASET
Multi-jurisdictional legal reasoning dataset covering contract law, regulatory compliance, and case analysis. Built for frontier model fine-tuning.
Human brilliance, structured for the models that matter.
Whether you're training a frontier model or automating complex enterprise workflow—we build the data pipeline that makes it work.