Expert-Vetted AI Training Data,
From Generalists to STEM

High-quality data for frontier AI models demands real expertise. We provide a vetted spectrum of specialists, matching task complexity to the right expert tier, with systematic QA at every stage.

Trusted by teams at

SuperAnnotate Sanctifai Alegion Moreton Bay Technologies Intentsify Emesent Rovio TicTag SND Good Luck Group

Not a Commodity Shop. A Specialist Partner.

Generic annotation platforms flood your pipeline with volume. We focus on quality, judgment, and domain depth, because frontier AI models require data that reflects real expert knowledge across every skill level, from general tasks to advanced coding and rigorous STEM reasoning.

Multi-Lingual Projects
Expert-Matched Workflows
Multi-Layer QA
Scalable on Demand
Frontier Model Ready

Core Data Service Offerings

Each service is designed for the specific demands of modern AI development, not legacy data pipelines.

01

RLHF & Human Feedback

Reinforcement Learning from Human Feedback workflows with expert evaluators who understand model outputs, instruction-following, and nuanced quality assessment at depth.

Preference ranking
Response quality evaluation
Instruction-following assessment
Learn more →
02

Model Evaluation

Systematic assessment of AI model outputs across accuracy, reasoning, safety, and domain correctness, using specialists who genuinely understand the subject matter being evaluated.

Factual accuracy checks
Reasoning chain evaluation
Safety & alignment review
Learn more →
03

Data Annotation & Labelling

Precision labelling for text, images, code, and structured documents, with expert annotators selected to match the complexity and domain requirements of each specific task.

Text & document annotation
Code review & labelling
Image & structured data
Learn more
04

Coding & STEM Data Tasks

Complex technical tasks requiring real developer or researcher expertise: code generation evaluation, mathematical reasoning review, and scientific domain feedback across 25+ programming languages.

25+ programming languages
Maths & science reasoning
Technical accuracy review
Learn more →
05

Medical Domain Workflows

Specialist medical data tasks with licensed practitioners (radiologists, surgeons, nurses, and orthodontists) providing verified clinical knowledge for medical AI development.

Licensed medical professionals
Clinical annotation & review
Multi-specialty coverage
06

AI-Augmented Workflows

Hybrid operations combining AI-assisted first-pass with expert human review, delivering high volumes at speed without compromising accuracy. Our standard for every high-throughput engagement.

AI-first, human-reviewed
High throughput delivery
Custom pipeline design

The Right Expert for Every Task Tier

Our core differentiator is workforce depth. We match each project to the exact expert profile it requires, from foundational tasks through to specialist technical and clinical work.

Tier 1
Generalists
Content classification, data labelling, QA review, structured data tasks. High volume, consistent quality.
ClassificationLabellingQA Review
📋
Tier 2
Developers
Senior developers (5+ years) across Python, SQL, JavaScript, Swift, C++, and 20+ more. Code review, RLHF for coding tasks, technical documentation evaluation.
PythonJavaScriptSQLC+++20 more
💻
Tier 3
STEM Experts
Mathematics, Physics, Biology, Chemistry, and Engineering specialists. Ideal for advanced reasoning evaluation, scientific content review, and domain-specific model assessment.
MathematicsPhysicsBiologyEngineering
⚗️
Tier 4
Medical Professionals
Licensed clinical practitioners for medical AI data tasks: radiologists, surgeons, nurses, orthodontists, and other specialties available for annotation and clinical model evaluation.
RadiologistsSurgeonsNursesOrthodontists
🏥
Tier 5
Creative & Linguistic
Copywriters, scriptwriters, and linguistic specialists for creative AI data generation, tone evaluation, brand voice assessment, and multilingual content review.
CopywritingScriptwritingLanguage Eval
✍️

Custom domain specialist teams assembled on request for specific project requirements.

Explore Expert Provision →

Quality is Built In, Not Bolted On

Every engagement starts with a thorough understanding of your AI workflow, model requirements, and quality bar. We design delivery around your standards, not generic SLAs.

1

Discovery & Scoping

We map your model requirements, task type, volume needs, and quality criteria before proposing a workforce plan.

2

Workforce Matching

Each task is mapped to the right specialist tier, preventing over-use of generalists on expert tasks and under-use of specialists on simple ones.

3

Pilot & Calibration

Small initial batches validate quality, calibrate guidelines, and align expert judgment before full-scale production begins.

4

Production with QA Layers

Multi-layer review, systematic spot-checking, and expert oversight throughout the production run.

5

Delivery & Iteration

Structured delivery with feedback loops built in. We improve with every batch and scale alongside your model's evolving requirements.

Quality Signals We Deliver On

Worker Qualification
All specialists are screened, tested, and verified against the domain and task requirements prior to assignment.
Task Understanding
We invest in understanding your AI workflow before building guidelines, ensuring annotators know the "why" behind every instruction.
Systematic Improvement
Batch-level feedback loops, inter-annotator agreement tracking, and continuous calibration across the project lifecycle.
AI + Expert Review
AI-augmented first passes reviewed by human experts, delivering the throughput of automation with the accuracy of specialist review.

Expert Evaluation at Every Stage

We provide human judgment across your full model development pipeline, not just one-off annotation before launch.

Stage 1
Pre-Training
Data quality validation
Stage 2
SFT
Expert demonstrations
Stage 3
RLHF Alignment
Preference & safety signals
Stage 4
Pre-Deployment
Custom eval & red-teaming
Stage 5
Post-Deployment
Regression monitoring

See full lifecycle detail on RLHF & Model Evaluation →

Our Delivery Standards

Clear commitments on quality, speed, and communication so you can plan your pipeline with confidence.

95%+

Annotation Accuracy

Task-dependent accuracy targets established during pilot calibration, with continuous QA layers throughout production.

5-7

Business Days to Pilot Delivery

Initial pilot batches delivered within 5-7 business days of guideline alignment, so you can validate quality before committing to scale.

24-48h

Response Time

Dedicated project manager per engagement. All queries, escalations, and feedback loops addressed within 24-48 hours.

Weekly quality reports
Inter-annotator agreement tracking
NDA and data security compliance
Flexible scale-up and scale-down

Built for Teams at the Frontier

Our data services serve organisations where data quality directly determines model quality, whether you're building models or operating the platforms that serve them.

Production Owners at AI Labs

You're responsible for model quality at scale and need consistent, expert-level human feedback without managing a workforce yourself. We slot into your pipeline.

Applied AI Leads at Startups

You're building fast and need RLHF that keeps pace. Expert evaluation, coding data, and STEM datasets, without the overhead of recruiting and vetting specialists.

MLOps Platform Teams

You're serving multiple AI teams and need a reliable expert data partner that integrates with your platform and scales across client projects simultaneously.

Ready for Expert-Powered AI Data?

Tell us about your model, your workflow, and your quality bar. We'll design the right expert operation for your needs.