Expert-led AI data and evaluation workflows

Expert human intelligence for better AI.

Shapd AI connects AI teams with skilled professionals to create, evaluate and improve high-quality AI data across complex domains.

Evaluation · Task Authoring · Red Teaming · Data Quality · Domain Expertise

Project quality systemValidated Output
01DefineRubrics and task specs
02MatchDomain expert fit
03ExecuteStructured workflows
04ValidateReview and adjudication
Quality checksCalibration, agreement monitoring and traceable review

Clear positioning

Human expertise, built into your AI workflow.

Building reliable AI requires more than large volumes of data. It requires precise tasks, thoughtful evaluation and reviewers who understand the subject.

Shapd AI designs and operates expert-led workflows that produce reliable, high-signal data for AI development.

Services

What we deliver

Model Evaluation

Evaluate model responses for correctness, reasoning, relevance, safety and instruction adherence.

Task Authoring

Create original, domain-specific tasks designed to test real model capabilities and failure modes.

Rubric Design

Develop structured, deterministic scoring criteria for consistent and measurable evaluation.

Red Teaming

Identify unsafe behaviour, hidden weaknesses, edge cases and adversarial failure patterns.

Data Annotation and Review

Produce and review high-quality labelled data through controlled, multi-stage workflows.

Benchmark Development

Design challenging evaluation sets that measure progress across models, domains and difficulty levels.

Domains

Expertise where quality matters

Software engineering

Mathematics and reasoning

Science and STEM

Finance and business

Language and writing

Safety and policy

How Shapd works

From requirement to reliable output

Step 1

Define

We translate your objectives into clear task specifications, rubrics and measurable quality standards.

Step 2

Match

We identify professionals with the relevant domain knowledge and practical experience.

Step 3

Execute

Experts complete the work through structured authoring, evaluation and review workflows.

Step 4

Validate

Outputs pass through calibration, quality checks and targeted adjudication before delivery.

Step 5

Improve

Performance insights and recurring failure patterns are used to strengthen each subsequent cycle.

Quality system

Quality is designed into the workflow.

Expert screening and domain matching
Calibration tasks before production
Clear rubrics with anchored examples
Multi-stage review and adjudication
Agreement and consistency monitoring
Traceable feedback and quality reporting

Every project is structured around measurable quality, not task volume alone.

Engagement models

Built for pilots and ongoing programs

Every AI project has different requirements, so Shapd AI scopes each engagement around domain, complexity, timeline and quality goals.

Focused Pilot

A defined project to test workflow quality, expert fit and delivery standards.

Managed Project

End-to-end task design, expert coordination, quality assurance and delivery.

Dedicated Expert Team

A flexible group of specialists aligned with your domain, tools and production requirements.

For experts

Turn your expertise into meaningful AI work.

Shapd AI gives skilled professionals a structured way to contribute to AI development, demonstrate their capabilities and build a verified body of work.

  • Author evaluation tasks
  • Assess and compare model responses
  • Review technical and domain-specific outputs
  • Create scoring rubrics
  • Identify model weaknesses
  • Contribute to safety and red-team programs
Join the Expert Network

About Shapd AI

AI improves when the right people shape it.

Shapd AI is an expert-led AI data and evaluation company. We combine domain knowledge, structured human-feedback workflows and rigorous quality systems to help AI teams build more capable and reliable models.

Our goal is to create a trusted bridge between the professionals who understand complex work and the teams building the next generation of AI.

Learn About Shapd AI

Building something that needs expert judgment?

Tell us what you are developing, where human expertise is required and what quality looks like for your team.