Model Evaluation
Evaluate model responses for correctness, reasoning, relevance, safety and instruction adherence.
For AI teams
Expert workflows for reliable AI data and evaluation.
Shapd AI helps teams define the work, match the right experts, operate the workflow and deliver high-signal outputs with measurable quality controls.
Request a Project DiscussionServices
Specialized support across the AI development cycle
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.
Project types
Supported programs
Evaluation datasets
Human preference review
Safety and red teaming
Domain benchmark creation
Technical task authoring
Data annotation and review
Quality control
A managed process, not a loose marketplace.
Each project is designed around measurable quality standards, reviewer calibration and repeatable delivery practices.
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
Engagement models
Choose the operating model that fits the work
Shapd AI scopes each program around domain complexity, volume, timeline, review depth and quality requirements. Fixed prices are not published because AI projects vary widely.
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.
Pilot start
How a pilot starts
Define
We translate your objectives into clear task specifications, rubrics and measurable quality standards.
Match
We identify professionals with the relevant domain knowledge and practical experience.
Execute
Experts complete the work through structured authoring, evaluation and review workflows.
Validate
Outputs pass through calibration, quality checks and targeted adjudication before delivery.
Improve
Performance insights and recurring failure patterns are used to strengthen each subsequent cycle.
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