Prodigy AI Data helps research labs and AI companies build high-quality training datasets, custom evaluations, and RL environments. Domain experts, purpose-built tooling, and API-first delivery — from specification to production-ready data.
An end-to-end managed platform for sourcing, building, and delivering training data. Submit a specification, track progress in real time, and receive validated datasets via API.
Define data requirements through a structured interface: modality, domain, volume, quality constraints, and formatting. Specs are version-controlled and auditable.
Requests are matched to vetted specialists — PhDs, research engineers, and industry practitioners — based on domain expertise and task complexity.
Multi-stage validation combining automated checks with expert human review. Inter-annotator agreement scoring, outlier detection, and consistency analysis at every stage.
Validated datasets delivered via REST API or direct cloud storage integration. Supports incremental delivery, versioning, and programmatic access for CI/CD training pipelines.
Submit your data specification through our platform. Describe the task, domain, modality, volume, and quality requirements.
We assign domain experts from our vetted network. Robotics tasks go to robotics PhDs. Code tasks go to software engineers.
Data is produced and run through our multi-stage QA pipeline. You can monitor progress and review samples in real time.
Validated datasets are delivered via API or cloud storage. Integrate directly into your training pipeline with versioned, reproducible data.
We focus on the data that is hardest to get right: domain-specific, multimodal, and constructed for your specific post-training objectives.
Long-tail and domain-specific datasets built to specification. We specialize in data that requires genuine expertise to produce: multi-step mechanical reasoning, robotic manipulation sequences with motion-capture ground truth, expert-level code generation, and multimodal instruction-following pairs.
Custom eval suites designed by people who have built them at frontier labs. We build evaluations that measure real model capabilities — not just benchmarks that look good on a leaderboard. Private, domain-specific evals for reasoning, instruction following, safety, and tool use.
Purpose-built reinforcement learning environments for post-training. Reward modeling, preference data collection, and RLHF/RLAIF pipelines designed to your specification — not from a template. We handle the full pipeline from environment design through reward signal validation.
Built by frontier lab alumni, domain PhDs, and enterprise operators who understand what your models actually need.
Mechanical Engineering PhD with 20+ years in manufacturing and robotics. Previously led engineering teams building industrial automation systems. Bridges the gap between physical systems and the data needed to model them — specializing in multimodal and motion-capture data pipelines.
Research engineer with experience at frontier AI labs working on reinforcement learning and post-training for modern multimodal foundation models. Designed and built internal data pipelines and evaluation infrastructure used to train production models.
Over a decade in enterprise technology sales, including a senior account management role at Salesforce where he was recognized as a top-performing representative. Specializes in building relationships with research and engineering teams at AI companies.
Prodigy AI Data was founded in 2025 to solve a specific problem: frontier AI labs need high-quality, domain-specific training data, but existing vendors optimize for volume over specificity. We built a platform that connects labs directly with domain experts who understand both the subject matter and the training objectives.
Transparent, project-based pricing. Every engagement starts with a scoping call to define your exact requirements.
Tell us about your project and we'll get back to you within one business day.
Prefer email? Reach us directly at bids@prodigyaidata.com
Interested in joining the team? careers@prodigyaidata.com