Data That Teaches Models
How To Think.
Custom datasets, traces, expert evaluations and more for frontier models. Built by seasoned professionals. Calibrated, private, and evaluation-driven.
Contributor showcase
Where our contributors worked at previously
Building Custom Datasets
for Frontier AI Models
Fully Human Authored
Every datapoint is created from scratch by senior practitioners, primarily senior software engineers alongside vetted domain specialists.
Calibrated for Frontier AI Models
Tasks are tuned to lab-specific pass rates, designed to probe model limits where benchmarks stop being useful.
Secure, Research-Grade Delivery
Produced under strict NDAs and multi-layer QA, meeting and exceeding the operational standards of leading AI research labs.
Data That Makes a Difference
Recent advances and the availability of large but noisy datasets, such as algorithmic exercises and git commit logs, have not solved the challenge of training high-performing AI agents.
The most effective approach is to use curated, real-world engineering tasks that represent a reliable ground truth. Parsewave datasets are designed for use in supervised fine-tuning, reinforcement learning from human feedback, or as benchmarks to assess model performance.
How We Work
Our proven process ensures high-quality, custom datasets that meet the rigorous demands of frontier AI development. Learn more about our methodology.
Requirements Analysis
We begin with deep-dive sessions to understand your model's current capabilities, target benchmarks, and specific training objectives. Our team analyzes your evaluation criteria, identifies capability gaps, and defines the precise data specifications needed to push your model's performance boundaries.
Dataset Architecture
Our team designs the data structure, problem taxonomy, and quality benchmarks tailored to your use case.
Custom Problem Authoring
Produce tailored problem sets, solution traces, and reasoning annotations that match your technical requirements.
Quality Assurance
Multi-layer review process ensures accuracy, consistency, and alignment with frontier model training standards.
Integration Support
Seamless delivery and integration with your existing training pipelines and evaluation frameworks.
Iteration & Refinement
Continuous feedback loops to refine datasets based on model performance and evolving requirements.
Scale & Delivery
Production-ready datasets delivered at scale with full documentation and ongoing support.