Generality provides curated datasets and evaluation pipelines for advanced language model and embodied AI research, including private benchmarks with human‑in‑the‑loop verification, expert‑labeled instruction‑output pairs, and high‑rigor reinforcement‑learning environments.
Funding
Funding not disclosed
Founders
Product
Problem
AI research labs often lack access to high-quality, domain-specific data and rigorous evaluation pipelines needed to align large language models and embodied agents with real-world tasks, leading to gaps in reasoning, safety, and performance assessment.
Solution
Generality supplies curated datasets and evaluation infrastructure tailored for advanced language model and embodied AI research. Their offerings include private benchmarks with human‑in‑the‑loop evaluation pipelines, expert‑labeled instruction‑following and safety data, and realistic reinforcement‑learning environments for software engineering, tool‑calling, and web‑interaction tasks. By providing end‑to‑end pipelines—from data generation by top‑tier experts to automated scoring and long‑horizon planning rewards—Generality enables labs to systematically measure and improve model capabilities against real‑world use cases.
Target Audience
Primary customers are language model and embodied AI research labs that require specialized data and evaluation pipelines to advance model reasoning, safety, and real‑world task performance.
Features
- Private benchmark suites with human‑in‑the‑loop verification and expert network oversight
- High‑rigor RL environments for software engineering, computer/browser use, and function‑calling tasks with process/outcome rewards
- Expert‑labeled instruction‑output pairs focused on reasoning, safety, and alignment, created by top researchers and PhDs
- Specialized tool‑calling agent tasks simulating customer‑service and document‑search workflows
- Novel mathematical post‑training data authored by Olympiad medalists for exams such as IMO and Putnam
- Human‑agent interaction coding trajectories capturing long‑horizon collaborative development workflows
- Custom project services to design bespoke data, environments, or evaluations aligned with partner research goals