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Training data for frontier AI labs
We create a new kind of data for training AI models. Most LLMs are pre-trained on noisy web-scraped text, but they hallucinate and still fail on tasks that humans find trivial. PerfectBit creates high-quality training data that's correct by construction. We verify against physics simulators, scientific databases, formal proof systems. LLMs, robotics, AI for Science, and more.
PerfectBit provides verifier-grounded training data for frontier AI labs. It emphasizes data quality, verifiable data sources, and enhanced natural language to improve model performance.
Offers specialized training data designed to be verifier-grounded, using concepts like formal proof systems, simulators, executable tests, and oracle databases to produce trustworthy data. Highlights include training on reality, emphasis on high-quality data, and a framework that positions verifiers as data-quality instruments to supplement noisy web data.
Who it’s for: research labs and enterprises building frontier AI/models needing high-quality, verifiable data for training
Hiring/traction mentions (Team, Careers) and product-on-site, ongoing updates (v0.4, build info) suggest early-stage startup activity
I worked as Director of Media Generation at Meta before 2026 for 11 years. I was managing the Media GenAI foundation model research and development, including efficient media generation, text to image generation (Emu), image editing, Movie gen, text to video, video editing and character consistent image and video generation. Previously, led efficient deep learning for computer vision teams supporting on-device models for AR/VR. I was Assistant Professor at Stanford University
Led teams in the Core Llama group at Meta Superintelligence Labs. Senior Staff Research Scientist across 9 years at Meta spanning LLM pre-training and post-training, inference optimization, full-duplex speech models, and computer vision vision models. Before tech: PhD in Physics, published in Proceedings of the National Academy of Sciences and Physical Review Letters, co-authored with Fields Medalist. Educated at Stanford, Rice, Columbia, post-doc at a National Lab.
Specialized data for the world's most powerful models.
PerfectBit generates high-quality training data verified against physics simulators, scientific databases, and formal proof systems to address hallucination and common-sense failures in frontier AI models.
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Formerly “Gikl, Inc” · why startups rename →
Frontier models for critical domains
The API for real-world training data.
