Trusted by enterprise, government, and startups
Lightning Rod turns raw documents and public sources into verified training sets and compact domain experts — without hand-labeling.
Generate verified training data from real-world outcomes.
Describe what you want. Our agent handles the rest.
Lightning Rod Agent
Foresight-32B ranked #1, ahead of GPT-5.2 and Gemini 3 Pro.
Outperformed Gemini 3 Pro, Claude Sonnet 4.5, and o3 on the Forecasting Research Institute benchmark.
Beating frontier models using our novel Future-as-Label methodology.
Generate verified datasets in a few lines of code. Our SDK handles the complexity.
from lightningrod import Pipeline pipeline = Pipeline([ NewsSeedGenerator(query="AI regulation"), ForwardLookingQuestionGenerator( instructions="Generate questions about future AI regulations and rulings" ), WebSearchLabeler() ]) dataset = pipeline.run(n_samples=100)
We got back 10,000 high-quality, citable QA pairs in hours — we were fine-tuning the next day.
Lightning Rod is the only solution that turns messy sources into high-quality, verified training data.
Thousands of high-confidence Q&A pairs in an incredibly short time — something that would have taken our team weeks manually.
We went from idea to deployment in a single sprint. Without this, we would have been stuck in a proof-of-concept loop for months.
10,000 labeled examples that we immediately put to work in our eval pipeline, teleporting us weeks ahead.
Incredibly easy way to generate high-quality datasets from public sources.
See how Lightning Rod turns your sources into verified training data in minutes.
Examples on HuggingFace