Query in. Dataset out.

No data? No problem. Just a search query and a time window. We pull domain-specific news, generate forward-looking questions, and verify the answers automatically.

No data? No problem.

Start from nothing but a search query. We pull from historical news sources and build a complete, verified dataset for any topic.

Grounded in real outcomes

Questions are forward-looking, answers are verified against what actually happened. Every label is backed by evidence, not opinion.

Any topic, any time window

AI regulation, biotech, crypto, geopolitics — pick a domain and a date range. The pipeline handles sourcing, question generation, and labeling.

Simple, powerful API

Just a search query and a time window. We handle the rest.

  • Pull from historical news sources across any domain
  • Forward-looking questions verified against real outcomes
  • Full provenance with evidence and citations
from lightningrod import Pipeline

pipeline = Pipeline([
    NewsSeedGenerator(query="AI regulation"),
    ForwardLookingQuestionGenerator(
        instructions="Questions about policy outcomes"
    ),
    WebSearchLabeler()
])

dataset = pipeline.run(n_samples=100)

Trusted by teams building AI

Testimonials

  1. Joe Phongpreecha, Co-founder & CEO, Takeoff 41

    "Super impressed by Lightning Rod. We thought data prep would take weeks. We handed them our internal docs and got back 10,000 high-quality, citable QA pairs in hours—we were fine-tuning the next day."

  2. Andrew Becker, CEO, InPolicy.ai

    "10,000 labeled examples that we immediately put to work in our eval pipeline, teleporting us weeks ahead. The quality and thoroughness of the explanation made us highly confident to start using the data."

  3. Paul Alexander, CTO, Caremaze

    "Lightning Rod took a messy set of conversational transcripts and turned them into a complete training set ready for fine-tuning. The turnaround was fast enough that we went from idea to deployment in a single sprint."

  4. Ross Koenig, Chief Data Officer, Shore Capital Partners

    "We have an enormous amount of unstructured data about our portfolio companies, but it wasn't labeled or usable for training. Lightning Rod is the only solution that turns messy sources into high-quality, verified training data—unlocking real AI solutions to make smarter, better decisions."

  5. BB Chen, Co-founder, CareTie

    "We had an excellent experience with Lightning Rod Labs. They delivered thousands of high-confidence Q&A pairs in an incredibly short amount of time—something that would have taken our team weeks to do manually."

  6. Suhas Manangi, CEO, Precognition Labs

    "Incredibly easy way to generate high-quality datasets from public sources."

  7. Adam Goldenberg, CEO, Fabletics

    "We needed a complex dataset to help us test a hypothesis for a new advisory tool. LightningRod quickly understood our needs and gave us a quality dataset that allowed us to move forward."

  8. Richard Maxwell, Head of AI Lab, Brunswick Group

    "We rapidly generated high-quality synthetic datasets to stress-test edge cases and policy variants that were difficult to source organically, significantly improving precision and recall in a fraction of the time."

Generate datasets from public news today.