Documents in. QA datasets out.

Upload textbooks, manuals, or internal docs. Get back structured Q&A datasets with every answer cited to the source — ready for fine-tuning.

Minutes, not weeks

Hand us your internal docs and get back thousands of high-quality Q&A pairs the same day. Go from idea to fine-tuning in a single sprint.

Cross-checked and citable

Every answer is verified against the source and traceable back to the original text. No hallucinated labels.

Any messy source

PDFs, transcripts, manuals, internal docs. We handle the chunking, question generation, and labeling — you get a dataset ready for fine-tuning.

Simple, powerful API

Upload your documents and get verified Q&A datasets in minutes.

Every answer cited back to the original source text
Cross-checked for accuracy — no hallucinated labels
Export as HuggingFace, Parquet, or JSON

from lightningrod import Pipeline

pipeline = Pipeline([\
    FileSetSeedGenerator(file_set_id="your-fileset-id"),\
    QuestionAndLabelGenerator(\
        questions_per_seed=3,\
        instructions="Questions that test deep understanding"\
    )\
])

dataset = pipeline.run(n_samples=100)

Trusted by teams building AI

Testimonials

"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."

Joe Phongpreecha, Co-founder & CEO, Takeoff 41

"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."

Andrew Becker, CEO, InPolicy.ai

"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. Without this, we would have been stuck in a proof-of-concept loop for months—instead, we got awesome results we could use on day one."

Paul Alexander, CTO, Caremaze

"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."

Ross Koenig, Chief Data Officer, Shore Capital Partners

"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. The cross-checking gave us strong confidence in the accuracy and reliability of the output. I highly recommend them to any team building AI!"

BB Chen, Co-founder, CareTie

"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."

Suhas Manangi, CEO, Precognition Labs

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

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."

Richard Maxwell, Head of AI Lab, Brunswick Group