The Current State of LLM Synthetic Data: Research-Informed Guidelines for Generating Synthetic Data
How do you generate synthetic data for LLM training? In this guide, we’ll take a research-backed look at synthetic data generation for LLMs – what it is, why it matters, and how it’s done – w...
Read MoreCase Study: Achieving 97% accuracy with 95% latency reduction in voice dictation
Willow Voice, an AI-powered dictation tool designed to work across all applications, faced a critical technical challenge. Their initial product relied on GPT-4o to provide accurate transcription and...
Read MoreThe Definitive Guide to Synthetic Data Generation for LLMs in 2025
Large language models (LLMs) in 2025 are hungry beasts, devouring more text than the entire internet can provide. Enter synthetic data – artificially generated text and information – which has mo...
Read MoreOur Mission
We're building the world's first autonomous LLM engineer to democratize AI development—starting with solving high-quality synthetic data generation for every team.The AI frontier is shifting to dat...
Read More95% Less Real Data, Better Performance on Biomedical Reasoning
With only 10K failure mode-targeted synthetic examples, TinyLlama (1.1 B) beats GPT‑4o mini and an equal‑sized real‑data set on PubMedQA. We show that the right data matters more for perform...
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