Stop training LLMs on stale examples. Muichiro generates custom datasets using real-time documentation lookup. Your FastAPI examples actually use Pydantic v2. Your React code uses hooks that exist today.
Describe the training data you need in plain English. Get it in hours. Multi-stage quality control catches errors before they reach your pipeline.
You're building an AI product. You need training data. Your options aren't great.
Don't match your use case. Filled with deprecated patterns, outdated API calls, and code that hasn't worked in two years.
Scale AI and others charge $10K–$50K+ per project with 4–8 week timelines. Great if you're a Fortune 500. Not practical for everyone else.
Months of engineering time spent scraping, cleaning, and validating. Distracts your team from the actual product you're trying to build.
Describe it. Get it. Ship it.
"I need 5,000 examples of Python functions that interact with the Stripe API, including error handling and webhook verification." Plain English. We handle the rest.
Real-time documentation lookup ensures every example uses current APIs. Multi-stage quality control catches errors, validates code patterns, and flags anything that doesn't match the latest docs.
Your dataset lands in your portal. JSONL, CSV, or Parquet — ready to plug into your pipeline. No format wrangling.
No minimums. No subscriptions. No enterprise sales calls.
AI generation + multi-stage QC
$150 / 1M tokens
AI generation + expert human QC
$249 / 1M tokens
Try it with a $5 sample. Not satisfied? We'll regenerate once free or refund.
Startups that need training data fast and can't afford enterprise vendors or six-month curation cycles.
Enterprise teams that want high-quality synthetic data without the $50K price tag and two-month wait.
Researchers that need custom datasets matching specific domains, frameworks, or API versions.
Muichiro is currently in development. We're building the platform and onboarding early users.
Interested? Reach out at admin@snacai.net