Synthetic data for any scenario, at any scale

Seed scripts and building data by hand are dead. Build production-quality datasets with coherent relationships, realistic states and stories that hold together.

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Built on our work with leading B2B teams

Gong
Intuit
Apollo
people.ai
CallRail

How It Works

1

Requirements Agent

Collaborates with you to define the perfect story. Researches your product, your industry, your needs. Guides you to data that makes sense.

2

Schema Agent

Maps your product's structure. Relationships, dependencies, constraints. Data that fits — automatically.

3

Data Generation Agent

Generates at scale. Coherent relationships. Realistic timelines. Story-ready.

How it works
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Built For

Demos & Sandboxes

Data that tells a story to hold up under buyer scrutiny — rich enough to power your most advanced features.

Product Development & Testing

Realistic scenarios that exercise your system — edge cases, complex states, full coverage.

AI Model Training

Every scenario production can't give you — rare patterns, unusual states, at any volume.

Built on what works at Gong and Intuit

Large, realistic datasets that behave like real customer accounts. Now self-serve. Built to scale.

Data buyers can’t poke holes in

Coherent stories across your product. Enough volume to power AI features. Nuance so it feels like a real customer — not random noise.

Data generation that knows your product

Not generic. Not random. Data built on your schema, your relationships, your structure — because the agents understand how your product works.

Minutes, not days

No scripts to write. No engineering tickets. No waiting. Define the story, let the agents build it, export when ready.

Real data. Real stories. Ready in minutes.

For demos, testing, and training — without the grunt work.