Data for Everyone

Powering the world’s best data teams

The MOSTLY AI Data Intelligence Platform 

Unlock the power of data
Access and work with production data securely, generate high-quality, privacy-safe synthetic data, and seamlessly analyze and share data across teams. With agentic data science at its core, the Platform enables organizations to accelerate AI innovation, streamline workflows, and drive smarter decision-making at scale.

Agentic. Secure.
For everyone.

Built for Everyone. Individuals, teams, and Enterprise organizations. Connect to your data within your secure environment. Run on your compute. Gain insights from your production data with the AI Assistant. Leverage synthetic data to broaden data access across your whole organisation.

The Synthetic Data SDK

Get started instantly
Powered by the industry leading TabularARGN model architecture, generate high-fidelity synthetic data with built-in differential privacy, 100x faster training, advanced sampling, and support for complex tabular and textual datasets.

A fully permissive Open Source project under an Apache v2 license.
Learn more
!pip install -U mostlyai

# initialize the SDK
from mostlyai.sdk import MostlyAI
mostly = MostlyAI()

# train a generator
g = mostly.train(data="/path/to/data")

# inspect generator quality
g.reports(display=True)

# generate any number of new privacy-safe samples
mostly.probe(g, size=1_000_000)

# generate new synthetic samples to your needs
mostly.probe(g, seed=[{'age': 65, 'gender': 'male'}])

# export and share your generator
g.export_to_file()
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Your data never leaves your environment
Create synthetic data locally in your Python environment - you stay in full control of your data.
Seamless integration
Export your Generators and upload them to the MOSTLY AI Data Intelligence Platform for exploration and sharing.

Customer and Partner Testimonials

See how leading organizations are transforming their data strategies with synthetic data solutions
Swiss Post
Synthetic Switzerland" Unlocks 89% more Customer Data
“Using the Synthetic Data SDK with our whole customer base, we can increase access from 11% to 100% with a synthetic customer base that mirrors the original dataset but with 100% privacy.”
— Sanzio Monti
Data Scientist, Swiss Post
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Erste Group
Synthetic Data Accelerates Model Development
“Synthetic data is used in every (Databricks) environment except Production... due to very limited data in UAT and PHAT. We’re not allowed to test on production data.”

— Vukola Milenkovic
Databricks Solution Manager, Erste Group
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AWS
Synthetic Data Accelerates Customer’s Cloud Migration

“A fundamental shift in how organizations are appreciating the ability of synthetic data to release all these data silos... to unlock the value of their data today instead of waiting for years.”

— Faris Haddad
AI Strategy Lead, AWS
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Databricks
Leveraging Synthetic Data in Clean Rooms to Unlock Cross-Industry Intelligence
“That’s where I think synthetic data really comes into the picture - where you're able to take a valuable data asset and then generate a synthetic data asset that essentially mimics that data itself... whether directly via Delta Sharing to your partner or in a Clean Room setting.”
— Nikhil Gaekwad
Product Lead, Databricks
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