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MOSTLY AI

mostly.ai

Free plan WebLinuxAPISelf-hosted

What it is

MOSTLY AI is a data intelligence platform for accessing production data, generating synthetic, mock and simulated data, and analyzing data. Its assistant lets users request Python code in natural language and run it for analysis. The open-source Synthetic Data SDK supports local generation and uses the Apache v2 license. The platform handles numerical, categorical, date-time, text and geolocation data; it can synthesize relational tables while preserving their relationships. Other controls include Data Insights Reports, data rebalancing, missing-value imputation and generation temperature settings. Listed database connectors include MySQL, PostgreSQL, MariaDB, Oracle, Microsoft SQL Server, Snowflake, Databricks, BigQuery and Apache Hive; cloud bucket connectors include Azure, GCP and AWS. An API and Python client support integration into applications and workflows. Deployment options include Kubernetes, OpenShift and Minikube, as well as on-premises, private-cloud and air-gapped installations. The maker says the platform is SOC 2 and ISO 27001 certified. A single-node Kubernetes deployment requires at least 24 CPU cores, 48 GB RAM and 256 GB storage. The free plan is free, with no further limits stated. It is available via API, Linux, self-hosting and web.

Spec sheet

Product
The Data Intelligence Platform provides access to production data, synthetic data generation, mock data generation, simulated data, and data analysis.Read 30 Sep 2026 · mostly.ai
Deployment
The platform can be deployed on Kubernetes or OpenShift, or installed via Minikube on a single VM.Read 30 Sep 2026 · mostly.ai
Integrations
Listed connectors include MySQL, PostgreSQL, MariaDB, Oracle, MS SQL Server, Snowflake, Databricks, BigQuery, and Azure, GCP, and AWS cloud buckets.Read 30 Sep 2026 · mostly.ai
Security
The maker says the platform is SOC 2 and ISO 27001 certified and offers on-premises installation, including air-gapped environments, and private cloud deployment.Read 30 Sep 2026 · mostly.ai
Support
Users can contact support by emailing [email protected].Read 30 Sep 2026 · mostly.ai
Founded
2017Read 23 Sep 2026 · mostly.ai
AI assistant
Users can use natural language to create and run Python code to analyze data.Read 30 Sep 2026 · mostly.ai
API and Python
The platform provides an API and Python client for integrating synthetic data generation into applications and workflows.Read 30 Sep 2026 · mostly.ai
Company history
MOSTLY AI says it was founded in 2017 in Vienna, Austria.Read 30 Sep 2026 · mostly.ai
Data types
The platform supports structured numerical, categorical, and date-time data, plus text and geolocation data.Read 30 Sep 2026 · mostly.ai
Minimum deployment resources
A single-node Kubernetes deployment requires at least 24 CPU cores, 48 GB RAM, and 256 GB storage.Read 30 Sep 2026 · mostly.ai
Multi-table data
The platform can synthesize relational multi-table data while maintaining relationships between tables.Read 30 Sep 2026 · mostly.ai
Quality and controls
Features include Data Insights Reports, data rebalancing, missing-value imputation, and generation temperature control.Read 30 Sep 2026 · mostly.ai
SDK requirements
GPU support in the SDK's local mode is available on Linux only.Read 30 Sep 2026 · mostly.ai
Synthetic Data SDK
The open source Python SDK is licensed under Apache v2 and supports local synthetic data generation.Read 30 Sep 2026 · mostly.ai

Plans and prices

Free Free Get started for free; no further limits stated Read 30 Sep 2026 · mostly.ai

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Strong points and limits

Strong points

  • Preserves relationships in multi-table synthetic data
  • API and Python client available
  • Supports on-premises and air-gapped installation
  • Open-source SDK supports local generation

Limits

  • Single-node Kubernetes minimum is 24 CPU cores
  • SDK local-mode GPU support is Linux-only

Who it suits

It suits teams that need synthetic data generation across relational tables or integration with databases and cloud buckets. Its deployment options also address organizations seeking on-premises, private-cloud or air-gapped installation.

Verdict

MOSTLY AI combines synthetic data generation, analysis tools and multiple deployment options. The stated Kubernetes baseline is substantial, and GPU support for the SDK's local mode is limited to Linux.

Where Specifiction places it

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