MOSTLY AI vs SynthEngyne
MOSTLY AI
mostly.aiSynthEngyne
datagen.inSide by side
| Figure | MOSTLY AI | SynthEngyne |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 1 | 5 |
| Spec score · Synthetic Data Generation Software | 8.2 (#4) | 8.4 (#2) |
| Spec score · AI Synthetic Data Generators | 8.1 (#9) | 8.4 (#5) |
| Founded | 2017 | 2024 |
| Product | The Data Intelligence Platform provides access to production data, synthetic data generation, mock data generation, simulated data, and data analysis. | SynthEngyne is a platform for generating custom synthetic datasets for AI training. |
| 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. | The privacy policy says the company uses encryption in transit and at rest, role-based access controls, multi-factor authentication, vulnerability assessments, and an incident-response program. |
| Support | Users can contact support by emailing [email protected]. | The site provides a contact form and lists [email protected] for messages and privacy requests. |
Plans
SynthEngyne
- Monthly free creditsFree
- Starter₹1,500, paid once
- Popular₹3,000, paid once
- Pro₹6,000, paid once
- Enterprise₹10,000, paid once
In their own words
MOSTLY AI
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.
SynthEngyne
SynthEngyne creates synthetic datasets for AI training and development, including text, images, tabular data, and time series. Users can build domain-specific datasets from proprietary documents, adjust generation parameters and methods, and organize work in dataspaces. The workflow runs from generating data to viewing, analyzing, and exporting datasets for AI models. Listed quality tools include validation, cleaning, and deduplication; processing options include real-time, streaming, and batch generation, as well as enterprise-scale processing. Text, tabular, and time-series generation costs 1 credit per row, while an image costs 10 credits. The free plan provides 1,000 credits each month without a credit card. Paid credit bundles are one-time purchases: Starter is ₹1,500, Popular ₹3,000, Pro ₹6,000, and Enterprise ₹10,000. Credits do not expire, and dataspaces, datasets, and storage are unlimited. SynthEngyne is described as in closed alpha, with public availability planned by the end of March 2026. DataGen names healthcare, finance, automotive, and retail as potential industries for the product.