Aindo Synthetic Data Platform
Aindo Synthetic Data Platform creates synthetic datasets from sensitive real-world data for analysis, sharing, research, and decision-making.
What Aindo Synthetic Data Platform is
Aindo Synthetic Data Platform creates synthetic datasets from sensitive real-world data for analysis, sharing, research, and decision-making. It supports tabular, relational tabular, time-series, and text data, with formats including CSV, TSV, XLSX, ODS, and Parquet. A workflow starts with an uploaded or connected source, then a generator produces datasets that can also be used as sources. Features include data completion for missing or inaccurate information, compatibility across systems and formats, and balancing socio-demographic data to help mitigate dataset bias. The platform exposes REST APIs for most application operations and documents database connections including PostgreSQL, MySQL, MariaDB, BigQuery, SQL Server, and Oracle, plus Amazon S3 and Google Cloud Storage. Deployment options include customer cloud environments and on-premises installations. Privacy and similarity scores help evaluate generated datasets. Aindo identifies healthcare, life sciences, research, public agencies, and finance teams as users. Pricing is available on request, and prospective customers are invited to request a demo or contact the company.
Good
- Supports tabular, relational, time-series, and text data.
- Offers cloud and on-premises deployment.
- Exposes REST APIs for most operations.
- Provides privacy and similarity scores.
- Supports several database and storage connections.
Watch out
- Pricing is available on request.
- Generator creation uses configured resource quotas.
- Creation can fail when training-time quota reaches zero.
- No public self-serve trial details are stated.
Who it suits
It is aimed at organizations working with sensitive data, including healthcare and life sciences groups, research institutions, public agencies, and finance teams. It may suit teams that need local deployment, REST APIs, or synthetic data evaluation scores.
Verdict
Aindo provides synthetic-data generation with data preparation, evaluation, and deployment options for organizations. Since pricing is not public and generator creation depends on resource quotas, prospective users should discuss access and capacity with Aindo.
The facts
Each one read from Aindo Synthetic Data Platform's own pages, with the date it was checked.
What it does
- API
- The platform exposes REST APIs for most operations available in the application.checked 4 Oct 2026
- Bias mitigation
- Aindo says synthetic data can balance socio-demographic data to mitigate bias in datasets.checked 3 Oct 2026
- Clinical use
- The platform supports generation of synthetic cohorts for real-world evidence and observational studies for pharmaceutical companies, CROs, and research organizations.checked 3 Oct 2026
- Database connectivity
- The platform says it connects to all major database systems and tools and supports organizational data in multiple formats.checked 3 Oct 2026
- Data compatibility
- Its generative AI technology automatically compatibilizes data across systems and formats.checked 3 Oct 2026
- Data completion
- The platform offers synthetic data completion to address inaccuracies and missing information in real datasets.checked 3 Oct 2026
- Data quality
- Platform features include data completion, data compatibilization across formats and systems, and balancing socio-demographic data to mitigate bias.checked 4 Oct 2026
- Dataset formats
- The documentation describes support for tabular, relational tabular, and time-series data formats.checked 3 Oct 2026
- Data types
- Aindo specializes in relational tabular data and says the platform supports complex data types and formats.checked 4 Oct 2026
- Deployment
- Aindo documents deployment in a customer’s cloud environment or on premises, giving organizations control over their data.checked 4 Oct 2026
- Evaluation
- The platform provides privacy and similarity scores to help assess generated dataset privacy protection and similarity to source data.checked 4 Oct 2026
- Integrations
- Documented database connectors include PostgreSQL, MySQL, MariaDB, Google BigQuery, Microsoft SQL Server, and Oracle Database.checked 4 Oct 2026
- Intended users
- Aindo identifies researchers and clinicians, pharma and CROs, and public administrations as groups it serves.checked 4 Oct 2026
- Local deployment
- Aindo says its platform can be employed locally to meet an organization's technical and organizational privacy measures.checked 3 Oct 2026
- Pricing availability
- The platform page invites visitors to contact Aindo but does not state a price.checked 4 Oct 2026
- Privacy protection
- Aindo says its synthetic data is artificially generated, contains no personal information, and can support AI development without processing personal data.checked 4 Oct 2026
- Purpose
- The platform generates synthetic data designed to resemble real-world datasets while preserving privacy and statistical accuracy.checked 4 Oct 2026
- Quota limits
- Generator creation consumes platform-configured resource quotas, and creation can fail if the available training-time quota reaches zero.checked 3 Oct 2026
- Security and compliance
- Aindo describes its practices as aligned with GDPR, the EU AI Act, the NIST framework, ISO 9001, and ISO 27001, and identifies Europrivacy certification on its security page.checked 4 Oct 2026
- Storage integrations
- Documented object storage connections include Amazon S3 and Google Cloud Storage.checked 4 Oct 2026
- Support
- Aindo’s solution overview says support is available to customers with an active contract, such as maintenance or an annual subscription, in Italian and English.checked 4 Oct 2026
- Support and access
- The product pages invite prospective users to request a demo or contact Aindo; no public self-serve trial details are stated on these pages.checked 3 Oct 2026
The company
- Founded
- 2018checked 28 Sep 2026
- Headquarters
- Trieste, Italychecked 28 Sep 2026
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