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Aindo Synthetic Data Platform
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. Aindo says its generated data contains no personal information and can support AI development without processing personal data. The platform supports tabular, relational tabular, time-series and text data, and its documented output formats include CSV, TSV, XLSX, ODS and Parquet. A workflow begins with a source created from uploaded or connected data, followed by a generator that produces datasets; those datasets can also become sources. Features include completing missing or inaccurate information, reconciling data across systems and formats, and balancing socio-demographic data to help mitigate bias. Privacy and similarity scores help assess generated data in relation to privacy protection and the source dataset. Documented database connectors include PostgreSQL, MySQL, MariaDB, Google BigQuery, Microsoft SQL Server and Oracle Database. Object storage connections include Amazon S3 and Google Cloud Storage, and REST APIs expose most operations available in the application. Deployment options include a customer cloud environment or on premises. Aindo identifies healthcare and life sciences organizations, research institutions, public agencies and finance teams among its users. Pricing is available on request, and prospective customers can request a demo or contact Aindo.
Who it suits
The platform is aimed at organizations that need synthetic data for research, analysis, sharing or AI development, including healthcare, life sciences, research, public agencies and finance. It suits teams working with relational or other structured datasets that need local deployment, API access or connections to documented databases and storage services.
What it does well
- Creates synthetic data that Aindo says contains no personal information.
- Supports tabular, relational, time-series and text data.
- Offers completion and cross-format data compatibility features.
- Includes privacy and similarity evaluation scores.
- Can deploy in a customer cloud or on premises.
- Provides REST APIs for most application operations.
What to know first
- Pricing is available only on request.
- Generator creation uses configured resource quotas and can fail when training-time quota reaches zero.
- Customer support is available with an active contract.
Limits
Generator creation consumes platform-configured resource quotas, and creation can fail if the available training-time quota reaches zero. Support is available to customers with an active contract, such as maintenance or an annual subscription.
Getting started
- Visit https://www.aindo.com/ and request a demo or contact Aindo.
- Arrange pricing and access with Aindo.
- Choose a deployment option: customer cloud environment or on premises.
- Create a source from uploaded or connected data.
- Build a generator and use it to produce a dataset.
- Review privacy and similarity scores for the generated dataset.
Verdict
Consider Aindo if your organization needs synthetic datasets, local deployment options and connectors for its data systems. Pricing requires contacting the company, and generator creation depends on configured training-time resources.
Questions
How much does Aindo Synthetic Data Platform cost?
Pricing is available on request; the platform page invites visitors to contact Aindo.
Can I try it without contacting Aindo?
The product pages invite prospective users to request a demo or contact Aindo; they do not state public self-serve trial details.
What deployment options are available?
Aindo documents deployment in a customer cloud environment or on premises. The listed platforms also include API, self-hosted and web.
Which data systems can it connect to?
Documented database connectors include PostgreSQL, MySQL, MariaDB, Google BigQuery, Microsoft SQL Server and Oracle Database. It also documents Amazon S3 and Google Cloud Storage connections.
What data formats can it output?
Listed output formats are CSV, TSV, XLSX, ODS and Parquet.
What support is included?
Aindo says support is available to customers with an active contract, such as maintenance or an annual subscription, in Italian and English.
Facts from Aindo Synthetic Data Platform's own pages
- API
- The platform exposes REST APIs for most operations available in the application. · docs.aindo.com, 4 Oct 2026
- Bias mitigation
- Aindo says synthetic data can balance socio-demographic data to mitigate bias in datasets. · aindo.com, 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. · aindo.com, 3 Oct 2026
- Database connectivity
- The platform says it connects to all major database systems and tools and supports organizational data in multiple formats. · aindo.com, 3 Oct 2026
- Data compatibility
- Its generative AI technology automatically compatibilizes data across systems and formats. · aindo.com, 3 Oct 2026
- Data completion
- The platform offers synthetic data completion to address inaccuracies and missing information in real datasets. · aindo.com, 3 Oct 2026
- Data quality
- Platform features include data completion, data compatibilization across formats and systems, and balancing socio-demographic data to mitigate bias. · aindo.com, 4 Oct 2026
- Dataset formats
- The documentation describes support for tabular, relational tabular, and time-series data formats. · docs.aindo.com, 3 Oct 2026
- Data types
- Aindo specializes in relational tabular data and says the platform supports complex data types and formats. · docs.aindo.com, 4 Oct 2026
- Deployment
- Aindo documents deployment in a customer’s cloud environment or on premises, giving organizations control over their data. · docs.aindo.com, 4 Oct 2026
- Evaluation
- The platform provides privacy and similarity scores to help assess generated dataset privacy protection and similarity to source data. · docs.aindo.com, 4 Oct 2026
- Founded
- 2018 · aindo.com, 28 Sept 2026
- Headquarters
- Trieste, Italy · aindo.com, 28 Sept 2026
- Integrations
- Documented database connectors include PostgreSQL, MySQL, MariaDB, Google BigQuery, Microsoft SQL Server, and Oracle Database. · aindo.com, 4 Oct 2026
- Intended users
- Aindo identifies researchers and clinicians, pharma and CROs, and public administrations as groups it serves. · aindo.com, 4 Oct 2026
- Local deployment
- Aindo says its platform can be employed locally to meet an organization's technical and organizational privacy measures. · aindo.com, 3 Oct 2026
- Pricing availability
- The platform page invites visitors to contact Aindo but does not state a price. · aindo.com, 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. · aindo.com, 4 Oct 2026
- Purpose
- The platform generates synthetic data designed to resemble real-world datasets while preserving privacy and statistical accuracy. · docs.aindo.com, 4 Oct 2026
- Quota limits
- Generator creation consumes platform-configured resource quotas, and creation can fail if the available training-time quota reaches zero. · docs.aindo.com, 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. · aindo.com, 4 Oct 2026
- Storage integrations
- Documented object storage connections include Amazon S3 and Google Cloud Storage. · aindo.com, 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. · aindo.com, 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. · aindo.com, 3 Oct 2026
Where Aindo Synthetic Data Platform stands on Freedom251
- Synthetic Data Generation Software#24 of 29