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SPECIFICTION
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Aindo Synthetic Data Platform

aindo.com

WebAPISelf-hosted

What it is

Aindo Synthetic Data Platform creates synthetic datasets from sensitive real-world information for analysis, sharing, research, and decision-making. It is available through a web application, REST API, or self-hosted deployment, including a customer cloud environment or on premises. The platform supports tabular, relational tabular, time-series, and text data, with outputs in CSV, TSV, XLSX, ODS, and Parquet. Users connect or upload a source, build a generator, and produce datasets that can become new sources. Features include completing missing or inaccurate data, reconciling data across systems and formats, and balancing socio-demographic information to mitigate bias. Documented connectors include PostgreSQL, MySQL, MariaDB, Google BigQuery, Microsoft SQL Server, Oracle Database, Amazon S3, and Google Cloud Storage. Aindo describes synthetic data as containing no personal information and supports synthetic cohorts for real-world evidence and observational studies. Privacy and similarity scores help evaluate generated datasets. Pricing is on request.

Spec sheet

Purpose
The platform generates synthetic data designed to resemble real-world datasets while preserving privacy and statistical accuracy.Read 4 Oct 2026 · docs.aindo.com
Intended users
Aindo identifies researchers and clinicians, pharma and CROs, and public administrations as groups it serves.Read 4 Oct 2026 · aindo.com
Deployment
Aindo documents deployment in a customer’s cloud environment or on premises, giving organizations control over their data.Read 4 Oct 2026 · docs.aindo.com
API
The platform exposes REST APIs for most operations available in the application.Read 4 Oct 2026 · docs.aindo.com
Integrations
Documented database connectors include PostgreSQL, MySQL, MariaDB, Google BigQuery, Microsoft SQL Server, and Oracle Database.Read 4 Oct 2026 · aindo.com
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.Read 4 Oct 2026 · aindo.com
Headquarters
Trieste, ItalyRead 28 Sep 2026 · aindo.com
Founded
2018Read 28 Sep 2026 · aindo.com
Bias mitigation
Aindo says synthetic data can balance socio-demographic data to mitigate bias in datasets.Read 3 Oct 2026 · aindo.com
Clinical use
The platform supports generation of synthetic cohorts for real-world evidence and observational studies for pharmaceutical companies, CROs, and research organizations.Read 3 Oct 2026 · aindo.com
Data compatibility
Its generative AI technology automatically compatibilizes data across systems and formats.Read 3 Oct 2026 · aindo.com
Data completion
The platform offers synthetic data completion to address inaccuracies and missing information in real datasets.Read 3 Oct 2026 · aindo.com
Data quality
Platform features include data completion, data compatibilization across formats and systems, and balancing socio-demographic data to mitigate bias.Read 4 Oct 2026 · aindo.com
Data types
Aindo specializes in relational tabular data and says the platform supports complex data types and formats.Read 4 Oct 2026 · docs.aindo.com
Database connectivity
The platform says it connects to all major database systems and tools and supports organizational data in multiple formats.Read 3 Oct 2026 · aindo.com
Dataset formats
The documentation describes support for tabular, relational tabular, and time-series data formats.Read 3 Oct 2026 · docs.aindo.com
Evaluation
The platform provides privacy and similarity scores to help assess generated dataset privacy protection and similarity to source data.Read 4 Oct 2026 · docs.aindo.com
Local deployment
Aindo says its platform can be employed locally to meet an organization's technical and organizational privacy measures.Read 3 Oct 2026 · aindo.com
Pricing availability
The platform page invites visitors to contact Aindo but does not state a price.Read 4 Oct 2026 · aindo.com
Privacy protection
Aindo says its synthetic data is artificially generated, contains no personal information, and can support AI development without processing personal data.Read 4 Oct 2026 · aindo.com
Quota limits
Generator creation consumes platform-configured resource quotas, and creation can fail if the available training-time quota reaches zero.Read 3 Oct 2026 · docs.aindo.com
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.Read 4 Oct 2026 · aindo.com
Storage integrations
Documented object storage connections include Amazon S3 and Google Cloud Storage.Read 4 Oct 2026 · aindo.com
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.Read 3 Oct 2026 · aindo.com
Workflow
Users create a source from uploaded or connected data, build a generator, and use it to generate datasets; generated datasets can also be used as sources.Read 4 Oct 2026 · docs.aindo.com

Strong points and limits

Strong points

  • Supports tabular, time-series, and text data
  • Self-hosted and customer-cloud deployment options
  • REST APIs cover most application operations
  • Includes privacy and similarity scores
  • Connects to major databases and object storage

Limits

  • Pricing is available only on request
  • Generator creation uses configured resource quotas
  • Quota exhaustion can cause creation failure

Who it suits

It suits healthcare, life sciences, research, public-sector, and finance teams working with sensitive or complex datasets. Organizations needing local deployment or API access can use those options.

Verdict

Aindo combines synthetic-data generation with data completion, compatibility, bias mitigation, and privacy evaluation. Its broad deployment and connector options fit organizations with controlled data environments, while pricing and quota details require clarification.

Where Specifiction places it

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