Turn private healthcare data into clinical evidence

Speed up RWE generation

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Compliance by design. Trust by default.
GDPR-ready EHDS-ready AI Act compliant ISO certified Audit Readiness by design Explainability by design Privacy-preserving AI NIST — Cybersecurity & privacy

Certified, auditable, and built for the European health data framework — from Europrivacy to ISO 27001.

Europrivacy

Europrivacy

Art 42 GDPR

ISO 9001 Quality

ISO 9001

Quality

ISO 27001 Information security

ISO 27001

Information security

Gender Equality

Gender Equality

UNI PDR 125:2022

NIST Cybersecurity Framework

NIST

Cybersecurity & privacy

Transforming healthcare with smarter, safer, more effective AI

public health
Enable health systems to plan, evaluate, and innovate securely

Synthetic data enables institutions and healthcare organizations to forecast demand, model scenarios, measure performance, and generate evidence for better decisions. Insights can be shared across organizations without exposing patient-level data.

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real-world evidence
Give researchers and life sciences teams faster access to real-world data

High-quality synthetic cohorts reflect real patient populations and are ready for analysis. They accelerate observational studies, outcomes research, and Real World Evidence generation while meeting regulatory requirements.

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external control arms
Accelerate clinical trials with validated synthetic control arms

Synthetic control arms can complement or replace traditional control groups using statistically robust foundations. By reducing recruitment needs, costs, and operational complexity, they make studies faster and more efficient.

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clinical intelligence
Support faster and better-informed clinical decisions

Specialized clinical language models assist treatment comparison, medical reasoning, and knowledge access. Trained on real and synthetic data, they are designed for high-complexity healthcare environments.

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How synthetic data accelerates clinical research and evidence generation

Instant access

Start analysis and experimentation immediately without exposing sensitive data.

Access time

From months to instant

Faster research

Clean, structured synthetic cohorts ready for analysis, validation, and development.

Study setup

From months to instant

Stronger models

Reduce bias, enrich datasets, and improve model performance.

Accuracy

+7.1% sensitivity

Compliance by design

Scale research and innovation while maintaining data protection, governance, and control.

Certified

Europrivacy + AI Act

Chosen by trusted partners in healthcare, research and public institutions
IRCCS CRO Aviano
IRCCS Casa Sollievo della Sofferenza
IRCCS Fondazione From
IRCCS Gemelli
IRCCS INT
IRCCS Monzino
Rete Cardiologica IRCCS
IRCCS San Raffaele
ASUGI
Spedali Civili di Brescia
Area Science Park
Regione FVG
Insiel
BIP
CVBF
Deloitte
Engineering
Mia Care
Osservatori.net
Amgen
AstraZeneca
Boehringer Ingelheim
Chiesi
Novartis
Università di Bologna
Università di Brescia
Politecnico di Milano
SISSA
BNL Gruppo BNP Paribas
Vodafone

By building a secure and interoperable health data ecosystem, we can improve the quality of care, strengthen research, and support better resource allocation across the healthcare system.

Orazio Schillaci, MD
Orazio Schillaci, MDItalian Minister of Health

Synthetic data can accelerate health research, but its full potential can only be realized if governance, transparency, and regulatory clarity evolve alongside the technology.

Davide Cirillo, PhD
Davide Cirillo, PhDPost-doctoral researcher, Barcelona Supercomputing Center

In oncology, synthetic data means faster trials with greater respect for patients — who can access potentially effective treatments sooner.

Gennaro Daniele, PhD
Gennaro Daniele, PhDDirector of Clinical Trial Center SpA, Policlinico Gemelli

Synthetic patient cohorts preserve clinical characteristics without identifiable information — enabling faster and safer trials, giving patients earlier access to experimental therapies.

Alfonso Piciocchi, PhD
Alfonso Piciocchi, PhDChief Scientific Officer (CSO), Fondazione GIMEMA Franco Mandelli

By building synthetic control arms from real-world data, we can design trials requiring fewer control patients and reduce development timelines — giving patients faster access to transformative therapies.

Mark Winderlich, PhD
Mark Winderlich, PhDHead of U.S. R&D, MorphoSys

AI-generated synthetic cohorts provide robust external comparators to evaluate new therapies more rapidly when large randomized trials are not feasible.

Eddy Saad, MD
Eddy Saad, MDChair Biomechanics, Dana Farber Cancer Institute

Synthetic data represent a new informational infrastructure for healthcare systems, enabling better planning, evaluation and governance.

Giorgio Lorenzo Colombo
Giorgio Lorenzo ColomboProfessor of Health Economics, University of Pavia

Technology that helps you focus on data, not roadblocks

Overcome access delays, regulatory complexity, and unusable data. Aindo delivers reliable, instantly usable synthetic data so you can focus on decisions and discovery.

Explore our technology

Built for those who turn health data into value

Researchers & Clinicians

Access high-quality clinical evidence and insights without exposing identifiable patient data.

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Pharma & CROs

Generate analysis-ready synthetic data to accelerate studies, RWE, and clinical development while reducing time and cost.

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Public Administration

Forecast demand, capacity, and system scenarios with reliable and scalable synthetic populations.

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Build the future of medical intelligence

Accelerate research, clinical evidence, and safe compliant healthcare AI.