We design data solutions that safeguard absolute privacy while ensuring statistical integrity. Empowering innovation across health, finance, and other strategic industries, we accelerate progress by enabling secure, trusted, and responsible intelligence — without ever compromising confidentiality.
We don't measure quality by numbers alone. Our standards embody a deeper commitment — to preserve trust, to safeguard privacy, and to ensure that intelligence remains both reliable and responsible.
Statistical certainty that individual traces cannot be reconstructed.
Preservation of complex correlations and probability distributions.
Expanding information into new dimensions — accurate, private, scalable.
Synthetic data delivers its greatest value in sectors where information is highly sensitive, privacy is legally protected, and regulatory compliance is non-negotiable. In these environments, statistical fidelity is not just desirable — it is essential for building reliable, high-quality machine learning systems.
In healthcare, synthetic medical records, imaging data, and clinical trial information open the door to research and discovery that would otherwise be restricted by privacy laws. They allow institutions to accelerate drug development, test diagnostic tools, and train medical AI on representative populations — all while ensuring that no individual patient's identity can ever be exposed.
In finance, synthetic transactions, risk profiles, and compliance datasets provide a safe foundation for innovation in a highly regulated sector. They enable financial institutions to strengthen fraud detection systems, improve risk assessment models, and meet KYC/AML compliance requirements. By replacing sensitive records with statistically accurate counterparts, organizations can innovate securely without breaching trust or regulatory frameworks.
In artificial intelligence, synthetic datasets serve as a catalyst for building models that are both fair and effective. They preserve the diversity of the original data while creating rare edge cases that are often underrepresented in real-world samples. This allows for more robust validation, ensuring that models perform reliably across different conditions — achieving the accuracy of real data while eliminating the legal, ethical, and privacy risks of using it directly.
An advanced generative architecture combining intelligent preprocessing, a next-generation synthetic engine, and rigorous post-processing techniques. This end-to-end pipeline produces high-fidelity synthetic data that preserves statistical complexity, guarantees privacy, and is ready for enterprise integration.
Comprehensive data profiling, normalization, and pattern extraction to capture the underlying statistical structure.
Advanced generative modeling tuned to reproduce complex multivariate relationships with precision.
Creation of synthetic datasets that mirror real-world distributions while ensuring irreversibility and privacy.
Intelligent refinement, rebalancing, and format alignment to maximize data quality and usability.
Robust statistical benchmarking and compliance checks, with delivery in industry-standard formats for seamless deployment.
Transforming data access while preserving privacy across industries. From Costa Rica to the world, leading the synthetic data revolution.
Transforming fraud detection while protecting customer privacy. Building trust through responsible innovation in the financial sector.
Advancing cancer research while protecting patient privacy. Data science in service of life, from Costa Rica to the world.
At Nova Synthetic, we are pioneers in Costa Rica and Latin America, driving the frontier of synthetic data technologies that enable safe, scalable, and transformative innovation in healthcare, financial security, and beyond.
Our mission is to provide researchers, companies, and institutions with high-quality, privacy-preserving datasets that accelerate discovery, strengthen compliance, and unlock the full potential of artificial intelligence—without compromising individual rights.
We stand at the intersection of science, technology, and ethics, ensuring that Latin America is not only a user of global innovations, but a creator of world-class solutions in the data-driven economy.
"I believe Costa Rica has the talent and determination to drive innovations in AI and data science that not only safeguard our future but also unlock discoveries that improve health and transform lives."
— Adrián Valerio, Founder of Nova Synthetic
We are dedicated to advancing technologies that improve health outcomes, enhance financial resilience, and protect the most sensitive information under the highest standards of privacy and compliance.
We build long-term partnerships grounded in reliability, transparency, and measurable results that empower organizations to innovate with confidence.
We continuously evolve our technologies to deliver greater accuracy, efficiency, and impact—bridging local challenges with global opportunities in the era of synthetic intelligence.