Synthetic Study Builder

Boost innovation and quality with Synthetic Study Builder, a trusted platform that creates end-to-end, realistic synthetic study data reflecting true clinical trial structure and patient journeys.

What is Synthetic Study Builder?

Synthetic Study Builder is a code-free platform for generating high-fidelity synthetic clinical datasets that mirror real-world study structures and patient journeys. Effortlessly enhance existing data or create entirely new datasets, reducing data acquisition costs while safeguarding sensitive information.

Synthetic Study Builder in Motion

Experience Synthetic Study Builder in action: generate realistic synthetic datasets quickly and safely, tailored to your inputs and study-specific requirements, all with no coding required.

How Industries Leverage Synthetic Data?

Healthcare & Life Sciences
  • Clinical trials & research: Generate patient datasets for trial simulations, modeling, and analysis without exposing real patient information.
  • Medical imaging: Create synthetic images for training AI models in radiology, pathology, and diagnostics.
  • Drug development: Test algorithms and analytics pipelines with realistic but non-identifiable patient data.
Finance & Banking
  • Fraud detection: Train AI models on synthetic transaction data to detect anomalies without using sensitive customer data.
  • Risk modeling: Simulate financial scenarios for stress testing or portfolio analysis.
  • Data sharing & compliance: Enable collaborations across institutions while staying GDPR or CCPA compliant.
Technology & AI
  • Machine learning training: Generate large, labeled datasets for AI model development when real data is limited or sensitive.
  • Computer vision & robotics: Create synthetic images, videos, or sensor data for autonomous vehicles, drones, and robotics.
  • Testing software systems: Simulate real-world inputs for apps and platforms without exposing real user data.
Manufacturing & IoT
  • Predictive maintenance: Generate sensor readings to train models that anticipate equipment failures.
  • Process optimization: Test production workflows and quality control algorithms using realistic but synthetic operational data.
Retail & Marketing
  • Customer behavior simulation: Generate synthetic shopping or browsing data to test recommendation engines or marketing strategies.
  • Personalization models: Train AI systems without exposing actual customer purchase histories.
Autonomous Vehicles
  • Simulation training: Synthetic driving scenarios help train AI to navigate complex traffic and weather conditions safely.
  • Edge-case testing: Generate rare or dangerous scenarios that are difficult or unethical to capture in real life.

Industry Feedback on the Synthetic Study Builder's Impact

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Generate your first synthetic study dataset in minutes.