Our Solution

CORTXT is a synthetic data engine purpose-built for clinical AI. It produces realistic documentation across a wide range of medical specialties and note types, including admissions, handovers, consults, progress, and discharge summaries. Every note is contextually appropriate, clinically plausible, and ready for real-world workflows — but entirely artificial, with zero dependency on real patient information.

The system is designed to operate at scale, generating over 100,000 notes per day while offering deep customisation. Users can define the clinical specialty, choose the note structure and tone, and adjust the complexity to simulate documentation written by junior or senior clinicians. Outputs are available in free-text, templated, or structured formats such as JSON. Whether accessed through a web interface or integrated into development pipelines via API, CORTXT adapts to fit a wide range of technical and clinical environments.

Using CORTXT is simple. First, users select the relevant clinical scenario or specialty they wish to simulate. Next, they customise the output — adjusting tone, structure, and metadata to suit the specific task or model. Notes are generated in minutes, either one at a time or in high-volume batches, and can be retrieved via our secure API or web dashboard. This allows teams to go from concept to usable clinical documentation in minutes — not months.

CORTXT is designed to support a broad range of use cases across the clinical AI lifecycle. It enables developers to train or fine-tune large language models on domain-specific medical text without the complications of privacy compliance. Teams can benchmark NLP tools using consistent, high-fidelity corpora or simulate rare edge cases for quality assurance and safety testing.

For design and product teams, CORTXT provides realistic patient journeys to populate EMRs, dashboards, or AI-assisted workflows. Educators can create safe, realistic teaching materials for medical students and clinicians in training, without the need for data governance or ethics approval. In regulated environments, teams can use CORTXT as a sandbox — testing and validating clinical tools without access to sensitive health records.

CORTXT is built not just for research, but for deployment. Its API-first architecture supports seamless integration into model development pipelines, analytics platforms, and digital health applications. Notes are generated in real time and formatted for direct use in EMRs, annotation tools, or simulation environments. Because all data is fully synthetic, there are no institutional access requirements, no patient consent processes, and no barriers to commercial use.

By eliminating the friction typically associated with clinical data, CORTXT empowers developers, researchers, and educators to move faster, explore more, and build with confidence.