Thought Seeing began as a perioperative neurosurgical adjuvant — technology designed to predict comatose risk in patients with brain injury or disease. Here is the science and the story behind the platform.
Clinical Platform
Our clinical engine synthesises patient data to support clinicians across the full care journey — from triage to follow-up.
Proprietary diagnostic engine that synthesises patient history, symptoms, and behavioural cues to surface insights clinicians might miss.
Crystal-clear, low-latency video visits with integrated screen sharing, real-time annotations, and automatic session summaries.
Connect wearable devices and IoT sensors for real-time vitals tracking, with intelligent alerts when readings fall outside personalised thresholds.
Military-grade encryption for all data in transit and at rest. Full HIPAA, GDPR, and SOC 2 Type II compliance built into every layer.
Electronic prescribing with automatic drug-interaction checks, pharmacy integration, and refill management — all in one workflow.
Real-time translation across 40+ languages so language barriers never stand between a patient and quality care.
Neuroscience
Artificial Intelligence — Adaptive algorithms that learn temporal signatures of individual perception, mapping attention, focus, and insight within each user's neural landscape.
Circadian Calibration — VR environments calibrated to circadian biology, specifically the suprachiasmatic nucleus (SCN) and associated retinal-hypothalamic pathways, optimising conditions for therapeutic perception and recall. The SCN acts as the body's master clock, and our platform synchronises immersive stimuli to each individual's circadian phase for maximum neurological receptivity.
Emotion Forecasting — Predictive modelling of affective state transitions, enabling anticipatory clinical response and empathic cross-cultural communication for diverse patient populations. By reading micro-patterns in perception data, the platform can anticipate emotional shifts before conscious awareness — allowing clinicians to adapt their approach in real time.
Perioperative Application — The technology was originally designed to predict perioperative comatose risk in patients with brain injury or neurodegenerative disease. By monitoring perception pattern stability during pre-surgical assessment, the system identifies patients at elevated risk of consciousness disorders during and after surgery — enabling earlier intervention and better-informed surgical planning.
Clinical Workflow Integration
In the clinical setting, our streamlined four-step process ensures patients receive the right care at the right time:
1. Describe — Patients share symptoms through guided intake forms enhanced by Thought Seeing AI for thorough, accurate capture.
2. Match — The algorithm identifies the best-fit specialist based on condition, availability, patient history, and preferences.
3. Consult — Live video visit with real-time AI assistance — the clinician sees diagnostic suggestions, relevant research, and risk factors as they consult.
4. Follow-up — Automated care plans, prescription delivery, lab orders, and check-in reminders keep patients on the path to recovery.
Origin Story
Named after the ancient Greek sanctuary of Epidaurus — a place where the sick travelled in search of divine healing — Epidaurus Telemedical carries that mission into the digital age.
Epidaurus was the sanctuary of Apollo — the first hospital of the Western world. Patients ascended the mountain to be closest to the healing sun. Within the Abaton, the harmless serpents of Asclepius moved across patients' bodies, inducing a calm from which visions arose — prescriptions from the patients' own consciousness.
The headset is the new Abaton. The calibrated light is the new sun. The algorithm is the serpent.
We believe that geography should never determine the quality of healthcare someone receives. Our Thought Seeing platform combines decades of clinical research with cutting-edge artificial intelligence to deliver diagnostic support that augments — never replaces — the human clinician.
Founded by a multidisciplinary team of physicians, engineers, and healthcare operators, we are committed to building technology that serves patients first.