Work / Healthcare · Neurotech
Divergence Neuro: real-time neurofeedback for clinicians and patients
A therapy platform streaming clinical-grade biosignals with sub-second latency — real-time neurofeedback for 1000+ users at 98% uptime.
- users receiving real-time biofeedback
- 1000+
- platform uptime
- 98%
Context
The product
Divergence Neuro puts EEG-based neurofeedback into therapy practices: clinicians run sessions where patients see their own brain activity reflected back in real time.
Challenge
The problem worth solving
Neurofeedback only works if the loop is tight. Signals had to travel from headset to visualization in under a second, continuously, across consumer-grade home networks — and a dropped session is a lost therapy appointment.
Constraints
What the engineering had to respect
- Sub-second end-to-end latency on continuous biosignal streams
- Sessions run over unpredictable home networks, not clinical infrastructure
- Brain-activity data is sensitive health information with access limited to the care relationship
Contribution
What LaunchStacks did
LaunchStacks built the streaming platform and both surfaces on top of it — the clinician's session dashboard and the patient's real-time feedback experience.
Solution
What shipped
- Real-time biosignal streaming from headset to browser visualization
- Clinician dashboards for running, monitoring, and reviewing therapy sessions
- Patient-facing feedback visualizations that respond within the therapeutic window
- Session recording and review so clinicians can track progress across appointments
Architecture
How it is built
- WebSocket streaming pipeline engineered for sub-second latency
- D3.js visualizations rendering continuous signal data smoothly in the browser
- Connection-quality handling that degrades gracefully instead of dropping sessions
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