Breaking the barrier to the brain.

Clinic-grade brain stimulation you use at home, guided by your phone and adapted by AI, without surgery, a hospital visit or an MRI.

Join the waitlist See how it works

TRL 5, pre-clinical pilot. Working proof of concept with validated spatial accuracy. Not yet a medical device. All performance figures shown are design targets pending clinical confirmation.

Target · Thalamus

Drag to rotate · double-click to zoom in · choose a target below

Focal depth
~55 mm
Focal energy
0.46 W/cm²
Approach
Non-invasive
Mode
Closed loop
Stimulation intensity 55% · Moderate

Design targets, dose-limited. Pending clinical confirmation.

Research and advisory network
University of Nottingham University of Strathclyde University of Cambridge

01 The gap

Most people who could benefit from brain stimulation cannot get it.

Implants are years away, and almost nobody wants one. Clinic systems work, but only in a hospital with a scanner. Consumer wearables are affordable and cannot reach deep structures precisely.

2.7bn

people will face anxiety, depression or cognitive fatigue in their lifetime, roughly 1 in 3.

400

deep brain stimulation procedures per year in the UK, across just 12 hospitals.

98%

of people we surveyed would not consider a brain implant. The demand is for something non-invasive.

DeepBrain survey respondents

02 Mechanism

Clinic-grade targeting,
guided by a phone.

An ultrasound triangulation system pairs with a smartphone to guide stimulation to the right place, every session. A closed loop then reads your biosignals and adapts the dose in real time.

EEG
Target
Thalamus
Focal depth
~55 mm
Array
Seating

Drag the focus, or use the arrow keys. Every brain is different, so we personalise the target for you.

  1. 01

    Precise placement

    Put on the headset and the phone guides it into place, so the focal point lands on target without an MRI.

  2. 02

    Reach the right target

    Focused ultrasound reaches deep structures such as the thalamus and amygdala that generic wearables cannot address.

  3. 03

    Adapt with AI

    A closed loop reads EEG and HRV and tunes the dose during the session, and refines its settings from one session to the next.

03 Product

Today’s session
04:12
of 10:00
Delivering
Dose
Within ceiling
TargetThalamus
Focal depth~55 mm
ClinicianSupervising

Illustrative data shown.

A clinic in your hands.

The companion app turns a complex therapy into a few simple taps: place, target, monitor and review. Clinicians stay in the loop with remote oversight throughout.

  • Guided placement

    Step-by-step positioning so every session hits the intended target.

  • Real-time monitoring

    EEG and HRV are read live and feed the closed loop that adapts the dose.

  • Clinician oversight

    Sessions, adherence and safety limits are visible to your clinician remotely.

04 Comparison

The only approach that does all three.

Precision, home use and AI adaptation rarely live in the same device. DeepBrain is designed to bring them together.

Capability comparison between implants, clinic systems, consumer wearables and DeepBrain.
Capability Implants Clinic systems Consumer wearables DeepBrain
Non-invasive NoYesYesYes
Reaches deeper targets YesYesNoYes
Designed for home use NoNoYesYes
No MRI required n/aNoYesYes
AI personalisation LimitedLimitedNoYes

Comparison reflects DeepBrain’s design intent versus typical alternatives. All performance figures are design targets pending clinical confirmation.

05 Safety

Safety is built into the device.

Home use has to be safe by default, so these controls are part of the design from the start.

  • DOSE

    Dose ceilings

    Hard limits cap intensity and duration, with one supervised session per day to prevent overuse.

  • SIGNAL

    Live monitoring

    Biosignals are checked continuously, so the system can stop or adjust if readings fall outside expected ranges.

  • OVERSIGHT

    Clinician oversight

    Remote supervision keeps a qualified professional in the loop for home sessions.

  • ACCESS

    Secure by default

    Device integrity and access controls, informed by security engineering expertise, guard against misuse.

06 Roadmap

From the lab to the living room.

Now · 6 months

Clinic validation

Working proof of concept with validated spatial accuracy. Next, clinic-led feasibility pilots to generate outcome data, starting with depression.

12 months

Clinical pilot

Structured clinician interviews and a clinical pilot, with safety, monitoring and the regulatory pathway toward UKCA and CE marking.

18 months

Supervised home use

Early rollouts of supervised home programmes with clinics and NHS innovation hubs, bundled with monitoring and personalisation software.

07 Team

Who is building DeepBrain.

Neuromodulation, brain-network science, biomedical engineering, AI and commercial execution, in one team.

  • Om Roy
    Om Roy
    CEO · AI and neuromodulation
    University of Strathclyde
  • Prof. Marcus Kaiser
    Prof. Marcus Kaiser
    CSO · Brain networks
    University of Nottingham
  • Dr. Keith Smith
    Dr. Keith Smith
    Biomedical Lead
    University of Strathclyde
  • Dr. Yashar Moshfeghi
    Dr. Yashar Moshfeghi
    AI Lead
    University of Strathclyde
  • Alex Christou
    Alex Christou
    Business Development
    University of Strathclyde
Advisory board
  • Peter SchlechtVenture capital
  • Prof. Feng HaoCambridge · Security engineering
  • Paul CableCEO · NeuPulse
  • Jon HackerCEO · NeurGear
  • Dave HughesCEO · Halya

08 Questions

Common questions.

Not yet. DeepBrain is at an early stage with a working proof of concept and validated spatial accuracy data. We are building clinical evidence with partner clinics before any home use. All clinical performance figures shown are design targets pending clinical confirmation.

Consumer headbands are affordable but generic and do not reach deeper structures with any precision. Clinic systems are precise but expensive and tied to hospital visits. DeepBrain aims to combine clinic-grade precision guidance with home use and AI personalisation in a single non-invasive device.

No. The approach is non-invasive and uses a smartphone-based precision guidance system rather than an MRI scan, which is central to making repeated sessions practical and affordable.

Safety is designed in: session limits, dose ceilings, real-time biosignal monitoring and remote clinician oversight. Controls are built to prevent overuse and to flag anything that falls outside expected ranges.

A team spanning neuromodulation, brain-network science, biomedical engineering, AI and commercial execution, drawn from the Universities of Nottingham and Strathclyde, with an advisory board across venture capital, security engineering and neurotech.

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