Non-invasive BCI · Brain health

Making sense of the brain

Synavelle connects brain science, artificial intelligence and engineering to move non-invasive brain-computer interfaces from research toward meaningful, real-world use.

Synavelle brain-sensing sleepbuds in a warm bedside setting
Brain-sensing sleepbuds
Brain science × AI Human-centered engineering

Flagship · BCI-Sleepbuds

PSG-benchmarked EEG monitoring and adaptive sleep support

TWS sleep earbuds with a multi-channel ear-EEG signal array. Real-time brain data enables closed-loop, personalized sleep support while one compact device moves naturally from daytime listening to overnight use.

  • Bean-shaped body nests inside the concha for pressure-free side sleeping
  • Audio fades with detected sleep onset instead of following a preset playback duration
  • Daytime TWS earbuds and overnight sleep monitoring in one device
BCI-Sleepbuds in-ear brain-computer interface sleep earbuds

01 · Our focus

From complex neural signals to trustworthy understanding

We are building a long-term technology foundation—not a single isolated feature. Our work focuses on reliable data, rigorous validation and responsible paths from research to real-world use.

A complete pair of BCI-Sleepbuds beside five multichannel EEG traces.

What we focus on

Non-invasive brain-computer interfaces and brain-health technology.

What guides us

Clear evidence, scientific boundaries, privacy and ethical responsibility.

01

Human-centered questions

Start with real needs and the complexity of real people—not a technology looking for a use.

02

Reliable data first

Treat data quality, repeatability and individual differences as foundations for useful AI.

03

Progress with evidence

Advance through careful validation and communicate only what the evidence can support.

30s EEG sync interval for a low-latency closed loop
8h Continuous all-night EEG recording
5-stage W / N1 / N2 / N3 / REM sleep staging
2-in-1 Daytime TWS earbuds and overnight sleep support

02 · How we work

One trustworthy system for brain science, AI, and validation

Each layer supports the next: trustworthy inputs, rigorous evaluation, meaningful patterns and responsible interpretation.

  1. 01

    Neural signal foundations

    Researching non-invasive ways to capture and structure signals connected to brain activity.

  2. 02

    Data quality & validation

    Building repeatable methods to assess signal integrity before drawing conclusions.

  3. 03

    Patterns over time

    Studying longitudinal change and individual differences instead of relying on isolated measurements.

  4. 04

    Responsible AI interpretation

    Exploring explainable outputs that respect confidence, context and clear capability boundaries.

03 · Exploration areas

Technology with the potential to support better brain-health understanding

We explore possible applications carefully, without turning early research into premature promises.

A person sleeping with a BCI-Sleepbud while stacked EEG traces and repeated-night signals appear above.
01

Brain-health observation

Explore ways to make changes in brain-related patterns more visible and understandable.

02

Cognitive-state research

Study how attention, fatigue and recovery may be reflected in complex signals.

03

Longitudinal understanding

Investigate how stable data over time can provide more context than a single reading.

04

Research collaboration

Create useful tools and evidence with partners across brain science, AI and health innovation.

04 · R&D stage

Built through steady, verifiable progress

Current focus Functional prototype

The current program centers on technology development, repeatable validation and responsible product exploration for non-invasive brain-computer interfaces.

Functional prototypeIn-ear impedance ≈ 8.9 kΩSNR 18.46 dB
Detailed specifications and launch information will be shared after stage validation and intellectual-property planning.

05 · About Synavelle

Brain technology people can trust

Synavelle is a California-incorporated neurotechnology company building non-invasive brain-computer interfaces and brain-health technology. We bring brain science, artificial intelligence and engineering together to translate reliable signals into responsible, real-world products.

Brain science · Responsible AI · Human-centered engineering
01

Evidence before claims

Validate first, then communicate only what the evidence can support.

02

Human by design

Build around everyday life, individual differences, comfort and privacy.

03

Research into real use

Connect brain science, AI and engineering to create responsible practical value.

Start a conversation

Let’s explore what better brain-health understanding can enable

We welcome conversations with partners across brain science, artificial intelligence, health innovation, investment and media.

mingchaotan@outlook.com