Which signals, at what rate?
Define modalities, sampling needs, session length, and signal-quality requirements. Final specifications depend on the research configuration.
A ring and wristband platform for researchers who need the signal behind the summary.
We’re developing SakshiSense to stream raw physiological and contextual data for custom model development, starting with stress, anxiety, attention, and distraction.
Our target is raw-data access across four modalities. The table describes the programme’s scope, not a final specification for either form factor.
| Signal | What it captures | What you can investigate |
|---|---|---|
| PPG Photoplethysmography | Optical pulse waveforms | Pulse timing, variability, and physiological response |
| IMU Inertial measurement | Movement and orientation signals | Activity context, stillness, and motion artefacts |
| EDA Electrodermal activity | Changes in skin conductance | Arousal and recovery in the context of a study |
| Sound Acoustic sensing | Audio captured with explicit consent | Study-defined acoustic context and sound features |
Sensor placement and combinations may differ between ring and wristband configurations. No sample rates, accuracy, battery life, or performance claims are being made at this stage.
Optical pulse waveforms for exploring pulse timing and variation, with signal quality and motion taken into account.
Before a pilot, we’ll agree the hardware configuration, data requirements, and evaluation plan with your team.
Define modalities, sampling needs, session length, and signal-quality requirements. Final specifications depend on the research configuration.
Discuss raw streaming, timestamp alignment, export formats, and integration with your tools. Connectivity, including BLE, is subject to configuration confirmation.
Plan participant baselines, annotations, model training, and evaluation across people and sessions. Bring your own models or discuss collaboration.
An instrument should respect the experience it observes.
We aim for unobtrusive sensing, accessible hardware, and feedback that leaves the participant in control. SakshiSense takes its name from sākṣī, the witness: a reminder to observe carefully and interpret with restraint.
Meditation and contemplative practice remain part of our research direction, alongside our current work on stress and attention.
Raw-signal streaming is central to the SakshiSense programme. Tell us which signals and export or streaming workflow your study needs; we’ll confirm the supported configuration and development status directly.
SakshiSense is in development. We’re taking research enquiries, not online orders or payments. Research-batch availability, commercial terms, and timelines will be discussed once your requirements are understood.
The programme targets PPG, IMU, EDA, and sound. The final sensor set may differ by form factor. We will confirm the actual configuration before any pilot or purchase.
The intended commercial model combines research hardware with a separate annual subscription for data and model services. Scope and pricing are still being defined. A consumer app is not currently advertised as available.
No. The purpose is research and wellness model development. Physiological signals need task context, participant reports, and validation; they are not a diagnosis or a direct measure of a person’s mental state.
Audio needs explicit consent and a study-specific collection plan. Discuss whether it is necessary, where processing will happen, who can access recordings, and how long they will be kept before a study begins.
Share your required signals, participant count, and timeline.