STARDEEP™ · THE ENABLING PLATFORM

The technology underneath SweetDeep.

StarDeep connects wearable signals, clinically grounded data, compact Edge-AI models and governed validation. Its primary role is to create and support metabolic-intelligence applications for existing consumer wearables.

ONE-MINUTE OVERVIEW

StarDeep, explained in 60 seconds.

A narrated walkthrough of the platform working behind applications such as SweetDeep, including its governed research workflows.

StarDeep in 60 seconds 60-second narrated overview. Illustrative diagrams, not recordings of a validated clinical product.
Read the spoken transcript +
  1. 00:00 One foundation.

    Connected applications. Think of StarDeep as the system working behind the scenes. It connects the technology that supports applications such as SweetDeep.

  2. 00:10 Start with data and a clear purpose.

    In this study example, it starts with three things: the signals coming in, the participant's context, and the study's rules.

  3. 00:20 Give each specialist a focused task.

    A supervisor then shares the work. One helper checks the data, another looks for patterns, and another pulls the findings together.

  4. 00:30 Keep people in the decision loop.

    If something is unclear, a person reviews it. The system supports the team; clinical decisions stay with qualified professionals.

  5. 00:40 Turn results into traceable summaries.

    Reviewed findings can become a useful summary or study dashboard, with a record of how the team reached each result.

  6. 00:50 Begin with a defined partner program.

    For partners and investors, the next step is practical: define one use, test it carefully, and decide what the evidence supports.

HOW STARDEEP ENABLES THE PRODUCT

Four connected layers, from evidence to experience.

Each layer has a distinct job. Together, they make SweetDeep and future applications testable, efficient and suitable for partner integration.

01

KNOWLEDGE + EVIDENCE

Ground the question.

Curated research data, clinical references, study context and acceptance criteria define what the system is intended to support.

02

SIGNAL INTELLIGENCE

Find meaningful patterns.

Signal processing and digital-biomarker methods transform compatible wearable inputs into features that can be tested and interpreted.

03

COMPACT EDGE-AI

Bring intelligence close to the sensor.

Efficient models are designed for compatible phones and smartwatches, reducing dependence on continuous cloud processing.

04

APPLICATION + GOVERNANCE

Deliver a defined experience.

Partner applications combine clear outputs, validation rules, traceability and appropriate human oversight.

FROM PLATFORM TO IMPACT

One foundation, multiple partner applications.

StarDeep is not a separate story from SweetDeep. It is the technology and evidence system that makes applications such as SweetDeep possible.

FOUNDATION

StarDeep™

Reusable signal, model, evidence and governance capabilities.

FIRST APPLICATION

SweetDeep™

A metabolic-wellness experience designed for compatible consumer wearables.

FUTURE PROGRAMS

Cardiometabolic applications

Additional use cases advance only with fit-for-purpose evidence and partner requirements.

GOVERNED DEVELOPMENT

Reliability is built around a defined context of use.

Model performance is meaningful only when the intended user, decision, data and acceptable risk are explicit.

  1. 01

    Define

    Specify user, task, inputs, outputs and boundaries.

  2. 02

    Develop

    Use authorized evidence and task-specific acceptance criteria.

  3. 03

    Validate

    Compare against reference data, expert review and predefined thresholds.

  4. 04

    Deploy + monitor

    Track provenance, exceptions, drift and human escalation.

SECONDARY PLATFORM EXTENSION

Controlled research operations for life-science programs.

StarDeep can also support supervised Agentic AI workflows for selected decentralized-research tasks. This extends the same evidence and governance foundation; it is not a separate NeuTigers business or an autonomous clinical decision system.

Discuss a validation pilot ↗
  • Data qualityFlag missing or inconsistent study information for review.
  • Wearable operationsOrganize device and participant-data exceptions.
  • Traceable reportingPrepare evidence-linked summaries with human oversight.
Supporting detail: Research workflow architecture
StarDeep governed Agentic AI system architecture for decentralized clinical-trial operations
Supporting detail: Trial supervision
StarDeep trial supervisor agent workflow with human oversight and audit controls
Supporting detail: Specialist research agents
Specialist AI agent helpers supporting decentralized clinical-trial operations

PRIMARY COMMERCIAL PATH

Integrate metabolic intelligence into an existing wearable ecosystem.

Start with compatible signals, device constraints, intended user experience and the evidence required for the target market.

Discuss an OEM integration ↗

STARDEEP™

Start with the use case, evidence and deployment environment.

Talk with our team ↗