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Flagship Product
SteadicoreSilverGuard B2B / B2C

The aged care AI platform for fall risk — without a single wearable.

Predict instability before it becomes a fall.

Steadicore turns ordinary phones, tablets, laptops, or facility cameras into a closed-loop assessment, prediction, intervention, and proof system for fall prevention.

See How It Works
  • 60-day paid pilot available
  • Apple Silicon & Edge-ready
  • Works on existing devices
Steadicore — Counterfactual Stability Engine
Who it's for

Built for three audiences, one loop.

Care homes & RCHEs

Reduce falls, differentiate care, prove outcomes to families and regulators — on your existing tablets.

Rehab teams & physiotherapists

Extend therapist reach with precision assessment, dual-task interventions, and longitudinal evidence.

Families at home

Protect aging parents with short guided assessments and adaptive home exercise — no installation.

The Problem

Fall prevention today is fragmented, reactive, and hard to prove.

  • Static risk scores don't tell caregivers what to do next.
  • Exercise libraries don't adapt to the resident's real instability pattern.
  • Monitoring alerts arrive after the fall, not before.
  • Hardware-heavy solutions stall in procurement for months.
Our Approach

One closed loop: Assess → Predict → Personalize → Reassess → Prove.

1

Multimodal Assessment Engine

Short guided flows (sit-to-stand, turning, balance hold, walk-turn-sit, voice prompts, dual-task) extract digital biomarkers across movement, voice, and cognition.

2

Counterfactual Risk Engine

We go beyond a single risk score to simulate how instability evolves under fatigue, distraction, slower reaction, or narrower margins — ranked instability pathways and a Recovery Margin.

3

Adaptive Intervention Engine

Risk-conditioned, dual-task micro-interventions with dynamic difficulty, progressive overload, and compensation/fatigue detection — not generic exercise videos.

4

Progress Intelligence Layer

Role-based reports for elders, caregivers, and clinicians. Trend lines on sit-to-stand quality, balance stability, dual-task cost, reaction time, asymmetry, and predicted recovery margin.

Feature Highlights

The full-stack prevention platform.

No wearables, no sensors

Runs on any camera + microphone. Phone, tablet, laptop, or facility-owned device.

Dual-task cognitive-motor library

Sit-to-stand with verbal fluency, balance with number sequencing, stepping with reaction inhibition, marching with working memory.

Cohort analytics for operators

See who is stabilizing, plateauing, or deteriorating across your home or program.

Exportable PDF & CSV reports

Designed for operator reviews, therapist handoffs, and future EMR/API integration.

Privacy-first architecture

Minimal raw-media retention, role-based access, audit logs, privacy-by-design.

Hong Kong-ready

Built for RCHE workflows, trilingual (EN / 繁 / 简), and aligned with Hong Kong care realities.

How It Works

From a 5-minute assessment to a measurable trajectory.

  1. 1

    Guided assessment

    A resident or family member runs a short flow on a tablet or phone — sit-to-stand, turning, balance, voice, dual-task.

  2. 2

    Risk & pathways

    The Counterfactual Risk Engine estimates instability under multiple what-if scenarios and computes a Recovery Margin.

  3. 3

    Adaptive plan

    The Adaptive Intervention Engine generates a personalized, dual-task micro-program dosed to the resident's readiness.

  4. 4

    Prove progress

    Role-based progress reports show improvement trends, adherence, and predicted margin shifts to elders, caregivers, and clinicians.

Why Steadicore wins

The only full-stack fall prevention platform.

Competitors do one layer. Steadicore combines all four.

The only full-stack fall prevention platform.
FeaturesSteadicoreTypical competitor
Pure software (no proprietary wearable)IncludedPartial
Counterfactual "what-if" risk simulationIncludedNot included
Adaptive SI-motion micro-interventionsIncludedPartial
Cognitive-motor dual-task designIncludedPartial
Role-based reports (elder / caregiver / clinician)IncludedPartial
Multimodal (movement + voice + context)IncludedNot included

Further reading

The published notes that go with this product — written for the same operational questions, with the sources shown.

  • Locked Door Policy in a Care Home

    A locked door policy for a care home: what the Code of Practice asks for, who holds a key on each shift, the alternatives to try first, and what to record.

  • Bed Exit Alarms in Care Homes: Choosing and Using Them

    How bed exit alarms in care homes work, how pressure pads, infrared and wearables compare, where each fits, and why alarms support rather than replace staff.

  • Fall Prevention in Care Homes

    A practical fall prevention checklist for residential care homes, covering risk factors, the environment, staff routines and where monitoring technology fits.

  • Fall Risk Assessment for Care Homes

    How to run a fall risk assessment in a care home: what to record, how often to repeat it, how to escalate a change, and where the record belongs.

All insights notes →

Ready to prevent falls, not just detect them?

Book a 20-minute demo or start a 60-day pilot. We'll show you live assessments on a tablet.

Talk to Founders