Context-aware analytics for digital health

We're excited to be exhibiting at ATTD 2026! If you're attending*, come visit us at booth 85 or book a 1:1 meeting using the button below.

* tickets sold separately at https://attd.kenes.com/

Advertising banner for the ATTD 2026 event in Barcelona, being held 11-14 March 2026.

We develop decision-support software that connects everyday life with clinical reasoning - using explainable analytics, pattern detection, and evidence-first summaries.

Our Mission

Our mission is to bring real-world context into health data so care teams and families can plan ahead, not just look back.

ContextML is building decision-support software that correlates device signals with lived experience - activity, routines, illness, travel, growth phases - to surface patterns, explain changes, and summarise risk windows.

We’re developing this capability through a reference product prototype (Steddia) and an integration-focused API layer, enabling validation through clinical studies and partnerships.

Our initial focus is paediatric Type 1 Diabetes, where real-world variability is the rule rather than the exception. It’s also where better decision support can make a genuinely human difference for children and families - and reduce cognitive burden for clinicians and care teams.

Multiple data sources combined into clear summary insights, illustrating how fragmented signals become actionable information.

From fragmented signals to actionable insight

Steddia: our flagship prototype in paediatric Type 1 Diabetes

A caregiver + clinician ecosystem demonstrating how context-aware analytics can connect home and clinic through a shared intelligence layer.

  • Pattern detection + risk windows

  • Context-aware insights (not just glucose charts)

  • Event and routine modelling (sport, school, illness, travel)

  • Explainable summaries for clinics (pre-visit clarity)

  • Cohort comparison for context

  • Scenario planning (“what if we change routine?”)

Mobile phone showing the Steddia app with a series of natural-language insights for the caregiver of a child with T1D.
Desktop monitor showing the Steddia app for the clinician. The page shows natural language insights for a particular patient.

Collaborate with us

Clinicians & clinics
Help shape pilots, endpoints, and clinical workflows.
• Trial or pilot collaboration
• Pre-visit summary feedback
• Outcomes and evaluation design

Digital health & device teams
Explore embedding context-aware analytics into existing products.
• API/SDK discussions
• Integration concepts
• Joint validation studies

Caregivers & families (T1D)
Test the prototype and tell us what real life actually looks like.
• Usability feedback
• Context logging ideas
• What would genuinely help day-to-day

Send us a message
Tell us who you are (clinician, caregiver, or product team) and what you’d like to explore - we’ll reply personally.

Updates