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/
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.
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?”)
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