Cribsy: at-home AI screening for infant neuromotor risk
Official title: Cribsy: A platform for home-based automated developmental risk screening
Funded at Bsolutions, INC. · NIH-11407124 · Data updated 2026-11-12
A smartphone-based, AI-powered screening tool helps identify early neuromotor risk in infants by analyzing short home videos uploaded by parents.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Bsolutions, INC. NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project start | July 3, 2024 |
| Project end | August 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $556,507 |
| NIH project number | 2R44HD115478-03A1 |
| Project ID | NIH-11407124 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are infants within the target age range (newborn to 11 years, with emphasis on early infancy) whose caregivers can use a smartphone app for recording videos.
✕Less likely to help
Children whose caregivers lack access to smartphones or reliable internet, or whose development is not within the neuromotor risk scope may see limited benefit.
What this research studies
Cribsy is a phase II project that uses a smartphone app and an automated AI engine to screen infants for neuromotor risk from videos parents record at home. The system compares the infant’s movements to those of typically developing babies and provides an easy-to-understand risk index with explanations. The goal is to shorten the time to identification, reduce the need for expert video labeling, and support caregivers with user-friendly developmental reports. Clinicians and families will be involved in refining the app and reporting features to fit real-world pediatric care and telehealth workflows.
Why it matters
Potential benefit: If successful, Cribsy could enable earlier detection of developmental risks, enabling earlier intervention and potentially better long-term outcomes for children.
How similar studies have gone: Previous observational screens have improved early detection when combined with clinician follow-up; this project builds on AI-assisted parental video screening with added explainable outputs.
Where this research is happening
-
Bsolutions, INC.
Seattle, United States Active
Researchers
- Principal investigator: Modayur, Bharath — Bsolutions, INC.
- Study coordinator: Modayur, Bharath
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.