What is the name of your organization?
Vitalxchange
What is the name of your solution?
Seva: Pediatric AI Co-Pilot
Provide a one-line summary or tagline for your solution.
Improving global child behavioral and developmental outcomes through an AI-guided digital platform as a copilot for community health workers.
In what city, town, or region is your solution team headquartered?
Cleveland, OH, USA
In what country is your solution team headquartered?
USA
What type of organization is your solution team?
For-profit, including B-Corp or similar models
Film your elevator pitch.
What specific problem are you solving?
Globally, over 250 million children under age five are at risk of not reaching their developmental potential due to lack of screening tools and access to care professionals (https://www.worldbank.org/en/topic/earlychildhooddevelopment). Unidentified behavioral and developmental conditions, such as autism and ADHD, are linked to poor educational attainment, long-term mental health challenges, reduced employability, and lower lifetime earnings, fueling intergenerational poverty.
In the U.S., 1 in 6 children has a developmental delay, and with a 50% shortage of providers, most are not identified until after age four and on a waiting list for >12 months, squandering the optimal window for early intervention (https://www.cdc.gov/ncbddd/childdevelopment/facts.html). While Ghana’s true incidence is underreported, specialist-to-child ratios exceed 1:40,000, severely limiting access to developmental services. (https://www.researchgate.net/publication/316180325).
Despite global investments and increased awareness, the gap between risk and response remains wide. The failure to act early not only affects individual child outcomes—it limits the social and economic potential of entire communities. Without scalable, proactive approaches to early identification and support, millions of children will continue to fall behind before they even begin school.
What is your solution?
Community Health Worker (CHW) programs are rapidly growing initiatives to improve pediatric health outcomes globally (https://www.who.int/publications/i/item/9789241550369. There are ~60,000 CHWs in the US, and over 2500 in Ghana. This existing infrastructure offers a powerful channel for delivering developmental support at scale. However, CHWs do not have the expertise/tools to manage early concerns, leading to missed opportunities for prevention and intervention.
Our solution, Seva, is an AI-guided digital platform that serves as a copilot for CHWs to provide early developmental support. The platform uses structured family and child inputs to generate personalized support plans. Seva’s AI system combines rules-based logic, a patent-pending tagging framework, and large language models to emulate clinical developmental and behavioral analysis to generate each plan (which includes coaching, content, and parent–child activities). CHWs can also access on-demand video consultations with early childhood clinicians, such as behavior therapists, for real-time review and supervision.
Seva is an innovative and scalable system that leverages existing CHW infrastructure to expand access to expert-driven care. It extends the reach of constrained clinical resources and delivers timely, personalized support—improving outcomes for children and families in low-resource settings.
Who does your solution serve, and in what ways will the solution impact their lives?
Seva is designed to serve multiple stakeholders in low-resource settings.
Families receive personalized coaching and play-based parent–child activities guided by CHWs. These supports help parents build lasting caregiving skills they can apply across children and contexts—promoting confidence, reducing stress, and improving early developmental outcomes. Children benefit from holistic management of developmental gaps in a nurturing home setting.
Community Health Workers (CHWs) access Seva through an online portal to manage clients, collect developmental assessments, and deliver personalized support plans. They can also consult a virtual expert panel for e-consults and supervision of behavior plans. Each family’s data is stored in a profile accessible to both the family and the broader care team.
Pediatric providers gain access to rich developmental data that is difficult to gather during brief clinic visits. This improves care planning, referral quality, and adherence—especially after age two, when well-child visit rates drop by over 25%. Seva helps re-engage families during this critical window.
Healthcare systems benefit from smarter triage and optimized resource use. High-acuity cases are escalated for diagnosis and treatment, while lower-acuity concerns are managed by Seva-enabled CHWs—extending specialist reach, improving outcomes, and reducing long-term costs.