Surging texts buried urgent cases. Swahili-trained AI answers 70% of queries, freeing nurses to focus on high-risk symptoms.
A non-profit healthcare organization partners with African governments to provide SMS-based maternal health support to mothers who often live hours from the nearest clinic.
A planned one-way notification service evolved into a two-way dialogue, overwhelming a manual help desk that could not scale to handle surging...
“Many people in rural Kenya might live more than 1 hour away from the nearest health facilities. With no access to the internet, they lack ways to get information about issues they experience during pregnancy. PROMPTS is a lifeline that they can reach out to and get reliable, helpful information from.”
Jacaranda Health's Patient support is part of this use case:
Maternal and newborn health solutions for public health systems in Africa.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Matching patients to 10,000 global trials was slow and manual. Now, LLMs cross-reference medical records to find pre-approval therapies.
Manually sifting wartime data was dangerously slow. Now, AI scans social media to filter noise, flag threats, and locate missing civilians.
Self-hosting GPUs capped training at weekly runs. A serverless shift cut costs 3x and enabled daily iteration for 87% accuracy.
Manual checks across 160 games bottlenecked support. GenAI now references player data to resolve 90% of inquiries in minutes.
70k monthly queries overwhelmed manual triage. Strict AI guardrails now resolve admin tasks, routing medical needs to licensed clinicians.
Fragmented CRM data and manual spreadsheets bottlenecked a lean team. Now, staff use AI to clean records, segment donors, and draft emails.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Surging texts buried urgent cases. Swahili-trained AI answers 70% of queries, freeing nurses to focus on high-risk symptoms.
A non-profit healthcare organization partners with African governments to provide SMS-based maternal health support to mothers who often live hours from the nearest clinic.
A planned one-way notification service evolved into a two-way dialogue, overwhelming a manual help desk that could not scale to handle surging...
“Many people in rural Kenya might live more than 1 hour away from the nearest health facilities. With no access to the internet, they lack ways to get information about issues they experience during pregnancy. PROMPTS is a lifeline that they can reach out to and get reliable, helpful information from.”
Jacaranda Health's Patient support is part of this use case:
Maternal and newborn health solutions for public health systems in Africa.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Matching patients to 10,000 global trials was slow and manual. Now, LLMs cross-reference medical records to find pre-approval therapies.
Manually sifting wartime data was dangerously slow. Now, AI scans social media to filter noise, flag threats, and locate missing civilians.
Self-hosting GPUs capped training at weekly runs. A serverless shift cut costs 3x and enabled daily iteration for 87% accuracy.
Manual checks across 160 games bottlenecked support. GenAI now references player data to resolve 90% of inquiries in minutes.
70k monthly queries overwhelmed manual triage. Strict AI guardrails now resolve admin tasks, routing medical needs to licensed clinicians.
Fragmented CRM data and manual spreadsheets bottlenecked a lean team. Now, staff use AI to clean records, segment donors, and draft emails.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.