Turning scattered health data into decisions that save lives.
Our Retrieval-Augmented Generation (RAG) AI connects to the systems you already use, retrieves the right guidance and local data at the right moment, and produces clear, actionable outputs for teams on the ground and leaders at the top.
Measures how many people the program is connecting with — both directly and indirectly.
Goal: Make sure the right people are engaged, counselled, and screened.
How our AI helps:
Merges clinic, registry, and field lists to create a clean, geo-tagged population roster.
Retrieves local guidelines to auto-build name-lists for outreach (by age, risk, pregnancy, etc.).
Suggests micro-plans: catchment heatmaps, visit routes, and SMS/WhatsApp cohorts.
We track: # counselled, # screened, % coverage by life-course group, new households geo-located.
Measures the health outcomes and how well the program is changing lives.
Goal: Improve health outcomes and close care gaps.
How our AI helps:
Surfaces the right SOPs, checklists, and patient-friendly instructions at point of care.
Builds risk-stratified follow-up lists and nudges missed appointments.
Summarises outcome trends (e.g., control rates, completed referrals) with root-cause hints.
We track: control rates (HTN/DM), referral completion, return-visit adherence, treatment uptake.
Estimate long-term benefit of the program using public health metrics.
Goal: Show long-term benefit in simple, comparable terms.
How our AI helps:
Retrieves published effectiveness data and applies it to local cohorts.
Estimates life-years saved, prevented events, and DALYs averted from current performance.
Runs “what-if” scenarios to prioritise the next best actions.
We track: events averted, life-years saved, DALYs averted, impact per 1,000 population.
Demonstrates the economic value and efficiency of the program.
Goal: Prove value for money and guide smarter spending.
How our AI helps:
Links activity, outcomes, and unit-cost data to estimate cost per result.
Projects revenue/transfer flows under pay-for-performance or insurance schemes.
Highlights the lowest-cost path to hit targets (“efficiency frontiers”).
We track: cost per screen/diagnosis/control, budget impact, revenue captured, ROI.
Tracks whether the program is sustainable and embedded in the health system.
Goal: Build programs that last—embedded in routine systems.
How our AI helps:
Interoperates with EMRs, registries, labs, pharmacy, and national reporting (FHIR/HL7 where available).
Creates live dashboards for facilities, districts, and ministries—no double entry.
Generates audit-ready logs and documentation for governance and donors.
We track: data completeness, sync success, facility activation, workforce trained, dashboard use.
Our solutions are running in South America, Europe, and Africa.
Our solutions are running in US, South America, Europe, Asia and Africa.
Population & burden: size, risk groups, service gaps.
Pathways & capacity: facilities, referral routes, workforce, and supply constraints.
Data landscape: what systems exist (EMR, lab, pharmacy), how clean/complete they are.
Policy & financing: guidelines, incentives, and pay-for-performance opportunities.
Equity & access: geography, gender, and socioeconomic barriers.
Our RAG AI merges pharmacy logs with clinic records, builds risk-based referral lists, and nudges missed follow-ups. Teams see who to call today; managers see control rates and revenue captured under pay-for-performance. Pillars: Reach, Impact, Health Economics, Systems.
We retrieve national protocols, match them to HPV results, and generate action lists for VIA/colposcopy/LEEP. Dashboards track coverage, loss-to-follow-up, and cost per completed treatment. Pillars: Reach, Impact, Life-Years, Health Economics, Systems.
Geo-tagged rosters, effective-coverage dashboards, and an investment forecaster help facilities plan outreach and estimate transfer revenue. Leaders see which centres need coaching and which actions move KPIs fastest. Pillars: Reach, Impact, Health Economics, Systems.
The AI flags patients at highest risk of poor control or no-shows, produces call/SMS lists, and tracks outcome trends (A1c, foot exams). Scenario tools show life-years saved from improved adherence. Pillars: Impact, Life-Years, Systems.
We identify zero-dose/under-vaccinated children, map clusters, and generate micro-plans for outreach days. The model estimates events averted and budget needs for cold-chain and teams. Pillars: Reach, Life-Years, Health Economics, Systems.
From ANC scheduling to postpartum checks, our AI retrieves guidelines, builds risk queues (e.g., hypertensive pregnancy), and tracks timely visits. Leaders see gaps by facility and equity group. Pillars: Reach, Impact, Systems.
Where pharmacies are first contact, we link screening to digital referrals and clinic outcomes, measuring completion and cost per diagnosis/control. Pillars: Impact, Health Economics, Systems.
We connect activity, outcomes, and unit-costs to show cost per result, budget impact, and ROI. “Next best action” suggests the lowest-cost path to targets. Pillars: Health Economics, Impact.
The platform spots underserved geographies and groups, quantifies missed coverage, and proposes targeted outreach with expected impact. Pillars: Reach, Impact.
FHIR/HL7 connectors sync with EMR, lab, pharmacy, and DHIS2. No double entry—just live dashboards, audit trails, and role-based access. Pillars: Systems.
Fast assessment of data quality, policies, and incentives. We deliver a country-specific plan across the five pillars with quick wins and a roadmap. Pillars: Systems, Health Economics, Reach.
Our solutions are running in Europe, Asia and US