AI-driven Healthcare ERP
Pushing the limits to deliver value-based care securely in low resource environments, since 2015.
Our impact at the grassroots
Updated 8 September 2026
7 in 10
of NCD cases improve under continued care
69% — of patients who started outside the normal range moved back towards it
1 in 4
of the people we screen are living with an NCD
27% — of patients screened had a reading in the hypertensive, diabetic or anaemic range
2 in 3
of NCD diagnoses are the patient's very first
68% — of cases with a recorded history had never been told before
1,18,790
Patients under care
Enrolled and followed up
3,46,306
Clinic visits
Captured as structured data
1%
Of India's districts served
Mobile medical units, running end to end
11+
Years in the field
In low-resource settings since 2015
Success stories
Child Survival IndiaSupported by
Cancer screening · Behror, Rajasthan
Forty years in the fields outside Sodawas, and no one had ever screened her for cancer. She would not have known what she was looking for.
₹8.5 lakh free treatment
provided by Rajiv Gandhi Cancer Institute prevented severe financial distress for her family
Tuberculosis · Kanpur Dehat, Uttar Pradesh
A cough you have had for months is not an emergency when the clinic is a walk across the fields and there are ten people at home to feed.
TB diagnosis in 10 days
from her first visit highlights how last-mile healthcare delivery can transform lives through early detection and continuum of care.
Diabetes · Nashik, Maharashtra
Sanchita Uttam Chakor14 · Dhakambe, MaharashtraSanchita felt tired all day and everyone thought it was grief and stress. She sat through a diabetes session, then told the team she had every symptom on the list.
A childhood saved
with help to manage her chronic condition and resume her routine activities, including studying, playing and socializing.
From the field
Technology
Platform perfected over a decade to deliver quality care in challenging low resource environments.
One record that follows the patient, not the camp
Everyone seen is enrolled once and keeps the same ID across villages, vans and years. The member card carries who they are; underneath it sits every visit they have ever had — vitals, conditions, diagnosis, codes, referral — most recent first. A clinician opening a returning patient reads the whole trajectory before touching a form.
Every tablet handed over, counted
Dispensing is recorded against the visit, with quantity and form drawn from a managed formulary. It rolls up by medicine, by form and by period — what went out, how much of the pharmacy was actually used, and how many medicines the average consultation needed. The same query backs the procurement CSV.
The care that has to happen somewhere else
A case beyond what the unit can treat is marked as a referral — one facility the patient was sent to, and any number of services they were sent for. Together those give the referral rate and the shape of unmet need: which facilities carry the load, and which services the population keeps needing.
Are people actually getting better?
Blood pressure, blood sugar and haemoglobin are classified into clinical bands as they are recorded. Each patient's first and last reading in a period are then compared, which answers the question a screening programme exists to answer. A separate view isolates first-time diagnoses — the cases the programme found, as distinct from the ones it inherited.
Plain language in, standard codes out
Clinicians write the diagnosis the way they would say it. The platform reads that text alongside the vitals findings and returns ranked ICD-10-CM candidates with confidence scores. The clinician ticks what applies — nothing is coded without a person accepting it — and the codes are stored on the visit.
Flagged while the patient is still in the room
Readings are classified the moment they are typed, and the flag appears beside the field before the visit is saved. Haemoglobin is read against the band for that patient — men, non-pregnant women, pregnant women, children — rather than one cut-off for everybody. An abnormal value reaches the doctor at the bench, not in a report a week later.
Built for Managers, NGOs and Funds
Filtered by project, village and date range, the same numbers answer three different questions. The doctor sees prevalence, progression and who is presenting. The implementation manager sees visits per village, medicine consumption, referral load and the device-access gap. The donor sees reach, detection and how many patients moved back towards normal under continued care.
Screens are product mockups; the figures in them are illustrative. No patient data is shown.
Bring the person who would actually use it. Thirty minutes on the live platform, then a pilot scoped to one of your existing routes.
Tell us the districts, the population and the conditions you cover — we will come back with what it takes to run it.
