r = -0.71Med
Energy dip ↔ Ferritin
Requires clinician review.
Oumni OS
The precision health stack no one else has built.
Five integrated simulators. Patient-paired. Family-linked. India-native. Citation-graded.
Oumni OS is the intelligence and orchestration layer behind Oumni — designed to connect fragmented records, biomarkers, symptoms, family context, care plans, and clinician workflows into one longitudinal decision surface.
Prototype · Running todayTesting phaseHuman-in-the-loop
oumni.os / continuity console● live
31
Bio Age
Low
Vessel risk
↓
Inflam.
42
Vit D
↓36%
Anti-TPO
78
Ferritin
2.8
TSH
The Question
Can a single product compress a decade of fragmented care into one coherent system?
Standard care is sequential, single-domain, and reactive. A person may move from a GP to a gynaecologist to a cardiologist to a diagnostic lab — each working with partial records and limited context.
Oumni OS is designed to connect those moments into a single decision surface, bringing together biomarker, behavioural, environmental, family, and clinical context for care teams to review.
Today · Sequential care
Fragmented pathway
GP·
Specialist·
Lab·
Prescription·
Follow-up
Each visit holds partial context. Records sit in silos. Continuity depends on the patient remembering everything.
Oumni OS · One surfacePrototype · Running today
Coherent decision surface
Records
Biomarkers
Symptoms
Family context
Environment
Care plan
→ One longitudinal record
60 Seconds of Proof
One illustrative case. Multiple signals standard care could miss.
Patient A. 35F. Hashimoto's · active fertility window.
In the prototype review, Oumni OS is designed to bring multiple signals into one view — thyroid context, fertility timing, iron stores, cardiovascular markers, mood signals, and care goals.
Illustrative patient
Patient A
35F · Member 4 years
DiagnosisHashimoto's
FertilityActive window
RecordLongitudinal
GeneticsMTHFR · VDR · FADS1
oumni.os / continuity console● live
Prototype · Surfaced for review
What the system surfaces
- 01Fertility window narrowing
- 02Thyroid context before stimulation
- 03Mood signal linked to thyroid trajectory
- 04Lp(a) heart-risk marker surfaced early
- 05Iron deficiency improving
Illustrative case. Modelled outcomes shown for product demonstration only. Not a population-level claim.
A Specific Case · The Catch
How the co-pilot can surface a thyroid problem hiding behind mood symptoms.
Standard pathway
Mood-first framing
PHQ-9 indicates mild symptoms. Without integrated thyroid context, the underlying driver may remain outside the consultation.
PHQ-9: mild
Treatment plan: lifestyle
No thyroid recheck
What the co-pilot surfaces
For reviewPHQ-9 ↔ TSH context
Oumni OS can bring PHQ-9 trends and thyroid markers into the same review surface, helping the care team examine whether thyroid status may be contributing to mood changes.
Mood score (PHQ-9) vs TSH · 12 mo
TSHPHQ-9
Care team note
Requires clinician interpretation
The system can surface and group signals for review. Clinical judgment, diagnosis, and next steps remain with the treating physician.
SurfaceTSH trend + PHQ-9
SuggestRecheck consideration
DecideClinician
oumni.os / continuity console● live
“Your sleep has transformed — deep sleep up 29%. The biggest driver was your thyroid correction.”
Illustrative narrative from the member view, generated from the same longitudinal record the care team sees. Plain-language explanation supports member understanding — not a treatment claim.
What Standard Care Would Have Missed
Five catches, one longitudinal view.
Each signal may be visible somewhere. The problem is that they are rarely organised together.
- 01Surfaced
Fertility window narrowing
AMH trajectory matters more than a single result.
- 02For review
One step away from IVF readiness
Thyroid preparation may need review before stimulation.
- 03Linked
Mood signal with thyroid context
Mood trends and thyroid markers can be reviewed together.
- 04Surfaced early
Heart risk surfaces early
Genetic and biomarker signals can be brought into preventive review.
- 05Improving
Iron deficiency improving
Response can be tracked against adherence and time.
Why This Is Different
Most health AI scores risk. Oumni OS is being built to simulate pathways.
Many healthcare tools operate in a single domain: radiology, ECG triage, nutrition, e-pharmacy, metabolic care, or longitudinal labs. Oumni OS is being built as an integrated simulation and orchestration layer across multiple dimensions of the same person.
Single-domain systems
One slice of one person.
- One modality
- One department
- One episode
- Risk scoring
- Limited continuity
Oumni OS
Prototype · Running todayIntegrated across one patient.
- Integrated simulators
- Longitudinal record
- Family-linked context
- India-native inputs
- Clinician-facing decision support
- Care orchestration and follow-through
The Architecture
Four tiers. One patient.
Each tier earns its right to exist by what it adds. Different audiences, the same underlying patient record.
- 01
Member Layer
For member and family
Patient-readable narrative: Today, Health, Wellbeing, Plan, Fertility, Care, Records.
- 02
Care Orchestration
For care coordinators, pharmacists, and allied health
Profile-aware product checking, family-linked records, Indian environmental and regulatory inputs.
- 03
Clinical Decision Support
For clinicians and care teams
Five simulators, predictive risk, root-cause review, citation-graded research module.
- 04
Intelligence Layer
For annual reviews, strategic partners, and longitudinal proof
Outcomes narrative, case studies, retention insights, stakeholder-ready evidence.
Tier 01 · Member Layer
A narrative the member can actually read.
Today, Health, Wellbeing, Plan, Fertility, Care, Records. Plain language. Longitudinal context. Same record as the care team — different lens.
oumni.os / continuity console● live
The Simulation Engine
Five simulators. Integrated.
Patient-paired. Family-linked. Outputs flow back into one longitudinal record so pathways can be compared, simulated, and reviewed together.
- 01Protocol SimulatorDigital twin
- 02IVF Cycle SimulatorFertility
- 03Therapy ResponsePharma-genomic
- 04Family Risk SimulatorMother–child
- 05Biomarker TrajectoryPre-disease
oumni.os / continuity console● live
Prototype interface · for clinician review.57% prediction confidence
oumni.os / continuity console● live
Pre-simulation triage
Ranked pathways, not single answers.
The system ranks candidate pathways by a risk-adjusted score and presents them for clinician review. Each candidate carries its own efficacy and risk estimates, matched cases, and time horizon.
Clinical decision support only. Final treatment decision rests with the treating physician.
Technical Moat · N-of-1
Did the intervention work, or did the patient not take it?
Standard care often sees only the outcome. Oumni OS is designed to separate observed progress from adherence-adjusted response, helping care teams distinguish between an ineffective pathway and an adherence gap.
01 · The problem
Outcome alone is opaque.
Slow improvement could mean the protocol is wrong — or that adherence was 40%, not 95%.
02 · What Oumni OS does
Adherence-adjusted response.
Estimates response in the context of adherence and observed data, surfaced for clinician review.
03 · Why it matters
Different causes, different next steps.
A protocol change, coaching, review, or follow-through. The right action depends on the right reason.
N-of-1 response review
Observed responseAdherence-adjusted
Adherence
62%
Observed Δ
+0.4 SD
Adjusted Δ
+1.1 SD
Causal Reasoning · N-of-1 Signal Discovery
Symptom–biomarker correlations, computed from the person's own data.
Oumni OS is designed to support personalised statistical reasoning over time. Confidence can improve as more data points are added, helping care teams review symptom and biomarker relationships in context.
r = 0.64Med
Brain fog ↔ TSH
Requires clinician review.
r = 0.58Low
Joint pain ↔ hs-CRP
Requires clinician review.
r = 0.69High
Inflammation ↔ Anti-TPO
Requires clinician review.
Localization = Moat
Built for an Indian patient, not localised from a US product.
Indian healthcare is fragmented across labs, hospitals, pharmacies, family decision-makers, paper records, WhatsApp coordination, Indian drug rules, local food patterns, and environmental realities. Oumni OS is being built for this reality from day one.
Labs
Indian diagnostic networks: Thyrocare, SRL, Metropolis, Apollo, Fortis, Max.
Regulatory
CDSCO scheduling awareness and Indian drug schedules.
Food
Cultural staples in the food checker — roti and wheat/gluten context.
Environment
Delhi heat, AQI, hard water, and UV exposure.
Family
Mother–child and family-linked records where consented.
oumni.os / continuity console● live
Product check · India-native
A member types “roti”.
The system flags it for review against the member's wheat / gluten context, alongside Delhi AQI, hard water, and active medications. Contextual, not generic wellness advice.
AllergiesWheat · Gluten · Dairy · Yeast
EnvironmentDelhi · AQI 210 · Hard water
MedicationsLevothyroxine · Fertility planning
One Patient · Multiple Lenses
Same patient. Different lens per role.
The data is shared. The role-specific dashboard is not. Oumni OS is designed so different care roles can work from the same underlying patient context while seeing the lens relevant to their work.
GP viewPredictive risk dashboard
Predictive risk dashboard
IVF window
Active
Cancellation
Low
Thyroid
Stable
Nutritionist viewPre-consult brief
Pre-consult brief
- WinsIron normalised · Vit D 42
- GapsMagnesium intake · sodium
- AdherenceSelenium 94% · Methylfolate 71%
- AgendaPre-IVF nutrition window
Same record · Different lens
What We Are Rebuilding
Today, a clinician-facing intelligence prototype. First milestone: clinical co-pilot.
01
AI recommends
Simulators surface ranked clinical pathways with confidence intervals.
02
Clinicians decide
Treating physician validates, modifies, or rejects. Final decision rests with the clinician.
Accountable03
Outcomes train the model
Each decision and outcome improves the simulation cycle over time.
Long-term vision
- Today
Clinician-facing intelligence prototype
- Next
Clinical co-pilot
- Then
Regulated medical intelligence layer
- Eventually
OS for caregivers and autonomous care workflows
Oumni is not claiming autonomous medicine today. The current product is a prototype designed to support clinician review.
Trust Architecture
Powerful health intelligence needs clear boundaries.
Human-in-the-loop
Care teams remain accountable for clinical decisions.
Citation-graded
Research and recommendations should be traceable to source quality.
Consent-led
Family-linked and patient-paired records require explicit permission.
Testing phase
Prototype capabilities should be labelled clearly until validated and regulated.
The goal is not autonomous medicine. The goal is better-prepared human care.
Continuous Care · Continuous Intelligence
Indian and global health AI score risk. Oumni OS is being built to simulate outcomes.
Five integrated simulators. Patient-paired. Family-linked. India-native. Citation-graded.
Oumni OS is being built as the intelligence layer behind continuous care — connecting records, context, simulation, clinician review, and follow-through into one longitudinal system.
Prototype · Running todayTesting phaseHuman-in-the-loop