Team
Products 3
Select one to read moreGenExcel AI GenExcel is a mobile app for parents of KG–Class 12 children. A voice questionnaire and connected wearables build each child's profile, then the app delivers nutrition, fitness and learning plans—every one approved by a qualified specialist. Includes NutriScan meal tracking and HELIX, an in-app AI companion. Free 90 days
GenExcel AI — Product Details
What it is. A mobile app (iOS and Android, React Native) that gives families of school-age children daily, plain-language guidance across nutrition, fitness, healthy habits and learning. Built for ages 6–18 and their parents, with separate parent and student journeys inside one login.
How personalisation works. Onboarding is a friendly voice-led questionnaire covering the child's age, allergies, food preferences, eating and sleep patterns, activity level, attention span and learning style. This "nurture profile" — combined with read-only wearable data from Apple Health and Health Connect (steps, heart rate, sleep, activity) — drives every plan the app produces. No genetic data is collected, stored or referenced anywhere.
Core modules
- Personalised diet & nutrition — 7-day meal plans with swaps, grocery lists, water and weight tracking.
- NutriScan — photograph a meal for estimated calories, macros, allergen flags and a personal "fit-for-you" score.
- Workout & fitness — guided workout plans with live set logging and progression tracking.
- Wellness & habit tracking — streaks, goals, activity dashboards and reminders.
- Learning hub & study plans — curated content library across eight domains, structured study plans, text-to-speech, reading streaks.
- Brain & skill games — eight games whose difficulty adapts to the child's age, sleep quality and attention profile, plus an educational strengths view.
- HELIX AI companion — chat and voice assistant that knows the child's profile, plans and activity; gives everyday guidance, never a diagnosis, and directs families to professionals.
- Telemedicine & report kiosk (parent side) — consultations with general clinicians and paediatricians; capture and store medical reports.
Safety and trust. Every personalised nutrition and education plan passes through a qualified nutritionist or educationist for approval before the family sees it — AI drafts, a professional signs off. All output is framed as educational and carries medical disclaimers. Consent is versioned and guardian-mediated for minors, with account and data deletion available. DPDPA-aligned by design.
Commercial model. Free for the first 90 days, then subscription (₹1,999/year school-year rate; ₹499/month and ₹4,999/year options; family and B2B School Wellness Pack available).
CareFirst AI
CuraNova builds CareFirst AI, closed-loop emergency medical infrastructure for India. An SOS tap connects patients, ambulances, and a clinically-staffed command centre to receiving hospitals in one audited journey. Live across Almas Hospital's fleet in Kerala, we're scaling hub-and-spoke, with Code Orange stroke-response pursuing SaMD licensing as our regulatory frontier.
CareFirst AI — Product Overview
CareFirst AI is a vertically integrated emergency medical operating system that runs the entire pre-hospital chain — call → dispatch → driver → patient → hospital — as one tracked, audited loop. The architecture deliberately separates a non-device logistics layer from a single SaMD clinical component, keeping regulatory scope precise and defensible.
CareFirst (consumer SOS app). One-tap SOS with GPS in under two taps, working in guest mode without login so a bystander never hits a signup wall. The case opens at the command centre the instant the button is pressed. It carries live ambulance tracking with ETA countdown, smart hospital selection ranked by distance, specialty, and trauma level, a medical-records vault shared with the CCC on trigger, post-care rating that feeds quality monitoring, and downloadable case history. Design is disciplined: speed over beauty, and an offline-resilient SOS that queues and retries so one dropped request never costs a life.
CareFirst Ambulance App (driver/paramedic). Number-plate login with no device pairing. A daily readiness checklist that varies by ambulance type (BLS/ALS/MICU) and blocks a driver from going online if critical items fail — cutting failed dispatches. An online/offline toggle feeding dispatch ranking, mission alerts with a 30-second accept/decline countdown, turn-by-turn navigation, mission lifecycle controls, and in-app CCC call integration.
Care & Command Centre (CCC). A web console operated by CuraNova-trained dispatchers, with doctors and EMTs on-site rather than mere call-takers. Full case lifecycle state machine, a live GPS fleet map, AI-assisted dispatch ranking ambulances by true ETA (Google Maps Routes API, not straight-line distance — critical in Kerala's road-dense geography), hospital matching on trauma level and bed availability, a specialist squad system (Stroke, Cardiac, Trauma, Pediatric), and an immutable append-only case timeline. The governing principle is explicit: software assists, the dispatcher decides. Every clinical decision is confirmed by a trained human — your key differentiator for clinical credibility and liability positioning.
ED Screen. A live wall display in the partner hospital's emergency department showing the incoming case, likely diagnosis, and ETA before arrival, so the bay is prepared while the patient is en route. This is what actually closes the loop rather than leaving a handoff gap.
Code Orange (regulatory frontier). The AI-powered acute stroke-response module, built on a separate clinical-protocol platform where MedGemma lives — deliberately not wired into the live dispatch workflow. It triggers a structured, protocol-driven pathway for a time-critical case where every minute is brain tissue. It is the one component positioned as SaMD, pursuing MD-9 licensing under MDR 2017 (CDSCO) — an estimated 12–18 month roadmap and the intended regulatory moat.
Current state. The CCC console and backend microservices are live on GCP (asia-south1, India data residency); the CareFirst apps are in pilot-stage production at Almas Hospital; Code Orange remains on the licensing pathway. Everything is India-first by design — DPDPA 2023, DLT-registered SMS, AES-256 encryption at rest.
iHIS CuraNova iHIS is a cloud-hosted Intelligent Hospital Information System. Thirty-plus modules—registration to ICU to general ledger—run on one shared patient and financial record, with single sign-on and role-based access. Hosted in India and aligned to DPDPA 2023, ABDM and NABH. The v4 line is in user acceptance testing.
CuraNova iHIS — Product Brief
Intelligent Hospital Information System · CuraNova Global Med LLP
CuraNova iHIS is a cloud-hosted Intelligent Hospital Information System. Thirty-plus modules — registration to ICU to general ledger — run on one shared patient and financial record, with single sign-on and role-based access. Hosted in India and aligned to DPDPA 2023, ABDM and NABH. The v4 line is in user acceptance testing.
Product identification
CuraNova iHIS is a Hospital Information System (HIS/HMIS) from CuraNova Global Med LLP, Kottakkal, Kerala; the v4 line is in User Acceptance Testing. It digitises a multi-specialty hospital's administrative, financial and clinical-record workflows on one integrated record with role-based access, across 25+ specialties. Users are hospital staff only — clinicians, nurses, pharmacists, technicians, front-office, finance, quality and administrators. Device classification is not yet formally determined; the working position is administrative and clinical-information-management software, outside medical-device regulation or at the lowest tier, since iHIS does not diagnose, treat or decide.
Module estate
Thirty-plus independent modules share one patient and financial database and one role model. Patient access and clinical care: Front Office, Admission (ADT), Doctor OP, Emergency, Nursing and OT, Physiotherapy, Discharge Summary. Diagnostics and therapy: Laboratory, Radiology, Dialysis, Blood Bank, Medical Records, CSSD, Infection Control. Pharmacy and supply chain: Pharmacy, Clinical Pharmacy, Pharmacy Store, General Store, Purchase. Revenue cycle: Billing, Charge Capture, Cost Counselling, Insurance. Finance and back-office: Finance, Accounts, HRMS, Housekeeping and Maintenance. Quality and management: Quality (QMS), Admin Console, MD/CXO Executive MIS. Charge Capture turns each billable event into one priced charge and a balanced GL voucher, so activity cannot fall out of the ledger.
Technical details
iHIS is a browser-accessed cloud application — no desktop or mobile client, no embedded software. Java 21 with Spring Boot runs the transactional cores, Python 3 with FastAPI the clinical and ancillary services, React 18 the front-ends. Data sits in PostgreSQL on Google Cloud SQL, one shared pooled instance with per-module least-privilege roles, on Google Kubernetes Engine in region asia-south1. Delivery is Git-based with mandatory non-author review and automated pipelines. No external clinical, third-party or medical-device integrations are in the current build; HL7, DICOM and ABDM/FHIR gateways are designed, not deployed. Logic is deterministic and rule-based with maker-checker approval on financial documents, and no AI is active in production.
Security, access and compliance
All data is hosted in India (Google Cloud, asia-south1). Staff sign in once via Google Identity Platform, with Microsoft Entra ID federation, and open every permitted module without re-login. Sessions are token-based and server-validated: the signed, HttpOnly cookie carries no PHI or roles. Role-based access composes per-module privilege codes into roles, and finance keeps submitting and approving as distinct authorities. Traffic is TLS-encrypted, Cloud SQL storage encrypted at rest with customer-managed keys available, the database private, secrets in a managed store. Key events are audited with no PHI in logs, and backups support point-in-time recovery. iHIS aligns to DPDPA 2023, ABDM, NABH 6th edition and the MeitY EHR Standards 2016 — and NABH evidence falls out of daily work rather than audit-time effort.