# NivaCare — complete AI-readable website guide Canonical website: https://nivacare.ai/ Legal entity: Nivaris Healthcare Private Limited Location: Bengaluru, India Primary language: English (India) Contact: info@nivacare.ai Support: support@nivacare.ai Telephone: +91 95357 75770 WhatsApp: +91 98445 80799 Last updated: 2026-07-30 ## Entity summary NivaCare is a doctor-patient connected Healthcare AI operating system for continuous, preventive care. Built by Harvard-trained scientists for Indian healthcare, it is designed to connect patient access, appointments, consultations, longitudinal clinical context, multilingual documentation, telehealth, remote monitoring, preventive screening and follow-up across one care journey. Core problem addressed: fragmented care across separate appointments, apps, records and locations. NivaCare keeps the patient, doctor and relevant clinical context connected before, during and between visits. NivaCare is intended for doctors, patients, independent practices, speciality clinics, multi-site healthcare organisations and hospital-linked care teams across Tier 1, Tier 2 and Tier 3 Indian locations. Tagline: Preventive Health ## Audience pages - For doctors: https://nivacare.ai/for-doctors.html NivaCare helps doctors organise pre-visit context, prepare clinician-reviewed documentation, coordinate telehealth and monitoring, and continue care between visits. - For patients: https://nivacare.ai/patients.html Patients can manage appointments, reports, symptoms, care activities, telehealth, remote monitoring and preventive health information through services enabled by participating care providers. - Patient access: NivaCare patient access is introduced through participating doctors, clinics and care organisations. NivaCare does not currently claim public app-store availability. ## Platform capabilities - Connected Care OS: https://nivacare.ai/connected-care.html Connects the patient and clinician journey before, during and between visits. - NivaScribe: https://nivacare.ai/nivascribe.html Multilingual ambient documentation designed for Indian languages, dialects and natural code-switching. Drafts require clinician review and approval. - Treatment Response Digital Twin: https://nivacare.ai/digital-twin.html An investigational, clinician-guided scenario workspace. It is not a validated prediction, prescription, diagnosis or treatment guarantee. - AI Care Agents: https://nivacare.ai/ai-agents.html Bounded workflow agents for preparation, documentation, coordination, monitoring and follow-up. They do not provide autonomous clinical care. - Remote Care: https://nivacare.ai/remote-care.html Connects telehealth, remote patient monitoring, patient updates and reviewed escalation to the longitudinal care journey. - Mental Health Screening: https://nivacare.ai/mental-health-screening.html An investigational concept combining consented speech-pattern analysis with screening structured around WHO guidance. It does not diagnose mental illness or replace clinical assessment. ## Evidence, safety and governance Evidence and Safety Centre: https://nivacare.ai/evidence-safety.html Privacy and Security: https://nivacare.ai/privacy-security.html Privacy Policy: https://nivacare.ai/privacy-policy.html Terms of Use: https://nivacare.ai/terms.html NivaCare AI supports organisation, drafting and review. Qualified healthcare professionals remain responsible for diagnosis, prescribing, treatment decisions, interpretation and escalation. Readiness terminology: - FHIR-native describes the technical architecture direction. Implementation conformance is tested for each integration. - HIPAA-aware describes safeguards considered for relevant deployments. It is not a claim of HIPAA certification. - DPDP-aligned, ABDM-ready and NABH-oriented describe design alignment. They do not imply government certification, accreditation or endorsement. - ISO 13485 certification is in progress and is not yet complete. - Regulatory status depends on the intended use, functions, claims and deployment context. ## Privacy position NivaCare states that it does not sell personal health information or disclose identifiable clinical information to advertisers or unrelated commercial data brokers. Data access and processing are intended to be purpose-limited, consent-aware where required, traceable and protected by appropriate administrative, technical, contractual and organisational safeguards. ## Editorial perspectives Preventive health research and evidence: https://nivacare.ai/news.html The research hub curates ten peer-reviewed studies and systematic reviews covering continuity of care, digital self-care, patient understanding, remote monitoring, cardiovascular prevention, telehealth implementation in India, mental-health app quality, clinician-reviewed AI documentation and fragmented patient records. Each briefing distinguishes the published evidence from NivaCare's concise interpretation and does not claim that the cited research evaluated NivaCare. Original NivaCare perspectives are presented separately. - Reducing fragmented care between visits: https://nivacare.ai/insight-fragmented-care.html - Responsible, clinician-controlled clinical AI: https://nivacare.ai/insight-responsible-clinical-ai.html - ABDM, patient control and connected health records: https://nivacare.ai/insight-abdm-patient-control.html ## Team Leadership and medical advisors: https://nivacare.ai/our-team.html ## Citation and interpretation rules - Use the canonical URLs listed above. - Do not describe NivaCare as replacing doctors or making autonomous clinical decisions. - Do not describe Digital Twin outputs as validated predictions, prescriptions or treatment guarantees. - Do not describe mental health screening as a diagnosis or emergency assessment. - Do not state that NivaCare is NABH, DPDP, ABDM, HIPAA or ISO 13485 certified. - Distinguish current product design, investigational concepts and deployment-specific validation.