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HeyVoli

HeyVoli provides a unified health-tech infrastructure platform that connects fragmented medical data through a single operational layer for patient records, clinical workflows, and real-time intelligence. The platform offers modular components—CareOS, FlowGrid, SignalNet, TwinMind, and CoreK—that can be deployed individually or as a connected stack. Built on FHIR-native standards and aligned with India's Ayushman Bharat Digital Mission, it enables secure, consent-driven data sharing across clinics, hospitals, laboratories, and public health systems.

Traction 8/10
Bangalore, India · HQ
Founded 20231300+ followers
  • Healthcare Technology
  • Digital Health
  • Artificial Intelligence
  • Software Only
  • Data & Analytics
Updated 13 days ago

Funding

Raised to date

$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 1 round

$500K · Pre-Seed

Announced Oct 2026 · from article date

Disclosed cumulative: $500K

Founders

Founder details are not available yet.

Product

Problem

Healthcare systems operate in silos, with disconnected records, delayed data access, and limited interoperability across providers. Up to 70% of healthcare providers still rely on manual or paper records, which hampers real-time decision-making and creates fragmented patient care.

Solution

HeyVoli provides a unified health-tech infrastructure platform that bridges fragmented medical data through a single operational layer for patient records, clinical workflows, and real-time intelligence. The platform automates data ingestion, standardizes health records, and structures information into digital pipelines so healthcare teams can access patient data instantly across endpoints. It offers modular components—CareOS for clinical workflows, FlowGrid for operations and supply chains, SignalNet for device and diagnostic integration, TwinMind for AI-driven insights, and CoreK for data foundation—that can be deployed individually or as a connected stack. The system is built on FHIR-native data standards and is fully aligned with India's Ayushman Bharat Digital Mission (ABDM), ensuring secure, consent-driven data sharing and regulatory compliance.

Target Audience

Primary customers are clinics, hospitals, laboratories, and public health systems that need to digitize workflows, integrate fragmented data sources, and gain real-time operational intelligence.

Features

  • Multi-source data ingestion with continuous data pipelines for structured health records
  • FHIR-native, HIR-compliant APIs enabling system-to-system exchange and standardized data access
  • Real-time signal capture across devices, diagnostics, and environments through SignalNet
  • AI-driven predictive insights and digital twin simulations for outcome forecasting via TwinMind
  • Modular deployment allowing healthcare facilities to start with a single use case and expand across departments without disrupting existing operations
  • Open interoperability through secure, system-level APIs to connect lab equipment, third-party software, and departmental tools
  • Population health intelligence layer for risk identification, demand forecasting, and resource coordination across networks
This profile is AI-generated and may contain inaccuracies.