Davra provides a cloud‑native Industrial IoT platform that connects any sensor or gateway, aggregates data, and delivers built‑in AI models for anomaly detection, predictive maintenance and digital‑twin simulations. Its low‑code application builder, edge processing, and enterprise‑grade security let OEMs and operators deploy condition‑monitoring and service applications across public, private or on‑premise environments with minimal integration effort.
Funding
Funding not disclosed
ESFounders
Product
Problem
Industrial equipment manufacturers and operators often face fragmented, costly, and time‑consuming IoT projects. Integrating diverse sensors, ensuring secure data pipelines, and building predictive analytics require specialized expertise and large upfront investments, which delays digital transformation and limits the ability to deliver condition‑based monitoring, asset tracking, and predictive maintenance at scale.
Solution
Davra offers an AI‑enabled Industrial IoT (IIoT) platform that abstracts device connectivity, data management, and analytics into a unified, cloud‑native stack. The platform supports any sensor, protocol, or vendor, allowing manufacturers to onboard assets quickly and securely. Built‑in industrial AI models provide anomaly detection, predictive‑maintenance templates, and digital‑twin representations, turning raw telemetry into actionable insights. A drag‑and‑drop application builder, low‑code SDKs, and extensive APIs let developers create custom monitoring and service applications without deep IoT expertise. Security and compliance controls—including role‑based access, audit logging, and ISO‑27001‑aligned certifications—ensure data integrity across on‑premise, private‑cloud, or public‑cloud deployments, accelerating time‑to‑value from months to weeks.
Target Audience
Primary customers are OEMs and equipment manufacturers in industrial machinery, mining, and transport & logistics sectors that need scalable condition monitoring, predictive maintenance, and aftermarket service platforms.
Features
- Protocol‑agnostic device management that connects any sensor or gateway (LPWAN, Wi‑Fi, cellular, satellite) with automatic provisioning.
- Edge computing layer for local preprocessing, rule execution, and AI inference to reduce latency and bandwidth usage.
- Built‑in Industrial AI library offering anomaly detection, predictive‑maintenance model templates, and custom ML model deployment.
- Digital‑twin framework for asset hierarchy, state synchronization, and simulation of “what‑if” scenarios.
- Visual analytics suite with real‑time streaming dashboards, drag‑and‑drop widgets, and a point‑and‑click rules engine for alerts and automated workflows.
- Comprehensive developer portal with REST/GraphQL APIs, SDKs for Java, Python, and JavaScript, and low‑code/no‑code application enablement.
- Enterprise‑grade security: military‑grade encryption, single sign‑on, token‑based authentication, role‑based access control, and full audit trails integrated with SIEM tools.
- Flexible deployment options (public cloud, private cloud, on‑premise) with consistent feature set and automated compliance reporting.