Digital Twin Platform
Metra creates high-fidelity digital replicas of physical systems — enabling real-time simulation, predictive analytics, and intelligent operations at any scale.
Platform Overview
A digital twin is a dynamic, real-time virtual representation of a physical system — updated continuously from live sensor data. Metra makes building, running, and reasoning over digital twins effortless.
Metra ingests live telemetry from sensors, IoT devices, and enterprise systems — keeping your digital twin updated with sub-millisecond fidelity.
Simulate future states and failure modes before they occur. Our physics-informed ML models generate accurate forecasts from historical and live data.
Interactive 3D dashboards and spatial visualizations give operators a unified view of complex multi-system environments in real time.
Capabilities
Compose digital twins across thermal, mechanical, electrical, and software domains. Metra's graph-based model handles cross-domain coupling automatically, surfacing emergent behaviors invisible to single-domain tools.
Continuous drift monitoring compares real-world telemetry against expected twin behavior, flagging deviations before they become incidents. Configurable alert routing and automated runbooks keep response times minimal.
Branch any twin state and run parallel simulations — test design changes, stress scenarios, or operational procedures risk-free before deploying to production systems.
First-class REST and gRPC APIs, language SDKs, and a rich plugin ecosystem let you embed Metra into any existing workflow — from SCADA systems to cloud-native data pipelines.
The Team
A small, focused team with deep expertise in systems engineering, machine learning, and distributed infrastructure.
Product Lead
Backend Lead
Frontend Lead
UI/UX Lead
Early Access
Join the waitlist for early access to the Metra platform. We're onboarding a select group of design partners now.
No spam. Unsubscribe at any time.