Indigenous. Edge-native. Mission-ready.

From sensing to
intelligent decisions.

AI-powered diagnostics and Dynamic Maintenance for mission-critical defence, marine and industrial equipment—designed for sparse data, disconnected operations and trusted decisions at the edge.

Edge-nativeCyber-secureExplainable AISparse-data ready
EDGE NODE 01
LIVE ANALYSIS
ASSETAuxiliary Pump A-02
ACTION
63/ 100
COMPONENT HEALTHRoot cause identified

Confidence-weighted equipment state

Discharge pressure3.5 bar
Vibration RMS4.1 mm/s
EXPLAINABLE DIAGNOSISEngineering + AI reasoning active
›

Illustrative system view

Real-timeOn-device diagnostics
OfflineNo cloud dependency
ExplainableRoot cause to action
ScalableEquipment to fleet

The platform

One intelligence layer.
Every maintenance decision.

EdgeNative converts fragmented machinery signals into structured, explainable intelligence—without relying on continuous connectivity or large failure datasets.

INPUT

Equipment signals

  • IAS / controller data
  • Vibration & rotodynamics
  • Additional condition sensors
Data fusion
EDGE INTELLIGENCE
AI

Hybrid Engineering + AI

Temporal state analysis, engineering physics and structured AI-ready data.

Reasoning
OUTPUT

Trusted decisions

  • Health & root cause
  • RUL & future risk
  • Prescriptive maintenance

Technology demo

See the technology
at work.

Technology baseline video
TRL 4

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Core capabilities

Diagnostic depth,
delivered at the edge.

Purpose-built for assets where uptime is critical, data is imperfect and every recommendation must be explainable.

Explore a use case
01

Multi-modal diagnostics

Fuses operating parameters, vibration and rotodynamic inputs into a time-aligned equipment state.

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02

Physics-informed intelligence

Applies engineering relationships and probabilistic reasoning to strengthen diagnostic confidence.

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03

Explainable prediction

Translates anomalies into root cause, component health, RUL and actionable maintenance guidance.

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04

Assisted learning

Captures maintainer feedback to improve context, defect classification and fleet-level learning.

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Decision intelligence

See what is happening.
Understand what comes next.

HEALTH INTELLIGENCE

Component and system health

Confidence-weighted health assessment across equipment hierarchy.

8.7/10
EXPLAINABLE DIAGNOSIS

Root cause, not just alarms

Correlates multi-modal evidence to rank probable defects and recommend inspection.

Signal→Evidence→Cause
DYNAMIC MAINTENANCE

RUL and prescriptive action

Moves maintenance from fixed intervals towards condition-led, risk-informed decisions.

RUL

Built for the field

Across critical assets.
Across operating environments.

A modular architecture that can be configured for a standalone asset, integrated platform or connected fleet.

01

Defence

Mission-critical land and maritime assets operating with sparse data and limited connectivity.

02

Marine

Propulsion, auxiliary machinery, pumps, compressors and shipboard support systems.

03

Industry

Condition-monitored equipment where availability, safety and lifecycle cost matter.

ENGINESGENERATORSCOMPRESSORSPUMPSGEARBOXESVEHICLES

EdgeNative AI

Engineering-led.
India-built.
Mission-focused.

We are building an indigenous Dynamic Maintenance platform for the realities of defence, marine and mission-critical industry.

Our multidisciplinary team brings experience across defence technology, marine engineering, AI, embedded diagnostics, product development and programme execution.

120+Years of combined domain experience
IndiaDesigned and developed indigenously
EdgeIntelligence where the equipment operates

Strategic collaboration

Turn your equipment data into
trusted maintenance decisions.

Talk to us about a focused pilot, OEM integration or a platform-level deployment.