Industrial facility with CNC machinery, electrical switchgear and a commercial vehicle at a loading bay
Specialized Industrial Intelligence Platforms

Industrial Intelligence
Starts Here.

Jugno.ai connects the physical industrial world to intelligent operational decisions — hardware at the asset, connectivity at the edge, and platforms that turn machine, vehicle and utility data into action.

  • Asset
  • →Edge
  • →Cloud
  • →Intelligence
  • →Action
app.jugno.ai

Active

128

Idle

14

Alerts

3

Avg SOC

72%

Route · Depot → Site

Vehicle health

Battery packNormal
Motor tempNormal
Brake wearWatch
ControllerNormal

Illustrative interface. Values shown are examples, not measured data.

Hardware, edge, cloud and intelligence from one engineering team

  • Industrial hardware
  • Edge connectivity
  • Cloud platform
  • Industrial data model
  • Analytics & AI
  • OEM white-label
  • Operational applications
Our Platforms

Specialized Industrial Intelligence Platforms

Jugno.ai develops independent platforms. Each has its own cloud platform, mobile application, dashboards, APIs, users and deployment.

Electric commercial delivery truck connected to a charger at an industrial yard
Jugno Pulse®

Jugno Pulse®

Connected Mobility Intelligence

Vehicle data from CAN, J1939 and OBD interfaces, combined with location and battery behaviour, delivered to OEMs, dealers and fleet teams as a white-label platform and mobile application.

app.jugno.ai

Active

128

Idle

14

Alerts

3

Avg SOC

72%

Route · Depot → Site

Vehicle health

Battery packNormal
Motor tempNormal
Brake wearWatch
ControllerNormal

Illustrative interface. Values shown are examples, not measured data.

01

Connected vehicle

CAN, J1939, OBD and GPS at the vehicle

02

Data

Trips, usage, battery and fault codes

03

Intelligence

Behaviour baselines and deviation detection

04

Diagnosis

Remote fault context before dispatch

05

Service action

Dealer and service workflows, spare planning

06

Customer value

Uptime, warranty insight, after-sales services

Industrial diesel generator and air compressor installed in a plant utility room
Jugno Echo®

Jugno Echo®

Industrial Equipment Intelligence

Generators, compressors, chillers, pumps and production machines connected through Modbus, RS485 and PLC interfaces — with equipment health, operating patterns and service intelligence across the installed base.

app.jugno.ai

Running

42

Load

72%

Runtime

1,284h

Open alarms

2

Vibration trend

Deviation from baseline since 06:00

Equipment states

Illustrative interface. Values shown are examples, not measured data.

01

Connected equipment

Controllers, PLCs and sensors on the asset

02

Data

Load, temperature, vibration, runtime, energy

03

Intelligence

Operating patterns and anomaly detection

04

Diagnosis

Probable cause with supporting evidence

05

Service action

Work order, AMC and spare-part planning

06

Customer value

Availability, lifecycle and product intelligence

Electrical distribution panels and energy meters in a modern building services room
Jugno Core®

Jugno Core®

Energy & Infrastructure Intelligence

Panel-level energy, HVAC, DG, water, gas and power quality across buildings, warehouses, plants and data centres — monitored, explained and optimised from one operational view.

app.jugno.ai

Today

8,421kWh

Peak demand

612kVA

Power factor

0.96

DG

Standby

Consumption by hour

HVAC · Utilities · Process

HVAC

Normal

Water

Normal

Power quality

Watch

Illustrative interface. Values shown are examples, not measured data.

01

Monitor

Grid, panel, load, HVAC, DG, water and gas

02

Understand

Consumption in the context of operations

03

Detect anomaly

Deviation from established patterns

04

Identify pattern

Which system and period drove the change

05

Recommend

Operational corrections worth reviewing

06

Optimise

Lower cost per unit and better utility performance

Technical Architecture

From Industrial Assets to Intelligence

The same engineered path in every deployment — from the signal on the asset to the decision in an operator's hands.

  1. Assets

    Vehicles, machines, meters and building systems already on site.

    • Vehicles
    • Machines
    • Meters
    • Sensors
    • Controllers
  2. Connect

    Protocol-native acquisition from existing control equipment.

    • CAN
    • J1939
    • Modbus
    • RS485
    • BACnet
    • OBD
    • MQTT
  3. Edge

    Local processing, buffering and secure transmission.

    • Jugno Edge
    • Buffering
    • Translation
  4. Cloud

    Asset context, history and a consistent operational data model.

    • Data
    • Asset context
    • Analytics
  5. Intelligence

    Baselines, anomalies and recommendations against your own operations.

    • Anomaly detection
    • Patterns
    • Predictive insight
  6. Action

    Decisions reaching the people and systems that act on them.

    • Dashboards
    • Mobile
    • Alerts
    • APIs
    • Service
Intelligence

How data becomes an operational decision

Intelligence is only useful when it can be explained. Every insight carries the observation, the comparison and the recommended action behind it.

Intelligence trace

Illustrative

Why did energy consumption increase yesterday?

Consumption rose outside the expected operating pattern for this facility.

  1. Historical pattern

    Weekday baseline of roughly 7,100 kWh

  2. Current pattern

    8,421 kWh, concentrated between 14:00 and 17:00

  3. Deviation

    Largest variance associated with HVAC load

  4. Possible cause

    Extended cooling with no matching occupancy change

Recommended action

Review HVAC scheduling and setpoints for the afternoon block, then confirm against the next operating day.

Intelligence trace

Illustrative

Which machine is behaving differently?

Abnormal operating pattern detected on a compressor within the installed base.

  1. Signal detected

    Vibration trending above its own baseline since 06:00

  2. Pattern analysis

    Rise correlates with load cycling, not ambient conditions

  3. Anomaly identified

    Deviation sustained across consecutive run cycles

  4. Possible cause

    Mechanical wear or mounting condition worth inspection

Recommended action

Schedule an inspection at the next planned stoppage and capture readings before and after.

Ask your industrial data

Concept — capability in development
Why did energy consumption increase yesterday?
Consumption increased primarily during the 14:00–17:00 period. The largest deviation was associated with HVAC load. Reviewing equipment schedules and operating patterns for that window may help identify the cause.

Period

14:00–17:00

Deviation

+1,321 kWh

Largest driver

HVAC

Ask your industrial data

A conversational layer over your own operational history — designed so that an answer always shows the data behind it. This is shown as an intelligence concept; it is a capability in development, not a deployed feature.

  • Why did consumption increase?
  • Which machine is behaving differently?
  • Which vehicle needs attention?
  • What changed from normal operation?
Hardware + Software

Built From the Asset to the Application

Jugno designs the edge hardware and the platform above it, so responsibility for the data path sits with one team.

Industrial IoT edge gateway mounted on DIN rail inside a control cabinet

Jugno Edge

Industrial gateways sit alongside existing controllers and meters, read the interfaces the equipment already exposes, and keep data intact when connectivity drops. No rip-and-replace of your control layer.

  • CAN
  • J1939
  • OBD-II
  • Modbus RTU/TCP
  • RS485
  • BACnet
  • MQTT
  • Ethernet

Protocols are supported where the asset and deployment allow; coverage varies by platform and installation.

Signals into a single structure

  1. 1

    Enterprise

    Group-level view across every connected operation

  2. 2

    Site

    Plant, depot, warehouse or building

  3. 3

    Area

    Line, floor, feeder or zone

  4. 4

    Asset

    Machine, vehicle, DG set, chiller or panel

  5. 5

    Device

    Edge gateway, controller or meter

  6. 6

    Data point

    Load, temperature, vibration, energy, position

Large fleets stay understandable

Every connected asset is modelled in one hierarchy, so a group view, a single site and one data point all describe the same operation. Device management, alerts, reports and APIs follow that structure.

  • Device management
  • Asset management
  • Dashboards
  • Alerts
  • Reports
  • APIs
Robotic arms welding a vehicle body on an automotive assembly line
Industries

Built for the operations that cannot stop

Manufacturing plants, vehicle and equipment OEMs, warehouses, commercial buildings and critical facilities — the environments where a stoppage is measured in money.

Automotive & EV

Manufacturing

Warehousing & Logistics

Commercial Buildings

Construction Equipment

Data Centres

Fleet Operations

Public Infrastructure

Why Jugno.ai

A partner accountable from sensor to decision

Industrial Expertise

Built by engineers who have commissioned plants, depots and building systems.

Hardware + Software

Our own edge gateways paired with the platform — one accountable partner.

OEM Ready

White-label platforms and OEM-branded applications for vehicle and equipment makers.

Open Integration

Open APIs and connectors into ERP, CMMS, SCADA and BI systems.

Scalable Architecture

One site or two hundred, on the same data model and hierarchy.

Staged Deployment

Pilot on a defined set of assets, then extend site by site without downtime.

Built in India

Designed for Indian industrial conditions while supporting global deployments.

Protocol-Native

Reads the interfaces your equipment already exposes, where supported.

Explainable Insight

Every recommendation shows the data and comparison behind it.

Business Outcomes

Results your leadership team can measure

Industrial control room with a wall of operational monitoring screens

Reduce Downtime

Identify failure patterns early and protect production availability.

Improve Asset Utilisation

Measure true utilisation across vehicles, machines and equipment.

Optimise Energy Use

Track consumption against verified baselines and reduce cost per unit.

Increase Operational Visibility

One consolidated view across every site, plant and connected asset.

Plan Maintenance by Condition

Move from fixed calendars to asset condition and usage.

Accelerate Decisions

Give leadership verified operational data at the moment it matters.

FAQ

Common enterprise questions

Jugno.ai connects industrial assets — vehicles, machines, meters and building systems — to a platform that turns their data into operational decisions. We supply the edge hardware, the connectivity, the cloud platform and the analytics above it.

No. They are independent platforms with their own cloud environments, mobile applications, users and deployments. They are chosen by the type of asset you operate, not as tiers of one product.

Depending on the platform and the asset, Jugno can work with CAN, J1939, OBD-II, Modbus RTU/TCP, RS485, BACnet, MQTT, REST and Ethernet interfaces. Coverage is confirmed per deployment against the equipment on site.

Cloud, on-premise and hybrid deployments can be supported depending on the platform and project requirements. The deployment model is agreed during the technical review.

Usually not. Jugno Edge reads the interfaces your controllers, meters and vehicle buses already expose. Additional sensors are added only where a required measurement does not exist.

Data is transmitted over encrypted channels, access is role-based, activity is recorded through audit trails, and integrations use secured APIs. Data ownership stays with the customer.

Customers

Trusted by Industry Leaders

Teams across mobility, industrial and infrastructure operations build on Jugno.ai to connect, monitor and optimize their assets.

  • Amber
  • Blinkit
  • BookMyShow
  • Deltic
  • DLF
  • HTL
  • Hybon
  • Lohia
  • Spinny
  • Zomato Hyperpure
  • Amber
  • Blinkit
  • BookMyShow
  • Deltic
  • DLF
  • HTL
  • Hybon
  • Lohia
  • Spinny
  • Zomato Hyperpure

Ready to Modernize Your Operations?

Tell us what you are trying to monitor, connect, predict or optimise — and we will map it to the right platform.