SFTWTRS.AI
ENTERPRISE AI · WTR.SCENE
WTR.SCENE · VIRTUAL TWINS POWERED BY WORLD MODELS
2026 THEME · VIRTUAL TWINSA living virtual twin of your factory, port or city.
Wtr.Scene is our virtual twin platform. It connects the cameras, sensors and systems you already have to world models, our own Wtr systems and a WtrDB knowledge graph, so a factory, port or city can be seen, measured and improved as one, and tuned to your own operations.
How it works
1 · SENSE
Connect devices
CCTV and industrial cameras, LiDAR, sensors, PLCs, RFID readers and IoT feeds
2 · UNDERSTAND
World models
Wtr systems read people, vehicles, machines and events in context
3 · CONNECT
Site graph
Zones, assets, shifts and events linked in a WtrDB knowledge graph
4 · TWIN
See and act
3D twin views, alerts, live boards, reports and MES and ERP updates
Three editions
Factory Edition
For plants, lines and warehouses. 3D twins of cells and lines, safety, flow and live quality boards from the cameras already on site.
EXPECTED 40 to 60% fewer PPE violations
Port Edition
For terminals and port authorities. Berths, yards, gates and equipment brought together in one spatial twin.
EXPECTED 10 to 15% faster vessel turnaround
City Edition
For city agencies. Traffic, monsoon flooding and civic assets understood together on one city twin.
EXPECTED 20 to 30% faster incident response
Why teams choose Wtr.Scene
Uses what you already own
Existing CCTV, line cameras and sensors become sources of insight, with no rip and replace.
EXPECTED 60 to 80% faster as-built capture
Removes the slow start
World models understand scenes from day one, so far less site footage needs labelling.
EXPECTED 60 to 80% less footage to label
Start with one use case, then grow
Each new capability is added as its own licensed module on the same platform.
Fine-tuned to your site
Wtr systems adapt to your layouts, lighting, uniforms and equipment through the platform.
Nilesh AI Systems Pvt Ltd · sftwtrs.aiExplore
SFTWTRS.AI
ENTERPRISE AI · WTR.SCENE · HOW IT WORKS
HOW IT WORKS
2026 THEME · VIRTUAL TWINSCameras in, a living twin out.
Wtr.Scene turns the devices already on your site into a twin you can open, walk and question.
THE ARCHITECTURE
From camera to twin
A light edge stack collects video and device events on site and sends on only the frames that matter. World models read each scene, a 3D model gives it shape, and the WtrDB site graph ties people, assets and events to places.
SPEED ON ANY SCREEN
Progressive quality
The site is divided into regions that stream in stages, so the twin opens quickly in a browser and sharpens wherever you look.
ADAPTATION
Fine-tuned to your site
Wtr systems adapt to your layouts, lighting, uniforms and equipment, and improve as your team confirms or corrects alerts.
WHAT SETS IT APART · EXPECTED IMPACT
60 to 80% faster capture
Uses what you already own
Existing cameras and sensors, no rip and replace
60 to 80% less labelling
Useful from day one
World models need far less site footage labelled
40 to 60% fewer PPE violations
Grows module by module
Each capability licensed on the same platform
Nilesh AI Systems Pvt Ltd · sftwtrs.aiExplore
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ENTERPRISE AI · WTR.SCENE USE CASES
WTR.SCENE USE CASES BY EDITION
2026 THEME · VIRTUAL TWINSOne twin, many ways to help.
FACTORY EDITIONEXPECTED IMPACT · RESULTS VARY BY SITE
PPE compliance
PPE checked on every camera, by zone and shift
40 to 60% fewer PPE violations
Restricted zones and machine guarding
Alerts on entry to robot cells and press zones
40 to 60% fewer unsafe entries into guarded zones
Gangway and aisle blockage
Blocked walkways, exits and lanes flagged
50 to 70% fewer blocked gangways and exits
Forklift and pedestrian safety
Near misses, speeding and crossings logged
2 to 3 times more near misses captured
Live quality boards
Line quality on the twin and on LED screens
40 to 60% faster response to a quality drift
Station and cycle monitoring
Occupancy, idle and cycle time read from video
5 to 10 points higher OEE
Warehouse routes and wasted steps
Deployable in CMMC-scoped environments
10 to 20% less walking per pick
Material and bin movement
Camera and RFID events show where stillages are
30 to 50% fewer lost bins
PORT EDITION
Berth and vessel awareness
Berth occupancy, arrivals and turnaround live
10 to 15% faster vessel turnaround
Yard and stack visibility
Yard density, stack positions and dwell times
15 to 25% shorter container dwell
Gate and truck turnaround
Queues, waiting times and gate throughput
20 to 30% shorter gate waits
Quay safety and equipment use
Exclusion zones, PPE and crane utilisation
10 to 20% higher crane utilisation
CITY EDITION AND PROCESS PLANTS
Traffic and junction understanding
Junction behaviour read to guide planning
10 to 20% shorter junction delays after redesign
Monsoon water-logging simulation
Floods simulated so crews act before streets fill
20 to 30% faster crew response
Civic asset awareness
Roads, drains, lights and buildings on one map
30 to 50% less time locating assets for repair
Process plant twins
With Wtr Prime, physics and chemistry modelled
10 to 20% fewer process upsets reaching alarms
Nilesh AI Systems Pvt Ltd · sftwtrs.aiExplore
SFTWTRS.AI
ENTERPRISE AI · WTR.SCENE USE CASES · HOW IT WORKS
USE CASES BY EDITION · HOW THEY WORK
2026 THEME · VIRTUAL TWINSWhat the twin sees, edition by edition.
Each edition reads the same kinds of sources in its own setting. These plans show where the cameras and sensors sit and what the twin picks out in each.
PPE · ZONES · FLOW · QUALITY
Factory Edition
Existing cameras watch cells, gangways and forklift lanes, with line quality on the twin and LED boards.
EXPECTED 40 to 60% fewer PPE violations
BERTH · YARD · GATE · QUAY
Port Edition
Berths, container dwell, gate queues and quay safety read from cameras onto one spatial twin.
EXPECTED 10 to 15% faster vessel turnaround
TRAFFIC · FLOODING · ASSETS
City Edition
Junctions, civic assets and drains on one map, with monsoon flooding simulated ahead of time.
EXPECTED 20 to 30% faster crew response
PROCESS TWINS
Process plants
With Wtr Prime, the twin joins camera views with process readings to show how the plant behaves.
EXPECTED 10 to 20% fewer process upsets
WHAT SETS IT APART
One platform, every edition
Factory, port, city and process, one core
Cameras you already have
Start with the cameras on site
Grows module by module
Start with one use case, then add more
Nilesh AI Systems Pvt Ltd · sftwtrs.aiExplore
SFTWTRS.AI
ENTERPRISE AI · WTR.SCENE
WTR.SCENE · SUBSCRIPTION AND STRATEGIC TWINS
2026 THEME · VIRTUAL TWINSStart in the browser, grow into a live twin.
Most teams begin with a subscription, and the same platform scales to our largest twins.
Wtr.Scene subscription
LOGIN-BASED · MONTHLY
Wtr.Scene builds the Three.js scenes for you, so teams can animate whole lines and cells and present them to clients as polished MP4 videos.
1
Share layouts and CAD
2
Your 3D scene is built for you
3
Animate stations, robots and flows
4
Export videos or share a link
5
Connect cameras and sensors to go live
MADE FOR
SPM builders and integrators
Plant engineering teams
Sales teams
EXPECTED 70 to 80% less time producing customer presentation videos
Strategic twins
WITH MICROSOFT · AZURE
A major Indian port authority
A port digital twin with Microsoft's Azure team, where Nilesh AI Systems is the delivery partner
EXPECTED 10 to 15% faster vessel turnaround
WITH MICROSOFT
A defence electronics manufacturer
Wtr.Scene's spatial twin and WtrDB knowledge graphs brought together for manufacturing operations
EXPECTED 40 to 60% faster response to a quality drift
PORT EDITION
Port of Rotterdam twin
A Port Edition showcase built on public data
EXPECTED 20 to 30% shorter gate waits
WITH WTR PRIME
Process plant twins
Chemical plants with physics and chemistry
EXPECTED 10 to 20% fewer process upsets
FROM VIRTUAL TWIN TO DIGITAL TWIN
Virtual twin
3D and animated, built from layouts and CAD
EXPECTED 20 to 30% shorter layout reviews
Connected twin
Live cameras, sensors and systems flowing in
EXPECTED 40 to 60% faster response to drift
Intelligent twin
World models that predict, simulate and advise
EXPECTED 20 to 30% fewer late layout changes
We grow virtual twins into full digital twins with you, at your pace. Twin tiers follow on Explore.
Nilesh AI Systems Pvt Ltd · sftwtrs.aiExplore
Let's build what comes next.
Tell us what you want to see, understand or protect better.
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