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Patent 202541085700 A · BBMP field-endorsed · Bengaluru

Clean water,
on autopilot.

India has 69,485 urban water bodies and almost no way to keep them clean. SCRUB deploys solar robots that skim the waste, read the water, and stream the proof — every single day.

See the fleet →Partner with usLive at Kengeri Lake

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✳PATENT 202541085700 A · PUBLISHED✳TRL 4 · FIELD VALIDATED✳BBMP · KENGERI LAKE✳90% AI DEBRIS PRECISION✳RVCE INCUBATED✳ZERO EMISSIONS✳PATENT 202541085700 A · PUBLISHED✳TRL 4 · FIELD VALIDATED✳BBMP · KENGERI LAKE✳90% AI DEBRIS PRECISION✳RVCE INCUBATED✳ZERO EMISSIONS✳PATENT 202541085700 A · PUBLISHED✳TRL 4 · FIELD VALIDATED✳BBMP · KENGERI LAKE✳90% AI DEBRIS PRECISION✳RVCE INCUBATED✳ZERO EMISSIONS✳PATENT 202541085700 A · PUBLISHED✳TRL 4 · FIELD VALIDATED✳BBMP · KENGERI LAKE✳90% AI DEBRIS PRECISION✳RVCE INCUBATED✳ZERO EMISSIONS

robot variants across water body types

₹0Cr+

annual government spend on lake remediation

urban water bodies in India

The problem

India's urban water bodies are in crisis.

India has 2.4 million water bodies — yet 16.3% are non-functional due to pollution and encroachment, and 45.2% have never been repaired or maintained. The 69,485 urban water bodies face the sharpest pressure.

Current remediation relies on manual labour: slow, hazardous, seasonal, and producing no usable data on water health. Municipal bodies have no continuous, scalable or autonomous alternative.

The National Green Tribunal has issued hundreds of orders against civic bodies for lake pollution. BBMP faces court-ordered deadlines for water quality compliance — demand for an autonomous solution is no longer optional.

Urban water bodies non-functional16.3%

Water bodies never repaired or maintained45.2%

Surface water unfit for consumption70%

Bengaluru lake area lost since 197080%

Cities at risk of groundwater exhaustion21 major

Source: NITI Aayog · National Water Bodies Census · KSPCB 2024 · NGT orders

Product lineup

Four platforms. One ecosystem.

Every SCRUB product is designed for a specific water body type and deployment scenario — from still urban lakes to fast-flowing rivers. They operate independently or as a coordinated fleet.

Developed & field-validatedV1

Lake Cleaning Platform

A semi-industrial floating catamaran that removes floating plastic, organic debris, and aquatic weeds from urban lakes and reservoirs. The flagship — field-tested, patent-published.

Twin-hull catamaran · maximum stability
Continuous conveyor · 50 kg+ per cycle target
Solar-assisted · 9.9 h autonomous runtime
YOLOv8 AI debris detection · 90%+ precision

Developed & validatedV2

Passive Intake Robot

A conveyor-less design that uses hydrodynamics to collect waste — no actuators, no motors for intake. Forward motion opens the door; reversing closes it.

Zero intake power consumption
Minimal moving parts · low maintenance
Lightweight · easily transportable
Scalable foundation for autonomous fleets

V3In development

River Waste Interceptor

A static shore installation for rivers and canals. Anchored at pollution chokepoints, a floating boom funnels waste into an inclined conveyor — delivering debris directly to the riverbank.

Static installation · no boat required
100% solar powered · continuous operation
Floating boom guides waste to intake
Modular · scalable across pollution hotspots

V4In development

Water Analytics Bot

A compact, agile floating bot carrying a fully customisable sensor payload. Patrols in systematic patterns, collecting high-density spatial data and streaming it live to a cloud dashboard.

20+ sensor payload · pH, DO, TDS, turbidity & more
Real-time transmission · cloud dashboard
Accesses shallow & confined zones
Standalone or paired with the V1–V3 fleet

Doomscroll, but it's actually useful

no cap · certified

POV

you throw a chips packet in the lake

our robot: 'noted. logged. GPS tagged. 📍'

NOBODY:

absolutely nobody:

the lake at 4am: *bubbling ominously*

IT'S GIVING

solar powered. zero diesel.

it's giving main character energy 🌞

REAL ONES KNOW

your city has ~1,200 water bodies

you can name… two? be so fr rn

0.0 m

0.3 m

1.0 m

2.5 m

Dive — depth 0.0 m

Surface

Floating plastic, thermocol, water hyacinth. The conveyor mouth swallows a 1.2 m wide lane at 0.6 m/s.

live readout

Lane width

1.2 m

Sweep speed

0.6 m/s

Intake

passive

Kengeri Lake · 12.9081°N 77.4855°E

TOUCH GRASS, CLEAN WATER69,485 LAKESSOLAR POWEREDNO DIVERS. NO NETS.PATENT FILEDMADE IN BENGALURU90% PRECISIONSTOP DOOMSCROLLING

vibe check

How's the water near you?

…

Model it yourself

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Robots deployed4

Hours on water / day7

Modelled on Kengeri Lake field trials: ~38 kg of debris recovered per robot-hour, 300 operating days a year.

1,064 kg

debris recovered every day

319.2 t

recovered per year

25×

manual crews replaced from hazardous water work

670 t

CO₂e avoided vs diesel skimmer fleets

The build

What's proven. What's next.

Validated

Sep 2024

Design Initiated

Engineering design begins, targeting Bengaluru's urban lake pollution crisis.

Jan 2025

Prototype V1 — Pool Trial

Conveyor mechanism validated. Onboard AI debris detection confirmed functional.

TRL 3

Sep 2025

Patent Filed

Application filed with the Indian Patent Office — navigation, conveyor and IoT monitoring as one system.

Filed

Oct 2025

Patent Published

Indian Patent Office publishes the application.

Published

Apr 2026

Kengeri Lake Trial

Autonomous run with BBMP coordination. 20+ hours of cumulative field testing.

TRL 4

In motion

Jun 2026

Commercial Prototype · Field Trial 2

Custom PCB v2 in fabrication alongside a redesigned 3D-printed chassis. Second Kengeri trial underway.

In fabrication

Roadmap

+12 Months

Municipal Pilot Deployments

Pilots with municipalities, alongside the launch of V2, V3 and V4 with early commercial customers.

+2 Years

Fleet Operations, Multi-City

Coordinated fleet deployments across Indian cities, unified under one monitoring dashboard.

+5 Years

Beyond the Surface

Underwater inspection, desilting, and a nationwide environmental data infrastructure layer.

The team

Built by engineers. Deployed on water.

A multidisciplinary team from RV College of Engineering, Bengaluru — spanning AI, embedded systems, IoT, hardware and mechanical design. 17 people, one lake at a time.