Agricultural field with AI monitoring

Nature-Inspired,
AI-Empowered

Intelligent systems bridging natural environments with digital tools

Edge AI camera on farm

Detect. Deter. Adapt.

AI-enabled coexistence for farms, parks, and communities

Team field deployment

From Edge to Cloud

End-to-end R&D in climate, agriculture, and biodiversity

THE FUTURE WE’RE BUILDING

Our Mission

We are an R&D-first venture working at the intersection of climate, agriculture, and biodiversity. Our mission is to design, build, and deploy intelligent systems that bridge natural environments with digital tools — supporting more sustainable, data-driven decisions on the ground. We apply edge AI and nature-inspired algorithms to create responsive, real-time sensing networks for the most challenging outdoor conditions.

  • Design efficient, low-power sensor systems for field deployment
  • Build resilient sensing platforms for farming and ecosystems
  • Deploy scalable edge-to-cloud systems for adaptive field intelligence

"Our vision is to connect nature with digital insight — advancing ecological understanding and climate resilience, wherever it's needed most."

Field deployment with green vegetation
Moisture 62%
Crop Health Good
Temp 24°C
0%
Underground Intelligence
IoT Sensors
for Precision
Agriculture
Real-time soil moisture, temperature & electrical conductivity — at every root zone depth, continuously.
Wildlife Management
Deter &
Coexist
Autonomous solar-powered
camera system that monitors
crop health 24×7
Live Monitoring
Aerial Intelligence
Smart Agriculture
with UAV &
NDVI Mapping
Multispectral Imaging Crop Stress Detection Yield Forecasting
AI CoExist Agriculture AI Urban Farming
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WHAT WE'RE BUILDING

Current Projects

AI CoExistWildlife Detection & Deterrence

NSF SBIR Phase I–funded technology that integrates AI-enabled cameras to detect, classify, and track wildlife species in real time — enabling humane, adaptive coexistence.

AI-enabled Vision Systems Integrates AI cameras to detect, classify, and track deer, raccoons, and other wildlife in real time.
Adaptive Deterrence Engine Edge-based learning activates beamformed acoustic deterrents for species-specific targeting.
Predictive Reinforcement Loop Reinforcement learning optimizes deterrence timing, reducing habituation over time.
Detect–Deter–Adapt Framework Anticipates animal re-entry patterns for adaptive, humane response strategies.
Learn More →

Revolutionizing AgricultureAI-Driven Disaster Response

AI-driven system combining satellite, UAV, and IoT data to detect damage, quantify crop loss, and support recovery planning for agricultural disasters.

Rapid Damage Detection Combines satellite, UAV, and IoT data to identify flood, drought, or storm impacts in near-real-time.
Crop Loss Quantification Vegetation indices and AI yield models estimate biomass reduction and financial loss.
Recovery Planning Ranks priority zones by severity and provides adaptive recommendations for replanting.
Policy & Resilience Support Standardized reports for governments and insurers, plus predictive models from past disasters.
Learn More →

Urban FarmingAI Monitoring System

Multi-scale AI monitoring for urban agriculture — from edge-based real-time analysis to cloud diagnostics and personalized grower support.

Edge-Based Real-Time Monitoring Lightweight CNNs on cameras and sensors for continuous crop and environment analysis.
Cloud-Enabled Diagnostics Multi-spectral analysis, anomaly detection, and forecasting across diverse urban farms.
Agentic AI Support Personalized recommendations for irrigation, nutrient cycles, and harvesting schedules.
End-to-End Traceability & Distribution Providing a verifiable data trail for produce—from seed to harvest—to ensure food safety standards and streamline local "farm-to-table" logistics.
Learn More →
WHAT WE'RE BUILDING

Current Projects

01
AI CoExist

AI CoExistWildlife Detection & Deterrence

NSF SBIR Phase I–funded technology that integrates AI-enabled cameras to detect, classify, and track wildlife species in real time — enabling humane, adaptive coexistence.

AI-enabled Vision SystemsIntegrates AI cameras to detect, classify, and track deer, raccoons, and other wildlife in real time.
Adaptive Deterrence EngineEdge-based learning activates beamformed acoustic deterrents for species-specific targeting.
Predictive Reinforcement LoopReinforcement learning optimizes deterrence timing, reducing habituation over time.
Detect–Deter–Adapt FrameworkAnticipates animal re-entry patterns for adaptive, humane response strategies.
Learn More →
02
Agriculture AI

Revolutionizing AgricultureAI-Driven Disaster Response

AI-driven system combining satellite, UAV, and IoT data to detect damage, quantify crop loss, and support recovery planning for agricultural disasters.

Rapid Damage DetectionCombines satellite, UAV, and IoT data to identify flood, drought, or storm impacts in near-real-time.
Crop Loss QuantificationVegetation indices and AI yield models estimate biomass reduction and financial loss.
Recovery PlanningRanks priority zones by severity and provides adaptive recommendations for replanting.
Policy & Resilience SupportStandardized reports for governments and insurers, plus predictive models from past disasters.
Learn More →
03
Urban Farming

Urban FarmingAI Monitoring System

Multi-scale AI monitoring for urban agriculture — from edge-based real-time analysis to cloud diagnostics and personalized grower support.

Edge-Based Real-Time MonitoringLightweight CNNs on cameras and sensors for continuous crop and environment analysis.
Cloud-Enabled DiagnosticsMulti-spectral analysis, anomaly detection, and forecasting across diverse urban farms.
Agentic AI SupportPersonalized recommendations for irrigation, nutrient cycles, and harvesting schedules.
End-to-End Traceability & DistributionProviding a verifiable data trail for produce—from seed to harvest—to ensure food safety standards and streamline local "farm-to-table" logistics.
Learn More →
HOW WE WORK

End-to-End: Design, Build & Deploy

01
Market Research

Market Research & Product Definition

  • Pain points analysis
  • Market segmentation
  • Requirement engineering
02
IoT Development

Embedded Systems & IoT Development

  • Sensor selection
  • Hardware prototyping
  • Edge AI & IoT comms
03
AI ML Training

AI/ML Training & Optimization

  • Data pipeline
  • Model training
  • TinyML & edge inference
04
Go to Market

Productization & Go-To-Market

  • Pilot deployments
  • Pricing & distribution
  • Scaling
FROM THE TEAM

Our Blogs

COLLABORATIONS

Our Partners

COMMON QUESTIONS

Frequently Asked Questions

Common questions on our technology, approach, and how we work with farmers.

How does AI SENSE integrate with existing farming practices?

Our AI solutions complement traditional farming methods, introducing smart automation while keeping farmers at the core of decision-making. We work closely with local agricultural experts to ensure our technology enhances existing practices.

What kind of data do your systems collect?

Our systems collect visual data for weed detection, crop health assessment, and growth monitoring. This includes multispectral imagery and environmental data, all processed through secure AI algorithms to provide actionable insights.

How can farmers access AI SENSE technologies?

We work through partnerships with NARC, local agricultural institutions, and farmer cooperatives. Farmers can access our technologies through these partnerships, receiving comprehensive training and ongoing support.

How accurate and reliable are your AI detection systems?

Our models are trained on multispectral datasets validated in real Nepali farming conditions. Detection accuracy exceeds 90% for common weed species and crop stress indicators, with continuous refinement through field feedback from our partner cooperatives.

Get In Touch

Connect with our team

Baltimore, MD, USA
Kathmandu, Nepal
[email protected]
+01 240 444 2669
Our Location

Baltimore, MD · USA

Greater Baltimore metro area
Maryland, United States

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