Programs supported
Cluster & district pilots
Deployed in cluster pilots with FPOs and district-scale renewable irrigation initiatives.
Edge AI for India's Energy-Food Nexus
Operational intelligence for solar irrigation at scale
Nexus AI synchronizes solar pumps, irrigation, and grid constraints so Indian smallholder farmers get predictable water and utilities get reliable loads.
Nexus AI at a glance
Early-stage, but designed and operated like infrastructure software, not a college project.
Deployment model
Edge-first
Decisions at the edge, with cloud dashboards for oversight and governance.
Stakeholders
Farmers, FPOs, DISCOMs
Designed for multi-stakeholder programs, not single-user apps.
Product: Orchestration for pumps, crops, and grids
Nexus AI runs on rugged edge nodes near irrigation infrastructure, connects multimodal interfaces for farmers, and exposes a command center for utilities and program managers.
Nexus Edge Node
Industrial-grade edge AI node installed near solar pumps and field infrastructure.
- Runs reinforcement learning policies locally, without constant cloud connectivity.
- Streams sensor data from pumps, soil moisture probes, and local weather stations.
- Sub-500ms decision latency for on/off control and flow modulation.
Farmer Companion App
Multilingual mobile and kiosk interfaces designed for low-literacy, low-bandwidth contexts.
- Voice-first workflows for irrigation calendars, pump scheduling, and alerts.
- Visual icons and simple flows tailored for Indian smallholder farmers.
- Offline-first design with lightweight sync when connectivity is available.
Operations Command Center
Cloud dashboard for DISCOMs, FPOs, and government programs managing fleets of pumps.
- Monitor pump fleets, irrigation events, and grid constraints in one view.
- Configure policies and thresholds without touching model code.
- Export impact and governance reports for regulators, donors, and climate funds.
Evaluating a deployment? Write to nexusaifarms@yahoo.com for a product walkthrough.
Technology: Decentralized cyber-physical systems for real farms
Our stack is built for noisy sensors, intermittent connectivity, and constrained hardware, not lab conditions. We design for the realities of rural India from day one.
Energy-Food Nexus orchestration
We coordinate solar generation, pump scheduling, crop stages, and grid limits to make every irrigation decision aware of energy, water, and yield together.
Edge-first architecture
Nexus Edge Nodes make decisions locally, sync state only when needed, and keep irrigation reliable even when connectivity drops or cloud services fail.
Hardware-in-the-loop validation
We test policies on physical rigs that mimic real pumps, pipes, and field conditions to ensure that what works in simulation works in the village.
Multimodal interfaces at scale
Our interfaces blend voice, touch, and visual cues, designed for 150M+ Indian smallholder farmers in low-resource environments where AI must feel simple, trustworthy, and useful.
Governance, reliability, and data stewardship
We treat Nexus AI as infrastructure software: predictable, auditable, and aligned with program governance requirements.
Data governance & ownership
We work with partners to define who owns which data, how it is accessed, and how long it is retained.
- Clear contracts for data ownership and access control.
- Role-based views for farmers, FPOs, utilities, and program teams.
- Exportable logs for audits and reporting.
Operational reliability
We track uptime, missed irrigations, and grid events to keep the system behaving like infrastructure, not an experiment.
- Health checks for edge nodes and communication links.
- Alerting for pump failures and unusual irrigation patterns.
- Versioned policies and rollback mechanisms.
Program reporting
We surface metrics that matter for government and donor programs, not just model accuracy.
- Time and money saved vs baseline operations.
- Water reliability and cultivated area impacted.
- Custom reports aligned to program logframes.
Data-processing agreements and escalation contacts are shared during scoping; urgent field issues reach the on-call line at +91 92625 75128.
What a day with Nexus AI feels like
Instead of juggling calls, pump switches, and grid surprises, field teams see a clear shared plan that updates itself.
05:30
Dawn: Solar and crops in sync
Nexus Edge Nodes pre-compute irrigation windows based on solar forecasts, crop stages, and grid constraints, pushing a simple plan to farmers' companion apps.
10:00
Mid-morning: Real-time adjustments
Clouds roll in; a transformer goes offline. Edge policies reshuffle pump schedules locally, prioritizing critical fields and keeping loads within safe limits.
18:30
Evening: Evidence for tomorrow
Program teams open the command center to see which fields received water, where issues occurred, and how solar, diesel, and grid supplies were used.
Impact: Jharkhand solar-irrigation pilots and beyond
We work with farmers, FPOs, and government partners to turn AI into tangible improvements in water reliability, grid stability, and livelihoods.
Case study: Jharkhand Energy-Food Nexus program
In an early program across solar pump clusters in Jharkhand, Nexus AI engineered a decentralized cyber-physical system for solar-irrigation synchronization.
- Achieved 12% higher resource efficiency in Energy-Food Nexus optimization using multi-objective RL.
- Validated 40% water wastage reduction via hardware-in-the-loop AI-enabled irrigation testing.
- Modeled a 22-month payback period for deployment across farms in the state of Jharkhand.
- Reduced infrastructure costs by 28% through decentralized deployment without continuous cloud connectivity.
"With Nexus AI we finally see solar, water, and farmer needs move in sync instead of fighting each other."
Full methodology and measurement notes available on request from nexusaifarms@yahoo.com.
Other pilots and partnerships
Village-scale orchestration
20+ villages
Solar pump scheduling across villages in eastern India, cutting unplanned pump downtime and night-time failures.
FPO irrigation programs
Multiple FPO networks
Drip irrigation optimization across farmer collectives, saving hours of manual planning each week.
District dashboards
Multi-stakeholder
District-level water governance dashboards that help government partners visualize pump usage, solar generation, and field outcomes together.
Who we serve
Nexus AI is built for smallholder farmers, FPOs, and grid operators who need reliable irrigation without adding complexity.
Smallholder farmers
More predictable water, fewer failed irrigation days, and less dependence on diesel backups.
- Clear irrigation calendars aligned to crop stages.
- Simple alerts when pumps or schedules change.
- Interfaces designed for low-literacy and shared devices.
FPOs & co-operatives
Fleet-level management of pumps and irrigation assets across member farms.
- Overview of usage, outages, and impact by cluster.
- Configurable policies to prioritize critical crops or blocks.
- Evidence for funders and partners through impact reports.
DISCOMs & government programs
Grid stability and renewable integration without black boxes.
- Visibility into pump loads and solar generation.
- Tools to design demand-response programs around irrigation.
- Transparent, auditable AI policies and logs.
Built for partnerships, Nexus AI integrates with existing hardware vendors, local service providers, and government schemes instead of replacing them. Partnership enquiries: +91 92625 75128.
Resources
Deep-dive material for technical teams, field partners, and policy makers interested in the Energy-Food Nexus.
Technical whitepaper - Energy-Food Nexus RL
Architecture, reinforcement learning formulation, and hardware-in-the-loop testing methodology.
Coming soon - join the waitlist in the contact form.
Field notes - Designing AI for rural India
Stories and design principles from building multimodal interfaces with smallholder farmers.
Preview available on request from nexusaifarms@yahoo.com.
Policy brief - Edge AI for climate resilience
How edge AI can align irrigation, energy, and climate goals for government and donor programs.
Draft under review with partners.
What partners say
We work closely with on-ground teams who understand the realities of rural infrastructure and farmer livelihoods.
"Nexus AI turned pump scheduling from a guessing game into a clear, shared plan for our villages. Farmers now know when water will come and why."
"We manage dozens of pumps across our FPO members. With Nexus AI we finally see usage, outages, and results in one place instead of spreadsheets."
"From a grid perspective, their edge-first approach means fewer surprises. We get clean signals for irrigation demand without relying on perfect connectivity."
FAQ
Answers to questions we hear most from farmers, FPOs, utilities, and program teams.
Do we need to replace our existing pumps and hardware?
No. Nexus AI is designed to work with existing pumps and field hardware. In many cases we only add sensors and edge nodes near critical assets.
How does Nexus AI work with poor or intermittent connectivity?
Our edge nodes make decisions locally and sync state opportunistically. Irrigation decisions do not depend on constant internet.
What kind of data does the system collect, and who owns it?
We collect pump usage, irrigation events, basic sensor data, and anonymous system logs. Data ownership and access controls are defined explicitly with each partner.
How long does a typical pilot deployment take?
Most pilots run in 4-6 weeks from scoping to first irrigation events, depending on hardware procurement and local approvals.
How do you handle model updates and policy changes?
Policies and models are versioned, tested on hardware-in-the-loop rigs, and rolled out with clear change logs to partners.
Is Nexus AI suitable for donors, CSR projects, and climate funds?
Yes. Our impact reporting and governance tooling are designed to plug into donor, CSR, and climate resilience programs.
Who do we talk to first?
All early conversations go through Rishabh Agrawal, who scopes the pilot with you before any hardware is discussed.
About Nexus AI
Nexus AI is a deep-tech venture founded at the intersection of computer science, energy systems, and rural development.
We began as independent research into the theoretical foundations of machine learning and cyber-physical systems, then moved into field pilots with farmers, FPOs, and local implementers across eastern India.
Our mission is to make advanced AI feel simple, trustworthy, and genuinely useful in the villages and fields where it matters most. We care as much about interfaces, governance, and livelihoods as we do about models and metrics.
Contact
Ready to explore a pilot, program, or partnership? Share a few details and we'll get back within 3-5 business days.