FarmLoop Energy Group is an AI-powered farm energy orchestration platform that transforms farm waste into clean energy, carbon credits, and rural prosperity bridging the "Orchestration Gap" between biological crop needs and volatile energy markets.
FarmLoop Energy Group combines real-time biological intelligence, AI predictive modelling, and grid governance into a unified platform that transforms energy from a cost burden into a strategic asset farm by farm, crop by crop.
A first-of-its-kind framework bridging raw renewable generation and biological crop needs, creating a continuous feedback loop that improves energy efficiency with every growth cycle.
Automatically diagnoses root causes of energy inefficiencies pump drift, thermal leakage, solar curtailment by analysing the delta between intended and actual energy output.
Maps real-time energy price changes onto existing farm conditions. When the grid issues a high-price signal, the platform automatically deconstructs the shift into a structured flexibility report.
FarmLoop Energy Group was founded on a clear premise: the UK's agricultural energy management is still dominated by manual human monitoring of separate assets solar, irrigation, cooling and fragmented scheduling, leading to "system-wide" blindness that results in significant solar curtailment and high peak-tariff exposure.
Our platform transforms energy management from a fragmented, reactive practice into a governed, real-time intelligence system. We don't just monitor energy use we model the biological and technical signature of each farm operation, providing the predictive intelligence needed to move from "monitoring data" to "executing efficiency."
Built by agricultural advocates and operations professionals, FarmLoop Energy Group encodes farm expertise into a SaaS platform specifically designed for the UK's SME agricultural sector: horticulture, dairy, cold-chain, and grain.
Kandarp possesses a unique "founder–problem–market fit" to lead FarmLoop Energy Group. His background bridges high-level retail operational management (Planet Organic, Duty Manager) and deep-rooted engagement with the British agricultural sector. This dual perspective provides first-hand expertise in the "Orchestration Gap" currently hindering the economic resilience and Net Zero transition of UK farms.
As an NFU Farming for Schools Ambassador and McDonald's Breaking Barriers Scholarship recipient under the presidency of HRH Princess Royal, Princess Anne, Kandarp conducted deep-dive visits across UK farms providing an unparalleled understanding of the "energy shocks" facing modern growers. His operational background ensures FarmLoop Energy is realistic, governed, and perfectly aligned with high-stakes agricultural needs.
FarmLoop Energy Group is building its core team through a phased, revenue-linked strategy: a Full-Stack Engineer to stabilise the Source-to-Soil SaaS integrations; a Senior IoT/Data Scientist to refine the Energy DNA Fingerprinting models; and dedicated Agri-Energy Success Leads to manage onboarding across UK horticulture and dairy hubs in Kent and East Anglia.
All hires are UK-based, aligned with the Government's Smart Energy and Net Zero 2050 agendas. By Year 5, the platform targets 20+ UK jobs across technical development, operations, and global commercial functions.
FarmLoop Energy Group is a cloud-native SaaS platform built on a modular architecture real-time dashboards, IoT hardware integration, proprietary biological logic models, and UK GDPR-compliant infrastructure designed to serve UK agricultural SMEs without requiring internal energy engineering teams.

Machine learning models that identify and "fingerprint" patterns of successful crop-energy interactions, allowing benchmarking and cloning of expert-level energy logic across diverse farm types.

A proprietary schema that converts living farm needs into structured "Energy Flexibility Graphs," ensuring biological health is preserved during automated load shifting.

Integrates with solar inverters, irrigation pumps, grain dryers, and cold storage systems to enrich the energy model with real-time operational data across all farm assets.

Automatically maps real-time grid price signals onto existing farm conditions identifying exactly which asset loads can be shifted without harming crop quality or biological health.

A federated learning architecture enabling anonymised "Energy DNA" benchmarks from UK farms to continuously improve predictive models without sharing sensitive yield or business data.

Closes the loop linking every successful energy load-shift to yield outcomes and automatically prioritising the orchestration patterns that deliver the highest financial and biological returns.
The UK presents a structurally underserved market for intelligent agri-energy management. With over 100,000 UK farm holdings and only 12% of SME farms having moved beyond manual scheduling the demand for FarmLoop Energy Group's biologically-aware orchestration platform is both urgent and commercially validated.
FarmLoop Energy Group's Source-to-Soil lifecycle moves farms from fragmented manual monitoring to intelligent automated orchestration protecting biological yields, reducing grid costs, and building permanent organisational "Energy Equity."
FarmLoop Energy Group ingests real-time data from solar inverters, irrigation pumps, grain dryers, cold storage systems, and weather feeds. Farm waste streams crop residues, animal waste, organic material are catalogued and mapped to energy conversion potential.
The asset-agnostic IoT Orchestration Nodes connect to Fronius Solar, Tesla Powerwall, Grundfos Pumps, and DCC Smart Meters ensuring zero vendor lock-in and a "low-friction" starting point for energy-intensive farms.
The Biological DNA Fingerprinting engine uses machine learning to identify and "fingerprint" the patterns of successful crop-energy interactions moisture tolerance windows, thermal inertia of cold rooms, irrigation cycle time-buffers allowing for benchmarking and cloning of expert-level energy logic.
This Energy DNA is stored as the farm's permanent operational asset ensuring that expert energy knowledge remains within the business even through staff turnover or generational transitions, eliminating the "brain drain" of operational knowledge loss.
The Source-to-Soil Compiler automatically deconstructs a single biological need "reduce grain moisture by 2%" into a complex, multi-step energy workflow that aligns with live solar generation, grid price signals, and thermal asset capacity.
When a cloud-cover dip impacts solar yield or a packhouse throughput spike occurs, the Grid-Aware Delta Orchestration engine automatically adjusts load schedules without manual operator intervention removing the 24/7 monitoring bottleneck.
The Energy Failure Forensics Engine (EFFE) automatically diagnoses root causes of energy inefficiencies pump drift, thermal leakage, curtailment loss by analysing the delta between intended energy schedules and actual technical outputs.
Unlike reactive monitoring, the platform is predictive enabling intervention before an energy imbalance harms crop quality. Hard-coded "Safe Autonomy Envelopes" prevent any automated energy shift from crossing biological risk thresholds.
The platform generates audit-ready carbon intensity reports aligned with the UK's Net Zero 2050 framework and Clean Flexibility Roadmap enabling farms to evidence grid participation and carbon reduction to DEFRA, Ofgem, and investors.
With the transition to Market-wide Half-Hourly Settlement (MHHS), farms will face price signals every 30 minutes. FarmLoop Energy Group's AI-driven orchestration is the only platform designed to respond to these signals in real-time, automatically.
The Outcome-Learning Energy Memory closes the loop linking every successful energy load-shift to yield outcomes and carbon savings, automatically prioritising the orchestration patterns that deliver the highest financial and biological returns. Your platform gets smarter with every harvest.
The Federated Farm Logic Network further enriches your models with anonymised benchmarks from UK farms ensuring your agri-energy intelligence stays ahead of the market as energy prices, regulations, and climate patterns evolve.
FarmLoop Energy Group's tiered SaaS model is designed to scale alongside the complexity of your farm's energy operations from basic solar generation tracking to full biological-to-grid Source-to-Soil orchestration. No "Big Four" consulting price tag required.
In addition to monthly subscriptions, FarmLoop Energy Group offers professional implementation services to ensure farms get the most from their agri-energy platform from day one.
Full installation and configuration of FarmLoop's IoT hardware nodes connecting inverters, pumps, and sensors to the Source-to-Soil platform. Includes API validation and first-run biological logic testing.
A comprehensive Design Validation Audit reviewing existing farm energy patterns, establishing the baseline Energy DNA fingerprint, and configuring the biological constraint parameters for automated orchestration.
Advanced benchmarking reports providing detailed "Energy Equity" insights, competitor analysis via the Federated Farm Logic Network, and full carbon intensity reporting for ESG and Net Zero compliance.
Virtually tests the ROI impact of a proposed energy change adding battery storage, switching to Octopus Agile tariff, or expanding renewable capacity against your farm's biological data before real-world investment.
The FarmLoop Energy Group team is available for pilot discussions, technical briefings, and demonstrations of the Source-to-Soil Orchestration platform for UK agricultural SMEs.
FarmLoop Energy Group is actively recruiting pilot partners across UK horticulture, dairy, and cold-chain sectors. Engage Kandarp Joshi directly to discuss how the Source-to-Soil Orchestration Platform can transform energy from a cost burden into your farm's most powerful strategic asset.
We are actively recruiting 5–10 Kent and East Anglia-based horticulture and cold-chain facilities for a 12-week Source-to-Soil pilot. Following detailed product demonstrations, four Kent horticulture groups and three mid-market cold storage firms have already submitted Letters of Intent to participate in Phase 1.