Climate Light: Developing AI from Retail Horticulture to Agriculture and Food Security
Autumn 2026 our progress so far
Building a new technology platform around AI, horticulture, agriculture and biotechnology
Climate Light is developing a new technology strategy that combines artificial intelligence, horticulture, agriculture and biotechnology to address one of the most important challenges facing the world over the coming decades: how we produce more food and other biological products efficiently, sustainably and economically in a changing environment.
The development is already producing commercial applications.
Climate Light is using the OpenAI platform together with its own AI software and platform, data structures, horticultural knowledge and business processes to develop AI systems for GardenAdvice.co.uk and its MyGardenTeam service.
The latest development is Elena AI, a specialist gardening assistant that is now becoming an integrated part of the MyGardenTeam member service at GardenAdvice.co.uk .
But Elena is only the beginning.
The technology and commercial experience being developed through GardenAdvice is providing Climate Light with a practical environment in which to learn how AI can be applied to much larger problems in commercial horticulture and agriculture.
The company’s strategy is to take the lessons learned from retail horticulture and apply them to increasingly complex horticultural, agricultural and biological production systems.
Using AI where we already have expertise
Climate Light is not approaching AI as a technology company looking for an industry in which to operate.
We already operate within horticulture.
GardenAdvice.co.uk provides gardening information, services and products, while MyGardenTeam provides ongoing support to gardeners.
This gives Climate Light something extremely valuable for AI development: real customers, real problems and real-world feedback.
The development of Elena AI has therefore become more than an AI or software project.
It is a practical test environment for understanding how AI can be integrated into an existing business.
The latest MyGardenTeam system allows Elena to identify plants, save plants into a member’s garden, create plant wish lists, save gardening advice and assist with the design of new and existing garden borders.
This is an example of Climate Light’s wider approach:
Take advanced AI technology and build specialist software around it to solve practical problems in an existing industry.
Why Climate Light is building its own AI Sub platform and software layer
Climate Light is using the OpenAI platform rather than attempting to build a foundation AI model from scratch.
The reason is straightforward.
Developing a world-class general-purpose AI model requires enormous computing resources, specialist teams and capital investment.
Climate Light’s competitive opportunity is somewhere different.
We can take the capabilities of leading AI models and combine them with our own:
- AI sub platform
- software
- horticultural knowledge
- business processes
- customer data structures
- specialist prompts
- workflows
- applications
- industry knowledge
- commercial experience
This creates a Climate Light AI technology layer around the underlying AI models.
The objective is to develop systems that are much more closely aligned with the industries in which Climate Light operates.
The economics of AI are as important as the technology
One of the most important lessons from Climate Light’s early AI development is that building an AI system is not simply about making the AI work.
It has to make economic sense.
Every AI interaction has a cost.
At small scale this may not be particularly important.
At commercial scale, it becomes critical.
If thousands or potentially millions of AI interactions are taking place, the architecture of the software can have a major effect on operating costs.
Climate Light is therefore developing its own software systems to control how AI is used.
Rather than sending every piece of information to an expensive model for every interaction, the objective is to build systems that can determine what processing is actually required, reuse information where appropriate and structure AI requests efficiently.
This allows us to work towards reducing AI token consumption and the associated operating costs.
The result should be a more commercially viable AI service.
AI as a productivity technology
Climate Light also sees AI as a fundamental productivity technology.
The objective is not simply to replace employees.
It is to change what employees spend their time doing.
In a conventional business, a significant amount of employee time can be consumed by administration:
- answering repetitive questions
- entering information
- preparing routine responses
- searching for information
- preparing reports
- organising customer enquiries
- recording customer requirements
- following up customers
- producing standard marketing material
- managing routine communications
AI can increasingly assist with many of these activities.
This potentially allows a smaller administrative structure to support a larger and more productive business.
Moving employees towards higher-value work
This creates an important opportunity for Climate Light.
If AI can take over more of the repetitive administration, employees can spend more time with customers.
That means more time for:
- sales
- customer relationships
- garden visits
- horticultural advice
- project development
- product recommendations
- commercial opportunities
- customer retention
- identifying additional services
This is particularly important for front-end employees.
A member of staff who previously spent much of their working day processing information can potentially spend far more time generating revenue.
The objective is therefore not simply to reduce staffing costs.
It is to increase the economic value generated by each employee.
A potential 30% increase in front-end salaries
Climate Light believes that this productivity change should ultimately benefit employees as well as the business.
If AI-assisted systems allow front-end staff to handle more customers, generate more sales and spend less time on administration, their economic contribution can increase substantially.
Climate Light is therefore developing a model in which increased productivity can support higher salaries for customer-facing employees.
Our current objective is to work towards the potential for around a 30% increase in front-end staff salaries, funded by the additional productivity and revenue generated through the AI-assisted operating model.
This is an important part of the philosophy behind Climate Light’s AI strategy.
We are not simply asking:
How many jobs can AI remove?
We are asking:
How much more can each person achieve when AI removes the administrative work that gets in their way?
The potential outcome is a business with fewer repetitive administrative processes, higher productivity, stronger sales and better-paid customer-facing employees.
Retail horticulture is becoming our AI testbed
GardenAdvice provides an unusually useful environment for this development.
Retail horticulture contains many of the characteristics that make AI commercially interesting.
Customers need advice.
They need products.
They need plant identification.
They need recommendations.
They need help solving problems.
They need garden design.
They need follow-up support.
They generate large amounts of information.
And much of the interaction is repetitive enough to benefit from automation, while still requiring specialist horticultural knowledge.
This makes GardenAdvice an important development environment for Climate Light’s AI technology.
The experience gained from building Elena and the wider GardenAdvice AI systems is now being used to consider much larger applications.
From the garden to commercial horticulture
The next stage is commercial horticulture.
Commercial growers have many of the same problems encountered by gardeners, but at a much greater scale.
A commercial horticultural operation needs to understand:
- soil
- weather
- microclimates
- irrigation
- planting dates
- crop selection
- pests
- diseases
- plant health
- labour requirements
- yield
- input costs
- harvesting
- market requirements
AI has the potential to bring many of these information sources together.
Climate Light is developing its understanding of how AI can be used to analyse horticultural information and support decisions at a commercial scale.
The retail AI work provides a foundation for this.
We are learning how to combine specialist knowledge with AI, how to structure information for AI systems, how to control AI costs and how to build applications that people can actually use.
These lessons can then be transferred into commercial horticulture and agriculture
From commercial horticulture to agriculture
Agriculture represents an even larger opportunity.
Food production is fundamentally a biological system operating within an environmental system.
The performance of a crop depends on many interacting variables.
Weather.
Soil.
Water.
Temperature.
Light.
Plant genetics.
Pests.
Diseases.
Nutrients.
Microbiology.
Management.
Timing.
Markets.
AI can potentially help bring these variables together.
Climate Light is therefore investigating how AI can be used to support agricultural decision-making, including areas such as local microclimate analysis, crop selection, sowing windows, plant health, soil management and environmental risk.
The aim is not to create an AI system that simply produces generic agricultural advice.
The objective is to develop systems that can combine local environmental information, biological knowledge and practical production experience to produce more useful decisions.
Combining AI with biotechnology
This is where Climate Light’s strategy becomes broader than AI alone.
Alongside its AI development, Climate Light is developing biotechnology research focused on horticulture, soil biology, mycorrhiza and biological production systems.
The company sees significant potential in combining these areas.
AI can help us understand complex biological and environmental information.
Biotechnology can provide new biological tools and products.
Agricultural and horticultural research can test those technologies in real production environments.
The combination creates a potentially powerful development cycle:
AI → research → biological innovation → field testing → data → improved AI → improved biological products and production systems.
This is the direction Climate Light is beginning to explore.
Food security is the long-term opportunity
The underlying commercial opportunity is also a major global challenge.
The world needs to produce food efficiently while dealing with environmental pressures, changing weather patterns, soil degradation, water constraints, increasing production costs and the need to improve agricultural productivity.
Climate Light believes that AI and biotechnology will increasingly become important tools in addressing these problems.
Our interest is not simply in developing another AI chatbot.
It is in developing technologies that can help answer much more fundamental questions:
How can we grow more?
How can we grow it more efficiently?
How can we reduce unnecessary inputs?
How can we make better use of soil biology?
How can we understand local growing conditions more accurately?
How can we improve crop reliability?
How can technology help make food production more resilient?
These questions sit at the intersection of AI, agriculture and biotechnology.
A technology development pathway
Climate Light’s development can therefore be viewed as a progression.
Stage 1 — Retail horticulture
Use GardenAdvice and MyGardenTeam to develop practical AI applications.
Stage 2 — AI-enabled horticultural services
Develop specialist AI software, data structures and workflows that reduce administration and operating costs while increasing customer engagement and sales.
Stage 3 — Commercial horticulture
Transfer the technology into professional horticultural production and management.
Stage 4 — Agriculture
Develop AI systems capable of working with larger environmental, biological and production datasets.
Stage 5 — Biotechnology
Combine AI development with Climate Light’s biological research, including soil biology and mycorrhizal applications.
Stage 6 — Food security
Develop integrated technologies capable of supporting more efficient, resilient and sustainable biological production.
This provides a potential pathway from a consumer gardening service to a much broader technology and research business.
Developing intellectual property around AI
The underlying AI models are not Climate Light’s intellectual property.
The opportunity lies in what we build around them.
Our intellectual property and competitive advantage can increasingly come from:
- specialist software
- horticultural datasets
- workflows
- AI agents
- application architecture
- proprietary processes
- biological research
- testing methodologies
- customer feedback
- commercial implementation
- integration between AI and biological systems
This is why Climate Light is investing in its own Ai Sub platform and software development.
The more experience we gain in applying AI to real horticultural problems, the more sophisticated the company’s technology platform can become.
Commercialisation is central to the strategy
Climate Light’s objective is not to conduct research indefinitely without commercial application.
We are developing technology with commercialisation in mind from the beginning.
GardenAdvice provides an immediate route to market.
MyGardenTeam provides a subscription-based environment for AI-assisted services.
Commercial horticulture provides another potential market.
Agriculture provides a much larger potential market.
Biotechnology provides opportunities for products and technologies that can be developed alongside these systems.
This creates several potential revenue models:
- AI-powered consumer subscriptions
- horticultural software
- commercial horticultural AI services
- agricultural AI services
- SaaS
- specialist AI tools
- biological products
- technology licensing
- research partnerships
- commercialisation of Climate Light-developed technologies
The objective is to create a business in which technology development and commercial activity reinforce one another.
From GardenAdvice to Climate Light
The GardenAdvice business has therefore become an important part of something much larger.
The development of Elena AI demonstrates that advanced AI can be integrated into a practical horticultural service.
The next challenge is to take those lessons into commercial horticulture.
From there, the opportunity extends into agriculture.
And alongside that, Climate Light can combine AI development with biotechnology research to investigate new approaches to biological production, soil health and food security.
This is the longer-term Climate Light vision.
AI provides the intelligence layer.
Horticulture provides the initial commercial environment.
Agriculture provides the scale.
Biotechnology provides new biological solutions.
Food security provides the wider purpose.
Building the next generation of Climate Light
Climate Light is therefore evolving from a horticultural business using AI into a company developing technology around horticulture, agriculture and biological production.
The immediate results can be seen in GardenAdvice and MyGardenTeam, where Elena AI is already becoming part of the member experience. The latest system allows members to identify and save plants, maintain plant wish lists, retain useful gardening advice and develop planting plans through the Garden Border Designer.
But these consumer applications are also providing Climate Light with something potentially more valuable:
the experience of building, operating and commercialising AI systems in the real world.
Those lessons are now informing the company’s wider research and development strategy.
The next stage is to take what we are learning from retail horticulture and apply it to commercial horticulture, agriculture and biotechnology.
Our long-term objective is to combine these technologies to help develop more productive and resilient biological production systems.
That is the opportunity Climate Light sees at the intersection of AI, horticulture, agriculture and biotechnology.
And it is why the development of Elena AI is more than simply a new feature for MyGardenTeam.
It is an early commercial step in Climate Light’s wider technology strategy.
