Red Horticulture x Nocloz
“Nocloz enables us to build a reliable financial data foundation to analyze our COGS, monitor cash, and make performance clearer for our teams.”
Hautman Abdellaoui
Chief Financial Officer - Red Horticulture
How RED Horticulture is building a robust financial foundation to manage the growth of an industrial agri-tech scale-up
RED Horticulture develops dynamic LED lighting solutions for horticultural greenhouses, combined with its MyRED software, to optimize plant growth, energy consumption, production cycles, and crop quality.
Its vision is to enable every grower to improve the sustainability and profitability of their operations through photobiology. Its ambition is to become the global leader in light-driven Agri-OS solutions for greenhouses.
Having experienced sustained growth for several years, RED provides its customers with an end-to-end solution. This comprehensive, multidimensional offering also requires close margin management while maintaining an overall view of the business. RED therefore needed a high-performance solution like Nocloz to support performance management across all its operating locations.
RED Horticulture operates a demanding business model at the crossroads of hardware, software, agronomic R&D, on-site installation, and customer support. Its offering is not limited to LED lighting fixtures; it combines technology, photobiology, software, and agronomic expertise.
This creates specific financial challenges: tracking production costs, understanding COGS, managing margins by business activity, maintaining a clear view of cash, structuring analyses across different P&L levels, and making financial data accessible to both finance and non-finance teams.
With Nocloz, RED Horticulture is building a financial data foundation capable of supporting its growth: data that is clearer, more granular, better governed, and ready to be used both in Boardroom and by Dana AI.
A more granular view of performance
RED Horticulture can analyze revenue, COGS, OPEX, and performance trends within a clearer financial structure, with levels of detail tailored to its industrial and technology-driven business model.
More structured cash monitoring
Cash flow monitoring can be organized around a monthly view, including opening balances, movements during the month, beginning cash, and ending cash.
More autonomous dashboards
Finance teams can create, modify, and adapt their own views using pivot table-like functionality, without systematically relying on a spreadsheet or external support.
Data that non-finance teams can use
Business users can access views tailored to their scope, allowing them to understand trends, variances, and performance without having to contact Finance every time they have a question.
A foundation ready for the AI Financial Analyst
Dana AI can query data that has already been structured, including P&L levels, journal entries, business partners, trends, COGS, and performance variances.
The challenge
For RED Horticulture, financial complexity stems directly from the nature of its business model.
The company is redefining industry standards by combining technological expertise—dynamic lighting fixtures and MyRED software—with scientific expertise in photobiology. This hybrid model enables RED to work closely with growers to accelerate the profitability of their operations while helping them transition toward greater sustainability—an expertise that is now being successfully deployed internationally.
This model makes financial management more demanding.
COGS cannot be reduced to a single standard cost line. They need to be understood in detail: costs related to equipment, projects, installations, suppliers, components, technical support, and agronomic guidance. OPEX must also be monitored precisely, particularly in a context of growth, R&D investment, and team expansion.
Cash is another central issue. In a company combining hardware, customer projects, production cycles, R&D investment, and international growth, reading the P&L is not enough. It is also essential to understand cash movements, opening and closing balances, and monthly variances.
Finally, RED Horticulture needs to make financial data more accessible. Operational teams may need to understand a trend, a variance, a change in margin, or a performance trajectory without directly handling accounting data.
The risk in this type of organization is well known: Finance becomes the mandatory point of contact for every analysis. Spreadsheets multiply, interpretations diverge, and teams spend more time rebuilding the data than understanding what it reveals.
RED Horticulture needed a more robust foundation: financial data that is prepared, controlled, structured across different levels, and sufficiently granular to be used both in dashboards and by AI.
What Nocloz enabled
Nocloz enables RED Horticulture to structure its financial data within a consistent model tailored to the realities of an industrial agri-tech scale-up.
In Builder, data is prepared, mapped, and organized according to a financial framework managed by the Finance team. Different P&L levels structure revenue, COGS, OPEX, and other analytical categories, while preserving the ability to drill down into journal entries, business partners, and subcategories.
This structure is essential to understanding performance. It makes it possible to move from an aggregated view to a more detailed analysis: Which line items explain a variance? Which costs are affecting COGS? Which business partners or journal entries are contributing to a variance? What trend is emerging for the month or year to date?
Boardroom then makes this data visible. Its dashboards can be used to build performance, cash, and operational analysis views, with configurable tables tailored to the needs of both Finance and business users.
Finally, Dana AI leverages this structured foundation. The objective is not to place AI on top of ungoverned financial exports, but to enable an AI Financial Analyst to query data that has already been prepared, organized, and controlled.
Dana can therefore help explain trends, explore COGS, analyze variances, identify discrepancies, and make performance easier to understand for finance and non-finance teams alike
The impact
With Nocloz, RED Horticulture is building a financial foundation capable of supporting its growth.
Finance now has a more structured base for producing analyses, monitoring COGS, building a clear view of cash, analyzing performance trends, and preparing views that can be shared across teams.
The value goes beyond reporting. It lies in the ability to transform accounting and analytical data into an actionable financial model—one that can be viewed in Boardroom, enriched by users, and queried by Dana AI.
For RED Horticulture, this development is particularly important. In a company that combines industry, software, R&D, agronomy, and international expansion, performance management cannot rely solely on static tables. It must make it possible to understand performance drivers, anticipate trajectories, and establish a shared view between Finance and business teams.
What this use case demonstrates
The RED Horticulture case demonstrates that an industrial and technology-driven scale-up cannot manage its growth using an overly aggregated financial view.
When a business model combines hardware, software, R&D, industry expertise, customer projects, and international expansion, Finance needs a data foundation capable of connecting accounting entries, P&L levels, business partners, costs, cash, and operational analyses.
Nocloz provides this foundation:
Builder creates a reliable foundation.
Boardroom makes it visible.
Dana AI makes it actionable.
For industrial and agri-tech scale-ups, the challenge is not simply to automate reporting. It is to build a financial data layer capable of explaining performance, monitoring cash, structuring COGS, and giving teams a shared view of the company’s trajectory.
Hautman Abdellaoui
Chief Financial Officer - Red Horticulture
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