Helping brands reduce risk, move faster, and meet tomorrow’s demands — today
Our Technology Practice supports food and beverage companies in developing products and ingredients where standard methods are not sufficient or icase of non-standard technologies or approaches. We assess processing options, technical feasibility, scale-up considerations, commercial implications, and regulatory requirements to enable clear go/no-go and development decisions.
We also build digital tools for R&D teams. This includes structuring ingredient and formulation data and creating decision-support applications that enable comparison, optimisation, and scenario evaluation across products and portfolios. Where relevant, AI is used to identify patterns and support evaluation of cost, performance, and constraint.
Addressing Complex, Non-Standard Food Innovation Challenges
The Technology Practice focuses on innovation challenges that go beyond conventional, market-ready product development. It supports early-stage, exploratory, and technically complex initiatives where standard R&D pathways may not apply.
Evaluation of Novel Processing Technologies
We assess emerging and alternative processing methods to determine their technical feasibility, performance advantages, and alignment with product and sustainability goals. This includes comparing technologies for scalability, cost efficiency, and quality outcomes.
Valorisation of Food Production Side Streams
The practice enables the conversion of food production by-products and side streams into value-added ingredients. This supports circular economy models while unlocking new commercial and functional opportunities from underutilised resources.
Holistic Feasibility & Readiness Assessment
Each innovation is evaluated across technical feasibility, business viability, scalability, and regulatory readiness. This integrated approach reduces risk and supports informed go/no-go and investment decisions.
Integrated Food Science & Engineering Expertise
By combining food science, process engineering, and applied research, the practice bridges lab-scale insights with industrial realities. This ensures technology choices are both scientifically sound and commercially relevant.
Structured Management of R&D & Product Data
We design systems to organise complex ingredient, formulation, and product data into structured, usable formats. This improves traceability, accessibility, and consistency across R&D teams and projects.
Custom Digital Tools & Software Development
The practice develops fit-for-purpose digital tools tailored to specific R&D and innovation workflows. These solutions replace fragmented spreadsheets and manual processes with scalable, robust systems.
Advanced Analytics & AI-Enabled Decision Support
Where relevant, AI and advanced analytics are applied to identify patterns, optimise formulations, and accelerate insight generation. This supports more confident, data-driven decision-making across portfolios.
Portfolio-Level Optimisation & Consistency
Digital systems enable cross-project and portfolio-level ingredient optimisation, ensuring alignment on cost, performance, nutrition, and sustainability targets. This improves consistency and reduces duplication of effort.
Rapid Prototyping & Accelerated Innovation
By providing teams with the right technical and analytical infrastructure, digital enablement supports faster prototyping and iteration. This shortens development cycles while improving the quality of R&D outcomes.
With this stack, we enable brands to be future ready!
