Bioplastics production optimisation
Simulate the process. Improve the decisions.
From fermentation data to production scenarios: machine learning and agentic AI supporting yield, consumption and research.
AI ENGINEERING
We combine strategy, data and development to improve processes, products and decisions. From machine learning to agentic AI, we select and combine the methods your project needs.
From understanding the problem to a usable solution.
HOW A SOLUTION TAKES SHAPE
Data and results guide the system’s development.
We start with the process, product or decision to improve. We define expected value, constraints and criteria for assessing the project.
We organise databases, documents and domain knowledge, preparing information for analysis, models and applications.
Machine learning for patterns, optimisation for alternatives, generative AI for text and knowledge, and agents to coordinate actions and tools.
We develop platforms, interfaces and connections to business systems. APIs and protocols such as MCP make data and capabilities available.
We assess performance on representative cases and make results usable by people, with controls appropriate to the context.
HANDS-ON EXPERIENCE
AI, quantitative models and systems integration: a selection of projects our consultants have contributed to across different professional contexts. Explore the challenges and the work involved.
27 projects
Simulate the process. Improve the decisions.
From fermentation data to production scenarios: machine learning and agentic AI supporting yield, consumption and research.
Manufacturing data, finally connected.
CAD drawings, management software and Excel in a shared data foundation: find past jobs, compare costs and put production history to use.
Ask a question. Explore your assets.
Operational data, energy use and documents become accessible through natural language. A conversational platform developed with a focus on the maritime sector.
Every asset has a history. Every task has its time.
Digital asset records, checklists, history and schedules in a dedicated maintenance platform. The project was tailored to low- and medium-voltage switchgear.
Competitive bids. Engineering effort estimated with care.
A dedicated database and an agentic system to estimate engineering effort for EPC projects, drawing on the MDR and experience from previous projects.
Your next project starts with what you already know.
An archive you can talk to: find similar projects, retrieve previous solutions and explore historical costs. An approach applied across different settings, from engineering firms to in-house technical departments.
Strengthen R&D by building on engineers’ expertise.
An applied training programme for a highly specialised engineering team: using LLMs, code and AI tools to explore digital models, simulations and new approaches to design.
Know where to start. Plan how to scale.
A technical and economic assessment for introducing humanoid robotics in a manufacturing company: priority processes, investment scenarios and a path from an initial pilot to wider production use.
Estimate the impact of a pricing change before applying it.
Quantitative models for assessing the expected financial impact of repricing accounts and fees. Experience connecting contractual terms, costs and scenarios to support bank decisions.
Connect pricing complexity with the bank’s systems.
Functional analysis supporting the integration of a complex foreign-exchange trading pricing engine for bank branches in Central and Eastern Europe.
From regulatory requirements to systems impacts.
Experience in two areas: coordinating MiFID II changes in banking systems and managing the impact of the Short Selling Regulation on short-position reporting.
Manuals, spare parts and serial numbers. One conversation.
An assistant connects technical documentation, spare-parts availability and work status. Two MCP servers bring knowledge and operational data together for medical-device technical support.
Anticipate demand, municipality by municipality.
A predictive model to estimate broadband activations one year ahead, supporting a nationwide service launch across 8,000 municipalities.
Make situations needing review visible.
Deep-learning video analysis to support safety checks in electrical substations: protective equipment and observable steps in operating procedures.
From documents to the data your systems need.
Neural networks and NLP to extract information from varied delivery notes, transport documents and invoices, then reconcile it across automotive accounting and management systems.
Spot the error while the package is on the line.
Cameras and computer vision models to detect package non-conformities, check label orientation and support operators’ sorting decisions.
Turn a script into new value for your archive.
Generative AI, automated storyboards and semantic search to connect text and archived content in a personalised video-production workflow.
Turn the voice of the market into product knowledge.
Ingredients, products and reviews in an AI-accessible data ecosystem for cosmetics marketing and research.
Design the logistics network before changing it.
Simulation and mathematical optimisation to compare warehouses, flows, deliveries and returns for a multinational fashion company.
From appraisal documents to a property profile.
Generative AI turns information-heavy auction notices and appraisal reports into structured profiles for evaluation.
Connect genes, conditions and evidence.
The platform integrates clinical, genomic and lifestyle data with literature to explore rare diseases and autoimmune conditions.
Personalise at scale, within real constraints.
Liferapy combines personal profiles, scientific knowledge maps and evolutionary algorithms in a platform that updates plans, recipes and shopping.
From a brand idea to a Web3 ecosystem.
A cloud platform connecting NFT collections, community mechanics and e-commerce sites: from template to launch through one coherent experience.
Understand market demand. Build the right skills.
From LinkedIn job postings to a database accessible through MCP: Job Tower helps identify trends and guide training, service offerings and time-and-materials staffing.
From conversation to application.
An assistant connected to a recruiting platform guides people towards relevant job opportunities.
From scores to a development path.
Quantitative assessments become structured reports on strengths, gaps and potential management development paths.
Spot signals that warrant investigation earlier.
Machine learning on hospital data and clinical notes supports the early identification of people at risk of PAH.
A STEP UP IN PROJECT SCOPE
How can we improve process yield? Where should warehouses be located? What signals are hidden in the data? These challenges call for domain understanding, models and dedicated development.
We design the combination the outcome requires. Strategy, data engineering, mathematical models and software work together. Agentic AI is one option: our scope is the whole problem.
THE CAPABILITIES WE COMBINE
Each project has its own architecture. We bring together the capabilities needed to build it.
We develop models to identify patterns, simulate scenarios and find better configurations against objectives and constraints.
WHAT YOU GET
A quantitative basis for evaluating alternatives and guiding decisions.
We connect archives, databases, documents and specialist sources, making information consistent and usable by models and people.
WHAT YOU GET
An information foundation organised around the problem to solve.
We design systems that interpret content, generate responses and coordinate tools. We define context, actions and validation points.
WHAT YOU GET
Analysis and interaction capabilities integrated into processes and products.
We build dedicated applications and platforms, connect them to business systems, and prepare deployment, monitoring and ongoing development.
WHAT YOU GET
A solution people can use at work, with dedicated interfaces and integrations.
FROM PROBLEM TO PRODUCTION
We define what to build, how to validate it and when to expand it.
We assess the objective, data, constraints and integrations, then identify a useful first scope to develop.
Architecture, scope and success criteria.
We build a first version and test it on data and situations representative of your work.
A verifiable first result, with clear limits and priorities.
We complete the software and integrations, configure access and monitoring, and agree on future development.
Release, documentation and an operating plan.
FIND YOUR STARTING POINT
With AI Automation, we connect and configure the AI tools you already use to carry out defined activities. When you need dedicated software, data architectures and business logic, we build the solution through AI Engineering.
Explore AI AutomationYOUR NEXT PROJECT
Tell us about the problem, the systems involved and what you want to achieve. We start there to define feasibility and a useful first result.
The initial discussion clarifies the objective, available data and development scope.