Foundations and frameworks
AI models create value when the systems around them are engineered to last. We build the platforms and frameworks needed to deploy, maintain and evolve them.
Recurring challenges deserve proven foundations
Our systems and frameworks are developed and refined through real engagements, enabling each new deployment to begin with working software, established architecture and tested methods.
Each is installed, integrated and configured around your data, infrastructure and operating environment.
The demonstrations below are for illustrative purposes only. They show AI-enabled applications we have been involved with.
Our framework is used for the efficient design and development of Agentic-RAG systems tailored to your business, tuned for answer quality and running cost, and backed by evidence rather than guesswork. Evaluation is built in from day one and every design choice is tested against it.
A reusable framework for the development of AI-powered models and applications for demand, performance and sensor data forecasting, refined across retail, travel and industrial engagements. A thorough span of cutting-edge forecasting models is evaluated and configured for fast prototyping and robust real-time optimised operation in production.
We deploy systems that bring all relevant data into one environment, with configurable dashboards and a conversational assistant for querying and interpreting it. Our system supports secure multi-tenant deployment and integrates with your data sources to fulfill access control, reporting and alerting requirements. Designed for organizations that need to make decisions from their data and share the results clearly with teams and stakeholders.
Test alternatives. Measure what works. A multi-tenant experimentation platform for testing alternatives across website, mobile apps and digital campaigns.An embeddable container supports tracking for single-page and multi-page applications,. Measurement is anonymised to support GDPR compliance.
AI-powered business intelligence for e-commerce and digital marketing. Web and app tracking, advertising platforms, email campaigns and ERP data flow into a managed analytics pipeline supporting campaign measurement, customer segmentation, sales forecasting, recommendation systems and ad-spend optimisation. Dashboards give a complete view of commercial and marketing performance, and insights flow directly into everyday sales and marketing work.
Financial management for EU-funded projects. Personnel, contracts, timesheets, payments and monthly planning are managed in one environment, with budgets projected forward and funding cost rules applied during planning rather than checked afterwards. Alerts identify eligibility and reporting issues before they become audit findings.
AI technologies
underpinning our work
Machine Learning
Allows mathematical models expressed through software applications to learn from data (or by example) and make predictions, understand previously unseen data, and identify patterns without being explicitly programmed.
Deep learning
Machine Learning branch loosely inspired by the learning functionality of the biological brain and its neurons. It Involves the training of excessively large computational models that comprise millions of processing units organised in cascaded interconnected layers.
Online Learning
Machine Learning typically requires all data to be collected and stored prior to training. Online learning offers techniques that train predictive models ‘on the fly’ by successively consuming streams of incoming data. Moreover, online learning naturally adapts to drifts of the conditions.
Distributed & Federated Learning
When the training data are not collected in a single point but distributed in a number of places (e.g. mobile phones) then distributed learning is mobilised to train models in a decentralised fashion without requiring data to be transfered (preserving privacy and data safety).
Robust Learning
In realistic conditions, training data used to train ML models are likely to be partially corrupted, have missing entries and contain outliers. Robust learning approaches are resilient in such data deficiencies performing well even in harsh conditions.
Novelty detection
Refers to methods that they first learn what it can be considered as normality in the available data and then, they alert whenever an event or a dataset that looks different or surprising appears. In this way any change (positive or negative) in the behaviour of our customers or products can be promptly detected.
Our framework is used for the efficient design and development of Agentic-RAG systems tailored to your business, tuned for answer quality and running cost, and backed by evidence rather than guesswork. Evaluation is built in from day one and every design choice is tested against it.
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Ham and Bananas HollandaiseRecipe
PeelPrep technique 6Number mediumSize bananasIngredient, spreadPrep technique 6Number thin slicesCut boiled hamIngredient (about 1/2 lbQuantity) with mustardIngredient and wrapPrep technique each bananaIngredient in sliceCut of hamIngredient. Arrange in single layer in casseroleEquipment. PreheatCooking tec. ovenEquipment to 400FTemperature and bakeCooking technique 10 minutesTime. Pour 1 ¼-ozQuantity hollandaise sauceIngredient over bananasIngredient. Nice with a green saladRecipe for brunchMeal or lunchMeal.
McCall'sName Great American Recipe Card Collection, 1973Date
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We deploy systems that bring all relevant data into one environment, with configurable dashboards and a conversational assistant for querying and interpreting it. Our system supports secure multi-tenant deployment and integrates with your data sources to fulfill access control, reporting and alerting requirements. Designed for organizations that need to make decisions from their data and share the results clearly with teams and stakeholders.
Test alternatives. Measure what works. A multi-tenant experimentation platform for testing alternatives across website, mobile apps and digital campaigns.An embeddable container supports tracking for single-page and multi-page applications,. Measurement is anonymised to support GDPR compliance.
AI-powered business intelligence for e-commerce and digital marketing. Web and app tracking, advertising platforms, email campaigns and ERP data flow into a managed analytics pipeline supporting campaign measurement, customer segmentation, sales forecasting, recommendation systems and ad-spend optimisation. Dashboards give a complete view of commercial and marketing performance, and insights flow directly into everyday sales and marketing work.
Financial management for EU-funded projects. Personnel, contracts, timesheets, payments and monthly planning are managed in one environment, with budgets projected forward and funding cost rules applied during planning rather than checked afterwards. Alerts identify eligibility and reporting issues before they become audit findings.
