We are not just another AI consultancy.

We are dynamic, collaborative and applied problem-solvers, focused on building practical and accessible AI tools to boost your business.

Mission

To help businesses unlock their passion and potential with Artificial Intelligence.

Vision

To be the go-to AI research & development lab for SMEs worldwide.

Values

Progress. Purpose. Passion.

Our leadership team

Tom Lorimer

Chief Executive Officer

Tom has over ten years experience in commercial and project management positions in the consumer and tech space. He was recently Managing Director of a leading AI consultancy and has a BSc from University of Bristol.

Dr Nadine Kroher

Chief Scientific Officer

Nadine has a PhD in Applied Mathematics and has been working in the field of Machine Learning for over 15 years. She has very strong cross-sector and cross-discipline knowledge, and has contributed to numerous registered AI patents and published papers.

Fabio Rodriguez

Senior ML Engineer

Fabio is a highly experienced ML Engineer and Full Stack Developer. He is completing his PhD in Applied Mathematics, with a specific focus on operational research, financial services and the creative industries.

Vincent Mastin

Founder's Associate

Vincent has extensive cross-sector commercial and customer relationship experience, having previously worked with Lazard and HSBC. He has a BA in Modern Languages from University of Cambridge.

Why us

Proprietary Research Excellence

PhD-Level AI Scientists

First Class ML Engineers

Collaborative & Agile Approach

We work with

We have a wide range of cross-sector experience

AI-driven Market Analysis Agent

We integrated a bespoke AI-driven market scoring system for a strategy consultancy, leveraging a combination of LLM-powered few-shot learning, automated data retrieval, and RAG-based analysis. This solution streamlined market indicator selection, normalized data, and generated actionable insights - including heatmaps and assessment tables - while an AI-powered web crawler delivered real-time data updates, enabling our client to provide automatic, data-driven market expansion recommendations.

ML-based Music Artist Crawler

We developed a data-driven platform that uses AI-powered web crawling agents to monitor sounds and artists across social media and streaming sites, in order to identify key performance metrics such as user engagement, monthly listeners, label, and release date. An interactive interface features a sortable table, dynamic semantic search and filter options, and a sidebar with detailed insights, including artist information and performance graphs to help the record label identify up and coming artists.

Text-conditioned Gen-AI Model

We built a text-conditioned 3D generative AI model that transforms textual descriptions into detailed 3D assets. Using advanced natural language understanding and 3D rendering algorithms, it enables seamless creation of realistic models for gaming, design, and virtual experiences. This research-rich project designed, developed and deployed a proprietary AI system to allow real-time precise clothing adjustments on avatars in order to download accurate print-ready sewing patterns.