Build the Frontier.
Run It in Production.
We develop cutting-edge AI and deploy it in production with evaluation, monitoring, and governance engineered from day one.
From early strategy and model selection to integration, safety controls, and continuous improvement, we build systems that perform reliably in real business operations.
Leadership
Our team combines world‑class machine learning expertise with industry experience at top universities and tech companies.
Raymond Lee
Head of Engineering (HoE)
Former Amazon engineer with over 10 years of experience in industrial Machine Learning and Recommendation Systems. Leads the engineering team and oversees development and deployment of client solutions.
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John Westcott
Chief Executive Officer (CEO)
Former senior executive at General Electric and SoftBank, with experience managing a $150 billion portfolio and scaling SaaS businesses internationally. Provides strategic and commercial leadership.
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Pasquale Minervini, PhD
Chief Technology Officer (CTO)
Professor of Natural Language Processing at the University of Edinburgh and ELLIS Scholar. Former ML engineer with practical experience in AI safety and explainability. Specialist in language models and large scale AI. Leads the project's technical vision and oversees solution architecture.
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Francesco Tudisco, PhD
Chief Scientific Officer (CSO)
Professor of Machine Learning at the University of Edinburgh and Turing Fellow at the Alan Turing Institute. Specialist in reliable, high‑performance AI for critical applications. Provides leadership of the team's scientific direction and strategic vision.
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Edinburgh
UK
Milan
IT
San Francisco
US
Tell us about your goals and we’ll respond quickly.
Support
Questions about existing systems or reliability concerns? We’ll help you evaluate options and next steps.
Partnerships
Looking to explore a new AI initiative or scale an existing one? Let’s align on goals and scope.
Careers
If you’re interested in working on production AI systems, we’d love to hear from you.
Reliability, safety, and measurable outcomes
What’s the typical timeline from kickoff to production?
Timelines vary by scope and data readiness, but we aim to deliver early working systems and move to production as soon as evaluation criteria are met.
How do you handle data privacy and security?
We design for privacy, access control, and auditability from the start, and build secure pipelines aligned with your compliance requirements.
Can you work with our existing stack?
Yes. We integrate with your current tools and infrastructure, minimizing disruption while improving reliability and performance.
Do you provide evaluation and monitoring?
Absolutely. We set up evaluation harnesses, monitoring, and red-teaming to ensure outputs remain reliable after launch.
Is this a one-off build or ongoing partnership?
We support long-term optimization and operational reliability, but we can also deliver focused engagements depending on your needs.
Ready to explore an AI initiative?
We can scope feasibility, define evaluation criteria, and plan a path to production.
Book a Consultation