With discipline, ownership, and measurable outcomes — not demos or hype.
We started in the early 2000s with hands-on work on enterprise AI platforms. That experience shaped our approach to AI today — production systems with clear ownership, measurable KPIs, and strong governance, rooted in neuroscience and complex systems.
We’ve been working with AI since the early 2000s, long before it became mainstream.
We began on enterprise AI platforms, building large-scale search and decision systems.
We design and run AI systems in production across real business environments.
Today, we focus on production AI, not experiments or prototypes.
Our work is informed by neuroscience and how people actually make decisions.
We embed AI into core workflows to deliver real, measurable value.






If you are exploring how AI can support your most important decisions and operations, we’ll be happy to connect you directly with the people who would work on your project.
A focused team of senior AI engineers, architects and product leaders.
A focused team of senior AI engineers and product leaders building real-world intelligent systems.
Deep experience in AI products, organizational reality, and modern AI infrastructure.
We work on business-critical workflows that impact revenue, risk, and operations.
Understanding how complex systems learn, adapt and interact with human behavior.
Our team includes professional neuroscientists studying how complex systems learn and fail.
We design AI around human decision-making, trust, and real-world cognitive limits.
We focus on adoption — not just models, but AI that teams actually use.
We do not treat AI as a magic layer you can sprinkle on top of everything.
We see it as an additional capability inside your organization that must:
Fits into existing systems and workflows without unnecessary disruption.
Designed to meet regulatory, security, and audit requirements from day one.
Supports human decision-making with explainable, trustworthy AI.
That is why we:
We design around real workflows and decisions, selecting models that support clear outcomes.
We define clear responsibilities so AI, people, and systems work predictably together.
We set KPIs and governance early to track value and ensure accountability.
Alongside the leadership team, a small group of senior specialists works in cross-functional squads.
Design and implement AI components and integrations with existing systems.
Ensure solutions fit existing systems and standards, preserving architectural integrity.
Provide insight into human decision-making, cognition, and behaviour.
Align work with business goals and KPIs for reliable delivery.
We keep the team compact and senior. For each project, we form a small, cross-functional squad working end-to-end — from strategy to scaling.
We see every engagement as a partnership, not a one-off project:
We work as long-term partners, grounded in your systems, risks, and culture.
We focus on high-impact initiatives, not AI everywhere.
We align on KPIs and decision criteria before building.
We design for long-term operation, with clear ownership and governance.
This is how we ensure our work is meaningful for your organization and safe for business-critical operations.
