From early enterprise AI platforms to modern production deployment — trusted across regulated, high-stake environments.
We started in the early 2000s working with enterprise AI platforms such as Autonomy as certified specialists. Since then, we’ve built and operated AI-driven systems across finance, e-commerce, logistics, telecom and SaaS. The same disciplines we applied to high-stakes decision and analytics systems - clear owners, measurable KPIs, robust governance - are now built into every AI system we deliver. Today we use that experience - and our background in neuroscience and complex systems - to design AI solutions that work in real organizations, not just in demos. More than two decades of AI experience, from enterprise decision systems to modern AI solutions.
Our roots go back more than two decades, when “AI” mostly meant enterprise information retrieval, text analytics and recommendation engines.
We started as certified specialists on platforms like Autonomy, helping large organizations turn unstructured text into actionable insights, alerts and decision support.
Over the years we’ve worked with online businesses and enterprises across Europe and the US, building and maintaining systems for information retrieval, analytics, automation and content management.
When large language models became practical for production use, we didn't start from zero. We already knew what it takes to run AI in production: integration, regulations, data handling and explainability.
We complement our AI engineering expertise with insights from neuroscience and human behavior, ensuring that our solutions are designed for real people and real organizations.
Today, we partner with businesses to bring AI into their most important workflows, ensuring that it delivers real value while being safe, reliable and compliant.






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.
EtaCar Systems is a focused team of senior AI engineers, architects, and product leaders, dedicated to designing, building, and operating intelligent systems for modern enterprises.
We combine long-term experience in AI-powered products, deep understanding of how organizations actually work, and practical knowledge of modern AI tooling and infrastructure.
Our work centers on business-critical workflows - the ones that affect revenue, risk, operations and compliance. We help leadership teams decide where AI can safely amplify their people.
Understanding how complex systems learn, adapt and interact with human behavior.
Several members of our team are professional neuroscientists with academic. They bring expertise in how complex systems learn, adapt and sometimes fail - from neural circuits to human behavior.
We design AI systems with a strong intuition for how people actually think and make decisions under pressure. We are careful about cognitive load, trust and explainability for the people who will work with AI every day.
We pay attention not only to model performance, but also to how AI interacts with teams, incentives. Our solutions are not just technically advanced - they are easier for people to adopt.
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:
That is why we:
Around the leadership team, we have a focused group of senior specialists working together on cross-functional squads:
design and implement AI components, integrations with your existing systems
ensure our solutions fit your existing systems and standards, maintaining architectural integrity
bring insight into human decision-making, cognition and behaviour for better AI design
keep initiatives aligned with business goals, timelines and KPIs for successful delivery
We deliberately keep the team compact and senior. For each project, we assemble a small, cross-functional squad that can work end-to-end: from strategy and design to implementation, measurement and scaling.
We see every engagement as a partnership, not a one-off project:
We see every engagement as a partnership, not a one-off project. We start with your reality - existing systems, constraints, risk and culture.
We focus on a small number of high-impact initiatives, not AI "everywhere". This ensures meaningful results and sustainable implementation.
We align on KPIs and decision criteria for each initiative before we start building. This ensures measurable success and clear accountability.
We design AI systems that are operationally sustainable - with clear ownership, monitoring and governance for long-term success.
This is how we make sure our work is meaningful for your organization and safe for your business-critical operations.
