Shared understanding.
Customers, orders, products, rules: a common business language for your people, systems and AI agents.
Connect your people, systems and knowledge. For AI that understands your business and helps you move forward.
Designed for SMEs · Built step by step, with people at the centre
We are developing an enterprise AI platform that brings conversations, knowledge and operations together. It starts with a shared understanding of your business.
Customers, orders, products, rules: a common business language for your people, systems and AI agents.
Connect conversations to relevant information and permitted actions, within your own business processes.
Your people set the goals, permissions and decisions that need their approval.
A customer question. A business definition. A new requirement. Explore three scenarios that illustrate our approach.
After checking your reference and the required verification details, I can look up the permitted status of your order.
The definition should come from your approved business rules: promised delivery date, order status and any applicable exceptions.
The goal is to turn your need into a proposal: an approval rule, authorised people, impact assessment and tests, before any release.
Fictional examples, with no connection to real data. The last two scenarios illustrate the product vision and are not currently available features.
A practical first use case, then a shared foundation to support your business as it evolves.
A practical starting point for customer conversations over the phone and in the browser.
A foundation for describing your business in your own terms and structuring the context used by AI.
Over time, evolve your software from your business needs, through changes that are reviewed, tested and approved.
An AI project starts with your reality. We focus on a clear scope, explicit rules and learning through use.
Identify a specific use case, the people involved and what would make a meaningful difference.
Clarify the relevant data, systems to connect, access rights and human approvals.
Evaluate a pilot scope with your team. Learn from the results before expanding to more use cases.
We are building Sunovation ONE around a conviction: AI should make room for what makes work deeply human — judgment, creativity and relationships.
Our ambition is to help smaller businesses reduce repetitive coordination, share knowledge more effectively and evolve their tools as their business changes. A gradual transformation, directed by the people doing the work.
We are designing Sunovation ONE for small and medium-sized businesses, including industrial companies, starting with practical customer-service and business-information use cases. Each engagement has its own agreed scope.
A voice-and-chat prototype has been implemented. Going live requires validation in real conditions. Ontology Studio is in development; broader orchestration and Evolution as a Service describe our product direction. Contact us to discuss a pilot.
Our approach is to connect the systems and data already in your business. Required integrations, their availability and their limitations are evaluated for each project.
People set the goals and rules. AI assists with permitted tasks; judgment, exceptions and accountability remain human responsibilities. Specific supervision mechanisms are defined and verified for each use case.
A practical need, an idea to explore or an interest in a pilot? Tell us about your business and what you would like to improve.
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