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Ontology-Driven AI Systems Development
Knowledge‑driven, ontology‑based systems make data semantics and process logic explicit, enabling explainable decisions and easy evolution of system behavior by updating the underlying domain model rather than rewriting code.
Ontology-Driven AI Systems Development
Knowledge‑driven, ontology‑based software systems are built through conceptual domain modeling. This approach makes data semantics and process logic explicit, enabling rigorous, proof‑based reasoning for checking business rules and validating system behavior. As a result, system decisions become transparent and easily explainable to both experts and stakeholders. Moreover, you can evolve the system over time—adjusting behavior, constraints, and even user‑facing structures—simply by updating the semantic domain model, rather than rewriting large portions of application code.
Workflow
why we?
Improve quality and credibility of the product
Improve quality and credibility of the product
Quality control from Software Expert will ensure the smooth operation of the software through rigorous manual or automated testing.
Reduce development time
Reduce development time
We offer to save time and resources, reduce financial and reputational business risks by correcting errors at the initial stage of development, before the product is released to the market.
Continuous software testing cycle
Continuous software testing cycle
The development team takes an integrated approach to work, focusing on comprehensive tests and development artifacts along with effective time management.
Individual approach to work
Individual approach to work
We develop a test plan based on your expectations and the needs of your business. Quality control is not only the reliable operation of the software, it is the compliance of the product with business processes.
Extensive experience in testing
Extensive experience in testing
The Software Expert team has not only experience, but a good understanding of business processes and the functioning of various products, which allows for effective testing.
Various levels of testing
Various levels of testing
The team conducts different levels of software testing: unit, integration, system, acceptance testing, API testing or any other, taking into account the features of your product.