Sample use cases
Below is a list of common use cases, although many more are possible.
Analyze conversations, audio, documents, emails, websites.
- •Extract structured data and store it in a system or database.
- •Summarize, compare, connect information.
Answer questions based on unstructured data.
- •Orchestrate with structured data sources, systems, external sources, etc.
Make decisions based on context (e.g., a conversation or emails) and specific rules.
- •Read from or write to systems.
- •Generate documents, images.
- •Run mathematical models, queries, and non-generative machine learning models.
Featured projects
Our most challenging and representative project. We performed the semi-automated migration of Delphi applications to Java using our Codacle service. The novelty is that the migration includes a full re-architecture, suggested and implemented through generative AI after an in-depth analysis of the code and database graph.
This unique approach lets us achieve 65%–75% savings in time and cost compared to a traditional migration.
Documentation for a legacy Java core system, letting new developers ship changes to production in just two weeks. The code is documented through a graph that connects every system component, described not only by its code but by the context of its interactions. Also powered by our Codacle technology.
System that analyzes historical public tenders, generating insights about which competitors and products win certain sectors, to craft better future proposals and increase participation.
WhatsApp chatbot that answers questions about pharmaceutical product inserts (e.g., Roemmers). It supports audio/text interactions, provides links to inserts, filters invalid answers/medical advice, manages consent, and more.