
AI that connects with your real systems and processes.
+300
Projects delivered
15+
Years of experience
100%
Senior team
Integrating AI into an enterprise isn't deploying ChatGPT on a support form. It's connecting language models, computer vision or predictive models with the CRMs, ERPs, databases and workflows you already have — so the result is measurable, auditable and scalable. The use-case audit is the first step that separates projects that reach production from those that die in a demo.
Dribba integrates AI into companies that already have systems in production: we connect to your APIs, design data flows, implement security guardrails and measure the real impact. From RAG over internal documentation to autonomous agents operating inside your stack — without breaking what already works.
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Frequently asked questions
RAG (Retrieval-Augmented Generation) lets an LLM answer questions based on your internal documentation, customer data or knowledge base — without fine-tuning. It's the most common entry point because it delivers fast ROI (weeks, not months), low technical risk and doesn't require sharing data with third parties.
Dribba integrates AI with major CRMs (Salesforce, HubSpot), ERPs (SAP, Dynamics), ticketing tools (Zendesk, Jira), SQL/NoSQL databases and custom APIs. The integration service includes data pipeline design, implementation and production monitoring.
A well-defined integration project starts showing measurable results in 4–8 weeks: reduced time on specific tasks, increased throughput or improved accuracy. The fastest ROI cases are document processing, automated support and structured data extraction.
Yes, when done correctly. Dribba implements security guardrails by design: private instances, no third-party data sharing without consent, input/output auditing and granular access control. For regulated sectors (finance, health) we adapt the architecture to compliance requirements.
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