For a solution to be considered Responsible AI, it must have bias control and regulatory compliance from its conception. Bravonix applies these principles to every product, with technical curation and partnerships with global technology leaders, to ensure credibility and robustness in its projects.

Each solution is built with current legislation on the use of artificial intelligence in mind, with traceability and auditability from the very first stage. This regulatory expertise comes from our own history: Bravonix was born from LGPDNow, a pioneering platform for compliance with Brazil's General Data Protection Law (LGPD), and we apply the same rigor to every AI solution we deliver.

Yes. Products such as Contrata.IA and Smart-ITBI were built specifically for the reality of city halls and public bodies, with solutions already validated in real projects.

Yes. BravoContract, Audit, Anonymity and the AI Agents (Bravobot, BravoJus, BravoSim, Bravo Flow) serve private organizations of all sizes and segments, automating tasks that currently depend on manual processes.

An AI is responsible when it combines traceability, explainability and human oversight from its conception — not as a layer added later. This includes logs and audit trails, access control, versioning of models and datasets, and continuous bias assessment. Bravonix applies these criteria to every solution it delivers.

It is the ability to show why the AI reached a given recommendation or decision, based on verifiable data and criteria. Without explainability, an automated decision cannot be audited, challenged or corrected — which is why it is a prerequisite, not a differentiator, in Responsible AI solutions.

Critical decisions — legal, tax, pension or regulatory — require human review as a safety layer, especially in public and private sectors subject to external audits. Bravonix keeps human checkpoints at the most sensitive stages of each solution, without giving up automation where it is safe.

No — they are complementary. LGPD compliance deals with the proper use of personal data; Responsible AI also covers explainability, bias, versioning and governance of the model itself. Bravonix applies both together, combining its established LGPD experience with auditable AI practice.

The starting point is to map where AI already makes or influences decisions, define which ones require human review, and establish audit trails before going into production. Bravonix carries out this diagnosis with the client before any implementation.

Yes. Most solutions can be tested before you decide to buy, so you can see the product running in your real context before investing. Talk to one of our experts to schedule a demo.