The Foundation for AI in Spanish
The Regional Context Gap
Current AI models are mostly trained with an Anglo-centric perspective, ignoring the structural reality of Latin America. In critical sectors like legal, healthcare, or construction, global models hallucinate where absolute precision is needed. Proxima is the technical correction to this gap: we build intelligence that understands our context, our laws, and our culture.
Decentralized Knowledge Governance
Inspired by the global success of OpenStreetMap, at Proxima we believe that technical knowledge should not be owned by a single corporation. We are a bilingual hub where developers, universities, and the private sector collaborate to map the Hispanic truth. This model ensures that AI infrastructure remains a public, auditable asset, constantly evolving by those who know the local reality best.
Engineered for Absolute Truth
Consensus
Our quality isn't dictated; it's born from consensus. We implement peer-review processes between the lab and industry experts to validate every dataset.
Standards
We define 'Golden Standards' through rigorous technical benchmarks that measure documentary precision and logical reasoning before each release.
Audit
We guarantee an auditable data lineage. Every asset generated at Proxima is traceable back to its original source, eliminating institutional bias.
Our North Star
"Our goal is to make Proxima's assets the mandatory input for training any frontier model in Spanish. We are democratizing access to centralized public information, empowering sectors with low tech adoption to become more efficient without compromising human jobs."
Democratization
We bridge the gap between English-centric AI and the Hispanic world, creating a centralized infrastructure for public good.
Learn more about our roadmap