Scope
Choose one valuable workflow, its users, and a measurable decision or outcome.
For enterprise
Turn operational knowledge into training and evaluation data, with provenance you can audit.
Savia helps teams capture the knowledge hidden in everyday work, then structure it into training and evaluation assets with permission, provenance, and regional meaning intact.
Build
Connect approved sources and capture expert judgment, exceptions, and local language.
Deploy
Deliver governed datasets and evaluations your teams can use and reproduce.
Where Savia fits
Start with one consequential workflow.
Agent evaluation
Test whether an agent can complete regional work safely before it reaches customers.
Knowledge capture
Preserve the judgment behind critical processes before it disappears or fragments.
Model improvement
Create high-signal examples from real exceptions and verified expert corrections.
Regional expansion
Adapt products country by country without pretending one Spanish covers every market.
PERMISSION / PROVENANCE / CONTROL
Start a conversation
Your knowledge does not become a black box.
Authorization scope, source lineage, transformation history, and reviewer identity travel with every asset. Access remains tenant-isolated and revocable.
AI data services
Services for AI and data teams
Spanish AI evaluation for Latin American markets
Regional Spanish AI evaluation for es-CO, es-MX, es-AR and other scoped variants: rubric scoring, preference ranking and red-teaming.
Explore the serviceExpert annotation for healthcare, law and finance
Healthcare, legal and finance annotation in Latin America with project-specific practitioner verification, source rights and item-level provenance.
Explore the serviceEgocentric video collection in Latin America
Project-based egocentric video collection in Latin America: recruitment, local-language onboarding, household consent and daily quality review.
Explore the serviceRegional benchmarks built from verifiable sources
Latin American AI benchmarks built from authorized sources, explicit derivations and regional task definitions, with model-inferred content clearly labeled.
Explore the service