From PoC to production
Proof-of-concept on a representative dataset, quality metrics agreed with the business, then hardening: hosting, scaling, and monitoring of data and model drift.
Capabilities · AI & automation
AI model deployment, MLOps, and fine-tuning
From proof-of-concept to production: infrastructure, training pipelines, evaluation, and model maintenance.
AI models
When custom makes sense
Sensitive data, industry-specific terminology, compliance requirements, low error tolerance (finance, manufacturing), or when SaaS does not give control over th…
MLOps and maintenance
Feature store, dataset and model versioning, training pipeline, A/B testing, and rollback. Documentation for the internal team—the model is not a black box for data science only.
Link to agents
Domain models often power AI agents (classification, extraction)—we connect both areas when you need a consistent data policy and governance.
Related areas
You have a specific topic — we will tailor technology, scope and the next Agile iterations. Contact: info@tensorfrog.it
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