Build a SaaS^? workbench that lets ML^? and product teams manage customer-specific model adaptation in one place: dataset preparation, fine-tuning runs, evaluation results, deployment approvals, and integration handoff. The product would focus on operationalizing research-grade models into production systems, with workflows for experimentation, versioning, and customer-specific deployment tracking.

AI teams are moving beyond generic model integration toward customer-specific model behavior and productionized agentic or ML^?-driven features. Job postings across healthcare, fintech, public sector, autonomous systems, and discovery platforms show active investment in this workflow.