Jarmin

Companies need to fill specialized roles such as ML engineer, financial analyst, account executive, compliance analyst, data analyst, project manager, and paralegal, but hiring and onboarding humans for these positions takes months of ramp-up before they understand internal processes and expectations. Teams also want AI systems that can be trusted with real responsibility rather than isolated point tools, meaning the system needs to work inside existing data, knowledge bases, and software rather than requiring new workflows. Without this, teams are left either fully staffing roles manually or relying on narrow automation that cannot take on judgment-based work or escalate appropriately.

Jarmin provides AI employees that learn a company's operations, internal processes, and performance standards, then take on an agreed scope of work inside the tools the role already uses. The AI employee produces reviewable output, escalates decisions requiring human judgment, sends status updates, and takes feedback from anyone on the team, including people outside the company. Jarmin also offers managed AI and ML engineering services including model training and fine-tuning on customer data, RL environments with verifiable rewards, evals to measure model quality, production-ready agents, task automation for repetitive workflows, agentic search over company data, and integrations connecting to the systems and data each role needs.