Built from real enterprise workflow problems.
Jinova was created from a practical enterprise problem: teams already have the information they need, but the work is scattered across tools, tickets, dashboards, documents, Slack threads and internal processes.
The challenge is not simply choosing an AI model.
The challenge is designing, building and operating an agent that does real work across the right systems, with the right controls, for one workflow at a time.
Rajin Madahar
Jinova is led by Rajin Madahar, an enterprise technology leader with experience across solutions engineering, customer workflows, technical operations, escalations, product collaboration, internal tooling, and cross-system business processes.
Jinova is built for the real world: messy systems, security constraints, customer pressure, operational complexity, and the need to prove value on one workflow before expanding.
Show us one workflow that costs your team hours.
We'll map the systems involved, the approval points and the effort it takes today — then show you what a secure AI agent would do differently.
Read-only first. Evidence-based outputs. Human approval before action.