Impetus shifts Leap AI toward enterprise context engineering
Enterprise AI needs agentic transformation to turn scattered experiments into measurable business outcomes.
The next phase of AI adoption is less about picking models and more about making enterprise knowledge usable, governed and current. Impetus Technologies Inc. is positioning its Leap AI suite around that problem, combining modernization, semantic context, agent solutions and observability into a framework aimed at moving AI work into production. The core issue is the context gap that keeps promising systems from producing reliable ROI, according to Nachiket Deshpande (pictured), chief executive officer of Impetus.
“Last time when we spoke we talked about the sort of context gap that is sort of preventing the ROI realization for enterprises on their AI journey,” Deshpande said. “We are really excited to launch the Leap AI family to essentially bridge that gap. We talked about the data gap being one key pillar, why the models do not have the enterprise knowledge that enterprises are, which is unique to their enterprises. We have LeapLogic … our modernization solution that helps you liberate that data from legacy environments and make it accessible to your agent AI systems.”
