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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.”
Deshpande spoke with John Furrier during an exclusive conversation on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the Leap AI launch and how context engineering can help enterprises move agentic AI into production. (* Disclosure below.)
The practical challenge is that enterprise AI cannot perform well when it lacks the company-specific rules, priorities and data relationships that shape real decisions. That is why Impetus is framing Leap AI around context engineering rather than simple model adoption. Deshpande pointed to an airline baggage scenario as an example of where AI accuracy stalled until the system understood operational nuance.
“Certain airports, they have their own staff, certain airports they don’t, they partner with someone. All of these are very specific airline nuances,” he said. “We brought that context in and then we are able to now build an agent solution that is bringing [lost baggage] down from 10 to nine to eight-and-a-half. We’ll continue to fine tune it to go get to that goal. That’s the example of what the Leap Suite can do for you.”
The larger market signal is that agentic systems need both software discipline and services flexibility. Enterprises want outcomes, but their environments are too specific for one-size-fits-all tools. Impetus is trying to meet that middle ground with a platform that can adapt to existing systems while still carrying accountability for business results, Deshpande noted.
“I think it’s a new approach that traditionally you would’ve seen system integrators, which will build a lot of knowledge and capability to the table and say I can solve all of these,” he said. “It was bespoke, and it would’ve taken a long time to get the resolution done and the outcome was not always guaranteed. Our new approach is that we are bringing the software and services together on it. It gives you the benefit of outcome area orientation that the software is used to do.”
Speed also matters because AI infrastructure, APIs and models are changing faster than traditional enterprise projects can absorb. Leap AI’s value proposition rests partly on reducing the cost of those choices, so companies are not locking themselves into decisions that may feel outdated a month later. That makes abstraction and observability part of the adoption story, not add-ons, Deshpande emphasized.
“The Leap AI suite is kind of doing sort of two things for that,” he added. “Number one, it is encapsulating complexity of underlying technology changes from the solution builders so that they are able to keep up in a consistent way of building solutions and not worry about a new model being launched or a new offering being launched or a new API being launched. The second thing is that we are building this in collaboration with our key partners. We are also in step with them how the technology is evolving. “
Here’s the complete video interview:
(* Disclosure: Impetus sponsored this segment of theCUBE. Neither Impetus nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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