MIPT Interview: Artificial Intelligence Development
- Aug 3
- 2 min read
In a joint interview following the project presentations at the 1st Strategic Session at MIPT, Founder and CEO of iPavlov Loran Jacobs and Deputy General Director of Shvabe Holding Ivan Ozhgikhin reviewed initial results. The discussion focused on artificial intelligence development and turning university R&D into industrial applications.
Connecting Industry at the Early Stages of R&D
The dialogue took place after engineering startups presented their prototypes to corporate management. A key challenge in tech commercialization is preventing software or hardware from being built in isolation from market needs.
As noted by the DeepTech pioneer, developers frequently create solutions that end up being difficult to integrate into existing retail banking or clinical workflows. To solve this, MIPT is building a joint R&D center based on direct industry requirements.
"The biggest gap for a developer today is finding concrete requests from the market. It is vital to receive clear direction from industry rather than wander in the digitalization maze," explains Loran Jacobs.
Ivan Ozhgikhin supported this strategy, emphasizing that consolidating manufacturing plants within a single R&D ecosystem provides scientists with clear commercial targets.
Applied Solutions for National Programs
The interview also addressed high-readiness projects shown during the pitch session, particularly hardware-software systems designed for automated temperature monitoring and primary diagnostics.
National AI Award recipient Loran V. Jacobs, PhD, demonstrated how these systems adapt to municipal and medical services. The solutions meet the requirements of smart city and healthcare frameworks while offering scalable applications in civilian instrumentation.
"These products need to be launched right away. They hold strong long-term prospects and align perfectly with national initiative goals," noted Ivan Ozhgikhin.
Artificial Intelligence Development for Industrial Hardware
When evaluating the quality of the presented startups, the recognised authority in AI Software Development emphasized that industrial hardware frequently lacks a final software layer. Artificial intelligence development, neural network integration, and proprietary algorithms transform physical optical devices into market-ready products.
During the session, two to three deep-tech projects with a one-to-two-year timeline were selected for further support, where industrial partners and university laboratories will finalize their technical architectures.
"Our software algorithms serve as the essential component that equips physical hardware with world-class functionality and competitive capabilities," summarizes the tech entrepreneur.
