Case Study: HP Indigo
Accelerating the Future of Digital Printing with Leo’s Engineering Intelligence
About HP Indigo
HP Indigo is a world leader in digital printing technology, known for its high-quality liquid electrophotography (LEP) process. As the vanguard of the digital transformation in labels and packaging, HP Indigo develops some of the most complex industrial machinery in the world, integrating advanced physics, chemistry, mechanical engineering, and software.
Their latest flagship, the HP Indigo V12 Digital Press, is the first to utilize the next-generation LEPx technology, designed to compete with flexo printing speeds while maintaining digital flexibility.
The Challenge: Managing Complexity at Scale
Yoni Nir, who leads the strategic development of HP Indigo’s next-generation platform, oversees a massive multidisciplinary team of over 150 engineers and life science researchers. The primary challenge in developing the V12 platform was the sheer volume of specialized knowledge required to innovate across different domains.
Knowledge Silos: With decades of engineering history, critical data was often buried in legacy documentation.
Interdisciplinary Hurdles: Engineers specializing in mechanics often need instant insights into the chemical properties of inks or the physics of the printing process.
Onboarding and Velocity: Bringing new engineers up to speed on the intricacies of the V12 platform was a time-intensive process that could slow down development cycles.
The Solution: A Centralized Engineering Brain
HP Indigo integrated Leo AI as a strategic partner to serve as the "intelligent interface" for their engineering organization.
Instant Knowledge Retrieval: Instead of engineers spending hours or days hunting through technical specifications and past research, Leo AI provides instant, accurate answers to complex technical queries.
Bridging Disciplines: Leo AI allows researchers and engineers to cross-reference data between life sciences (chemistry) and mechanical engineering, ensuring that the development of the V12 press remains holistic and synchronized.
Optimized Decision Making: By acting as a "co-pilot" for Nir’s team, Leo helps validate engineering decisions with data-backed insights, reducing the risk of design errors.
The Impact: Engineering Velocity and Precision
Conclusion
For HP Indigo, Leo AI is more than just a tool; it is a force multiplier for their engineering talent. By centralizing knowledge and accelerating research, HP Indigo ensures that the V12 platform and future generations of digital presses hit the market with unprecedented precision and speed.
