In just two weeks, @altaratech helped a semiconductor materials provider increase yield from 80% to 94% on a capacity-constrained production line. To meet surging semiconductor demand, Polar Performance Materials needed to rapidly scale production of its ultra-high-purity alumina without compromising quality. By combining more than a decade of process knowledge with Altara’s AI platform, Polar was able to translate its accumulated materials and manufacturing expertise into higher yield, greater productive capacity, faster problem solving, and substantially higher responsiveness to customer needs. Key outcomes included: - 14-percentage-point yield increase in 2 weeks - 1,000+ hours saved across R&D, manufacturing, quality, and engineering - 50% reduction in innovation time-to-market Christopher, Process Engineer at Polar, used Altara to generate data-backed hypotheses in minutes, pressure-test promising ideas, and validate the strongest ones on the plant floor. He described using Altara as “having a team of 10 more engineers across all functions next to me running ideas, simulations, and analyses in parallel.” And this was just one project within a broader deployment across Polar’s R&D, quality, manufacturing, and process engineering teams. As Polar CEO Michael Edelman puts it: "With Altara as part of the team, our pace of innovation is faster than it’s ever been." We're excited to continue driving outcomes like these for our customers across the semiconductor, advanced materials, and battery industries. ↓ Read the full case study below.