Nanotronics unveils 'groundbreaking' Gen V AI Model
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Nanotronics 'set to redefine' industry standards with the introduction of its next generation AI, and two new hardware products that leverage it.
Supported by Founders Fund, and trusted by four out of the five FAANG companies and two of the three largest global semiconductor manufacturers, Nanotronics is leading the charge to bring AI-driven efficiency to advanced manufacturing processes. The company announces:
1. GEN V AI: The Future of Manufacturing Intelligence
Nanotronics' latest AI model, GEN V AI, is now pre-trained with a decade’s worth of defect experience from hundreds of top-tier manufacturing operations globally— enabling manufacturers to skip the otherwise tedious, time-consuming and expensive process of pre-training and fine-tuning AI to suit their factory’s unique processes. Utilizing the same transformer technology that powers ChatGPT, Gen V AI enables instant automation of quality inspection, reducing the need for extensive training periods and dramatically cutting costs. This AI allows any factory to leapfrog traditional methods and achieve unprecedented efficiency. Now any factory on earth can join the age of AI and stay competitive with their larger counterparts.
2. nSpec LS Air: Democratizing Advanced Quality Inspection
Offered at a historically low base price of $200,000, the NSpec LS Air offers a ~90% cost reduction compared to existing solutions, thanks to Gen V AI. This model merges advanced quality inspection capabilities with pre-trained AI, making it feasible for any factory to swiftly automate their inspection processes. This technology is product agnostic, working across sectors from aerospace to pharmaceuticals to electronics. Now, manufacturers have access to the hardware and software tools they need to innovate and enhance productivity without prohibitive costs.
3. nSpec PS Air: Precision for Semiconductor Manufacturing
Tailored specifically for the semiconductor industry, the NSpec PS Air, priced at $250,000, incorporates the same state-of-the-art technology as the LS Air— but is optimized for wafer inspection. This model offers semiconductor fabs an immediate, cost-effective solution to automate quality inspection, allowing them to scale their operations efficiently and stay ahead of yield challenges. The NSpec PS Air integrates seamlessly into existing workflows, providing a comprehensive ecosystem for rapid and precise inspection.
Matthew Putman, CEO of Nanotronics, underscores the impact of these innovations: "Our GEN V AI and new NSpec Air models are not just incremental improvements; they are exponential force multipliers. They empower factories with unparalleled efficiency and accuracy at a fraction of the cost. This is a pivotal moment for global manufacturing, and we are thrilled to lead the charge."
Already deployed in hundreds of factories worldwide, these advancements signify a dramatic shift in how complex hardware is produced. The GEN 5 AI and NSpec models are designed to integrate effortlessly with existing manufacturing processes, offering an out-of-the-box solution that leverages Nanotronics' extensive decade-long data repository. This system translates vast data points into actionable insights, enabling manufacturers to correct production flaws in real-time and predict future errors, thus creating an autonomous factory environment. This leap in technology drives up yields, reduces waste, and promotes the adoption of sustainable practices across the manufacturing industry.
“A lot of local manufacturers have watched from the sidelines as conglomerates and foreign competitors have adopted AI systems to streamline efficiency. But, given the scale and margins of many of the factories that make up America’s heartland, most AI solutions are cost prohibitive and out of reach — they simply can’t afford a $2M system,” stated Matthew Putman, CEO of Nanotronics. “Now, we’re enabling any manufacturer no matter their scale to go all-in on the Age of AI— detecting defects earlier in the process and refining their entire production lines.”