Nexxa.ai is a company that builds specialized AI agents that integrate with legacy engineering systems to automate workflows and enhance productivity for heavy industries, including rail, construction, manufacturing, and critical infrastructure. Pulse 2.0 interviewed Nexxa.ai co-founder and CEO Philipp Wehn to learn more.
Philipp Wehn’s Background
Could you tell me more about your background? Wehn said:
“My background sits at the intersection of innovation, go-to-market execution, and building new businesses inside complex environments. I’m currently the Co-Founder and CEO of Nexxa.ai, where I focus on scaling AI-driven products and turning emerging technologies into real commercial impact.”
“Before founding Nexxa.ai, I spent several years at Siemens and its IoT subsidiary Enlighted, holding leadership roles across go-to-market, innovation, strategy, and venture building. “
“Across my career, I’ve worked in startups, consulting, and large enterprises, which gives me a practical perspective on how to move from vision to execution, and how to make innovation actually scale.”
“I belong to Germany’s Top 40 Under 40 and have won the German M&A Award with SAP.”
Formation Of The Company
How did the idea for the company come together? Wehn shared:
“The idea for Nexxa came from a clear gap I saw between heavy industry and artificial intelligence. While AI has made rapid progress in office and creative applications, the industrial backbone of the economy – rail, construction, manufacturing, and critical infrastructure – is still working with fragmented software and manual processes. We believe the real opportunity is to strengthen these sectors by making AI native to industrial engineering and operations.”
Favorite Memory
What has been your favorite memory working for the company so far? Wehn reflected:
“One of the most meaningful moments has been seeing industrial customers embrace AI once they experience tangible results. Watching AI transition from a theoretical concept into real operating environments, and especially in sectors like rail and manufacturing, has been incredibly rewarding for the entire team.”
Core Products
What are the company’s core products and features? Wehn explained:
“Our core product is Nexxa Nitro, a multi-agent orchestration platform designed specifically for heavy industries. Nitro enables the deployment of specialized AI agents into complex, non-standard industrial workflows. Rather than replacing existing engineering tools, Nexxa’s AI platform runs on top of them, supporting engineers as it modernizes core infrastructure. Key features include rule-based orchestration, explainability, compliance, and alignment with operational standards.”
“We also differentiate ourselves through our Forward Deployed Engineering model, where our teams work directly with customers to deploy resilient, production-ready AI solutions in weeks without disrupting mission-critical systems and workflows.”
Challenges Faced
Have you faced any challenges in your sector of work recently? Wehn acknowledged:
“Absolutely. Heavy industry is historically slow to adopt new technology given the complex workflows, the safety requirements, and the reliance on legacy systems. That has been our biggest challenge.”
Evolution Of The Company’s Technology
How has the company’s technology evolved since launching? Wehn noted:
“Since founding the company in 2024, our technology has evolved from early specialized AI deployments into a robust orchestration platform capable of managing multiple AI agents across complex workflows. Nexxa Nitro now provides structured, compliant, and explainable AI while remaining flexible enough to handle the unique challenges of varying operations.”
Significant Milestones
What have been some of the company’s most significant milestones? Wehn cited:
“Some of our big milestones include our $4.4 million pre-seed round, followed by a $9 million seed round led by Construct Capital, bringing total funding to $14 million. Another major milestone has been enterprise adoption, with customers such as Siemens and Matikon integrating Nexxa into their production environments. We also set up distribution through the Siemens Xcelerator Marketplace to further expand our reach.”
Funding/Revenue
Are you able to discuss funding and/or revenue metrics? Wehn revealed:
“We’ve raised a total of $14 million in funding, including a $9 million seed round announced in January 2026. While we don’t publicly disclose revenue figures, we are preparing to scale revenue by 10x in 2026, supported by strong customer traction and this new capital.”
Total Addressable Market (TAM)
What total addressable market (TAM) size is the company pursuing? Wehn assessed:
“Nexxa is targeting the global heavy-industry market, spanning rail, construction, manufacturing, transportation, and critical infrastructure. These sectors represent a multi-trillion-dollar opportunity.”
Differentiation From The Competition
What differentiates the company from its competition? Wehn affirmed:
“Nexxa stands out by combining human intelligence with artificial intelligence that integrates directly into existing industrial tools and workflows instead of replacing them. Our focus on explainability, compliance, and rapid ROI, along with support from our Forward Deployed Engineering team, allows us to deploy production-ready AI in weeks and drive measurable outcomes in environments where adoption has traditionally been slow.”
Future Company Goals
What are some of the company’s future goals? Wehn emphasized:
“Our immediate focus is scaling revenue and expanding deployments across our core market sectors. Longer term, we aim to help drive what we see as a 10x industrial revolution by modernizing infrastructure, improving efficiency, and strengthening the economic backbone of the U.S. and global heavy industry markets.”
Additional Thoughts
Any other topics you would like to discuss? Wehn concluded:
“We’re particularly interested in shifting the broader AI conversation toward heavy industry and infrastructure. While much of the attention has focused on office automation, we believe the next big wave of impact will come from applying AI to the complex, physical systems that underpin the global economy.”
