Augury was recently named a Leader in the 2025 Verdantix Green Quadrant for Industrial AI Analytics Software—one of only 9 vendors out of 19 evaluated to earn this distinction. But what does that actually mean for manufacturers trying to cut through vendor marketing and find PdM solutions that deliver real results?
We sat down with Artem Kroupenev, Augury’s VP of Strategy, to understand what Verdantix’s evaluation process revealed, and why it matters when you’re making decisions on what technology you’re bringing to plants.
1. We’ve all seen impressive product demos. What made Verdantix’s evaluation process more rigorous than a standard vendor assessment?
Artem: This was probably the most in-depth approach to understanding functionality, strategy, and market reach that I’ve seen. What made it different was how they standardized the evaluation.
They gave the same 5-6 use cases to every vendor and watched how they approached each one. That reveals not just the functionality, but the underlying AI approaches and the full stack of how AI is applied to solve specific problems.
The challenge then becomes: once you understand the range of capabilities, how do you decide what makes one vendor better than another? Verdantix chose to evaluate both breadth of functionality and market reach—which I think is the right approach. You need to know both what a vendor can do and whether they have the staying power to support you long term.
2. Augury is featured in Verdantix’s Leaders’ Quadrant for demonstrating the most comprehensive Industrial AI analytics capabilities. What does that actually translate to for manufacturers?
Artem: We offer market-leading predictive maintenance capabilities because we built a complete solution. From the beginning, we realized partial solutions don’t work in industrial environments. The data’s not there, sensing infrastructure is missing, and workflows aren’t built for AI insights.
So we built the full stack: IoT sensors, signal processing, AI algorithms, seamless integrations with existing systems, and the services to drive fast value and adoption at scale.
And, the impact is significant. Our customers see 3-20x ROI that scales across plants and teams. But ultimately, it’s a cultural transformation—teams go from firefighting to fully proactive within months to a year. They shift from reacting to failures to managing risk and looking forward, creating reliable systems that drive productivity improvements across the entire business.
3. You can’t measure results if you aren’t providing manufacturers with strong predictive maintenance capabilities. What impacts have you seen Augury have on customers?
Artem: We have close to 200 customers—from mid-market companies to Fortune 500 manufacturers, with engagements spanning over seven years. Our deployments range from focused, high-impact site rollouts to enterprise programs across dozens of plants.
This isn’t proof-of-concept value—this is foundational value for these businesses. The operational impact varies by customer and industry, but we consistently see significant reductions in unplanned downtime, lower maintenance repair costs, and measurable capacity improvements across plant portfolios.
For a company with 100 plants, even a small percentage increase in capacity is equivalent to adding full plants at capacity without the capital investment. The real proof is in the longevity: customers with 5-7 year engagements have fundamentally changed how their maintenance organizations operate.
4. Manufacturers are being asked to do more with less—fewer people, aging assets, sustainability pressures, and more. How did Verdantix assess how Augury is built for these challenges?
Artem: This comes down to our focus on adoption at scale. Verdantix assessed both our pace of deployment and the support infrastructure we’ve built.
We see full portfolio rollouts in under two years and we enable this with dedicated reliability partners, success managers, and global support. We work directly with our customers to build centralized strategies for rolling out AI as a foundational layer of manufacturing operations.
At the product level, our mobile applications and intuitive design meet people where they are in the field. But it’s not just about making their work easier—it’s about helping them advance in their knowledge, expertise, and careers.
That’s how you drive real adoption when you’re doing more with less.
5. Some vendors in the report scored high on innovation but low on momentum—or vice versa. Why do you need both to succeed with Industrial AI?
Artem: Over the last 10 years, the pace of technology change has been unprecedented. We’ve completely rebuilt our product development approach. That innovation starts internally, translates into the product, and then into adoption.
But innovation without momentum means great technology that never scales. Momentum is speed to market: how fast you ship, test, and make decisions about what to scale.
When evaluating vendors, customer count matters—but what matters even more is how those customers are supported. What makes Augury different is the people behind the technology. Our expert-in-the-loop approach means customers get transparency and accuracy. They understand what the AI is telling them, why it matters, and what to do about it.
That’s momentum: not just acquiring customers, but driving adoption at speed with dedicated reliability partners who know your assets.
So, What Does This Means for Your PdM Vendor Evaluation?
If you’re evaluating predictive maintenance solutions, Verdantix’s analysis identified the core challenges Industrial AI solutions should solve:
- Look beyond the demo. Ask vendors to show you the same use case from end to end—not a scripted presentation, but real data and real workflows.
- Combat unplanned downtime. Traditional preventative maintenance misses early warning signs. Look for vendors who continuously monitor asset health and flag conditions before they cause breakdowns.
- Bridge the expertise gap. As experienced technicians retire, you need AI that embeds domain knowledge and guides less-experienced team members with clear, actionable recommendations. Ask how the vendor’s expert-in-the-loop approach preserves and scales institutional knowledge.
- Scale beyond pilots. Many AI initiatives stall before delivering enterprise-wide impact. Look for vendors with proven multi-year, multi-plant rollouts.
- Assess both capabilities and momentum. Great technology from a vendor with weak market traction won’t support your long-term transformation. Evaluate innovation pipeline, customer adoption speed, and whether they’re building platforms for transformed operations.
- Look for culture change, not just cost savings. The real value of predictive maintenance is transforming your maintenance organization from reactive to proactive—and that requires more than software. It requires reliability and client partners dedicated to your success.
Ready to see what Leader-level predictive maintenance looks like in action? Request a demo with our team.
