At a packed event at Sofia Tech Park, PREDICTO introduced its plug-and-play predictive maintenance solution, designed to prevent unexpected equipment failures and reduce costly downtime. By combining an autonomous sensor with an AI-driven analytics platform, PREDICTO enables manufacturers to track machine health and address potential failures before they escalate. The event, attended by leading investors and industry experts, sparked dynamic discussions on the future of predictive maintenance.
The Genesis of PREDICTO: Solving Industry Pain Points
With over a decade in machinery manufacturing and maintenance, co-founder and CEO Radomir Rashkov identified two key issues while working at Inoxsys, a preferred supplier to industry leaders like ADM, Quarzwerke, and Huvepharma:
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- Complex Installation – Traditional systems require extensive wiring and integration with internal plant infrastructure, making implementation costly and cumbersome.
- Limited Diagnostic Precision – Many solutions can detect anomalies but lack accuracy in diagnosing specific issues, leaving manufacturers uncertain about the root cause.
PREDICTO was created to overcome these limitations. The company’s Industrial Node sensor delivers precise diagnostics without complex installation, making predictive maintenance scalable and accessible worldwide. Leveraging AI-driven analytics, PREDICTO empowers businesses to maximize operational efficiency and minimize unplanned downtime.
“Until recently, such solutions were prohibitively expensive“
Secured with pre-seed funding and angel investors’ convertible loan, PREDICTO has already produced 350 devices and partnered with five leading Bulgarian manufacturers. The company will be raising its next funding round later this year to accelerate growth and expand internationally.
Krasimir Kehayov, Syndicate Lead at Bulgarian Angels Club, investors in the latest funding round, highlighted the strength of PREDICTO’s founding team as a key factor in its potential success:
“At this stage of a startup’s growth, the team is everything. Radomir Rashkov, Viktor Todorov, and Nick Hristov bring complementary expertise—engineering, business development, and technology leadership. They have the potential to build one of Bulgaria’s standout startups, with the opportunity to expand into Europe and North America. Until recently, such solutions were prohibitively expensive, but now the market is ready.”
Sergey Punchev, angel investor and founder of PUNCHev Group, emphasized PREDICTO’s focus on sustainability and usability:
“PREDICTO’s commitment to resource optimization is crucial for modern manufacturing. Their product is built for long-term impact, and its intuitive interface ensures usability even in conservative industries. Whether it’s a game, SaaS platform, or industrial solution, great UX principles remain the same—it must be accessible to users without requiring technical expertise.”
The Market Opportunity: Why Now?
The demand for predictive maintenance solutions is rising as manufacturers seek ways to reduce unexpected downtime, control operational expenses, and maintain profitability. Studies show that unplanned equipment failures account for 7% of lost operational time, resulting in financial losses between €3.5 million and €35 million per year.
Traditional predictive maintenance (PdM) solutions have primarily focused on high-cost, high-risk equipment, leaving over 80% of plant assets unmonitored. PREDICTO’s innovation aims to change that by making predictive maintenance scalable across all types of industrial machinery.
Kristiyan Mihaylov from the PARAi Association noted the strategic timing of PREDICTO’s entry into the market:
“PREDICTO is launching at the perfect time. Predictive maintenance is critical for preventing downtime, and the team’s expertise and agility position them well to tackle this challenge. As automation advances, manufacturers must rethink how they leverage operational data, and PREDICTO provides a powerful solution.”
Solution that extends beyond manufacturing
While PREDICTO’s initial focus is on manufacturing, its technology has applications across mission-critical industries, including high-performance computing. Zvezdelin Borisov, from the Discoverer Supercomputer team, was particularly impressed by how the solution addresses one of the biggest challenges in computing infrastructure—cooling system failures:
“From the first moments of their presentation, it was clear how PREDICTO could improve uptime and shift maintenance strategies from reactive to proactive. But beyond that, they are playing a larger role: digitizing the mechanical profession. By making maintenance more data-driven and efficient, PREDICTO is modernizing a field that remains the backbone of industrial operations.”
For industrial investors, PREDICTO offers a compelling opportunity: By bridging the gap between high-cost assets and everyday machinery, the company is democratizing predictive maintenance, making it both accessible and actionable.
Ivan Chonin from Axbul, a leading distributor of industrial equipment, sees direct value in testing and implementing PREDICTO’s technology:
“We are keen to explore PREDICTO’s capabilities and integrate them into our maintenance offering. Including this solution in our maintenance offering could bring significant value to our operations and clients by enhancing equipment reliability and efficiency.”
As PREDICTO continues its fundraising efforts, the company remains focused on scaling production, refining its AI-driven diagnostics, and expanding into global markets. With a strong founding team, market-ready technology, and a growing base of early adopters, the company is well-positioned to redefine the predictive maintenance landscape.
