In the fast-paced world of electronics, companies rely heavily on the parts that make up their devices, but finding the right customers for those parts has always been a challenge.

Pentacue, one of the 16 companies in the Summer’25 Accelerator, is shifting that by using AI to simplify how electronics companies identify potential customers based on public government filings. From day one, Pentacue has been global - with a primary focus on the US market - and is already powering some of the most advanced sales teams around the world. One notable customer, a leading cellular module manufacturer, uses Pentacue’s platform to find new customers in North America and EMEA.

Pentacue’s platform scans through thousands of device registrations, breaking down unstructured data like photos and parts specifications to reveal which parts are used in specific devices. This makes it easier for sales teams to pinpoint companies that might need their components, turning a process that once took months into something done in seconds.

Co-founders Eddy Kurkmakaev and Jack Chan, both with technical backgrounds in software engineering and product management, have developed a solution that cuts through the noise, providing actionable insights with unmatched speed and precision. Despite the complex nature of the task, Pentacue’s AI streamlines data from hard-to-access government databases, allowing companies to target their sales efforts more effectively.

Pentacue's early success comes from focusing on user-centric design and continuous improvement based on customer feedback. As they grow, their vision is clear: they aim to become the go-to platform for electronics insights, helping R&D, marketing, and sales teams unlock the power of data. With an expanding customer base and a growing roster of use cases, Pentacue is well on its way to achieving its mission.

📹 Learn more about Pentacue from co-founder Eddy:

🔍 In sales, R&D or marketing at an electronics company? 

Connect with Eddy or Jack to see how Pentacue helps you find customers faster using real data.