PartsPulse, an AI-powered startup building a unified “command center” for aftermarket parts operations, has raised $3 million in seed funding as it launches its platform designed to help manufacturers, dealers, and fleet operators manage inventory, pricing, and sales intelligence in a single system. The funding supports the company’s early commercial rollout and expansion across North America as it targets inefficiencies in the fragmented global parts supply chain.

The seed round was led by UP.Partners, a venture capital firm focused on investing in technologies that modernize transportation, logistics, and industrial systems. The investment also reflects UP.Partners’ broader strategy of backing companies operating in the “moving world,” where physical supply chains are increasingly being digitized and optimized through artificial intelligence.

Founded by CEO Steve Blanco, PartsPulse was created to address long-standing inefficiencies in aftermarket parts ecosystems, where OEMs and dealers often operate with disconnected systems for pricing, inventory planning, and customer demand tracking. The company’s platform integrates these previously siloed functions into an AI-native system that analyzes large volumes of operational data to identify demand patterns, pricing opportunities, and inventory imbalances.

According to company information, PartsPulse was developed in partnership with UP.Labs and co-created with industrial manufacturer Wabash, allowing the product to be shaped directly by real-world manufacturing and distribution workflows. This collaboration has been central to its design approach, ensuring that the platform addresses practical challenges faced by OEMs and dealer networks rather than abstract analytics problems.

The $3 million funding round is expected to be used to accelerate product development, expand engineering and go-to-market teams, and scale adoption among OEMs, distributors, and fleet operators. The company is also developing additional capabilities, including dealer inventory management tools designed to improve coordination between manufacturers and downstream partners, a key pain point in the aftermarket supply chain.

PartsPulse’s platform positions itself as an “AI command center” that connects demand signals, pricing structures, and inventory data into a unified system. By doing so, it enables operators to make faster and more informed decisions about where to stock parts, how to price them across regions, and how to respond to shifting customer demand. The company argues that traditional enterprise systems are too fragmented to provide this level of real-time visibility.

The startup operates within a large and growing aftermarket parts industry that spans heavy equipment, automotive, and industrial manufacturing sectors. In these markets, delays in part availability or misaligned pricing can lead to costly downtime, making operational efficiency a critical competitive factor for both OEMs and distributors.

Investor interest in PartsPulse reflects a broader trend of venture capital flowing into industrial AI and supply chain intelligence platforms. By embedding artificial intelligence directly into operational decision-making workflows, companies like PartsPulse aim to reduce manual planning cycles and improve margin performance across complex distribution networks.

Under the leadership of Steve Blanco, who previously spent over a decade at enterprise software company Documoto before its acquisition by Valstone Corporation, PartsPulse brings domain expertise in both software development and industrial parts ecosystems. This background has shaped its focus on building deeply integrated systems rather than standalone analytics tools.

With its $3 million seed funding secured from UP.Partners, PartsPulse is now focused on expanding customer deployments, enhancing its AI models, and strengthening its position as an emerging infrastructure layer for aftermarket parts management.

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