What is Pull Logic?
Headquartered in Atlanta, Georgia, Pull Logic provides an advanced Availability Intelligence platform designed to optimize the intersection of manufacturing, distribution, and retail. The company utilizes AI-driven decision intelligence to integrate seamlessly with existing enterprise systems, providing actionable insights for demand forecasting, inventory positioning, and network execution. By transforming raw data into precise operational strategies, the platform enables organizations to mitigate the risks of unproductive inventory and lost sales. Built upon foundational research from Georgia Tech, Pull Logic serves as a critical layer of intelligence for companies navigating the complexities of modern logistics and supply chain management.
How much funding has Pull Logic raised?
Pull Logic has raised a total of $3.3M across 1 funding round:
Seed
$3.3M
Seed (2026): $3.3M with participation from Pax Momentum, IDEA, Yanmar, NewBuild Venture Capital, DNX Ventures, Foster Ventures, and Silicon Road Ventures
Key Investors in Pull Logic
DNX Ventures
DNX Ventures is an early-stage VC firm focusing on B2B startups that are shaping industries and transforming the way the world works, with a strong track record of facilitating partnerships between startups and global conglomerates.
Silicon Road Ventures
Silicon Road Ventures is a venture capital firm focused on investing in innovative companies that are shaping the future of commerce technology, including robotics and sustainable shipping.
NewBuild Venture Capital
NewBuild Venture Capital is an early-stage enterprise venture firm that invests in Supply Chain, Edge Cloud, and Vertical SaaS companies, focusing on thematic investing to enhance enterprise productivity.
What's next for Pull Logic?
With this major strategic investment, Pull Logic is poised to transition from its current development phase into a period of aggressive scaling. The company intends to utilize the capital to enhance its product roadmap, specifically focusing on deepening the integration capabilities of its AI engine across diverse enterprise environments. Furthermore, the firm is expected to expand its go-to-market strategy, targeting key industrial and retail sectors that require high-fidelity visibility into their supply chain operations. As the company continues to mature, the focus will likely shift toward establishing deeper partnerships with global conglomerates, leveraging the expertise of its investor base to drive long-term adoption and industry-wide transformation in supply chain efficiency.
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