BackOps Secures Funding to Scale AI OS for Global Supply Chain Efficiency

BackOps, a software firm specializing in artificial intelligence for supply chain management, has announced the successful completion of a $26 million Series A funding round.¹ This latest capital infusion follows a $6 million round led by Construct Capital in June 2025, bringing significant resources to a company aiming to replace manual logistics labor with an AI-native operating system.²

Behind the delivery of essential goods, such as pharmaceuticals and automotive parts, lies a complex network of carriers, warehouses, and customer service departments. According to BackOps, managing these networks often involves navigating 40 to 60 distinct processes across fragmented software systems and multiple vendors.¹

“Supply chains are incredibly complex systems with dozens of vendors, tools, and workflows involved in every shipment. Companies need systems that go beyond tracking the problems, they need help solving them. We built BackOps to connect those pieces together and automate the work logistics teams have historically had to do manually,” said Sean McCarthy, co-founder and CEO of BackOps.¹ “This is just the beginning of how we're raising the bar for what companies can expect across their entire supply chain.”¹

Historically, logistics teams have relied on manual interventions to track shipments, resolve customer inquiries, and file claims. The BackOps platform is designed to unify these components into a single system capable of anticipating disruptions and resolving exceptions through automation.¹ By connecting disparate workflows, the system aims to provide logistics professionals with the mental "headspace" to focus on high-value customer service rather than administrative tasks.¹

How Does the Technological Architecture of BackOps Automate Supply Chain Operations?

The BackOps platform utilizes two primary products to automate the "operational fabric" of the supply chain:

• AI Process Center: This tool is designed to capture institutional knowledge. It records how employees execute specific logistics workflows, identifies inherent inefficiencies, and subsequently converts those manual processes into automated actions.¹
• Relay: Described as an agentic automation engine, Relay operates continuously across communication channels such as email, Slack, and service tickets. It is designed to detect issues in real-time and resolve them automatically—tasks include collecting documentation, initiating reshipments, and responding to inquiries.¹

For sectors with rigorous compliance and documentation requirements, such as the pharmaceutical supply chain, the ability of Relay to automatically collect documentation and file carrier claims is particularly relevant. To ensure oversight, the system employs a “human in the loop” approach, allowing logistics teams to set specific approval points and escalation paths so that automation remains supervised.²

What Are the Quantitative Operational Improvements?

Data provided by BackOps indicates significant performance gains for early adopters across various industries, including retail, grocery, and manufacturing. The platform reportedly accelerates customer response times by 93% and allows logistics teams to realize up to 60% in time savings.¹

Additionally, BackOps claims its platform automatically files 100% of eligible carrier claims.1 For 3PLs managing high volumes of freight, this automation addresses a traditionally labor-intensive aspect of revenue protection and vendor management.

What Is the Strategic Outlook and Industry Impact?

The Series A funding will be utilized to scale the BackOps team and accelerate its product roadmap to meet growing demand for logistics automation.² Tomasz Tunguz, General Partner at Theory Ventures, noted that while supply chains are the "backbone of the global economy," the majority of the sustaining work remains "painfully manual."¹ He characterized BackOps as the “intelligent operating layer” for logistics, with the potential to act as a force multiplier for companies moving goods globally.¹

As supply chains become increasingly complex, the shift toward AI-native systems suggests a move away from mere tracking tools toward active problem-solving platforms. The integration of AI could potentially manage the entire lifecycle of a shipment—from documentation to exception resolution—representing a significant evolution in operational efficiency.

The investment was led by Theory Ventures, with additional participation from Gradient, Construct Capital, and 10VC.¹

References

• BackOps. BackOps raises $26M Series A to build the AI-native operating system for global supply chains. [News release]. San Francisco, CA: Business Wire; March 12, 2026. https://www.businesswire.com/news/home/20260312950847/en/BackOps-Raises-%2426M-Series-A-to-Build-the-AI-Native-Operating-System-for-Global-Supply-Chains
• Revill C. BackOps raises $26M to automate global supply chains with AI. FreightWaves. March 12, 2026. https://www.freightwaves.com/news/backops-raises-26m-to-automate-global-supply-chains-with-ai