San Francisco-based startup Augment has secured $85 million in fresh funding, bringing its total raised to $110 million in under half a year. The Series A round, led by Redpoint Ventures with participation from several logistics- and tech-focused investors, underscores how rapidly artificial intelligence is moving into the freight and supply chain sector.
The company’s central product, Augie, is designed as a “virtual teammate” for logistics professionals. Unlike chatbots or single-purpose automation tools, Augie is trained specifically on freight workflows — quoting, billing, tendering, tracking, invoicing, and collections — with the goal of cutting down on the manual tasks that still dominate supply chains.
Executives point out that the logistics industry moves trillions of dollars of goods annually, yet many teams continue to rely heavily on emails, phone calls, and siloed systems. This creates bottlenecks, thin margins, and high error rates. By embedding itself across communications and transportation management platforms, Augie is meant to handle repetitive tasks seamlessly in the background.
The AI system is already supporting over $35 billion in freight under management, according to the company, across a mix of shippers, brokers, and carriers. Beyond task automation, Augie is being trained to provide memory and reasoning capabilities, integrating structured and unstructured data into an adaptive knowledge base for real-time decision support.
Augment says the new funding will accelerate product development in three areas:
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Expanding multimodal capabilities to serve shippers and fleets across air, ocean, and trucking.
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Strengthening security and AI-native infrastructure to execute workflows at scale.
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Building a larger engineering and support team to deepen integrations with transportation management and financial systems.
The push highlights a broader trend: AI-native platforms in logistics are attracting significant capital as investors bet on productivity gains from workflow automation. For freight operators under pressure from tariffs, volatile volumes, and rising costs, AI teammates like Augie represent both an efficiency play and a competitive advantage.
Analysts say the next phase of adoption will hinge on trust — whether logistics teams feel comfortable delegating critical order-to-cash processes to an AI system, and whether the technology can deliver consistently across fragmented supply chains.
