Kargo secured $42 million in a Series B round, marking its latest capital raise to fuel expansion in AI driven supply chain solutions. The round was led by Avenir, with participation from Linse Capital, Hearst Ventures, Lightbank, and existing backers like Matter Venture Partners and Sozo Ventures, reflecting strong ongoing support from logistics-focused funds.
Kargo’s Series B brings its total funding to approximately $91.4 million across four rounds since its founding in 2019. The $42 million will primarily support global scaling of warehouse deployments, product development in agentic AI for back office tasks like invoicing and claims resolution, and expansion with enterprise clients in sectors such as food and automotive. No public valuation was disclosed for this round, consistent with prior raises.
Avenir’s leadership in the round underscores belief in Kargo’s “universal interpretation layer” for supply chains, which avoids custom hardware and standardizes data across nodes. Existing investors like Sozo Ventures and Matter Venture Partners, who participated in earlier rounds, continue to back the company due to its rapid ROI, often realized in weeks, and network effects, where initial deployments lead to upstream and downstream expansions.
Founded by Sam Lurye, Kargo uses computer vision to automate loading dock operations, capturing real time data on freight without manual scans or RFID. It has grown from three enterprise customers post Series A to over 45, including Fortune 500 names like Mercedes-Benz and Tillamook, processing $200 million in daily inventory. This momentum suggests the funding will accelerate Kargo’s role in addressing supply chain inefficiencies.
Kargo, a San Francisco-based startup founded in 2019 by Sam Lurye, specializes in industrial AI for supply chain and logistics, focusing on automating warehouse operations at loading docks through computer vision technology. The company’s core offering includes Kargo Towers and Lifts, which capture data from labels, barcodes, images, and text to verify shipments against bills of lading (BOL), inspect for damage, flag overages/shortages/damages (OS&D), and update inventory systems in real time. This eliminates manual interventions, reduces errors, and provides visual evidence for efficient freight claim resolutions. Kargo’s platform also integrates scheduling, driver check in, and dock door allocation, adapting dynamically to conditions like weather, while offering data driven insights for labor optimization and continuous improvement.
The latest Series B funding round raised $42 million, led by Avenir with participation from Linse Capital, Hearst Ventures, Lightbank, Matter Venture Partners, and Sozo Ventures. This brings Kargo’s total funding to $91.4 million across four rounds, positioning it to accelerate global expansion and product innovation amid a challenging fundraising environment for supply chain startups. The funds are earmarked for scaling deployments with enterprise clients, enhancing its proprietary data layer, and launching Kargo Intelligence, a platform leveraging agentic AI for automating back office workflows such as invoicing, claims disputes, financial reconciliation, and customer service.
Kargo’s growth trajectory has been robust since its $25 million Series A in March 2022, led by Sozo Ventures with participation from Founders Fund and others, which focused on team expansion and system scaling. An additional $18.4 million raise in June 2025, led by Matter Venture Partners and including strategic investors like Lineage and Armada, emphasized new product development and customer base growth, amid 7x year over year customer increases and processing over 20,000 pallets daily. The initial $6 million seed round in February 2021 supported early prototypes, including the first Kargo Towers deployed at an automotive facility.
| Funding Round | Date | Amount | Lead Investor | Key Participants | Purpose |
| Seed | February 11, 2021 | $6 million | Not specified | Sozo Ventures, Founders Fund | Early prototype development and initial deployments |
| Series A | March 23, 2022 | $25 million | Sozo Ventures | Founders Fund, Accomplice, others | Team growth, system scaling, building network effects |
| Additional (Series A extension) | June 6, 2025 | $18.4 million | Matter Venture Partners | Sozo Ventures, Founders Fund, Lineage, Armada | New product development, customer expansion, AI data unlocking |
| Series B | December 22, 2025 | $42 million | Avenir | Linse Capital, Hearst Ventures, Lightbank, Matter Venture Partners, Sozo Ventures | Global warehouse scaling, enterprise deployments, agentic AI platform rollout |
This funding history illustrates Kargo’s progression from hardware focused pilots to a comprehensive AI platform, with revenue growing 8x year over year by 2023 and tripling from 2024 to 2025. Customer adoption has surged from three post 2022 Series A to over 45 enterprises, including Wayne-Sanderson, Aurobindo, Tillamook, Mercedes-Benz, Tyson, Utz, DB Schenker, and NFI, spanning food and beverage, and automotive sectors. Deployments exceed 1,000 towers, with metrics like 215% net revenue retention, 47 day go-live timelines, and daily processing of $200 million in inventory underscoring operational efficiency.
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Investor enthusiasm stems from Kargo’s ability to deliver immediate value, with CEO Sam Lurye noting that customers often place additional orders within three months due to rapid ROI and data accuracy. Avenir’s Jared Sleeper praised the company’s “category defining” approach, emphasizing its de-risked, AI powered integration that benefits all supply chain stakeholders without forcing uniform standards. This aligns with broader market trends, where the global AI warehousing sector is expected to expand from $11.22 billion in 2024 to $45.12 billion by 2030 at a 26.1% CAGR, driven by demands for automation amid labor challenges and rising e-commerce.
In the competitive landscape, Kargo differentiates through edge computing enabled computer vision for real time freight verification, facing rivals in AI supply chain automation. Key competitors include project44 for visibility platforms, Opendock for dock management, Conduit and GoRamp for scheduling, Surgere for AI assisted inventory, and broader players like E2open for end to end transportation AI. Unlike many, Kargo’s hardware-software integration provides irrefutable visual data, potentially giving it an edge in compliance heavy industries.
| Competitor | Focus Area | Key Differentiation from Kargo |
| project44 | Supply chain visibility | Broader platform for tracking; less hardware focused than Kargo’s dock specific automation |
| Opendock | Dock scheduling and management | Software centric; lacks Kargo’s AI vision for damage inspection and real time verification |
| Surgere | AI inventory management with assistant (Sophia) | Similar vision tech but emphasizes RFID integration; Kargo avoids RFID for simpler deployments |
| E2open | End to end transportation AI | Comprehensive ecosystem for planning; Kargo specializes in physical digital bridge at docks |
| Conduit/GoRamp | Appointment scheduling and optimization | Workflow tools; complement Kargo but miss visual data capture for claims and accuracy |
Social media reactions on X (formerly Twitter) were positive, with posts highlighting the raise as a milestone in AI logistics, though no widespread debate emerged. Overall, this Series B not only counters sector fundraising headwinds but also signals Kargo’s maturation into a key player in transforming supply chains through AI, with potential for further innovation in agentic systems and global reach.
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