logo
Kargo Raises $18M to Set New Industry Standards for Inventory Management

Kargo Raises $18M to Set New Industry Standards for Inventory Management

Yahoo06-06-2025
Global supply chain leader Armada makes its first strategic investment in Kargo after successful implementation of AI solution across its national network of warehouse hubs
SAN FRANCISCO, June 06, 2025--(BUSINESS WIRE)--Kargo, a leader in industrial artificial intelligence (AI) technology, announced an $18.4 million investment led by Matter Venture Partners, with participation from previous investors Sozo Ventures and Founders Fund, as well as existing customers and new strategic investors Lineage and Armada Supply Chain Solutions, LLC. Kargo also announced the successful rollout of its computer vision solution at 240 Armada dock doors to automate inventory management across the food supply chain provider's national network of warehouse hubs.
"Comprehensive, proprietary data is the key to unlocking the full potential of AI. Kargo has become the trusted provider of inventory data to leading global supply chains. AI plays a critical role in supply chain integrity and we're helping customers across industries build their AI stack to connect their warehouses, back offices and customers," said Sam Lurye, founder and CEO of Kargo. "This capital investment enables Kargo to develop new products that connect supply chain data and rapidly expand our customer base."
Kargo provides Kargo Towers and Kargo Lifts, integrated hardware and software solutions that automate freight data capture and verification. Kargo Towers are installed at warehouse loading docks or gateways, and use AI-powered cameras to gather information on freight labels, cases and product condition. Kargo's LLM structures the image data into coherent inventory information to flag exceptions (i.e. overages, shortages, damage or compliance concerns) in real-time. The Kargo Lift is purpose-built for forklifts and automated guided vehicles (AGVs) and extends Kargo's AI capabilities to a new vantage point.
By providing visual proof of the contents and condition of every pallet, Kargo supplies customers with accurate and timely inventory data. This deep technical moat has resulted in:
7x YoY Customer Growth: serving 25 customers, including Armada, Tyson, Lineage, Tillamook, Utz, Wayne Sanderson, Aurobindo, DB Schenker, and NFI. Currently, Kargo manages over 500 active towers and forklifts in the field.
$200M of Inventory Processed Daily: handling approximately 20,000 pallets per day and 2M scans per week.
215% NRR: customers are quick to adopt, adapt and act on increased visibility to valuable supply chain data, typically doubling Kargo hardware deployments within the first year.
47 days from signature to go-live: Kargo's platform is built on the principles of rapid time-to-value and no change management. Kargo doesn't rely on customers' infrastructure to install their products, introducing minimal change to existing processes.
"Kargo played a critical role in our ability to successfully implement AI in a meaningful way. We were live in under a month, significantly enhancing our inventory management. Our clients – predominantly large, multi-unit restaurant companies – benefited almost immediately from increased accuracy and traceability." said Rick Rover, President of Armada's warehouse division. "Our commitment to reliability, agility, and resilience ensures exceptional service that consistently benefits our clients."
"Kargo is redefining how supply chains operate by making freight data visible, reliable, and actionable at scale," said Haomiao Huang, Founding Partner at Matter Venture Partners. "Their rapid customer adoption, real-world impact, and deep technical moat make them a category-defining company in logistics AI. We're proud to back Kargo as they build the modern infrastructure layer for the physical economy.
About KargoKargo's mission is to create a universal interpreter for supply chains by using computer vision to connect the physical world of freight to the digital systems used to manage it. Kargo believes that applications of artificial intelligence like this are critical to a more efficient future for logistics. The Kargo system verifies all inbound and outbound freight in real-time, aggregating data, ensuring accuracy, and providing visibility that enables efficient warehouse operations and supply chain management. Kargo was founded in 2019 and is headquartered in San Francisco. To learn more, visit: https://kargo.ai/
About Matter Venture PartnersMatter Venture Partners is a venture capital firm dedicated to accelerating HardTech innovation—reshaping industries like semiconductors, robotics, AI infrastructure, and electrification. As experienced founders and investors, Matter combines capital with deep technical and operational expertise to help startups scale. The firm partners with strategic LPs and leverages a global supply chain network to support founders from early product-market fit through industrial-scale growth. Matter raised a $311 million inaugural fund in 2023 and is headquartered in Palo Alto, California. To learn more, visit: www.mattervp.com
About ArmadaArmada Supply Chain Solutions creates innovative, data-driven, fully integrated supply chain solutions that improve business performance for our clients, enabling them to serve their customers best. We deliver supply chain solutions with extraordinary service, powered by technology, driven by analytics, operating at scale. We are revolutionizing the way supply chains are managed by creating resilient and agile networks to manage the challenges of today's market. Armada believes there's a better way – a better way rooted in transparency, advocacy, and ingenuity. To learn more, visit: www.armada.net
View source version on businesswire.com: https://www.businesswire.com/news/home/20250606420349/en/
Contacts
Media Contact Julie Bishopjulie@walkercomms.com
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Founders Fund, Microsoft-Backed Armada Raises $131 Million For AI Data Centers
Founders Fund, Microsoft-Backed Armada Raises $131 Million For AI Data Centers

Bloomberg

timea day ago

  • Bloomberg

Founders Fund, Microsoft-Backed Armada Raises $131 Million For AI Data Centers

Armada, a startup that makes movable AI data centers for use in fields like manufacturing and defense, has raised $131 million from investors in a deal that highlights the broad use cases for artificial intelligence. The round included new investors Pinegrove Capital Partners, Veriten and Glade Brook Capital Partners, as well as more funding from existing investors like Founders Fund, Lux Capital, Microsoft Corp.'s venture fund and Marlinspike Partners. The company declined to provide its valuation.

What Most Healthcare Cloud Migrations Get Wrong (And How To Get It Right)
What Most Healthcare Cloud Migrations Get Wrong (And How To Get It Right)

Forbes

timea day ago

  • Forbes

What Most Healthcare Cloud Migrations Get Wrong (And How To Get It Right)

Sandipan Biswas | MS Computer Sc | MBA | Director of Engineering, Fortune 20 Healthcare | Senior Member - IEEE | Independent Researcher. Cloud adoption in healthcare has seen dramatic acceleration, driven by the promise of scale, efficiency and innovation. But beneath the surface of this progress lies a more complex reality. Migration to the cloud, especially in healthcare, is not just about moving workloads. It is a strategic redefinition of how data, systems and compliance interact. When these migrations fail, the impact can be more than just financial. It can affect clinical care, breach regulatory boundaries and erode patient trust. Healthcare has unique demands that other sectors do not face. Regulations like HIPAA, the importance of data lineage and the mission-critical nature of patient information mean that success is not defined by cloud adoption alone. It is defined by how well organizations adapt their architecture, governance and operations to meet the evolving demands of both technology and care delivery. Across the healthcare technology landscape, certain patterns tend to repeat. These issues don't usually stem from lack of experience. The real problem is a gap in mindset. Many teams approach cloud migration as a technical upgrade, but what's really needed is a shift in how they think about architecture, governance and daily operations. Here are five recurring missteps that often go unnoticed until they create costly setbacks. Each one can be avoided with the right approach. 1. Treating Cloud Migration As A Simple Lift And Shift Many organizations view cloud migration as a way to reduce costs or eliminate on-premise infrastructure. That thinking often leads to a "lift and shift" approach, where legacy systems are rehosted in cloud environments without meaningful architectural changes. While this may meet short-term goals, it frequently results in performance degradation, inflated cloud bills and missed opportunities for modernization. The better approach is to use migration as a moment to redesign. Instead of porting over static workflows, teams should consider modular designs, event-driven architectures and serverless computing where appropriate. Batch jobs designed for monolithic environments can evolve into real-time processing pipelines. A migration that enhances agility, performance and scalability is far more valuable than one that merely replicates old systems in new infrastructure. 2. Overlooking Governance Until It Is Too Late In highly regulated environments, data governance is not optional. Yet in many cloud projects, it is deprioritized or deferred until after deployment. This creates avoidable compliance risks and slows down innovation when teams are forced to retrofit controls later. Healthcare data must be handled with clarity around ownership, access, lineage and lifecycle. Successful governance strategies start before a single workload is moved. This includes defining stewardship roles, data classification schemes, tagging policies and access protocols. Cloud-native tools such as AWS Lake Formation and Google Cloud Data Catalog help automate these tasks, but only when there is a strong governance foundation in place. When governance is embedded into the architecture from day one, compliance becomes a continuous capability rather than a reactive fix. 3. Assuming Security Comes Built In It is easy to assume that major cloud providers offer baked-in security protections. While the platforms are secure by design, the responsibility to configure and maintain those protections lies with the user. Misconfigured identity policies, open storage buckets and unencrypted datasets are some of the most common issues uncovered during security audits. Security in healthcare cloud environments must be intentional. Encryption at rest and in transit should be a default. Identity and access management must follow the principle of least privilege. Logging, anomaly detection and regular policy reviews are essential. The stakes are high. A single security lapse can lead to data breaches that not only incur fines but also undermine trust in care delivery. 4. Ignoring Observability Until A Problem Occurs Without visibility into how systems behave, even minor issues can become major outages. Many teams invest heavily in infrastructure but forget to build in the observability that makes maintenance and improvement possible. In healthcare, the inability to detect performance issues or trace errors can have serious consequences for both operations and compliance. Observability needs to be a design consideration, not an afterthought. Centralized logging, metrics dashboards and distributed tracing allow teams to detect anomalies early, diagnose root causes quickly and meet audit requirements. These capabilities are not only useful for operational uptime but are also vital in meeting the transparency requirements of healthcare regulators and stakeholders. 5. Thinking Migration Ends At Go-Live One of the most persistent myths is that migration is a one-time project. Teams often disband after go-live, with no long-term ownership plan in place. But cloud adoption is not a destination. It is a continuous journey. The needs of users, the growth of data and changes in clinical workflows mean that cloud systems must evolve over time. Organizations that succeed in the long run treat post-migration operations as a critical phase. They establish cloud centers of excellence, create feedback loops with users and maintain governance and security as living practices. Regular audits, performance tuning and architectural updates are part of this phase. Cloud transformation is sustainable only when it is owned beyond the project timeline. Conclusion Migrating to the cloud is a major milestone for any healthcare organization. But it is only one part of a much larger transformation. The cloud offers unprecedented flexibility, but that flexibility can become a liability if not handled with care. Success depends on more than technical execution. It requires foresight, planning and a willingness to treat cloud migration as a long-term strategic investment. By avoiding the common traps of rushed rehosting, delayed governance, weak security, limited observability and short-term thinking, healthcare organizations can build systems that are secure, compliant and ready to support innovation. With the right foundation, the cloud can truly enable the future of connected, data-driven healthcare. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

ROHM Introduces a New MOSFET for AI Servers Featuring Industry-Leading* SOA Performance and Ultra-Low ON-Resistance
ROHM Introduces a New MOSFET for AI Servers Featuring Industry-Leading* SOA Performance and Ultra-Low ON-Resistance

Business Upturn

time01-07-2025

  • Business Upturn

ROHM Introduces a New MOSFET for AI Servers Featuring Industry-Leading* SOA Performance and Ultra-Low ON-Resistance

Santa Clara, CA and Kyoto, Japan, July 01, 2025 (GLOBE NEWSWIRE) — ROHM Semiconductor today announced the launch of the RY7P250BM, a 100V power MOSFET optimized for hot-swap circuits in 48V power systems used in AI servers and industrial power supplies that require robust battery protection. As AI technology rapidly advances, data centers are facing unprecedented processing demands and server power consumption continues to increase annually. In particular, the growing use of generative AI and high-performance GPUs has created a need to simultaneously improve power efficiency while supporting higher currents. To address these challenges, the industry is shifting from 12V systems to more efficient 48V power architectures. Furthermore, in hot-swap circuits used to safely replace modules while servers remain powered on, MOSFETs are required that offer both wide SOA (Safe Operating Area) and low ON-resistance to protect against inrush current and overloads. The RY7P250BM delivers these critical characteristics in a compact 8080-size package, helping to reduce power loss and cooling requirements in data centers while improving overall server reliability and energy efficiency. As the demand for 8080-size MOSFETs grows, this new product provides a drop-in replacement for existing designs. Notably, the RY7P250BM achieves wide SOA (V DS =48V, Pw=1ms/10ms) ideal for hot-swap operation. Power loss and heat generation are also minimized with an industry-leading low ON-resistance of 1.86mΩ (V GS =10V, I D =50A, Tj=25°C), approximately 18% lower than the typical 2.28mΩ of existing wide SOA 100V MOSFETs in the same size. Wide SOA tolerance is essential in hot-swap circuits, especially those in AI servers that experience large inrush currents. The RY7P250BM meets this demand, achieving 16A at 10ms and 50A at 1ms, enabling support for high-load conditions conventional MOSFETs struggle to handle. ROHM's new product has also been certified as a recommended component by a leading global cloud platform provider, where it is expected to gain widespread adoption in next-generation AI servers. Especially in server applications where reliability and energy efficiency are mission-critical, the combination of wide SOA and low R DS(on) has been highly evaluated for cloud infrastructure. Going forward, ROHM will continue to expand its lineup of 48V-compatible power solutions for servers and industrial equipment, contributing to the development of sustainable ICT infrastructure and greater energy savings through high-efficiency, high-reliability products. Application Examples• 48V AI server systems and power supply hot-swap circuits in data centers• 48V industrial equipment power systems (i.e. forklifts, power tools, robots, fan motors)• Battery-powered industrial equipment such as AGVs (Automated Guided Vehicles) • UPS and emergency power systems (battery backup units)

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store