Flux Auto

Arzana trains custom models on a factory's historical data and use them to deploy agents that automate their quoting, order entry, invoicing, and other repetitive office work. We've saved our customers over $1M in avoided staff costs. In the future, we'll expand into shop-floor automation, sending instructions to machinery and robots to produce the orders that our office agents processed. By 2035, we aim to fully automate 10,000 American factories.

shared extracted concepts: customers; shared product terms: deploy, automate, customer, cost; shared product theme: workflow automation, developer infrastructure, sales and marketing; shared affiliation: Y Combinator

Standard Treasury helped banks harness the power of developers and developer ecosystems by building, hosting, maintaining, and supporting white-labeled and co-branded developer platforms for banks worldwide. Standard Treasury partner banks saw material top-line growth through the decreased cost of servicing their customers, decreased churn, and increased transaction volumes, while delivering tremendous value to their customers by allowing them to radically automate their treasury management and

shared extracted concepts: customers; shared product terms: automate, material, customer, while; shared product theme: workflow automation, developer infrastructure, sales and marketing; shared affiliation: Y Combinator

Infrastructure projects like data centers, factories, and energy facilities require navigating hundreds of permits and regulatory approvals before construction can begin. Today this process is handled through consultants, spreadsheets, and thousands of pages of documentation, adding years to project timelines and millions in consulting costs. We are building an AI autopilot to automate infrastructure permitting and regulatory compliance. Our goal is to significantly reduce the time and cost requ

shared extracted concepts: factories; shared product terms: automate, factorie, reduce, cost; shared product theme: workflow automation, developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

Lighthouz is a backoffice AI solution for freight brokers, to automate AP, AR, and Collections. Leading freight brokers are using Lighthouz AI to automate FTL (full truckload) and LTL (less than truckload) freight bill auditing, automatically filing disputes, and invoicing customers. With Lighthouz, 70%-85% emails do not need to be touched by humans. Hence, brokers using Lighthouz are invoicing customers 36% faster, getting paid 5 days sooner, and reducing back office costs by 40%. Lighthouz bri

shared extracted concepts: customers; shared product terms: automate, customer, human, reduc; shared product theme: workflow automation, sales and marketing; same category: AI infrastructure; shared affiliation: Y Combinator

Spherecast is building Agnes, the AI Supply Chain Manager for Consumer Goods. Agnes decides what to produce, where to make it, and how to move it through factories, warehouses, and channels – simulating thousands of options in seconds and executing the best plan. We are building Agnes to shape the physical flow of goods in the world, turning it into something as programmable as code. When we succeed, every consumer product you touch will run on the Spherecast stack – planned in the Spherecast OS

shared extracted concepts: factories, warehouses; shared product terms: physical, warehouse, factorie; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator

AI to understand and automates the physical world

shared product terms: automate, physical; shared product theme: workflow automation; same category: AI infrastructure; shared affiliation: Y Combinator