Faraday

Manufacturers and distributors run production scheduling, quoting, inventory, maintenance, and accounts payable work across disconnected systems and manual processes. Orders arrive by email or PDF and must be manually turned into validated ERP entries, invoices must be matched to POs and receipts by hand, and engineering teams check drawings, BOMs, and revisions against standards without a connected workflow. Pricing, purchasing, and maintenance decisions are often made reactively, from fixed calendars or stale data rather than live demand and equipment signals, which the site implies disrupts production and ties up working capital.

Faraday deploys a shared runtime that connects AI agents, hardware, and robots to a company's existing systems so planning, execution, and record updates stay coordinated. The platform covers specific workflows including production scheduling, raw material and inventory optimization, predictive maintenance, uptime monitoring, demand forecasting, pricing optimization, order entry, accounts payable three-way matching, and CAD/engineering review from quote through production documentation. It lets teams choose models suited to each decision, gives agents tools and guardrails for reliability, and turns operational data into environments where models can learn and improve on real workflows. For robotics, Faraday deploys and integrates robots directly with orders, inventory, and schedules through the same runtime.