supply-chain-ai
(15)
The Company That Hired the Missing Middle
BackOps found a lucrative place to put AI: the awkward stretch between spotting a supply-chain problem and actually fixing it. Its agents do not merely point at the fire - they gather the paperwork, cross the portals, ask for approval, and close the loop.
SourceDay Built a Control Room for the 52% of Purchase Orders That Refuse to Sit Still
A purchase order looks final right up until a supplier changes the date, quantity or price. SourceDay built its business in that unruly gap between the ERP's plan and the factory floor - then started teaching software to resolve the safest changes on its own.
Blue Ridge Wants to Fire the Spreadsheet - Not the Planner
The Atlanta supply-chain company spent nearly two decades turning forecasts into buying decisions. Now its biggest bet is that software should handle the routine 80 to 95 percent - and show its work when humans step in.
C3 AI Spent $3 Billion Building the Enterprise AI Future. Now It Has to Sell It.
C3 AI built for the unglamorous places where a bad prediction can ground an aircraft or stop a refinery. After a bruising fiscal year, founder Tom Siebel is back in the CEO chair to prove that deep technology can become a durable business.
r4 Technologies Wants to Fix the Most Expensive Part of AI: Nobody Acts Together
Most enterprise AI predicts inside one department. r4's XEM is built for the awkward moment after the prediction - when inventory, pricing, logistics and people all have to move together.
Calfus Bet Its Consulting Shop on AI Agents. Now It Has to Make Enterprise Software Finish the Job
The Pleasanton firm grew up fixing ERP, data and software problems. Its next act is Aetherion - a governed AI-agent platform designed to turn impressive demos into finished enterprise work.
The $61 Billion Warehouse Brain Hiding in Alpharetta
Deposco’s software handled 1.2 percent of U.S. ecommerce during the 2024 holidays. Its quieter trick is making the warehouse, the storefront and the forecast behave like one system.
ArchLynk
ArchLynk has built a global business around the unglamorous systems that decide whether a shipment moves, a warehouse flows and a product clears customs. Its bet is that deep SAP supply-chain specialization can beat the sprawling generalist integrator.
Intelmatix
Intelmatix is a deep-tech enterprise AI company founded by MIT-trained technologists that builds EDIX, an Enterprise Decision Intelligence Platform designed to act as a 'digital brain' for organizations. Using context-aware AI agents, knowledge graphs and generative AI, EDIX lets companies sense, learn, decide and act across functions like demand forecasting, inventory, workforce planning and site selection - without needing an in-house data science team. Headquartered in Riyadh with offices in London and Boston, Intelmatix focuses on the MENA region, training on local context data that global platforms overlook. It raised a $20M Series A in 2024 - the region's largest AI Series A of its kind - and in 2025 became the first Saudi and MENA AI company named a World Economic Forum Technology Pioneer.
Articul8 AI
Articul8 AI is a Santa Clara-based enterprise generative AI company, spun out of Intel in January 2024, that builds domain-specific GenAI systems for regulated and mission-critical industries such as energy, manufacturing, semiconductors, aerospace, and financial services. Its flagship ModelMesh platform acts as an autonomous 'agent of agents' that orchestrates specialized models on a customer's own data with full auditability and security. The company reached a valuation above $500 million within two years of launch and serves customers including Hitachi Energy, Franklin Templeton, AWS, and Intel.
DeepVu
DeepVu (legal entity Vufind Inc.) is a San Ramon, California startup building AI planning agents for supply chain teams. Its platform pairs a supply-chain knowledge graph (VuGraph) enriched with macroeconomic and trade signals, a digital-twin simulator (VuSim), and reinforcement-learning decision agents (VuDecide) to make demand planning, inventory, procurement, production and logistics decisions more resilient to shocks - while trimming cost and carbon. Founded in 2016 by Moataz Rashad and Prof. Walid Aref, the company pivoted from computer-vision roots to focus on autonomous, shock-resilient supply chain planning for manufacturers and retailers.
Endeavor
Endeavor is a San Francisco AI company building agentic software for the back office of American manufacturers and distributors. Its AI agents read the messy inputs these businesses actually run on - emails, PDFs, spreadsheets, phone calls - and turn them into automated order entry, quoting, accounts payable, and supply chain work inside existing ERP systems. Founded in 2023 by Wharton graduate Sahitya (Sami) Senapathy and backed by a $7M seed led by Craft Ventures, Endeavor counts industrial names like ClarkDietrich, Menasha, Viking, and Bridgestone Americas among its customers.
ThroughPut.ai
ThroughPut.ai is a Silicon Valley-based supply chain decision intelligence company that turns time-stamped operational data into fast, profit-focused decisions. Its AI platform - anchored by an engine named ELI - detects bottlenecks, senses demand, rebalances inventory, and optimizes capacity and logistics so manufacturers, distributors, and industrial operators can free up cash from operations they already run. Founded in 2017 by operators and serial industrial-tech entrepreneurs, the company works backward from real customer demand to match it with actual capacity.
Lyric
Lyric is a Sunnyvale-based AI platform built for the people who actually run supply chains. Its Lyric Studio harmonizes data, algorithms, configurable workflows, and accelerated compute so that planners, engineers, and data scientists can model, test, and deploy decision intelligence apps - from demand forecasting and inventory to network design and transportation. Fortune 500 customers use it to compress months-long modeling cycles into days.
Brain Co.
Brain Co. is a San Francisco-based enterprise AI company that deploys production-ready AI applications for the world's most complex, regulated industries - from government and healthcare to hospitality, energy, and supply chain. Founded by a constellation of Silicon Valley heavyweights including Elad Gil and Dan Ashton, and backed by an elite roster of investors including Patrick Collison, Reid Hoffman, and Andrej Karpathy, Brain Co. raised a $30M Series A in September 2025. Its core technology converts dense regulatory documents into executable rules engines that make AI decisions auditable and compliant - so that governments can permit faster, hospitals can care better, and supply chains can run leaner.