san francisco, December 11, 2025 /PRNewswire/ — Kaya AI, the agent predictive supply chain intelligence platform for mission-critical construction, today announced that Mukesh Jain, the Amazon AI leader behind Rufus and over $12 billion in AI-driven commercial impact, has joined the company as Chief Technology Officer. Jain's move signals a major shift in AI leadership to industrial and infrastructure sectors.
Jain built Rufus from a concept to a platform serving hundreds of millions of users. As TechCrunch recently reported, Rufus helped drive record Black Friday sales, highlighting the system's commercial impact and real-time decision-making capabilities. Prior to Rufus, Jain built and led Amazon's Product Graph. This knowledge system powers more than 30 internal AI applications.
Kaya is bringing that level of advanced applied AI to the construction industry, one of the world's largest and least digitized industries. With demand for data centers, clean energy, and semiconductor infrastructure surging, the industrial sector is now the next major frontier for enterprise AI.
AI built with how construction actually works
At Kaya, Jain will lead the development of Amber, a domain-trained AI knowledge worker purpose-built for construction. Amber understands drawings, specifications, deliverables, information requests, supplier quotes, schedules, equipment lead times, and OFCI/OFE equipment data and consolidates them into a single project graph to support real-time decision making.
“Rufus has shown that AI can guide millions of decisions in real time,” Jain said. “Construction will become more complex and the opportunities to create value will increase exponentially.”
Solving the most expensive bottlenecks in construction
Kaya is also launching the Mission-Critical Procurement (MCP) Planner™, which leverages a unique small language model fine-tuned for construction metadata that connects design intent, supplier availability, and logistics execution. Procurement delays are the number one cost and schedule driver for mission-critical projects such as data centers and advanced manufacturing facilities.
“Procurement today is chaotic and fragmented,” said Ojonimi Bako, co-founder and CEO. “With Mukesh’s leadership, Amber becomes the construction industry’s first AI knowledge worker, helping teams coordinate documents, vendors and workflows to proactively prevent delays.”
Expanding adoption across mission-critical builders
Built and designed in collaboration with industry leaders such as Suffolk, Haskell, and ARCO Murray, Kaya was named one of Cemex Ventures' Top 50 Contech Startups of 2025 after winning the Supply Chain category in its 2024 competition. Kaya's partnership model prioritizes speed, repetition, and measurable impact, accelerating adoption across mission-critical builders.
“The construction industry needs founders who understand the entire system end-to-end, not just a single workflow,” said Eric Houbry, vice president of innovation at ARCO Construction. “Kaya leadership has a holistic view of design intent, procurement, logistics, and field execution, and combines it with AI in a way that delivers step-function improvements across the industry.”
Industry leaders choose Kaya for its pace of development as well as its ability to remove operational friction in sourcing and supply chain coordination.
“Kaya's technology solves real-world, day-to-day challenges faced by construction procurement teams,” said Jonathan Miles, director of supply chain at Haskell. “It's not just about digitizing tasks; it's about connecting the dots across design, sourcing, logistics, and execution. By adapting to the way companies work and providing complete visibility into their supply chains, Kaya enables companies to strategically manage spend, reduce risk, strengthen supplier relationships, and improve alignment between teams.”
About Kaya AI
Kaya AI is a predictive supply chain intelligence platform for mission-critical construction. Kaya unifies owners, contractors, and suppliers through an AI-native project graph that provides end-to-end procurement intelligence from application to installation. Follow us on LinkedIn
Learn more at usekaya.ai and follow us on LinkedIn.
Media Contact: Nick Selz [email protected]+44 779451 3085
Source Kaya AI
