We help companies turn customer insights into better product and portfolio decisions, accelerate development with AI, optimize products through Cost Engineering to meet cost and margin targets, and build world-class R&D organizations.
Case Studies
How we combine R&D and AI to achieve impact with our clients
Cleansheet has enabled significant impact to clients across multiple industries, including industrials, retail, and telecom.
Our Assets
Proprietary tools and assets
We pair deep expertise with proprietary tools, labs, and AI—spanning Design-to-Value, digital twins, and advanced analytics—to help you accelerate development, reduce cost, and bring better products to market.
Balance what customers truly want with cost and technical constraints using global labs, gen AI co-pilots, and product digital twins—McKinsey's approach to design to cost consulting, grounded in what customers actually value.
Apply Deep Learning Surrogates (DLS) and generative AI to run engineering simulations up to 100x faster, speed concept generation, and embed AI across the product-development lifecycle.
Support innovation and renovation for food and beverage companies with sensory testing, ingredient formulation, product teardowns, and dedicated kitchen lab space at our Atlanta Design Lab - get in touch.
How we help clients
We partner with organizations to lead R&D transformation consulting end to end—from product strategy through execution—building competitive advantage and helping you develop the right products at the right cost.
Leads McKinsey’s Advanced Industries in India, and is a leader in our global Operations and Advanced Industries Practices
Upcoming Events
Events Recap
2026 R&D Leaders Forum Event Recap
Rewiring R&D for the age of agentic AI
Agentic AI is transforming research and development (R&D), promising significant acceleration and economic value, but widespread scalable impact remains limited due to organizational challenges rather than AI technology itself. Leaders recognize the need for redesigning workflows, data foundations, and operating models to fully harness AI’s potential.
As a collaborative partner, AI is becoming an accelerator of product development, a transformer of product ideation and concept testing, and a force multiplier for engineers and R&D teams.
James Zou, an associate professor of machine learning at Stanford University, discusses the role of AI scientists in biotech, pharmaceutical discovery, immunology, and more.
AI holds the power to accelerate innovation in R&D, but realizing its potential will demand that organizations rethink how they work and overcome the barriers to adoption.
EXPLORE RELATED CAPABILITIES
End-to-end support across the product journey
Product development rarely stands alone. Explore the McKinsey capabilities we bring together to drive transformation across the full product lifecycle.