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Introducing Cursor Benchmark Partners

Toni Adams3 min read
Cursor Benchmark Partners logos: AWS, BCG, Databricks, McKinsey, NVIDIA, and Snowflake

Together with Cursor, Amazon Web Services (AWS), BCG, Databricks, McKinsey, NVIDIA, and Snowflake deliver best-of-breed technology and services to help customers transform their businesses through AI.

Today, we are announcing Cursor Benchmark Partners, a global cohort of six strategic partners working with Cursor to help enterprises adopt AI and transform how software is built.

Together, the Cursor Benchmark Partners provide customers with a referenceable AI adoption stack that enables and sustains AI productivity within the enterprise.

Cursor Benchmark Partners represents a broad cross-section of leading technology, infrastructure, data, and services firms in the frontier AI space. Their commitment is to invest in capabilities such as forward-deployed engineering capacity, research, thought leadership, and best-practice sharing with CxOs on the transformation journey to successfully adopt AI in the enterprise.

AI-driven SDLC adoption transformation requires combining best-in-class technology with the organizational transformation needed to achieve the expected business impact. Each Benchmark Partner adds distinct value to the organization’s AI adoption journey, from adopting to transforming how teams create software in the agentic SDLC to enabling trusted, contextual, governed, and secure data access to AI and operating and running an agentic environment at scale.

AI transformation and adoption: BCG and McKinsey

AI-driven SDLC adoption leads organizations to transform how teams are organized, how software is built, and how the new AI tools and processes become part of the workflow to maintain AI productivity gains. BCG and McKinsey help organizations through this transformation and ensure maximum AI productivity.

As organizations embrace agentic software development, success depends on changing how engineering teams operate, not simply deploying new tools. Together with Cursor, we are helping organizations transform how software is built by pairing agentic coding and harnessing engineering techniques. BCG has deep expertise in training and coaching engineering teams, equipping them with the capabilities and ways of working needed for effective adoption and lasting business value.

Matthew Kropp
Managing Director and Senior Partner at BCG and Chief AI Officer at BCG X, BCG

AI-driven software development is critical to broad value creation from AI. Whether it's to optimize internal workflows, deliver new customer solutions, or drive growth efforts, engineering capacity and capability quickly become the bottleneck to scaling change across the business. Combining Cursor’s agentic platform with McKinsey's SoftwareX practice—from AI-native PDLC redesign and proof-of-value to designing the e2e engineering systems that are needed to scale—helps clients turn isolated gains into measurable enterprise impact and competitive differentiation.

Martin Harrysson
Senior Partner and leader of the SoftwareX practice, McKinsey & Company

Context and governance: Databricks and Snowflake

Safe and effective agentic software development depends on trusted data, context, and governance, such as permissions and lineage, that determine what a coding agent is allowed to see and do. Databricks and Snowflake help organizations make that data and context available in a governed environment so teams can build with AI.

The real unlock for AI coding agents is enterprise context. Cursor gives developers a powerful agentic workflow, and Snowflake brings the governed data, business logic, permissions, and lineage those agents need to be trusted in production. Together, we can help joint customers move faster while maintaining enterprise standards.

Vivek Raghunathan
SVP of Engineering, Snowflake

Databricks is where enterprises put AI to work on their own data. It's the same foundation that powers Genie, which thousands of organizations rely on to turn business data into trusted answers and actions. Companies are rapidly building software with AI, and we're thrilled to partner with Cursor to accelerate this transition. Together, we're ensuring enterprises can adopt and scale AI with absolute confidence, backed by the rigorous governance and seamless tooling that defines the Databricks platform.

Ron Gabrisko
Chief Revenue Officer, Databricks

Accelerated cloud and deployment: AWS and NVIDIA

Cursor’s agentic SDLC redefines how software gets built. The software, built with NVIDIA accelerated computing and open libraries, needs to run securely, reliably, and cost-effectively at scale, and AWS and NVIDIA provide the compute and cloud infrastructure customers need to deploy it across the enterprise.

Cursor is used across our Engineering environment and is accelerating how we build at NVIDIA. By sharing our breakthroughs with our partners and customers, NVIDIA and Cursor will supercharge how enterprises build and run agentic development at scale.

Pat Lee
Vice President, Strategic Enterprise Partnerships, NVIDIA

Cursor Benchmark Partners is the first step in Cursor’s broader partner strategy. We’ll share more about the expanding Cursor Partner Network later this year.

If you're evaluating how to adopt and deploy agentic software development with Cursor and the Cursor Benchmark Partners, please talk to our team.

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Author: Toni Adams