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empirik.ai emerges from stealth with $21 Million to build the AI Agent for Infrastructure Change
PR Newswire
SAN FRANCISCO, Sept. 2, 2026
Funding from Sequoia Capital, S32, Canapi and Alumni Ventures will expand empirik.ai’s Autonomous Infrastructure Engineer
SAN FRANCISCO, Sept. 2, 2026 /PRNewswire/ — Today, empirik.ai launched from stealth and announced $21 million in funding from Sequoia Capital, S32, Canapi Ventures and Alumni Ventures. The company is introducing the industry’s first AI agent for infrastructure change, enabling enterprises to proactively understand engineer’s intent, deterministically compute its impact and safely execute complex infrastructure at machine speed.
The rise of AI coding agents has dramatically accelerated the velocity of software creation. However, the underlying infrastructure operating model remains manual, reactive, and reliant on human-speed change review boards and ticket queues. As machines produce code at unprecedented speed, manual infrastructure governance creates a critical operational bottleneck and elevates the risk of severe production failures.
empirik.ai addresses this risk by understanding infrastructure changes and their impact before execution. Using empirik.ai, customers can answer the question, “What will happen if I make this change?” When an engineer or AI agent initiates an action from a pull request, ticket, or pipeline, empirik.ai captures the intent at the source, projects the mutation across the live environment, and computes the exact impact before anything is deployed. With a continuously updated infrastructure graph with governed execution workflows, teams can assess risk, prevent/block unsafe changes and safely move at machine speed. empirik.ai thus flips how infrastructure is managed, moving teams from reactive firefighting to proactive execution.
“Running infrastructure at Salesforce taught me that teams were always forced to choose between moving fast or staying reliable,” said Kartik Chandrayana, CEO of empirik.ai. “Now, AI coding agents are shipping software at machine speed, but infrastructure is still managed by hand. You cannot put autonomous software upstream of manual infrastructure and expect the system to hold. empirik.ai builds the living memory and operational layer for infrastructure – giving teams the ground-truth context to understand intent, evaluate risk, and safely automate operations before changes cause downtime.”
“Managing infrastructure complexity is a problem that founders Avon Puri and Sudheer Dhurjati have faced throughout their careers, and one that I am intimately familiar with from my many years at VMware,” said Bogomil Balkansky, Partner at Sequoia Capital. “That shared conviction is why Sequoia incubated empirik.ai. As AI takes over the software development process, and dramatically speeds it up, the old way of change management with service tickets and human approvals becomes obsolete. empirik.ai is the new foundation for change management at machine speed: it understands change intent and computes its potential impact before it’s executed. We couldn’t be more excited to partner with Kartik, Avon, Sudheer, and the entire team as they make proactive, autonomous infrastructure a reality.”
empirik.ai is already actively powering complex production environments across leading enterprises, including Guardant Health, Avahi Systems, TCBPay, a Fortune 50 CPG enterprise, and a Fortune 500 financial data services leader.
To learn more or request a demo, visit https://empirik.ai
About empirik.ai
empirik.ai is the AI agent for infrastructure change. By continuously modeling the complete application environment, across cloud, on-prem, Kubernetes, VMs, IAM, CI/CD, and SaaS, empirik.ai enables engineering teams to understand intent behind a change, compute its blast radius, and execute changes safely within governed workflows. This helps enterprises prevent incidents, and resolve incidents faster. Headquartered in San Francisco, empirik.ai is backed by Sequoia Capital, S32, Canapi Ventures, and Alumni Ventures. For more information, visit https://empirik.ai.
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SOURCE empirik.ai
