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Funding from Sequoia Capital, S32, Canapi and Alumni Ventures will magnify empirik.ai’s Self reliant Infrastructure Engineer
SAN FRANCISCO, Sept. 2, 2026 /PRNewswire/ — Nowadays,
The upward thrust of AI coding agents has dramatically accelerated the velocity of tool creation. On the opposite hand, the underlying infrastructure operating model stays handbook, reactive, and reliant on human-velocity change overview boards and label queues. As machines manufacture code at phenomenal velocity, handbook infrastructure governance creates a first-rate operational bottleneck and elevates the threat of severe manufacturing screw ups.
empirik.ai addresses this threat by opinion infrastructure adjustments and their impact sooner than execution. Utilizing empirik.ai, possibilities can solution the request, “What’s going to happen if I strive this transformation?” When an engineer or AI agent initiates an action from a pull expect, label, or pipeline, empirik.ai captures the intent at the source, initiatives the mutation across the live ambiance, and computes the true impact sooner than something is deployed. With a continuously as a lot as this level infrastructure graph with governed execution workflows, groups can assess threat, prevent/block unsafe adjustments and safely walk at machine velocity. empirik.ai thus flips how infrastructure is managed, interesting groups from reactive firefighting to proactive execution.
“Running infrastructure at Salesforce taught me that groups had been continuously compelled to effect a want from interesting swiftly or staying decent,” said Kartik Chandrayana, CEO of empirik.ai. “Now, AI coding agents are transport tool at machine velocity, nonetheless infrastructure is soundless managed by hand. You cannot save self reliant tool upstream of handbook infrastructure and request the system to preserve. empirik.ai builds the dwelling memory and operational layer for infrastructure – giving groups the ground-truth context to attain intent, overview threat, and safely automate operations sooner than adjustments position off downtime.”
“Managing infrastructure complexity is a field that founders Avon Puri and Sudheer Dhurjati possess confronted all one of the best plan through their careers, and individual who I’m intimately conversant in 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 tool vogue process, and dramatically speeds it up, the weird and wonderful manner of change administration with service tickets and human approvals turns into weird and wonderful. empirik.ai is the recent foundation for change administration at machine velocity: it understands change intent and computes its doubtless impact sooner than it’s carried out. We couldn’t be more angry to accomplice with Kartik, Avon, Sudheer, and the entire team as they effect proactive, self reliant infrastructure a truth.”
empirik.ai is already actively powering complicated manufacturing environments across main enterprises, including Guardant Health, Avahi Programs, TCBPay, a Fortune 50 CPG conducting, and a Fortune 500 financial recordsdata products and companies leader.
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About empirik.ai
empirik.ai is the AI agent for infrastructure change. By continuously modeling the total application ambiance, across cloud, on-prem, Kubernetes, VMs, IAM, CI/CD, and SaaS, empirik.ai enables engineering groups to attain intent gradual a transformation, compute its blast radius, and put adjustments safely interior governed workflows. This helps enterprises prevent incidents, and unravel incidents sooner. Headquartered in San Francisco, empirik.ai is backed by Sequoia Capital, S32, Canapi Ventures, and Alumni Ventures. For more recordsdata, seek suggestion from
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