By Nila Kartika Wati 
In the high-stakes world of modern cloud computing, system downtime is more than a technical nuisance—it is a massive financial and reputational liability. As software development cycles accelerate under the pressure of generative AI, the complexity of managing digital infrastructure has outpaced the capabilities of traditional monitoring tools.
Enter Empirik, a startup emerging from stealth with a $21 million seed round and a bold mandate: to shift infrastructure engineering from a reactive, firefighting discipline to a proactive, autonomous operation. By acting as an "autonomous traffic cop" for system changes, Empirik is positioning itself to become the standard-bearer for a new category of observability.
The Genesis: Solving the "Ripple Effect" Problem
The story of Empirik began three years ago, born from the front-line experiences of Sequoia Capital’s own leadership. Avon Puri, who joined Sequoia in 2020 as Chief Digital and Information Officer, brought over a decade of infrastructure expertise from industry heavyweights Rubrik and VMware. Working alongside Sequoia IT leader Sudheer Dhurjati, Puri observed a recurring bottleneck: the sheer unpredictability of how a single change—a configuration tweak or a patch—could trigger a catastrophic cascade of failures across a complex environment.
As large language models (LLMs) began to demonstrate their potential for complex reasoning, Puri and Dhurjati realized they had the key to a long-standing industry white whale. Instead of simply providing alerts after a system breaks, they envisioned an AI-driven system capable of predicting failure before it occurs.
This vision culminated in the creation of Empirik, a platform designed to map system changes and infer their potential ripple effects. By analyzing dependencies across an entire stack, the platform identifies high-risk maneuvers, sets automated guardrails, and suggests preventative measures, fundamentally changing the way site reliability engineers (SREs) interact with their systems.
Chronology: From Concept to Independent Startup
The journey of Empirik is a study in efficient venture incubation.
- 2021–2022 (The Incubation Phase): Puri and Dhurjati formalize the concept of Empirik within the Sequoia ecosystem, testing the thesis that AI could act as an autonomous infrastructure engineer.
- 2023 (Development): Sequoia officially incubates the startup, providing the resources and engineering talent necessary to turn a theoretical model into a functional product.
- Early 2024 (Leadership Consolidation): Recognizing the need for a seasoned operator to guide the product to market, Sequoia recruits Kartik Chandrayana—formerly the Chief Product Officer at Quantum Metric and VP of Observability at Salesforce—to serve as Empirik’s CEO.
- Late 2024 (The Spin-Out): After proving the platform’s efficacy with a select group of early adopters, Empirik officially announces its spin-out as an independent entity, supported by a $21 million seed round led by Sequoia, with participation from Canapi and Alumni Ventures.
The Technology: An Autonomous "Traffic Cop" for the Cloud
At its core, Empirik represents a departure from traditional observability tools, which are largely passive. Current tools tell you that something is broken; Empirik tells you what will break before you commit the change.
How it Works
Empirik functions by ingesting telemetry data and change logs, creating a dynamic map of system dependencies. When an engineer initiates a change, the platform runs a simulation of that change’s impact across the entire architecture.
Sequoia partner Bogomil Balkansky describes the platform as an "autonomous traffic cop." In practice, this means:
- Low-Risk Changes: The platform automatically approves and clears routine updates, removing friction for DevOps teams.
- Guardrail Implementation: For moderately complex changes, the system applies safety parameters to ensure the update doesn’t breach operational thresholds.
- Human-in-the-Loop: For high-risk, dangerous updates, the platform flags the change for human review, providing the engineer with a detailed risk assessment before they hit "deploy."
The "Agentic" Shift
Empirik is part of a growing wave of "agentic" software that seeks to replace rote manual labor with autonomous decision-making. As CEO Kartik Chandrayana notes, the goal is to do for infrastructure engineers what tools like Cursor and Claude Code have done for software developers: eliminate the "grunt work" of troubleshooting to allow engineers to focus on higher-level architectural innovation.
Market Implications: Why Infrastructure Observability is Evolving
The current observability market is crowded with platforms like Datadog, New Relic, and Splunk. However, these tools are often criticized for their "dashboard fatigue"—providing engineers with thousands of data points without providing actionable intelligence.
Empirik’s arrival highlights a shift in the market toward Context-Aware Observability.
Filling the Gap
Most traditional tools fail to understand the complex, non-linear dependencies that define modern microservices architectures. When an outage occurs, engineers are often left sifting through mountains of logs to find the "needle in the haystack." Empirik avoids this by focusing on the change as the primary variable, arguing that most outages are, in fact, the result of human-induced changes.
Competitive Landscape
While platforms like Resolve and Sequoia-backed Traversal are making strides in AI-driven SRE, Balkansky argues that Empirik is currently in a category of its own. Rather than replacing these existing tools, Empirik acts as a "complementary layer." It provides the governance and risk-assessment framework that sits on top of existing monitoring data, effectively turning raw metrics into actionable policy.
Supporting Data: Traction and Industry Need
Since its soft launch earlier this year, Empirik has seen rapid adoption, signaling a strong product-market fit. The platform is already being used by a diverse range of companies, from agile startups to massive Fortune 500 organizations, including healthcare giant Guardant Health and a major consumer packaged goods (CPG) conglomerate.
The industry need is clear. According to recent surveys by the DevOps Institute, "infrastructure complexity" remains the number one challenge for engineering teams. With the acceleration of software delivery pipelines—often deploying updates dozens of times per day—the margin for error has shrunk to nearly zero. Empirik addresses this by ensuring that the speed of deployment does not come at the cost of system stability.
Official Responses and Strategic Outlook
The leadership at both Sequoia and Empirik are bullish on the company’s potential to redefine the SRE workflow.
Kartik Chandrayana, CEO of Empirik:
"What agentic AI did for software, Empirik wants to do for infrastructure engineering. We are moving from a world where engineers spend 70% of their time fixing things to a world where they spend 90% of their time building, with the system handling the stability and reliability aspects autonomously."
Bogomil Balkansky, Partner at Sequoia Capital:
"There has always been a lot of money spent in keeping systems up and running. Most existing observability tools fail to understand complex system dependencies. Empirik is one of the first dedicated tools focused on tracking changes across massive environments. By providing a layer of intelligence that understands the ripple effects of every action, we are giving teams the confidence to move faster without fear of catastrophic downtime."
Looking Ahead: The Future of Autonomous Infrastructure
As Empirik moves into its next phase as an independent company, the roadmap is focused on scaling its predictive capabilities. The $21 million funding injection will be used to expand the engineering team, deepen the platform’s integration with major cloud providers (AWS, Azure, and Google Cloud), and refine the AI models that underpin its risk-assessment engine.
The ultimate vision for Empirik is a "self-healing" infrastructure. If a system can predict a failure, it can theoretically suggest a fix—or eventually, perform the remediation itself. While we are not yet at the stage of fully autonomous data centers, the industry is moving rapidly in that direction.
Empirik is betting that the future of infrastructure isn’t just about better monitoring; it’s about better management. By aligning the interests of speed and stability through AI, the company is positioning itself to be an indispensable utility in the modern tech stack. For the thousands of DevOps engineers currently on-call at 3:00 AM, the arrival of such a tool is not just a technological advancement—it is a long-awaited reprieve.
Sagoh 
Iffa Jayyana 
Lina Hope 