Sequoia-Incubated Empirik Launches With $21M Seed Round to Predict IT Outages

Empirik, an artificial intelligence startup incubated within Sequoia Capital, has officially launched as an independent company after securing $21 million in seed financing. The company has developed a platform aimed at helping infrastructure engineers anticipate and avert technology outages before systems go down.

What Happened

The concept behind Empirik originated three years ago with Avon Puri, who joined Sequoia Capital in 2020 as chief digital and information officer following more than a decade managing infrastructure at Rubrik and VMware, and Sudheer Dhurjati, another Sequoia IT leader. Observing the evolution of large language models, the two tech executives identified an opportunity to apply artificial intelligence to infrastructure management. Instead of diagnosing failures after downtime occurs, they designed a system to track operational adjustments and predict their ripple effects across entire digital environments.

Sequoia incubated the venture in 2023. Earlier this year, the firm brought in Kartik Chandrayana, formerly the chief product officer at Quantum Metric and vice president of observability at Salesforce, to lead Empirik as chief executive officer. On Tuesday, Empirik announced its spinout alongside a $21 million seed funding round backed by Sequoia Capital, Canapi, and Alumni Ventures.

Key Highlights

• Founding and Leadership: Conceived by Sequoia IT leaders Avon Puri and Sudheer Dhurjati, with former Salesforce observability executive Kartik Chandrayana serving as CEO.
• Capital Raised: $21 million in seed funding provided by Sequoia Capital, Canapi, and Alumni Ventures.
• Core Technology: Acts as an autonomous system that permits low-risk updates, enforces guardrails on mid-tier changes, and flags high-risk modifications for engineer review.
• Early Adoption: Customers already include enterprise and startup clients, such as S&P Global, Guardant Health, and an unnamed major consumer packaged goods company.
• Market Position: Designed as a complementary layer alongside AI site reliability engineering platforms like Resolve and Traversal.

Why This Matters

Maintaining continuous system uptime represents a major operational expense for enterprises. According to Sequoia partner Bogomil Balkansky, traditional observability software frequently struggles to comprehend intricate dependencies within large environments. Empirik positions itself as a dedicated mechanism to follow change events across these footprints, functioning similarly to an autonomous traffic controller that relieves site reliability and DevOps teams from repetitive troubleshooting.

With artificial intelligence tools accelerating the creation and deployment of software, tracking structural system changes has grown increasingly critical. Company leadership noted that Empirik aims to provide infrastructure engineers with the same autonomous efficiency gains that coding assistants like Cursor and Claude Code brought to software developers.

What to Watch Next

Following its launch and capital injection, Empirik is deploying its autonomous change-tracking tools across broader enterprise environments. The market will watch how the platform integrates with complementary AI site reliability engineering platforms, including Resolve and Traversal, as organizations attempt to curb downtime caused by rapid code deployment.

Frequently Asked Questions

What does Empirik do?

Empirik is an observability and infrastructure tool that maps system changes and anticipates their ripple effects across complex IT environments, aiming to prevent outages autonomously before they impact operations.

Who provided the seed funding for Empirik?

The startup raised $21 million in seed capital from Sequoia Capital, Canapi, and Alumni Ventures.

How does Empirik handle system updates?

The platform autonomously evaluates modifications across infrastructure by permitting low-risk adjustments, applying guardrails to larger operations, and escalating high-risk changes to human engineers for review.

Source: TechCrunch