Jai Yarlagadda

Jai Yarlagadda
Occupation	Entrepreneur, software engineer
Known for	Co-founder and CTO of Mica AI
Education	University of California, Berkeley

Jai Yarlagadda is an Indian-origin entrepreneur and software engineer who is the co-founder and chief technology officer (CTO) of Mica AI, a San Francisco-based startup that develops artificial intelligence agents to automate the resolution of data quality issues in enterprise data pipelines. The company was part of Y Combinator's Summer 2024 batch.

Early life and education

Yarlagadda attended the University of California, Berkeley.

Career

Yarlagadda co-founded Mica AI in 2023 alongside Achyuta Iyengar and Bharadwaj Swaminathan. The company is headquartered in the San Francisco Bay Area.

Mica AI builds AI agents designed to replace the manual human effort involved in diagnosing and fixing bad or missing data in enterprise data pipelines. In typical data operations workflows, when errors occur that cannot be resolved through automated orchestration, retries, or monitoring, human operators must manually investigate the issues, gather context from internal documentation and external systems, and apply judgment to resolve them. Mica AI's agents are designed to perform these same tasks autonomously — gathering relevant information, reasoning across context, and resolving data errors without human intervention. The company's stated goal is to allow organizations to scale their data pipelines without proportionally increasing operations headcount.

The platform integrates with over 350 tools and services commonly used in enterprise data infrastructure, including Salesforce, Snowflake, dbt Labs, Apache Airflow, Notion, and Fivetran. The company operates in the data science, data engineering, and enterprise software sectors.

Mica AI is backed by Y Combinator, General Catalyst, and Zero Knowledge Ventures.

When the company initially launched in mid-2024, it introduced a tool that transformed sales calls into personalized video highlights aimed at improving sales cycle efficiency. The company subsequently pivoted to its current focus on automated data operations.