Sift Raises $42 Million Series B

by Kay Aloha Villamor in March 26th, 2026

Sift, an El Segundo, CA-based intelligence layer for mission-critical machines, has raised $42 million in Series B funding, bringing its total raised to $67 million.

Investors 

The round was led by StepStone Group, with participation from GV (Google Ventures), Riot Ventures, Fika Ventures, and CIV. 

StepStone is a global private markets investment firm that provides customized investment solutions, advisory services, and data offerings. It operates as an asset manager across private equity, real estate, private debt, and infrastructure. The firm’s business model focuses on integrating fund investments, secondaries, and co-investments to help institutional and private wealth investors build portfolios. As of late 2025, the company manages approximately $220 billion in assets under management (AUM). 

Sift Use of Funds 

The company will use the funds to expand its engineering team, scale its platform, and build infrastructure for AI-controlled hardware systems across multiple industries. 

About Sift 

Led by CEO Karthik Gollapudi, Sift is an AI infrastructure company that provides an intelligence layer for mission-critical machines, enabling both engineers and AI systems to interpret and act on complex hardware data. The company’s unified data platform allows engineers to develop, validate, and operate the machines of the future. Its platform transforms raw sensor data from systems such as rockets, satellites, and autonomous vehicles into structured, queryable datasets, enabling real-time monitoring, anomaly detection, and performance optimization. Headquartered in El Segundo, California, trusted by ULA, Astranis, K2 Space, Parallel Systems, and undisclosed enterprise defense programs. 

Funding Details 

Company: Sift 

Raised: $42.0M 

Round: Series B 

Funding Date: March 2026 

Lead Investor: StepStone 

Additional Investors: GV, Riot Ventures, Fika Ventures, CIV 

Company Website: https://www.siftstack.com/  

Software Category: AI Infrastructure / Hardware Observability 

Source: Sift

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