Dune Cuts 25% of Staff to Focus on AI and Institutional Data Products

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Dune announced layoffs of 25% of its workforce to refocus on AI-powered analytics and institutional onchain data products. CEO Fredrik Haga said the move sharpens the company’s focus on core data tools used across the crypto industry. The firm recently launched Dune MCP, an AI + crypto news enabler that connects AI agents to its blockchain data warehouse. The platform covers over 100 blockchains and provides real-time inflation data for institutional users.

Dune cut 25% of its staff this week as the crypto data platform restructures around AI powered analytics and institutional demand for onchain data.

CEO and co-founder Fredrik Haga said the layoffs are part of a move to sharpen Dune’s focus on the core data products used across the crypto industry. He said the company remains well capitalized and will focus on two major shifts: AI and institutions moving onchain.

The restructuring comes as Dune expands its AI product stack. The company recently introduced Dune MCP, a Model Context Protocol server that gives AI agents access to Dune’s data warehouse across more than 100 blockchains, decoded smart contracts, and curated datasets. The tool is designed to let users create dashboards and workflows without writing SQL or managing data infrastructure.

Dune said its broader platform supports blockchain data queries, APIs, DataShare, and dashboards across more than 100 chains. The company’s website says it serves more than 1 million users and is trusted by more than 20,000 companies, with customers including Base, OP Labs, 1inch, and Blockworks.

Haga framed the restructuring around a broader market shift as financial assets move onchain. He said Dune is investing in its data layer and higher-touch institutional services as currencies, stocks, bonds, commodities, and other assets migrate to blockchain-based rails.

The company was founded in 2018 and became one of crypto’s most widely used analytics platforms by making blockchain data searchable through public dashboards and SQL-based queries.

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