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Bolt.new buys Dokai to bolster enterprise AI agents

Bolt.new buys Dokai to bolster enterprise AI agents

Mon, 12th Oct 2026 (Today)
Joseph Gabriel Lagonsin
JOSEPH GABRIEL LAGONSIN News Editor

Bolt.new has acquired San Francisco startup Dokai. Terms were not disclosed.

The deal is Bolt.new's first acquisition and brings Dokai's co-founders and agent orchestration technology into the company as it expands its enterprise business.

Dokai built autonomous AI agents for go-to-market workflows, including prospect research, account tiering, data enrichment, and customer relationship management tasks. Bolt.new cited the team's experience deploying agents inside enterprise systems as a key reason for the purchase.

Bolt.new, built by StackBlitz, said about half of its enterprise customers begin building applications before signing a contract. The average customer deploys a first app within 34 days, it said.

The companies share a view that natural language can replace code as the main interface between people and software workflows. Bolt.new applies that approach to full-stack web application development, while Dokai applied it to enterprise sales operations.

As part of the transaction, Dokai's technology will be integrated into the Bolt.new platform. The orchestration layer was designed to let agents plan and complete multi-step work inside enterprise systems without a person in the loop.

Bolt.new expects the technology to improve how its agents handle more complex, longer-running software builds. It also expects the integration to strengthen links between customer-built applications and existing business systems, including customer relationship management platforms and internal data sources.

Enterprise focus

The deal comes as competition intensifies among AI software providers seeking to move beyond chat interfaces into systems that can carry out tasks across business applications. For companies selling to large organisations, integration with established software and data tools has become a central issue.

Eric Simons, Chief Executive Officer and Co-Founder of Bolt.new, said Dokai's work in production environments helped shape the acquisition.

"Enterprise buyers don't care whether an agent demos well. They care whether it does the work every day, inside the systems they already run. The Dokai team has been doing exactly that, and it's why we wanted them building with us," said Simons.

Dokai was founded in San Francisco by Gerry Fernando Patia and Rio Atmadja. The startup initially focused on teaching AI to learn enterprise workflows through demonstration before shifting to an AI go-to-market engineering platform for enterprise sales teams.

Its agents were used for multi-step workflows spanning prospect research, account prioritisation, tiering, data enrichment, and customer relationship management operations. Bolt.new said that experience operating inside enterprise software was what it wanted to add to its own AI and machine learning organisation.

Team joins

Gerry Fernando Patia and the wider Dokai team will join Bolt.new as part of the acquisition. The addition deepens the team working on its AI agents, Bolt.new said.

Patia said the rationale for joining Bolt.new was tied to the broader use of natural language interfaces in software.

"We built Dokai on the belief that natural language could run production workflows inside enterprise systems. Joining Bolt.new gives that belief the biggest canvas there is: software itself," said Patia.

Bolt.new said new autonomous and multi-step agent functions based on Dokai's technology are due to be added to its platform later in the autumn. The planned features are intended to connect directly with enterprise systems, including customer relationship management tools and internal databases.

The transaction points to a broader shift in the AI software market, as companies that began with coding assistance or chatbot tools try to embed agents more deeply into operational systems. In that market, value increasingly rests not only on generating responses, but on carrying out work inside the software businesses already use.