Co-founders Qian Li and Peter Kraft assume CEO and CTO roles as customer adoption validates the company’s approach to production AI reliability
SUNNYVALE, Calif., Aug. 4, 2026 /PRNewswire/ — DBOS, Inc (https://www.dbos.dev/), the company pioneering open-source durable execution for AI applications, today announced the issuance of a U.S. patent covering technologies behind its durable execution architecture as customer adoption reflects demand for reliable AI systems.
As organizations move AI agents and automated workflows into production, ensuring those workflows run reliably and transparently without losing state or execution context has become a significant challenge. While databases have long provided durability guarantees for data, many AI systems lack comparable protections for workflow execution.
DBOS addresses this challenge through durable execution, enabling AI agents and applications to automatically recover from interruptions while preserving workflow state and execution history. The company also announced that co-founder Qian Li has been appointed Chief Executive Officer and co-founder Peter Kraft has been appointed Chief Technology Officer.
Founded on open source research conducted jointly at MIT and Stanford University with leading database and distributed systems researchers, DBOS helps developers build applications that automatically recover from failures while maintaining visibility into workflow execution. Its products, including open source DBOS Transact and DBOS Conductor, simplify the development and operation of AI applications, automated workflows, data pipelines, and business-critical services.
Customer Adoption Validates Durable Execution Approach
During the past year, organizations have adopted DBOS to support AI systems, automated workflows, and business-critical applications.
As software becomes increasingly autonomous, developers are seeking ways to ensure applications recover automatically from failures rather than requiring manual intervention or custom recovery logic.
Unlike approaches that require developers to assemble multiple infrastructure components, DBOS uses a PostgreSQL-backed architecture that enables applications to recover automatically from interruptions while maintaining complete execution history.
Earlier this year, DBOS announced a technology partnership with Databricks to integrate durable execution capabilities with Databricks Lakebase, helping developers build more reliable and auditable AI systems.
Today, DBOS supports hundreds of customers, from AI-native startups to Fortune 100 companies, running billions of workflows per month. Customers report benefits ranging from simplified infrastructure and faster development cycles to improved reliability and reduced downtime.
“Our business isn’t like social media where a dropped like on a video could go unnoticed. One missed or even late transaction can mean tens of thousands of dollars to our customer. Reliability is non-negotiable,” said Piers MacDonald, Chief Technology Officer at Orderful. “Our platform runs the EDI transactions that keep supply chains moving, so we can’t afford workflows that lose their place when something goes wrong. Prior to DBOS we spent a lot of engineering time building bespoke solutions on top of traditional messaging architecture to mimic the durable execution DBOS provides natively. Now with it we get behavior in a battle-hardened system that guarantees every transaction picks back up exactly where it left off and lets us focus on delivering more customer value. The cherry on top is the elegance of the solution, being built on top of Postgres fit into our stack with minimal lift and maintenance. From an application architecture point of view this now seems as essential to me as web frameworks and runtimes.”
Patent Protects Technologies For Reliable Application Execution
The company received U.S. Patent No. US 12,625,863 B1, titled “DATABASE-CENTRIC OPERATING SYSTEM FOR DURABLE WORKFLOW,” covering technologies behind the DBOS platform.
The patent protects DBOS’s architecture for using the relational database itself as the workflow engine: persisting execution state, recovering automatically from failures, and maintaining consistent execution across distributed applications.
The innovations reflect years of research applying principles of durability and recovery long established in database systems to modern cloud and AI applications.
“Developers shouldn’t have to reinvent reliability every time they build an application,” said Kraft. “Our goal is to make fault tolerance and recoverability part of the platform itself.”
Founder Leadership For The Next Stage Of Growth
Li will lead company strategy, growth, and partnerships. Kraft will oversee product architecture, engineering, and future product development.
The appointments reflect the company’s evolution from Stanford research into a commercial platform used by organizations building production AI systems.
“Organizations are moving AI applications from experimentation into production, and the expectations are changing,” said Li. “Businesses need systems they can trust to complete work reliably and recover when problems occur. The adoption we’re seeing reflects recognition that reliability needs to be built into AI applications from the start. This transition prepares DBOS for its next stage of growth as we expand our reach and continue investing in the durable workflow orchestration category.”
“The database industry spent decades ensuring that data survives failures,” said Michael Stonebraker, database pioneer and DBOS co-founder. “Today’s AI applications face a similar challenge. They need execution that survives system failures and human error. Durable execution extends to AI agents many of the same reliability principles that made databases a foundation of modern computing.”
About DBOS, Inc.
DBOS is radically simplifying the way AI and cloud applications are built, deployed, and secured. Based on 3 years of joint MIT-Stanford research and used by leading AI startups and Fortune 100 companies alike, the DBOS open source durable AI workflow orchestration system accelerates development and saves engineering teams millions of dollars’ worth of time and outmoded infrastructure. To learn more about DBOS, follow DBOS on LinkedIn, YouTube, and Discord.
Andy Ellicott
[email protected]
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SOURCE DBOS, Inc.
