See how developers are using DBOS durable execution & workflow orchestration to build quality software faster.











































































Walmart integrated DBOS into its internal agentic AI framework to ensure agents are reliable and observable by default.
DBOS chosen to make lab automation workflows reliable and durable, running on Kubernetes in diverse computing environments, including multi-region.
Yutori.ai has launched an autonomous AI system hosted on DBOS due to its proven ability to ensure durable AI workflow execution at scale.
Reliable and observable genomic sequencing data pipelines. Parallel processing enabled by DBOS durable queueing improved pipeline performance 40x, at a fraction of the cost.
AI video generation. Leveraging DBOS workflows and queues to reliably execute AI video generation and reasoning workflows in a distributed environment.
AI lab automation workflows in an air-gapped environment. Selected DBOS for architectural simplicity and ease of deployment into lab environments disconnected from the web.
Supply chain EDI automation workflows. DBOS was selected over competitors for reliable EDI message delivery, including multi-region workflows.
Agentic AI for accounts receivable. Selected DBOS to orchestrate durable payment workflows without sensitive data leaving the premises, and without critical-path dependency on external orchestration services.
Goblins applies agentic AI for personalized 1:1 math tutoring for students. Goblins switched from Inngest to DBOS to simplify development and improve workflow performance.
An agentic AI system that transforms codebases into living knowledge bases for software teams. DBOS durable execution and queuing makes the system reliable and observable for the 50,000 software projects that use Dosu.
DBOS workflows deploy thousands of isolated Palantir software stacks per day to Palantir trainees.
Agentic AI for medical follow-up. Riviera uses DBOS to orchestrates durable, observable multi-channel communication and AI assistance workflows for small medical practices on Google CloudRun.
Soria AI turns messy, public datasets into a single, trusted intelligence layer for investors and operators. DBOS durable execution and queuing make these pipelines reliable, observable, and easy to scale.
Using DBOS to minimize coding complexity and time to market for cStructure causal inference system. DBOS durable execution architecture made it easy to ensure life science data privacy.
"I love the design of DBOS. If you're a gamer, it's like having a “save point” in your programs. If a function fails, a new function starts, picking up at the last checkpoint." - Paul Copplestone, CEO
“What took us 2 months to build using a labyrinth of AWS resources took just 2 days on DBOS Cloud.” - Thomas McNally, VP Technology

Helping more devs, AI engineers, and SREs orchestrate fault-tolerant workflows.

"We've been impressed by how lightweight and flexible DBOS is, the speed at which their team ships, and the level of support offered. We, at Yutori, are happy customers and excited to scale with DBOS."

CEO & Co-founder

“DBOS makes it dead simple for our engineering team to build reliable, low-latency, AI-powered user experiences."

CTO and Co-founder
"I love the design of DBOS. If you're a gamer, it's like having a “save point” in your programs. If a function fails, a new function can start, picking up at the last checkpoint."

CEO & Co-Founder

“DBOS is really simple to manage. It gives us durable orchestration and observability without a lot of coding and without having to run additional infrastructure.”

CEO and Co-founder
“We looked at Google Workflows, Temporal, Airflow and Celery but DBOS was the one framework that solved many pieces of the puzzle while giving us implementation flexibility.”

Engineer

"DBOS makes it impossible to screw up."

CTO and Co-founder

"We've been impressed by how lightweight and flexible DBOS is, the speed at which their team ships, and the level of support offered. We, at Yutori, are happy customers and excited to scale with DBOS."

CEO & Co-founder

“DBOS makes it dead simple for our engineering team to build reliable, low-latency, AI-powered user experiences."

CTO and Co-founder
"I love the design of DBOS. If you're a gamer, it's like having a “save point” in your programs. If a function fails, a new function can start, picking up at the last checkpoint."

CEO & Co-Founder

“DBOS is really simple to manage. It gives us durable orchestration and observability without a lot of coding and without having to run additional infrastructure.”

CEO and Co-founder
“We looked at Google Workflows, Temporal, Airflow and Celery but DBOS was the one framework that solved many pieces of the puzzle while giving us implementation flexibility.”

Engineer

"DBOS makes it impossible to screw up."

CTO and Co-founder

"We've been impressed by how lightweight and flexible DBOS is, the speed at which their team ships, and the level of support offered. We, at Yutori, are happy customers and excited to scale with DBOS."

CEO & Co-founder

“DBOS makes it dead simple for our engineering team to build reliable, low-latency, AI-powered user experiences."

CTO and Co-founder
"I love the design of DBOS. If you're a gamer, it's like having a “save point” in your programs. If a function fails, a new function can start, picking up at the last checkpoint."

CEO & Co-Founder

“DBOS is really simple to manage. It gives us durable orchestration and observability without a lot of coding and without having to run additional infrastructure.”

CEO and Co-founder
“We looked at Google Workflows, Temporal, Airflow and Celery but DBOS was the one framework that solved many pieces of the puzzle while giving us implementation flexibility.”

Engineer

"DBOS makes it impossible to screw up."

CTO and Co-founder