Customer Stories

Walmart integrated DBOS into its internal agentic AI framework to ensure agents are reliable and observable by default.

Migrated the Notion Mail async job system off of BullMQ and onto DBOS. Executing 190M durable workflows per day, peaking at 5K per second. The migration reduced daily AWS costs by $11K per day

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.

Orderful is modernizing EDI for retail, logistics, and supply chain. Orderful replaced RabbitMQ with DBOS to run 2 million transaction processing workflows a day.

DBOS ensures backend AI CRM workflows execute reliably and with full observability amid software updates, system failures, and unpredictable humans in the loop.

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.

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.

FlowGen Labs selected DBOS over Temporal to make long-lived workflows durable and observable within the rigid security constraints of customer environments, including air-gapped deployments.

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