DBOS provides durable workflow orchestration that makes AI systems and business logic resilient to failure through built-in observability and human-in-the-loop control. Developers integrate fault-tolerant execution and durable queues directly into existing code using simple annotations, eliminating the need for new infrastructure. The platform ensures reliable execution, automatic recovery from crashes, and real-time monitoring for complex, long-running tasks.
Funding
$8.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Building reliable cloud-native applications often involves complex infrastructure management, leading to increased development time and costs. Traditional cloud infrastructure can be inefficient due to idle CPU costs and complicated deployment processes.
Solution
DBOS is a serverless platform designed to streamline the development of highly reliable applications. It allows developers to focus on business logic, while DBOS handles the underlying infrastructure, ensuring resilience to failures through durable workflows and automatic retries. The platform's serverless architecture eliminates the need to pay for idle CPU time, reducing operational costs. DBOS simplifies deployment with a one-click process, enabling applications to scale to millions of users automatically.
Target Audience
DBOS targets developers and organizations seeking a faster, more cost-efficient way to build and deploy reliable cloud-native applications.
Features
- Durable workflows with branching, looping, subtasks, and automatic retries
- Scheduled workflows for cron jobs, hosted serverlessly
- Resilient data pipelines with durable queues for guaranteed task completion
- Kafka event processing with exactly-once message consumption
- Webhooks and notifications with idempotent and durable execution
- One-click serverless deployment
- Compatibility with Python, TypeScript, and Postgres