AI Workflows & Architecture with DBOS & ZTRON

Join us at the Antler VC SF Office for presentations and panel discussions with DBOS and ZTRON. Come learn how to design and scale your AI workflows using DBOS and AWS.

Qian Li, Stanford CS PHD, cofounder of South Bay Systems (tech talks), and cofounder / architect at DBOS

Paul Iusztin, co-author of the LLM Engineer's Handbook, founder of Decoding AI magazine, and founding AI engineer at ZTRON.

Jona Rodrigues, expert in Agentic-RAG, Workflows, and LLMOps, with 15 years of AI/ML experience, cofounder at ZTRON.

DBOS is lightweight library that brings durable workflows, queues, and scheduling to your app without running an external orchestrator. Ideal for background jobs, data/AI pipelines, and event processing, DBOS lets teams ship resilient systems fast—no re-architecture required.

ZTRON is building the first agentic hub for client relationship management, executing agentic workloads in financial services. ZTRON triples client capacity and cuts operational overhead by 80%. ZTRON uses DBOS and will present on their use case plus unique MCP architecture.

The first 30 minutes will be meet & greet with refreshments.