DAGWorks Inc.

DAGWorks Inc.

Open source tools & services for reliable AI Agents & AI Applications

San Francisco
2 employees
AIOps
Pre-seed · $500K

About DAGWorks Inc.

We’re on a mission to enable everyone to build reliable AI agents & AI applications. We're fully open source, and provide a unique integrated development & observability experience for those building anything in the AI space. This is the first step towards laying the foundations for Composable AI Systems; all AI systems need observability and introspection to be first class for them to be reliable.

How? We're standardizing how people write python to express data, ML, LLM, & agent workflows/pipelines/applications with lightweight frameworks. So that no matter the author, it'll be easy to collaborate, connect, and importantly in one line integrate observability and datastore needs. This speeds up time to production and reduces TCO because code remains easy to maintain and your data flywheel stays manageable. So you can increase the top line & bottom line of your business by delivering on AI that is reliable.

We've got two open source projects:

Both Hamilton & Burr come with self-hostable UIs (+ enterprise & SaaS offerings). With a one-line code change, you get versioning, lineage / tracing, cataloging, and observability out of the box with Hamilton. With Burr you get tracing, observability and persistence in a single line addition.

Company details

Team Size2
LocationSan Francisco
IndustryAIOps

Funding

Total raised

$500K

Last stage

Pre-seed

Investors

Y Combinator
OOther People's Capital (OPC)
FFirestreak Ventures

Founders

Elijah ben Izzy

Elijah ben Izzy

Elijah has spent his career building tools for Data Scientists, Quantitative-minded engineers, and AI researchers. Prior to founding DAGWorks, Inc., Elijah built out Stitch Fix's machine learning platform, which was used and loved by over 100 data scientists. A core component of this was Hamilton (https://github.com/dagworks-inc/hamilton), an open-source framework for managing dataflows that DAGWorks's is now driving forward.

LinkedIn
SK

Stefan Krawczyk

Silicon Valley veteran with 15+ years in data and ML systems at Stitch Fix, Nextdoor, and LinkedIn. Led the Model Lifecycle team at Stitch Fix and co-created the open-source Hamilton framework.

LinkedIn

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.