Meet Compass — Dagster’s new AI data analyst for Slack. Turn questions into trusted insights, instantly.  Try Compass now
Blog
Retain.ai joins Dagster Labs

Retain.ai joins Dagster Labs

January 10, 2024
Pete Hunt
Chief Executive Officer
Retain.ai joins Dagster Labs
Retain.ai joins Dagster Labs

We’re excited and humbled to bring the Retain.ai organization into our fold to help build out Dagster’s data orchestration capabilities.

Since the release of Dagster 1.0 and the launch of Dagster Cloud in August 2022, Dagster has seen rapid adoption among more progressive data teams. The feature set of Dagster continues to expand, providing data engineering leaders with capabilities that now go well beyond traditional data orchestrators.

To accelerate our already rapid pace of innovation, Retain.ai and Dagster Labs have finalized an agreement that includes key members of the Retain.ai team joining Dagster Labs, including Eric Chernoff, cofounder and CEO of Retain.ai.

“The Dagster Labs team is breaking new ground and has proven its ability to ship industry-best developer-centric solutions. We are excited to be combining at this point in their journey, and look forward to participating in the continued growth of the company” said Eric Chernoff.

“2023 was a period of amazing growth for Dagster Labs”, says Pete Hunt, “we’re excited to be bringing Retain.ai into the Dagster Labs fold to make it even easier to support customers and partners while delivering on our aggressive product roadmap.”

We are not disclosing any other details of the transaction at this time.

Have feedback or questions? Start a discussion in Slack or Github.

Interested in working with us? View our open roles.

Want more content like this? Follow us on LinkedIn.

Dagster Newsletter

Get updates delivered to your inbox

Latest writings

The latest news, technologies, and resources from our team.

Orchestrating Nanochat: Training the Models
Orchestrating Nanochat: Training the Models

December 9, 2025

Orchestrating Nanochat: Training the Models

Training an LLM isn’t one job—it’s a sequence of carefully managed stages. This part shows how Dagster coordinates your training steps on RunPod so every experiment is reproducible, scalable, and GPU-efficient.

Orchestrating Nanochat: Building the Tokenizer
Orchestrating Nanochat: Building the Tokenizer

December 3, 2025

Orchestrating Nanochat: Building the Tokenizer

Every great model starts with great data. This first part walks through how to structure ingestion with Dagster, prepare your text corpus, and build a tokenizer that shapes how your model understands the world.

When (and When Not) to Optimize Data Pipelines
When (and When Not) to Optimize Data Pipelines

November 17, 2025

When (and When Not) to Optimize Data Pipelines

Engineers often optimize the wrong parts of their pipelines, here's a profiling-first framework to identify real bottlenecks and avoid the premature optimization trap.