Iterative and Enko Streamline Development of Machine Learning Models to Drive Data Science Best Practices Based on GitOps Workflows | New


Iterative, the MLOps company dedicated to streamlining the workflow of data scientists and machine learning (ML) engineers, today announced that Enko, the crop health company, has chosen the DVC open source project and Studio supported by Iterative to build repeatable and modular pipelines at scale.

Enko designs safe and sustainable solutions to the biggest threats to farmers’ crops today, from pest resistance to new diseases. Inspired by the latest drug discovery and development approaches from the pharmaceutical industry, Enko brings an innovative approach to crop health to meet the changing needs of farmers.

Enko’s Data Science team wanted to inspire data scientists to use GitHub for their experiments to create a more efficient and collaborative workflow. Since Enko heavily leverages Git and GitHub, they decided to choose Iterative-based tools over alternatives. DVC and Studio allow Enko to focus on creating and applying innovative models to accelerate experimentation with minimal operational overhead.

“Our team has a policy that requires peer-reviewed pull requests for all core infrastructure, but we found it nearly impossible to enforce on Jupyter laptops. This became even more difficult when the complexity of our workflows and the size of file dependencies have increased,” said Tim Panosian, R&D Data Science Manager at Enko. “Now all pipelines run on DVC, which has given us the ability to streamline the process. Everyone’s code looks the same and the expectations are clear. The big piece for us is that we know we can rely on the reproducibility of DVC to pick up where everyone left off.

With DVC and Studio, Enko is now able to keep track of everything, collaborate effectively and efficiently in real time, and can easily resume experiments quickly, even weeks later, without having to search for multiple tools or locations. Additionally, Studio provides transparency and enables communication with teams that may not be as technical or knowledgeable about aspects of model building. Teams can share metrics and plots immediately. Studio also gives positive feedback to data scientists and encourages good behavior and discipline around running experiments and pipelines in a traceable and repeatable way.

“Enko is doing important work to make the new crop protection safer and more sustainable, offering a win-win solution for the farmer and the environment,” said Jenifer De Figueiredo, community manager of Iterative. “DVC and Studio have enabled their data scientists and ML engineering team to be more productive and keep them moving in the same direction towards their goals.”

DVC brings agility, reproducibility, and collaboration into the existing data science workflow. It provides users with a Git-like interface for versioning data and models, bringing version control to machine learning and solving reproducibility challenges. DVC is built on top of Git, creating lightweight metafiles and allowing the system to handle large files, which cannot be stored in Git. The works with remote storage for large, unstructured data files in the cloud.

Iterative Studio is the collaboration layer for ML engineers and data scientists to track, visualize, and share experiences. Studio allows teams to link code, model, and data changes in one place. Studio is built on top of an organization’s Git and ties in tightly with the software development process so team members can share knowledge and automate their ML workflows.

DVC and Iterative Studio are available today to work with GitHub, GitLab, and BitBucket. To schedule a demo, visit

About iterative, the company behind Iterative Studio and popular open source tools DVC, CML and MLEM, enables data science teams to build models faster and collaborate better with machine learning tools data-centric. Iterative’s developer-focused approach to MLOps provides model reproducibility, governance, and automation throughout the ML lifecycle, all tightly integrated into software development workflows. Iterative is a remote company, backed by True Ventures, Afore Capital and 468 Capital. For more information, visit

About Enko

Enko designs safe and sustainable solutions to the biggest threats to farmers’ crops today, from pest resistance to new diseases. By applying the latest drug discovery and development approaches, from the pharmaceutical industry to plants, Enko brings a model of innovation to agriculture and responds to the changing needs of farmers. Founded in 2017 and led by a team of scientists, entrepreneurs and agriculture industry veterans, Enko is backed by investors including the Bill & Melinda Gates Foundation, Anterra Capital, Finistere Ventures, Novalis LifeSciences, Germin8 Ventures, TO Ventures Food and Rabo Food. & Agricultural Innovation Fund. Enko is headquartered in Mystic, Connecticut. For more information, visit

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