The researchers developing new applications for artificial intelligence at the world’s top enterprises and universities are helping push the boundaries of automation. However, many of them still rely on manual workflows to coordinate day-to-day tasks.

That’s the challenge Comet.ml Inc. has set out to solve with the help of $2.3 million in seed funding. The New York-based startup announced the round today in conjunction with the launch of its flagship offering, a platform for managing machine learning projects.

Comet.ml is built around a monitoring dashboard that enables AI teams to track the performance of their models. According to the startup, an engineer only has to embed a single line of code into a project for the platform to start providing visibility into key metrics such as accuracy. Comet.ml also lets users compare the different versions of an AI that are created over the course of a development initiative to identify the best iteration.

For cases when additional fine-tuning is needed, the startup said, the platform includes a tool designed to help researchers optimize a model’s so-called hyperparameters. These are the core operational properties of an AI, helping to define essential traits such as the rate at which the neural network learns from new data.

Since large-scale machine learning projects usually involve multiple researchers, Comet.ml has paired the platform’s core feature set with collaboration capabilities. The software makes it possible possible to add notes to a model and allows users to share share code with colleagues directly via the native interface. The head of an AI team can use Comet.ml to keep track of staffers’ work.

The startup claimed that its platform is seeing strong early adoption. According to Comet.ml, researchers from over 30 “leading industry companies and universities” have used the software to develop some 6,000 machine learning models to date.

The startup will spend its new seed funding on hiring more engineers and data scientists to help expand the platform’s capabilities. The round was led by Trilogy Equity Partners with participation from several other institutional backers, as well as a group of angel investors.

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