Zerve AI Ltd., an Ireland-based data science and artificial intelligence development platform, today announced it has raised $7.6 million in a seed round to help scientists and engineers in data to collaborate more quickly.

The round was led by Paladin Capital Group, with participation from existing investor Elkstone and angel investors, including Rob Hickey, former executive vice president of DataRobot. Zerve had already raised $3.8 million in pre-seed funding last October year led by Elkstone.

Zerve provides a visual collaboration platform for data teams that simplifies the creation, management and deployment of data and AI feeds. Teams can configure blocks of code that extract data sources, package them, control them, and feed them through pipelines while working together on a visual canvas without intersecting in parallel with automated infrastructure in the background.

“The metric by which we measure ourselves is the incremental throughput that the teams we work with have been able to achieve, whether it’s reducing their overall cycle time for projects or increasing their speed of developing projects. recommendations,” said Phily Hayes, CEO of Zerve.

The company said infrastructure management, language interoperability, version control, package management and automated deployment processes reduce boredom for data teams. The platform supports popular languages including SQL, Python, and R, as well as open source AI and machine learning model datasets such as GPT, BERT, and Llama via Cuddly faceas well as Extended language models via AI The foundation of Amazon Web Services Inc. cloud-hosted service.

Users can also invoke Code Assist, an AI integration that helps with code completion, error assistance, and debugging. He’is connected to the latest LLM models And Users can use natural language interactions to generate code suggestions. Users just have to comment what they want to do in a block And the wizard will use knowledge of the context of variables, metadata, and other code to create a solution. Currently, Code Assist can connect to Anthropic PBC Claude models, OpenAI GPT models, or Mistral AI models.

Users working with Jupyter notebooks — a popular web-based computing platform where users can create and share interactive block-based documents with each other containing code, text, and equations – to study computational results, they can import their work directly into Zerve. Programmers, data scientists, and students often use Jupyter to document and demonstrate data science and AI coding workflows or to perform experiments. This is a common starting point for many projects.

“The speed at which data and AI projects run can sometimes feel like death by 1,000 cuts. That’s why, in addition to our 100% guaranteed and resilience-based architecture, we have paved the way to the result by removing the smallest obstacles that arise. the way,” Hayes said.

After its product commercially launched in February, the company said, more than 4,000 users signed up for its free product tier within three months. Although Zerve did not reveal the names of its clients, the company said it currently serves several “elite data-first teams” in the data industry. major organizations on a global scale.

Image: Zervé