Y Combinator–backed Patterns is building a platform to abstract away data scienc...
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Y Combinator–backed Patterns is building a platform to abstract away data science busywork
Ken Van Haren and Chris Stanley were data scientists at Google and Square, respectively, who found themselves frustrated by how much time they were spending wrangling infrastructure versus doing actual data science. In surveying their colleagues, they found that it was a common problem. According to one poll, data scientists spend over half their time cleaning and organizing data and the majority of the rest collecting datasets.
Aiming to streamline the grunt work, Van Haren and Stanley launched Patterns, a platform that abstracts away AI model engineering. Backed by Y Combinator and angel investor Lenny Rachitsky, Patterns recently closed a $2.5 million pre-seed round.
"Patterns is the platform for any exec looking to prepare for the new world of AI, stay ahead of the transformation it will bring to their business and start building core AI features into their product and operations," Van Haren told TechCrunch in an email interview. "We help companies to handle the incredible rate of progress of AI, which involves adapting to new models and paradigms quickly."
Patterns' platform lets users build integrations, automations and workflows with AI from a set of modular components. According to Van Haren, it essentially wraps workflow logic and infrastructure in a software layer.
First, customers connect an app to Patterns using a library of prebuilt connectors. Then they build out a use case with code in Patterns' web-based IDE -- shipping the final product and optionally monitoring its performance with the platform's analysis and debugging tools.
The Patterns platform. Image Credits: Patterns
So what can you build with Patterns? Van Haren gave examples from his own experimentation. Using large language models akin to ChatGPT, he built a free-form question-answering bot on top of a CrunchBase database of investors, companies and fundraising rounds. For another demo, Van Haren fine-tuned OpenAI's GPT-3 language model on a dataset of over 6.5 million Hacker News comments to -- in his words -- "represent the collective wisdom of the HN community in a single bot."
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