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Stack AI: Simplifying the Creation of AI-Driven Workflows for Companies within Minutes

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By: Headliners News / June 3, 2024

Meet Stack AI, co-founded by MIT PhD graduates Antoni Rosinol and Bernardo Aceituno, emerged from a desire to simplify the integration of data and AI models within companies. As large language models (LLMs) began gaining prominence in 2022, Rosinol and Aceituno identified a significant gap: many companies struggled to effectively combine their data with these models due to a lack of expertise. Determined to address this challenge, they moved to San Francisco and joined Y Combinator’s Winter 2023 cohort, where they launched Stack AI and honed their vision.

Stack AI has developed a low-code workflow automation tool designed to help businesses create AI-driven processes, such as chatbots and AI assistants. Since its inception, the company has raised $3 million and has already attracted over 200 customers within six months of launching its product.

Their platform allows people to build workflows that require connecting different tools to work together. By focusing on connecting data sources and LLMs, this allows you to build powerful workflow automations. Stack AI also offer many other tools and functions to automate complex business processes.

The tool’s interface involves dragging and dropping components onto a workflow canvas. These components typically include data sources (like Google Drive), LLMs, triggers, and actions. This setup allows users to create sophisticated AI programs with minimal coding. While the coding itself isn’t AI-driven, the tasks within the workflow often are, and some manual coding may be necessary to ensure seamless operation.

Some of Stack AI’s earliest adopters are in the healthcare sector, where accuracy and reliability are paramount. Aceituno acknowledges the need for caution when deploying AI in medical contexts, as internal data sources can sometimes be unreliable or outdated. Therefore, human oversight remains crucial. To enhance reliability, Stack AI includes source citations with every AI-generated response, enabling healthcare professionals to verify information before acting on it.

Transitioning from academia to entrepreneurship, Rosinol highlighted the valuable lessons learned at Y Combinator, particularly in understanding the business aspects and refining their startup idea through customer interactions.

Their team started with an initial version of this API, which was much more developer focused. As they started with a few clients with an idea that we wanted to use AI to automate RFP responses or automate sales. Then, by working with customers, it became very apparent that the true challenge was not in training a model, but rather in effectively querying and connecting data sources to these large language models.

Currently, Stack AI has a team of six employees and is looking to expand by hiring more engineers and sales and marketing professionals. The company secured a $3 million investment about a year ago, with funding from Gradient Ventures, Beat Ventures, and True Capital, among others, including Lambda Labs, Y Combinator, Soma Capital, and Epakon Capital.

Stack AI’s innovative approach aims to democratize AI-driven workflow creation, making it accessible for companies to harness the power of AI without needing extensive technical expertise.

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