Stack AI’s co-founders, Antoni Rosinol and Bernardo Aceituno, had been PhD college students at MIT wrapping up their levels in 2022 simply as giant language fashions had been changing into extra mainstream. ChatGPT could be launched to the world on the finish of the yr, however even earlier than that, they acknowledged an issue inside firms placing information along with fashions with out a variety of experience and data – they usually wished to vary that.
After graduating, they moved to San Francisco and joined the Winter 23 cohort at Y Combinator, the place they launched Stack and refined their thought. At this time, the corporate has constructed a low-code workflow automation device designed to assist firms construct AI-driven workflows together with chatbots and AI assistants, for instance. The corporate has raised $3 million to date.
“Our platform permits folks to construct workflows that require connecting totally different instruments to work collectively. We give attention to connecting information sources and LLMs, since doing so lets you construct highly effective workflow automations. We additionally supply many different instruments and features to automate advanced enterprise processes,” Aceituno instructed TheTrendyType. They’ve solely had a working product for six months however already report over 200 clients utilizing the product.
Primarily, that entails dragging elements to a workflow canvas. That usually features a information supply equivalent to Google Drive and an LLM together with different workflow elements equivalent to a set off element or an motion element to construct the workflow, permitting the shopper to create generative AI applications with out a variety of coding. The coding itself is just not AI-driven, however the duties within the workflow typically are, and will require some guide coding to make the workflow work easily.
A few of their earliest clients are within the healthcare business, and Aceituno acknowledges they must watch out with purposes involving docs and sufferers, particularly when inside information sources aren’t at all times dependable or may include contradictory or out of date data.
In these instances, he says, it’s essential to depend on the human professional, the physician, to make the decision on the standard of the reply. As one other degree of safety, they embody supply citations in each reply, so the healthcare skilled can verify the supply earlier than accepting the reply.
“That being stated, it’s true that you could put rubbish in after which the citations will even be rubbish and that’s why it’s required that these assistants don’t take over the method fully,” he stated.
Coming proper from MIT and launching a startup, Rosinol says going to YC actually helped them perceive the enterprise facet of issues and the right way to refine their startup thought by working with clients.
“We began with an preliminary model of this API, which was rather more developer targeted. And we began with a couple of purchasers with an concept that we wished to make use of AI to automate RFP responses or automate gross sales. And by working with clients, it grew to become very obvious that the true problem was not in coaching a mannequin, however somewhat in successfully querying and connecting information sources to those language fashions.”
The corporate presently has six staff, however it’s hiring engineers and gross sales and advertising execs.
The $3 million funding closed a couple of yr in the past. Buyers embody Gradient Ventures, Beat Ventures and True Capital together with LambdaLabs, Y Combinator, Soma Capital and Epakon Capital.
