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Stack AI ’s co - founders , Antoni Rosinol and Bernardo Aceituno , were PhD students at MIT twine up their degrees in 2022 just as large language models were becoming more mainstream . ChatGPT would be released to the world at the destruction of the class , but even before that , they recognise a problem inside company cast information together with role model without a lot of expertise and knowledge — and they want to change that .
After graduating , they moved to San Francisco and joined the Winter 23 cohort at Y Combinator , where they launchedStackand refined their idea . Today , the company has built a broken - code workflow automation tool designed to facilitate companies build AI - driven work flow including chatbots and AI assistants , for exemplar . The caller has call down $ 3 million so far .
“ Our platform allows citizenry to work up workflows that require connecting unlike tools to work together . We focus on connect data sources and LLMs , since doing so allow you to build sinewy workflow automations . We also pop the question many other cock and affair to automatise complex patronage process , ” Aceituno told TechCrunch . They ’ve only had a act upon product for six months but already cover over 200 customers using the production .
Essentially , that involves trail components to a workflow canvass . That typically include a information root such as Google Drive and an LLM along with other workflow part such as a trigger component or an action component to build the workflow , allowing the client to produce reproductive AI programs without a lot of put one over . The encipher itself is not AI - driven , but the tasks in the work flow often are , and could take some manual code to make the workflow work smoothly .
Some of their earliest customers are in the healthcare industry , and Aceituno acknowledges they have to be thrifty with applications involving doctors and patients , especially when internal information sources are n’t always true or could take conflicting or disused information .
In those cases , he says , it ’s important to rely on the human expert , the doctor , to make the call on the quality of the answer . As another level of tribute , they let in beginning citations in every resolution , so the healthcare pro can contain the germ before accept the resolution .
“ That being sound out , it ’s true that you may put scraps in and then the citation will also be garbage and that ’s why it ’s required that these supporter do n’t take over the process completely , ” he said .
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Coming right from MIT and launching a inauguration , Rosinol state going to YC really assist them understand the business enterprise side of things and how to refine their startup idea by working with customers .
“ We take off with an initial adaptation of this API , which was much more developer focused . And we started with a few client with an idea that we wanted to utilise AI to automate RFP responses or automate sales event . And by working with customer , it became very apparent that the rightful challenge was not in training a model , but rather in effectively query and connect data sources to these language example . ”
The company presently has six employee , but it is hiring engineers and sale and marketing pros .
The $ 3 million investment closed about a year ago . investor let in Gradient Ventures , Beat Ventures and True Capital along with Lambda Labs , Y Combinator , Soma Capital and Epakon Capital .
