Stack AI

Stack AI

AI-powered Data Platform for ML Teams.

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DateInvestorsAmountRound
investor

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round
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$16.0m

Series A
Total Funding000k

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Revenues, earnings & profits over time
USD2023
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EBITDA0000
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EV0000
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R&D budget0000

Source: Dealroom estimates

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More about Stack AI
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Stack AI provides an enterprise-focused, no-code platform for building and deploying custom AI agents and workflow automations. The company was founded in 2022 by Bernard Aceituno and Toni Rosinol. The founders, both MIT PhDs, identified the need for a platform to bridge the gap between enterprise data and the capabilities of large language models (LLMs) even before the widespread attention brought by ChatGPT. Their academic and professional backgrounds, which include experience at NASA and Meta AI, informed the company's mission to help teams maximize model accuracy and reduce deployment times.

The company's core product is a low-code platform featuring a visual, drag-and-drop interface that allows users without technical expertise to build, test, and deploy sophisticated AI workflows. Stack AI is designed to integrate with a wide array of enterprise systems and data sources, such as SharePoint, Snowflake, Salesforce, Google Drive, and Notion, enabling the creation of powerful internal tools. The platform supports various applications, including creating knowledge-based AI assistants, automating the generation of RFP responses, conducting due diligence research, analyzing legal contracts, and extracting data from documents. By connecting data sources with LLMs, Stack AI empowers organizations to automate back-office operations and enhance productivity. Clients range from startups to large enterprises, including names like LifeMD, SmartAsset, Circle Medical, and MIT Sloan.

Stack AI's business model is subscription-based, offering several pricing tiers to cater to different user needs, from a free plan for exploration to comprehensive enterprise-level packages. These plans vary by the number of monthly runs, projects, and team members, with enterprise solutions offering dedicated infrastructure, on-premise deployment options, and compliance with standards like SOC 2, GDPR, and HIPAA. The company has secured significant funding to support its growth, participating in the Y Combinator W23 batch and raising a total of over $19 million through seed and Series A funding rounds, with investors including Lobby VC, Gradient Ventures, and LifeX Ventures.

Keywords: AI agents, no-code AI platform, workflow automation, enterprise AI, large language models, LLM applications, data integration, AI assistants, document processing, Y Combinator, Bernard Aceituno, Toni Rosinol, AI deployment, back-office automation, business process automation, AI-powered applications, knowledge management AI, low-code AI, enterprise software, AI workflow builder

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