Stack AI: What It Is and Best Alternatives [Review]

"Our platform allows people to build workflows that require connecting different tools to work together. We focus on connecting data sources and LLMs, since doing so allows you to build powerful workflow automations." — Bernardo Aceituno, Stack AI co-founder (TechCrunch, May 21, 2024)

‍Stack AI, a startup born from the halls of MIT, is turning heads in Silicon Valley and beyond with its promise to democratize AI-powered workflow creation. With over 200 customers acquired in just six months since its product launch, Stack AI is quickly becoming a go-to solution for enterprises looking to harness the power of AI without the traditional barriers of complex coding and extensive data science expertise.

This article will examine how Stack AI works, if it’s the right option for your business, and the best alternative platforms to build AI assistants, like Voiceflow. 

What Is Stack AI? 

Stack AI is an enterprise-grade platform designed to simplify the process of building and deploying AI-powered applications, with a particular focus on AI assistants.

As highlighted in the opening quote, Stack AI's core strength lies in its ability to connect various tools, particularly data sources and Large Language Models (LLMs), to create powerful automated workflows.

Stack AI Founders

Stack AI was co-founded by Antoni Rosinol and Bernardo Aceituno, both former PhD students at MIT. According to TechCrunch, the founders recognized the potential of large language models even before the release of ChatGPT, identifying a gap in the market for tools that could effectively combine data with these models.

Stack AI Funding

The company has secured $3 million in funding from a roster of notable investors, including Gradient Ventures, Beat Ventures, True Capital, Lambda Labs, Y Combinator, Soma Capital, and Epakon Capital.

How Does Stack AI Work? 

At its core, Stack AI operates as a low-code workflow automation tool. The platform's architecture allows users to construct AI-driven workflows through an intuitive drag-and-drop interface. Here’s an overview of Stack AI’s features and how they work:

What Can You Build with Stack AI? 

The low-code nature of Stack AI allows organizations to implement these solutions without extensive AI expertise. By leveraging the platform's ability to connect various data sources with advanced AI models, businesses can create custom AI assistants that address specific operational challenges: 

• Operations: AI assistants can automate complex supply chain tasks, such as generating proposals and responding to RFPs. They can also optimize logistics by processing large datasets to provide actionable insights in real-time.
• Analytics: Stack AI allows companies to deploy AI models that reduce dependency on data analysts by enabling natural language queries. This empowers teams to gain real-time insights directly from data warehouses, speeding up decision-making and enhancing data accessibility.
• Healthcare: In the healthcare sector, Stack AI can be used to build physician co-pilots that assist doctors by retrieving patient history, treatment plans, and progress from electronic health records (EHR). Additionally, AI-driven assistants can automate the generation of SOAP notes from recorded patient visits, significantly reducing administrative burdens.
• Legal: Legal firms can leverage Stack AI to create assistants that automate document review processes, draft legal briefs, and analyze contracts. These AI models can quickly process vast amounts of legal documents, identifying key information and streamlining workflows.
• Customer Service: Stack AI enables the development of customer service assistants that can handle common queries, provide instant responses, and escalate more complex issues to human agents. This enhances customer satisfaction by reducing response times and improving the efficiency of support teams.
• Finance: In finance, AI assistants can be built to monitor transactions for fraud, automate financial reporting, and manage compliance with regulations. These tools can also provide real-time financial insights, helping organizations maintain accurate financial records and meet regulatory requirements efficiently.

Stack AI’s Best Alternatives

While Stack AI offers a robust platform for creating AI-powered workflows, Voiceflow stands out as a superior alternative when it comes to developing AI assistants specifically for customer service.

Trusted by over 250,000 teams, Voiceflow’s drag-and-drop interface is so easy to use that even those without technical expertise can easily build and deploy bots across various channels, including voice and text. Voiceflow’s strong integration with tools like Salesforce and Zendesk ensures that your AI assistants can provide personalized, real-time customer support. Plus, it’s free to get started, making it an accessible option for businesses of all sizes to create responsive, effective customer service experiences. Start building your own AI assistant today—it’s free!