Enterprise AI Agents for Every Job: StackAI Raises $16M

Today, over 82% of companies globally are either utilizing or actively exploring the use of artificial intelligence (AI) within their business operations. This rise in usage was fueled by the rapid growth of LLMs, including exceptional improvements in their versatility and reasoning capabilities.

Our recent exponential growth at Stack AI, coupled with this vast expansion of AI technologies, has led us to double down on our premise. We want to deploy AI agents in enterprise companies that can perform any job.

And that’s why, as of today, we’re thrilled to announce our latest round of funding. We recently raised a Series A of $16 million to capitalize on this tremendous opportunity in generative AI and AI agents.

The Promise of AI Agents

First, let’s add some context as to why our Series A is so important and timely. Why is this the right time for more funding?

The launch of ChatGPT in November 2022 sparked widespread interest in AI's potential to transform work. While Large Language Models (LLMs) have shown impressive capabilities in processing information, their full potential can only be realized when integrated with the tools and knowledge that drive our daily operations.

This integration has given rise to a new category of software: AI Agents. These agents promise to automate and augment a wide range of tasks, from scheduling, to information retrieval. In the enterprise context, AI Agents have the potential to unlock significant value by streamlining manual, repetitive processes.

At Stack AI, we've developed a platform that enables enterprises to create custom AI Agents. These agents can interact with various data sources and systems (e.g., SharePoint, Snowflake, Salesforce, and Confluence) and be deployed for diverse tasks such as knowledge management, data entry, content aggregation, and information categorization. Our solution prioritizes privacy, reliability, and efficiency, being deployable on-premises and virtual-private clouds (VPC).

Our mission is clear: an AI Agent for every job.

Our Progress

Since launching StackAI in April 2023:

• We've built a team of 16 members from institutions including MIT, Meta AI, NASA, BCG Gamma, and IBM.

• We serve hundreds of organizations, including Fortune 500s, banks, hospitals, government agencies, and universities.

• Over 90,000 individuals have signed up, creating more than 100,000 AI Agents.

• Our platform supports 30+ LLM providers and 100+ data connectors, while maintaining SOC 2 Type 2, HIPAA, and GDPR compliance.

Companies like Nubank, LifeMD, a Top 5 Defense agency, MIT Sloan, and SmartAsset have deployed our AI agents to automate workflows such as:

• Generating RFP responses backed with SharePoint data

• Conducting web research to generate investment memos

• Processing insurance claims using OCR and Web Search

• Training new staff using Confluence documentation

• Auditing sales calls for quality assurance

Looking Ahead

We remain committed to three core pillars:

1. Simplicity: We'll continue to make our platform more accessible, reducing time-to-value and enabling functional leaders to design optimal AI Agents for specific tasks.

2. Capacity: We'll invest in enhancing agent retrieval quality, expanding LLM tool access, and ensuring secure deployment in any environment on-premises.

3. Support: We'll develop more resources and foster a community to empower users on their AI journey.

This Series A funding will allow us to invest in creating a seamless, elegant, and effective product experience.

Our New Partners

We're pleased to welcome Lobby VC, LifeX Ventures, Guillermo Rauch (CEO of Vercel), and Bob Van Luijt (CEO of Weaviate) as new investors. Gradient, Y Combinator, and Epakon Capital are returning investors. They join Soma Capital, True Capital Ventures, and other angel investors in supporting our vision.

Get Started

To leverage AI agents for your organization, visit www.stack-ai.com or schedule a demo with us.

We're also hiring top talent across engineering, customer success, sales, and marketing. If you're interested in helping shape the future of enterprise AI, please check our careers page.