Setting the file. One moment.
Skill 29 · Knowledge Base For Startups
Subchapter 29.57
references/learn/case-studies/arcee-ai-powers-small-languages-models-and-enables-big-ai-ambitions.mdMarkdown2 KBView on GitHub
Arcee AI (opens in a new tab) is helping organizations utilize the power of generative AI and, more importantly, making this a possibility for even the smallest of companies. The startup built its entire IT stack using AWS solutions and services, training its models, hosting its tools, and ensuring scalability and stability for its infrastructure. They are also benefitting from marketing capabilities offered by AWS, increasing its visibility and growing its business as a result.
Large language models (LLMs) analyze huge amounts of data and are a key part of next generation AI. However, working with LLMs also requires significant resources. Organizations need data to train them on, the workforce to do the training, and the finances to enable this.
Arcee AI is making generative AI more accessible to businesses of all sizes, by allowing them to develop and deploy Small Language Models (SLMs) tailored for enterprise applications. These require less data, can be tailored to specific tasks, and are designed to be more cost-effective and efficient. Arcee AI’s platform enables organizations to implement custom agentic AI workflows, offering a set of tools for training and merging SLMs, as well as providing the models themselves. In doing so, it’s helping even the smallest of organizations realize the biggest of AI ambitions.
Similarly, as a startup, Arcee AI sought a partner to help it to create and scale its offering and realize its goal of making AI available to all. “We’ve been working with AWS since our inception for our entire stack,” says Mark McQuade, Co-founder, Arcee AI, a decision influenced by “their infrastructure availability, scalability, and uptime.”
It’s not only the compute resources that have supported the company; there’s a lot more to what AWS offers startups than that. From content marketing to go-to-market support, working with AWS, says McQuade, helps “show the world your capabilities as a startup and what you’re building.”