Arcee Blog

Arcee AI is excited to announce the availability of its small language models (SLMs) on Together.ai and OpenRouter, two leading managed inference platforms. Start building today and leverage Arcee AI’s specialized models to enhance your AI applications.

Learn how Arcee Conductor enriches inventory data with human-readable descriptions, improves searchability, and reduces costs by up to 75%.

We break down the reactions to the LLama 4 release–analyzing the missteps but also highlighting strengths that may have been overlooked amidst the initial noise.

Our Chief Evangelist, Julien Simon, explores the advantages and practical applications of running SLM inference on Arm CPUs.

Facing growing, unpredictable AI budgets? Arcee Conductor intelligently routes prompts to the optimal AI model based on complexity, cutting costs by up to 99% per prompt without sacrificing quality. Beyond a simple LLM router, it offers a comprehensive catalog of both SLMs and LLMs.

Why does the model or (models) used in your agentic AI workflows matter? In this article we explain why the choice of models is key for a successful agentic AI strategy–and why small language models (SLMs) are the right choice.

Today we bring you exciting updates on two small language models (SLMs) we've been working on: our first reasoning model, Arcee-Maestro-7B-Preview, and a fast and efficient Mistral-based DeepSeek distillation we call Arcee-Blitz.

AngelQ and Arcee AI launch KidRails, the first open-source framework for training LLMs to deliver safe, age-appropriate responses for children aged 5-12.

With Arcee Orchestra, you’ll transform complexity into simplicity, see faster collaboration across departments, and ultimately drive business growth—one automated workflow at a time.