Together AI Hits $3.3B Valuation with $102.5M Funding to Revolutionize Enterprise AI Market

February 20, 2025
Together AI Hits $3.3B Valuation with $102.5M Funding to Revolutionize Enterprise AI Market
  • The current boom in AI funding showcases a stark increase from previous years, with AI startups raising over $42 billion in Q4 2024 alone, nearly doubling the previous quarter's record.

  • Recently, Together AI secured $102.5 million in a funding round led by General Catalyst and Prosperity7, valuing the company at $3.3 billion and attracting investment from notable players like Salesforce Ventures and NVIDIA.

  • Founded in 2022, Together AI has rapidly established itself as a significant player in the enterprise AI market by providing an open-source alternative to proprietary platforms.

  • Agentic AI is driving further demand for infrastructure, as workflows can lead to thousands of API calls per user request, increasing compute requirements.

  • The company specializes in a cloud platform that enables developers and researchers to train and deploy generative AI models, supporting over 200 open-source AI models including Meta's Llama and China's DeepSeek-R1.

  • The company claims superior performance metrics, serving the DeepSeek-R1 model at 85 tokens per second, significantly outperforming Azure's capacity of seven tokens per second.

  • Together AI's platform encompasses the entire AI lifecycle, offering capabilities for inference, training, fine-tuning, and synthetic data generation.

  • Despite the emergence of efficient models, the demand for AI computing infrastructure is on the rise, creating opportunities and challenges for Together AI amid competition from major cloud providers.

  • As Together AI scales its infrastructure, it faces the challenge of balancing rapid growth with maintaining the performance advantages that have contributed to its success.

  • To enhance support for agentic AI workloads, Together AI acquired CodeSandbox, allowing for faster execution of code in the cloud environment.

  • The funding will support ongoing research initiatives aimed at optimizing AI performance and efficiency, led by chief scientist Tri Dao.

  • Recent advancements include the integration of open source models like DeepSeek-R1 and Meta's Llama, which are positioned as competitive alternatives to proprietary AI solutions.

Summary based on 14 sources


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