Together AI: The AI Acceleration Cloud

Founded in 2022, Together AI is a rapidly growing company focused on providing an AI Acceleration Cloud platform that empowers developers, researchers, and enterprises to build, train, fine-tune, and deploy generative AI models with unmatched performance, security, and cost-efficiency. With a mission to make open-source AI more accessible and powerful, the company has quickly become a dominant player in the AI infrastructure space. After successfully raising $305 million in Series B funding, Together AI’s valuation has surged to $3.3 billion, fueling further expansion and innovation in its platform.

Idea and Product

Together AI’s primary product is its AI Acceleration Cloud, which supports the entire AI development lifecycle—from training and fine-tuning to inference and deployment. The platform leverages open-source models like Meta’s Llama and DeepSeek-R1, alongside cutting-edge proprietary technologies to deliver faster, more efficient AI solutions. Key features of the product include scalable infrastructure, a high-performance inference engine, and customizable deployment options for AI models, all designed to meet the diverse needs of AI developers and enterprises. The platform serves a wide range of use cases, including chatbots, image recognition, voice AI, and more, offering enterprise-grade security, privacy controls, and the ability to retain full ownership of custom models.

Market

Together AI operates in the rapidly growing AI and cloud infrastructure market, catering to over 450,000 AI developers and large enterprises globally. The increasing demand for open-source AI solutions has positioned the company to tap into a massive market of AI-native companies, research institutions, and enterprises across various industries. As AI continues to disrupt sectors such as healthcare, finance, retail, and entertainment, Together AI’s platform offers a competitive advantage by providing scalable, cost-effective, and secure solutions that are optimized for AI model development and deployment.

Business Model

Together AI operates on a flexible, usage-based pricing model designed to accommodate a wide range of customers, from individual developers to large enterprises. The company offers access to over 200 open-source models, allowing users to fine-tune and deploy AI models at production scale. Together AI’s platform also includes pay-as-you-go pricing, which enables small teams and independent developers to experiment with customized models without large upfront costs. Its business model emphasizes low-cost, high-performance AI solutions that provide value for customers across the entire AI lifecycle, ensuring sustainable growth and customer retention.

Technology

At the heart of Together AI’s platform is its proprietary AI Acceleration Cloud, powered by innovations like the Together Inference Engine, FlashAttention-3 kernels, and advanced quantization techniques. The platform supports 200+ open-source models across various modalities, including chat, image, audio, vision, code, and embeddings. It delivers 2-3x faster inference than traditional hyperscaler solutions, with a focus on providing maximum performance at the lowest cost. Additionally, the company has made significant investments in infrastructure, including a large-scale deployment of NVIDIA Blackwell GPUs and a partnership with Hypertec to co-build a massive GPU cluster to support its growing user base.

Vision and Ambition

Together AI’s vision is to become the go-to platform for building and deploying open-source AI models at scale, enabling organizations to leverage AI with full control, security, and ownership. The company is committed to advancing the AI frontier by providing the most efficient, cost-effective, and scalable solutions. With ongoing infrastructure expansion and cutting-edge research in AI optimization, Together AI aims to lead the industry in AI efficiency, ensuring that powerful AI systems remain accessible, transparent, and sustainable for developers and enterprises worldwide.

Team

The leadership team at Together AI is composed of experienced professionals from diverse backgrounds, bringing together expertise in AI, cloud infrastructure, and enterprise solutions. The company is led by CEO Vipul Ved Prakash, a visionary in the AI space, and supported by Chief Scientist Tri Dao, a pioneer in AI system optimization. Together AI’s leadership team is further strengthened by the addition of key hires such as go-to-market veteran Kai Mak as CRO and research pioneer James Zou. The team’s combined expertise and commitment to innovation have been pivotal in shaping the company’s rapid growth and success.

Investors and Funding

Together AI’s impressive growth has been supported by a group of prestigious investors, with a recent $305 million Series B funding round led by General Catalyst and co-led by Prosperity7. The round also saw participation from global institutional and strategic investors such as Salesforce Ventures, NVIDIA, Kleiner Perkins, and Coatue. This funding brings Together AI’s valuation to $3.3 billion and will be used to expand its infrastructure, accelerate product development, and further its mission to make open-source AI accessible to developers and enterprises globally.

Achievements and Milestones

Together AI has achieved significant milestones since its founding, including the rapid growth of its user base to over 450,000 developers and enterprises in 2024. The company’s platform has already transformed how leading global organizations like Salesforce, Zoom, and The Washington Post build modern AI applications. Recent milestones include the deployment of DeepSeek models with privacy controls, the launch of the Together Enterprise Platform, and a partnership with Cartesia to enable ultra-low latency voice AI. The company has also made strategic acquisitions, such as CodeSandbox, to enhance its platform’s capabilities, particularly in code interpretation.

Challenges and Risks

Despite its rapid growth, Together AI faces several challenges in a competitive and rapidly evolving market. As AI adoption increases, the company must navigate the complexities of data privacy, security, and model ownership, ensuring that its solutions remain compliant with global regulations. Additionally, as the company scales its infrastructure, it will need to manage costs effectively while maintaining the high performance and security that its customers demand. Finally, Together AI must continue to innovate and stay ahead of competitors in a fast-paced industry, balancing product development with market expansion.

To get the latest AI transformation case studies straight to your inbox, subscribe to AI in Action by AIX — your weekly newsletter dedicated to the exploration of AI adoption in business.

Sources:
Together.ai
Together AI Raises $305M Series B to Scale AI Acceleration Cloud for Open Source and Enterprise AI
Together AI enhancements make AI fine-tuning faster and easier
Together AI notches $3.3 billion valuation after General Catalyst-led fundraising

Let’s talk

Whether you’re looking for expert guidance on AI transformation or want to share your AI knowledge with others, our network is the place for you. Let’s work together to build a brighter future powered by AI.