Baseten

Baseten is an AI infrastructure company that provides the tools, expertise, and hardware required to deploy AI products at scale. Founded in 2019 and based in San Francisco, California, the company focuses on making machine learning accessible to businesses. Baseten’s platform is known for its proprietary Inference Stack, which is designed for high-performance AI deployments with 99.99% uptime. It helps organisations build, optimise, and scale machine learning applications with features like auto-scaling, GPU access, and serverless functions.
 

The platform supports a range of models, including text generation, image generation, transcription, and text-to-speech. It offers users the ability to deploy both open-source models and custom models for their specific needs, with a strong emphasis on performance and cost-efficiency. The Inference Stack provides fast response times and high throughput, ensuring optimal performance for mission-critical AI tasks.
 

Baseten is designed to cater to machine learning teams, providing them with the infrastructure needed for faster decision-making without the need for extensive backend, frontend, or MLOps knowledge. The platform is built with flexibility, allowing users to deploy models on any cloud, including Baseten’s cloud, self-hosted environments, or hybrid solutions. This flexibility is crucial for businesses looking to scale their AI models globally and maintain reliability under heavy workloads.

The company has raised $285 million in funding, with its latest Series D round securing $150 million in 2025. It has gained recognition for its commitment to providing high-performance AI infrastructure and is trusted by top engineering and machine learning teams. Baseten’s customers range from startups to enterprises, all benefiting from its powerful, scalable infrastructure tailored to AI-driven applications.

Baseten is a San Francisco-based AI infrastructure company founded in 2019 by Tuhin Srivastava, Amir Haghighat, Philip Howes, and Pankaj Gupta. The founders, experienced in machine learning and software engineering, established Baseten to address the challenges of deploying machine learning models into production environments. They aimed to create a platform that simplified the process, enabling data scientists to focus on innovation rather than infrastructure management.
 

In its early stages, Baseten focused on providing tools for deploying machine learning models, offering a serverless platform that abstracted away the complexities of infrastructure. The company gained traction by offering reusable components for assembling workflows and building ML-powered applications. This approach resonated with data science and machine learning teams, leading to increased adoption of Baseten's platform.
 

As the AI landscape evolved, Baseten adapted its offerings to meet the growing demands of the industry. The company expanded its platform to support large-scale models and complex AI applications, emphasising performance, scalability, and reliability. 


In 2024, Baseten raised $40 million in a Series B funding round, led by IVP and Spark Capital, to enhance product features and expand into new markets. This funding enabled Baseten to continue developing its platform and supporting its growing customer base.
 

In 2025, Baseten achieved significant milestones, including the launch of its Inference Stack, which provided a comprehensive solution for deploying and managing AI models. The company also introduced features like multi-cloud support and autoscaling to enhance the flexibility and efficiency of its platform. The company has raised $285 million in funding, with its latest Series D round securing $150 million in 2025.

 

As of 2025, Baseten continues to serve a diverse range of clients, including startups and enterprises, by providing robust infrastructure and tools for deploying and managing AI models at scale. The company's commitment to innovation and customer success has solidified its position as a leading provider of AI infrastructure solutions.

Baseten’s mission is to make AI accessible to businesses by providing them with the tools, infrastructure, and expertise needed to quickly build, deploy, and scale AI models. The company aims to simplify the complex process of machine learning deployment, allowing businesses to focus on innovation without worrying about infrastructure challenges. By offering flexible, high-performance solutions, Baseten seeks to empower companies of all sizes to integrate AI into their operations efficiently, making AI-powered applications available to all organisations, no matter their size or technical expertise.

Baseten aims to make machine learning accessible to all organisations by providing a powerful yet simple infrastructure platform. Their vision is to enable businesses of all sizes to build and deploy AI-powered applications quickly and efficiently. By offering high-performance AI tools and scalable infrastructure, Baseten seeks to empower data scientists and developers, allowing them to focus on innovation while handling the complexities of machine learning infrastructure. Through their platform, they aim to accelerate the adoption of AI and help businesses realise the full potential of their data.

Baseten has received significant recognition for its contribution to AI infrastructure. The company was acknowledged for its innovation in the field by industry leaders and has garnered praise for its high-performance AI deployment solutions. In 2025, Baseten raised $150 million in Series D funding, demonstrating investor confidence in its mission and future prospects. The company has also been highlighted for its role in advancing AI capabilities, with its platform trusted by top engineering and machine learning teams. 

Baseten offers a comprehensive suite of products and services designed to help businesses deploy, manage, and scale AI models efficiently. Their platform is built to simplify machine learning (ML) workflows, making it easier for data scientists and developers to focus on innovation without being overwhelmed by complex infrastructure management. The key products and services Baseten provides include Inference Stack, model deployment, training, autoscaling infrastructure, and various AI-powered solutions.
 

1. Inference Stack
The core product offering of Baseten is its Inference Stack, a powerful set of tools that enables high-performance deployment and management of machine learning models. The Inference Stack is designed for mission-critical workloads, with a focus on performance, scalability, and reliability. It supports the deployment of open-source models, custom models, and fine-tuned models with optimised performance out-of-the-box. 

The stack includes advanced performance research, custom kernels, the latest decoding techniques, and efficient caching, ensuring low latency and high throughput for all models. Businesses can run models with 99.99% uptime and deploy them across various cloud platforms, either in Baseten’s cloud, self-hosted, or hybrid environments.

2. Model Deployment
Baseten allows businesses to deploy machine learning models quickly and efficiently. Users can choose from a variety of pre-built models in the Baseten Model Library or deploy their own custom models. The platform supports multiple AI modalities, including text generation, image generation, transcription, text-to-speech, and embeddings. Once models are deployed, they can be easily managed through Baseten’s developer-friendly interface, which simplifies the deployment process and ensures that models are production-ready.
 

3. Autoscaling Infrastructure
One of the standout features of Baseten’s platform is its autoscaling infrastructure. Businesses can scale their workloads seamlessly based on traffic demand, ensuring that models perform optimally under both low and high traffic conditions. 

The autoscaling feature adjusts resources dynamically, ensuring that businesses do not overspend on compute resources while maintaining low-latency performance. Baseten’s cloud infrastructure can handle high-traffic workloads effortlessly, with rapid cold starts and efficient resource management. Users can also choose to deploy models across multiple clouds, giving them more flexibility in scaling operations.
 

4. Model Training
In addition to deployment, Baseten offers infrastructure for model training. The platform provides inference-optimised hardware that allows businesses to train models efficiently without the restrictions often found with traditional training infrastructure. 

Baseten’s training infrastructure ensures that businesses can run their machine learning experiments without the overhead, enabling them to achieve the best performance in production. The platform’s flexible infrastructure also supports a wide range of machine learning frameworks, making it adaptable to various use cases.
 

5. Text-to-Speech (TTS) Solutions
Baseten offers advanced text-to-speech (TTS) solutions through its Orpheus TTS model. This model provides lifelike speech synthesis that can be integrated into virtual assistants, AI phone calls, and various voice-powered applications. The TTS services are optimised for low latency, high throughput, and cost-efficiency, making them ideal for industries that require real-time voice synthesis, such as customer service and content creation.

6. Image Generation
Baseten’s image generation capabilities provide businesses with the ability to create high-quality images using cutting-edge models like Stable Diffusion and SDXL Lightning. These models enable the generation of images in real-time, making them suitable for applications in marketing, content creation, and visual media. With the option to deploy custom image generation workflows, businesses can tailor the model to their specific needs, ensuring that their content is produced quickly and accurately.
 

7. Transcription
The company’s transcription service, powered by the Whisper model, offers rapid and accurate transcription of audio content. This service is ideal for industries such as healthcare, legal, and media, where quick and precise transcriptions are crucial. Baseten has optimised Whisper to deliver faster transcription at a fraction of the cost compared to other solutions, making it a cost-effective choice for businesses with high transcription volumes.
 

8. Compound AI
Baseten’s Compound AI services allow businesses to build complex AI systems that combine multiple models for more advanced use cases. Using Baseten Chains, businesses can link different AI models and services to create end-to-end workflows for applications such as recommendation systems, multi-step decision-making processes, and advanced data analysis. This feature provides the flexibility to create tailored AI solutions that meet specific business needs.
 

9. Multi-Cloud Capacity Management (MCM)
Multi-cloud capacity management (MCM) is another important offering from Baseten. MCM enables businesses to run their workloads on any cloud provider and ensures high availability across multiple regions. This feature helps to avoid vendor lock-in and ensures that businesses can scale their AI models globally while maintaining performance and reliability. The ability to scale resources dynamically across clouds ensures that businesses can handle traffic spikes and meet strict service level agreements (SLAs).