Baseten | Company Profile - Revenue, Headcount, Tech Stack, Contacts
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Keywords & Focus Areas
Baseten
Overview
Baseten is an AI-focused company based in San Francisco, specializing in robust infrastructure for deploying, serving, and scaling machine learning models. Established in 2019, it provides solutions that allow data science and machine learning teams to move models from development to production with minimal backend or MLOps knowledge required.
The company offers a comprehensive MLOps platform to support model deployment, serving, and fine-tuning, especially for large language models and generative AI applications. Baseten collaborates with leading organizations such as AWS and NVIDIA to deliver enhanced model performance and reduced latency, powering advanced AI applications. Its services include production-grade AI infrastructure, fast inference capabilities, model APIs, optimized training support, and contributions to open-source projects like Truss, a model packaging framework. Baseten serves engineering and ML teams at organizations including Patreon and Stability AI, helping them deploy and manage custom AI models effectively.
Basic Information
| Industry | information technology & services |
|---|---|
| Founded | 2019 |
| Revenue | $2.7M |
| Headquarters | 575 Sutter Street, San Francisco, CA, United States, 94102 |
| Alexa Ranking | 55,372 |
Contact Details
- Phone: +1 510-396-9318
- Website: baseten.co
- LinkedIn: linkedin.com/company/baseten
Key Focus Areas & Initiatives
- Developer tools for AI model deployment and serving
- Machine learning infrastructure automation
- Real-time model inference and latency optimization
- AI model customization and fine-tuning
- Model cost savings and performance tracking
- Cloud-native and multi-cloud deployment solutions
- Enterprise-grade inference infrastructure and scalability
- Open-source contributions (e.g., Truss model packaging framework)
- Model orchestration, version management, and health monitoring
- Integration with leading platforms such as AWS and NVIDIA
- Support for generative AI and large language models
- Security features and compliance solutions for AI deployments
- Infrastructure for production-ready AI models
- Dedicated inference hardware and GPU acceleration
- Enterprise AI deployment best practices
Technologies Used
- AI
- CloudFlare
- Content.ad
- Docker
- DoubleClick
- DoubleClick Conversion
- Gmail
- Google Apps
- Google Dynamic Remarketing
- Google Tag Manager
- Grafana
- Hubspot
- Linkedin Marketing Solutions
- Microsoft Office 365
- Mobile Friendly
- NSOne
- Patreon
- Proofpoint
- React
- React Native
- React Redux
- Remote
- Render
- Reviews
- Route 53
- Segment.io
- Sendgrid
- Typeform
- Vercel