Categories: AppArtificial IntelligenceMeasurementNatural Language ProcessingResearchSecurityTimeUniversity
Measurement. Explanation. Application. That's how we're tackling AI interpretability: the greatest scientific problem of our age.
Investors 2
Funding Rounds 1
| Date | Series | Amount | Investors |
| 15.11.2023 | - | $9M | - |
Mentions in press and media 7
| Date | Title | Description |
| 17.09.2024 | Martian Raises $9M in Funding | Martian, a San Francisco, California-based technology company that has built a patent-pending large language model (LLM) router, raised $9m in funding.
The round was led by NEA, with participation from Prosus Ventures, Carya Venture Partner... |
| 17.09.2024 | Model routing: The secret weapon for maximizing AI efficiency in enterprises | Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More
As enterprises increasingly adopt AI technologies, they face a critical challenge: how to automatically select th... |
| 30.07.2024 | Not Diamond automatically routes your query to the best LLM | Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More
In the age of large language models (LLMs), enterprises are racing to deploy the best possible model for their ap... |
| 15.11.2023 | Martian Receives $9M in Funding | Martian, a San Francisco, CA-based company providing Model Router, an orchestration layer solution that routes each individual query to the best LLM in real-time, raised $9M in funding.
Backers included NEA, Prosus Ventures, Carya Venture P... |
| 15.11.2023 | Martian, Joint Interview with Co-CEOs Etan Ginsberg and Shriyash Upadhyay | Martian, a San Francisco, CA-based company providing an AI based orchestration layer solution, has just raised $9M in funding. In conjunction with the funding, Co-CEOs Etan Ginsberg and Shriyash Upadhyay answered our questions about the com... |
| 15.11.2023 | Martian’s tool automatically switches between LLMs to reduce costs | Shriyash Upadhyay and Etan Ginsberg, AI researchers from the University of Pennsylvania, are of the opinion that many large AI companies are sacrificing basic research in pursuit of developing competitive, powerful AI models. The duo blame ... |
| - | Martian | “Dynamically route your prompt to the best LLM” |
Reviews 0