How Much Did FEDML Raise? Funding & Key Investors

Date
May 2, 2025
FEDML

Total amount raised

$19.5 Millions

Latest funding date

07/01/2023

FEDML

Location

Title

LINKEDIN

Status
Verified
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FEDML has successfully raised funding through a Seed round, attracting nine investors, including LDV Partners and Acequia Capital. The company specializes in SaaS, PaaS, and MLaaS, offering a range of products and services such as an Enterprise AI Platform and Serverless Training.

Keep reading to explore the intricacies of FEDML's fundraising journey and the investors backing this innovative platform.

What Is FEDML?

FEDML, founded on February 14, 2022, is based in Palo Alto, California. The company operates in the fields of Artificial Intelligence, Machine Learning, Software, and Web3.

Founded by Chaoyang He and Salman Avestimehr, FEDML employs between 11 and 50 people. The company focuses on providing SaaS, PaaS, and MLaaS, enabling developers and enterprises to build, deploy, and monetize large language models and other generative AI models.

How Much Funding Has FEDML Raised?

  1. Pre-Seed Round
    • Amount Raised: $2M
    • Date: March 2022
    • Lead Investors: Not publicly disclosed
    • Valuation at Round: Not publicly disclosed
    • Motivation Behind the Round: To support the initial development and launch of their collaborative AI platform.
  2. Seed Round
    • Amount Raised: $6M
    • Date: March 2023
    • Lead Investors: Camford Capital
    • Valuation at Round: Not publicly disclosed
    • Motivation Behind the Round: To expand the platform's capabilities and secure more enterprise contracts.
  3. Seed Round
    • Amount Raised: $11.5M
    • Date: July 2023
    • Lead Investors: LDV Partners, Acequia Capital
    • Valuation at Round: Not publicly disclosed
    • Motivation Behind the Round: To scale operations and enhance product offerings.

Total Amount Raised: $19.5M. Current Valuation: Not publicly disclosed.

Key Investors

  • Camford Capital
    • Details: Camford Capital led the seed funding round for FEDML. They are known for investing in early-stage technology companies.
    • Investment Focus Areas: Technology, SaaS, AI
    • Notable Investments: Not publicly disclosed
  • LDV Partners
    • Details: LDV Partners participated in the seed funding round for FEDML. They focus on investing in visionary entrepreneurs leveraging deep tech.
    • Investment Focus Areas: Deep Tech, AI, Machine Learning
    • Notable Investments: Not publicly disclosed
  • Acequia Capital
    • Details: Acequia Capital, also known as AceCap, invested in FEDML's seed round. They are known for supporting early-stage startups.
    • Investment Focus Areas: Technology, AI, SaaS
    • Notable Investments: Not publicly disclosed
  • Plug and Play Ventures
    • Details: Plug and Play Ventures participated in FEDML's funding round. They are a global innovation platform that connects startups to corporations.
    • Investment Focus Areas: Fintech, Health, IoT
    • Notable Investments: Dropbox, PayPal, LendingClub
  • AimTop Ventures
    • Details: AimTop Ventures also invested in FEDML. They focus on early-stage investments in technology-driven companies.
    • Investment Focus Areas: AI, Machine Learning, SaaS
    • Notable Investments: Not publicly disclosed

What's Next for FEDML?

FEDML stands at the cusp of significant opportunities, having secured 10 enterprise contracts across diverse sectors such as healthcare, financial services, and smart cities. With a user base of over 1,900 developers, the potential for growth is immense. The company's focus on collaborative AI and data privacy positions it well to capitalize on industry trends.

Future fundraising appears promising, given the successful seed and pre-seed rounds. As FEDML continues to expand its platform and customer base, additional funding rounds could be on the horizon to support further growth and innovation.

However, challenges remain. Ensuring data privacy and security while scaling the platform to meet increasing demand will be critical. Competing in the collaborative AI and MLOps space also presents its own set of hurdles. Yet, with its innovative approach and strong foundation, FEDML is well-equipped to navigate these challenges.

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