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Featherless.ai

Category: AI Infrastructure

A serverless AI inference platform providing instant and affordable access to a vast collection of open-source AI models. Featherless.ai was founded in 2023. The company is led by Eugene Cheah. Based in San Francisco, CA. Team size: 11-50. Total funding raised: $25M. Latest round: Series A. Key investors include AMD Ventures, Airbus Ventures, BMW i Ventures, Kickstart Ventures, Panache Ventures, Wavemaker Ventures.

AMW Analysis

Featherless.ai operates a serverless AI inference platform designed to provide cost-effective, scalable access to open-source AI models. The company optimizes GPU utilization and offers flat-rate subscription pricing, targeting enterprises seeking affordable alternatives to proprietary models. Headquartered in San Francisco, the company was founded in 2023 and has raised $25 million in total funding, with the latest round being a Series A.

Recent news flow centers on a $20 million Series A round co-led by AMD Ventures and Airbus Ventures, with participation from BMW i Ventures, Kickstart Ventures, Panache Ventures, and Wavemaker Ventures. This funding, along with a separate undisclosed investment from Kickstart Ventures, signals growing investor interest in the open-weight model segment. The company plans to use the capital to expand its engineering team and scale infrastructure, reinforcing its focus on bringing open-source LLMs to enterprise production environments. The pattern of backing from strategic investors in automotive, aerospace, and semiconductors suggests a broadening of the platform’s potential use cases beyond pure cost savings.

AMW analysis, generated from 3 tracked news signals.

Founded
2023
Headquarters
San Francisco, CA
Team size
11-50
Total funding
$25M

Value proposition

Offers cost-effective, scalable AI inference by optimizing GPU utilization with flat-rate subscription pricing and eliminating costly downtime

Products and solutions

Access to 48,000+ open-source AI models via single API, serverless inference (language, vision, audio, multimodal), flat-rate subscription pricing, Managed OpenClaw agent runtime, Bulk/dedicated GPU instances, GLM 5.2 hosting including AMD-native private cloud

Unique value

Serverless architecture that dynamically allocates GPU resources and provides instant access to a diverse library of AI models

Target customer

Businesses and individuals seeking to integrate AI without high infrastructure costs

Industries served

General AI applications, Emerging markets

Technology advantage

Optimized GPU utilization and a flat capacity pricing model that dramatically reduces operational costs

How they differentiate

Focus on serverless AI inference with an extensive open-source model library, cost-effectiveness and scalability

Main competitors

Together AI, Fireworks AI, Replicate

Key partnerships

AMD (strategic ROCm collaboration, GLM 5.2 AMD-native private cloud), Hugging Face (fastest-growing inference partner), Z.ai (GLM 5.2 worldwide hosting partnership)

Notable customers

Sprout (usesprout.com) — high-volume Bulk Instance customer (>10B tokens/month)

Major milestones

Mar 2025: $5M Seed led by Airbus Ventures, 2025: Fastest-growing Hugging Face inference partner, Apr 2026: $20M Series A co-led by AMD Ventures & Airbus Ventures (~$25M total), 2026: Model library scaled to 48,000+ open-source models, Jun 2026: Presight AI-Startup Accelerator Cohort II, Jun 2026: Z.ai partnership for worldwide GLM 5.2 access (incl. AMD private cloud)

Growth metrics

Rapid adoption with over 200% growth in platform usage year-over-year

Market positioning

Positioned as a democratizer of AI, lowering barriers for both enterprise and emerging market users

Geographic focus

Global, with an emphasis on emerging markets

About Eugene Cheah

Eugene Cheah is the co-founder and CEO of Featherless.ai (formerly Recursal.ai). He has a strong technical background with extensive experience in building and leading software and AI companies. Before Featherless.ai, he co-founded and served as CTO at Uilicious, a UI testing automation company. He is also the creator of GPU.js and a co-lead of the RWKV, an open-source AI model project under the Linux Foundation. His career demonstrates a consistent focus on AI, infrastructure, and developing tools for software engineers.

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