Connect with us

Hi, what are you looking for?

Top Stories

Yang Hongxia’s InfiX.ai Aims for Decentralized Generative AI with $250M Valuation

InfiX.ai, founded by Yang Hongxia, secures a $250M valuation to pioneer decentralized generative AI, aiming to enable domain-specific models for businesses.

In a landscape increasingly dominated by large tech firms, emerging startups are seeking to carve out niche spaces within the generative AI market. One such startup is InfiX.ai, founded by Yang, who has an extensive background in developing AI models at ByteDance and Alibaba Group Holding’s Damo Academy. In a recent interview with the South China Morning Post, Yang outlined her vision for InfiX.ai, which aims to allow businesses to create their own “domain-specific” large language models (LLMs) that could work alongside existing commercial AI solutions.

According to InfiX.ai’s landing page on developer platforms GitHub and Hugging Face, the startup’s research aspires to pave the way for decentralized generative AI. This approach envisions a future where all businesses can access, contribute to, and benefit from AI technologies equitably. Yang emphasized that she anticipates both consumers and enterprises—particularly small and medium-sized businesses—will have their own domain-specific models within the next five years.

InfiX.ai, which attained a valuation of $250 million following its initial funding round, aims to address what Yang describes as “the last mile of generative AI.” The company seeks to democratize access to advanced AI applications, making them more accessible to organizations of various sizes. In her words, “Over the next five years, I expect consumers as well as enterprises, particularly small and medium-sized enterprises, to have their own domain-specific models.”

This mission resonates with the objectives of similar organizations, such as Thinking Machines Lab, co-founded by former OpenAI CTO Mira Murati. This AI research and product startup is reportedly in discussions for new funding that could boost its valuation to approximately $50 billion. Thinking Machines Lab emphasizes its commitment to creating a future where everyone can harness AI for their unique needs and goals.

InfiX.ai’s technological approach includes innovative methods aimed at developing powerful AI systems that require minimal computational resources. The company uses techniques such as FP8 precision training, edge AI deployment, and privacy-preserving solutions to achieve this goal. These advancements are intended to make sophisticated AI tools available to organizations of all sizes, aligning with the growing trend of democratizing AI technology.

As AI continues to permeate various industries, the emergence of startups like InfiX.ai signifies a shift toward more specialized and accessible AI solutions. By enabling businesses to develop tailored models, these companies are not only filling gaps left by larger tech firms but are also fostering an environment where innovation can flourish across diverse sectors.

With the dual objectives of decentralization and accessibility, InfiX.ai and similar startups could play a pivotal role in shaping the future of generative AI, ensuring that its benefits reach a broader audience.

See also
Staff
Written By

The AiPressa Staff team brings you comprehensive coverage of the artificial intelligence industry, including breaking news, research developments, business trends, and policy updates. Our mission is to keep you informed about the rapidly evolving world of AI technology.

You May Also Like

Top Stories

Hugging Face unveils a new collection of tools for watermarking AI-generated content, aiming to combat deepfakes and protect creators' rights against misuse.

Top Stories

Salesforce Research's CodeT5 model surges to 22,172 monthly downloads, outperforming OpenAI's models with a 35% HumanEval pass rate and 51.5 billion tokens trained.

AI Generative

MiniMax targets US$538M by pricing its Hong Kong IPO at HK$165 per share, reflecting strong demand amid China's AI sector boom.

Top Stories

Nvidia targets a fair value of $235 amid a $72 billion profit report, as it unveils its AI roadmap at CES 2026, signaling strong...

AI Finance

Benchmark boosts Broadcom's price target to $485 following a 76% surge in AI chip revenue, while the company faces potential margin pressures ahead.

Top Stories

DeepSeek launches its mHC architecture, enhancing large-model training efficiency while reducing computational costs, with consistent performance across 3-27 billion parameter models.

Top Stories

OpenAI's CLIP model achieves an impressive 81.8% zero-shot accuracy on ImageNet, setting a new standard in image recognition technology.

AI Technology

ByteDance plans to invest $14 billion in Nvidia AI chips by 2026, aiming to enhance its computing power and solidify its lead in AI...

© 2025 AIPressa · Part of Buzzora Media · All rights reserved. This website provides general news and educational content for informational purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of the information presented. The content should not be considered professional advice of any kind. Readers are encouraged to verify facts and consult appropriate experts when needed. We are not responsible for any loss or inconvenience resulting from the use of information on this site. Some images used on this website are generated with artificial intelligence and are illustrative in nature. They may not accurately represent the products, people, or events described in the articles.