Published on March 26, 2024, 10:38 am

Generative AI is currently a hot topic in the tech world, with numerous players vying for a piece of the pie. While big names like OpenAI, Anthropic, Microsoft, Meta, Google, and Amazon dominate the scene, there’s a wave of startups delving into the generative AI landscape from various angles.

One of these startups making waves is Despite not having the same brand recognition as some industry giants, boasts the largest open-source model API with a user base exceeding 12,000. This traction has caught the eye of investors, leading to a successful fundraising round that has seen the company secure $25 million in investments.

The approach taken by sets it apart in the market. Rather than building models from scratch, the company focuses on fine-tuning existing models to suit specific business needs. By offering an inference engine API that supports off-the-shelf and tuned models, or empowers customers to tailor models themselves, opens up possibilities for developers to swiftly integrate generative AI capabilities into their applications.

One standout feature of’s strategy is its emphasis on allowing companies to experiment with multiple models within a manageable token range of 7 billion to 13 billion tokens. This focused approach contrasts sharply with massive models like ChatGPT4 that contain over 1 trillion tokens. By narrowing down the model size and focusing on specific data sets tailored to distinct business use cases, developers can achieve better results efficiently.’s CEO Lin Qiao brings valuable expertise from her time at Meta in spearheading AI platform development efforts. Leveraging this experience, she has architected an API-driven solution aimed at democratizing access to powerful AI tools for businesses without requiring resources on the scale of tech giants like Meta.

The recent investment boost of $25 million in 2022 led by Benchmark and supported by Sequoia Capital demonstrates strong confidence in’s vision. The strategic involvement of angel investors such as Databricks and Snowflake further underscores how this startup is poised to enable users to leverage data storage tools effectively towards optimizing their operations through generative AI implementations.


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