Prem Labs

Prem Labs

Verified
Offering on-premise AI solutions with customizable models, ensuring data sovereignty and control over intellectual capital while transitioning from OpenAI. Learn more

Launch date
Employees
Market cap
-
Net debt
-
Enterprise valuation
$56—84m (Dealroom.co estimates Apr 2024.)
San Francisco California (HQ)
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DateInvestorsAmountRound
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$14.0m

Seed
Total Funding000k

Recent News about Prem Labs

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More about Prem Labs
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Prem Labs, a Delaware-based company established to spearhead innovation in generative AI, offers businesses the tools and technologies needed to integrate and develop state-of-the-art AI solutions. With a focus on autonomy and customization, Prem Labs provides a comprehensive platform—Prem Platform—that allows businesses to experiment, test, and deploy AI models effectively and efficiently.

The core offerings of Prem Labs include:

Prem Platform: A development platform that supports the integration of generative AI into business applications, enabling users to test multiple models, launch the best-suited ones, and integrate AI functionalities seamlessly using JavaScript and Python SDKs.

Prem Solution: Customized AI solutions tailored to meet specific business needs, focusing on model fine-tuning and training to optimize performance without compromising privacy or control.

Prem Models: A suite of foundational open-source Small Language Models (SLMs) that enhance business applications by providing targeted fine-tuning and retrieval-augmented generation tasks.

Prem Compute: A dedicated GPU cluster service that caters specifically to the computational needs of AI development, ensuring clients have the necessary resources to build and maintain their AI infrastructure.

Prem Labs recently secured $14 million in seed funding to expand its operations and R&D efforts, reflecting a strong commitment to advancing open-source AI technologies. This funding will further enhance their capabilities in providing on-premise AI deployments, giving clients complete control over their AI models and data.