Published Date: December 14, 2023 10:50 AM Updated Date: December 14, 2023 10:51 AM
Correction and fact check date: December 14, 2023, 10:50 AM
briefly
AI startup Delphina has raised $7.5 million to develop an LLM-based co-pilot to help companies build AI models.
Artificial intelligence (AI) startup Delphina raises $7.5 million in funding from investors including Radical Ventures, Costanoa Ventures and Stanford professor Fei-Fei Li, an LLM-based co-pilot designed to help companies build AI models across a variety of fields. developed. From finance to retail.
Delphina aims to accelerate the building and deployment of predictive AI models through co-piloting. The company’s goal is to support companies lacking a dedicated AI team in deploying models for applications such as forecasting, personalization, price prediction, and fraud detection by identifying and preparing appropriate data and facilitating model training.
The Silicon Valley startup, founded by two former Uber data and engineering managers known for their “time-of-arrival” prediction work, plans to direct the capital raised to hire talent and accelerate product development in the San Francisco Bay Area.
“Companies have vast amounts of data, but often have difficulty leveraging it for AI. Now large-scale language models like GPT-4 allow us to close this gap, and Delphina accelerates the speed from months to days or even hours.”
Jeremy Hermann, co-founder and CEO of Delphina, said:
The company’s ultimate goal is to enable more businesses to leverage the potential of AI in their operations.
Currently working with five initial customers, including insurance companies, logistics companies, and e-commerce marketplaces, Delphina expects to launch its products widely in late 2024.
Growth potential of an LLM for businesses
Large language models (LLMs) find diverse applications across industries by efficiently recognizing, summarizing, translating, predicting, and generating text and other content based on insights derived from large data sets.
Large companies with significant resources utilize LLMs across various departments. They benefit from the flexibility to customize and integrate the LLM into existing frameworks.
In contrast, smaller companies that lack the capacity to engage data scientists and machine learning engineers deploy LLMs strategically. This may include leveraging LLM for customer engagement on your website, automating routine communication tasks, or extracting insights from customer feedback.
Recently, another AI startup, Essential, raised $56.5 million in funding to develop its ‘Enterprise Brain’ technology tailored for enterprise functions. The company’s LLM aims to help users tackle increasingly complex tasks, leverage essential skills, and expand their organization’s impact on society.
The new investment will allow Delphina to help more companies unlock the full potential of AI.
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Alisa is a reporter for Metaverse Post. She focuses on everything related to investing, AI, metaverse, and Web3. Alisa holds a degree in Art Business and her expertise lies in the fields of art and technology. She developed a passion for journalism through writing about VCs, notable cryptocurrency projects, and participating in science writing.
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alice davidson
Alisa is a reporter for Metaverse Post. She focuses on everything related to investing, AI, metaverse, and Web3. Alisa holds a degree in Art Business and her expertise lies in the fields of art and technology. She developed a passion for journalism through writing about VCs, notable cryptocurrency projects, and participating in science writing.
more articles