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Elastic integrates Google AI Studio with Elasticsearch API

Published 09/27/2024, 10:06 AM
ESTC
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SAN FRANCISCO - Elastic (NYSE: NYSE:ESTC), known for its search technologies, has announced the integration of its Elasticsearch Open Inference API with Google (NASDAQ:GOOGL)'s Gemini Developer API, enabling developers to utilize models from Google AI Studio. This collaboration allows for the interaction with data, experimentation, and application development using Google's AI models, including the Gemini 1.5 Flash.

Mat Velloso, Vice President of Product, AI/ML Developer at Google Cloud, highlighted the efficiency gains for developers, emphasizing the ability to quickly prototype generative AI experiments using Elastic's vector store capabilities. Shay Banon, Founder and CTO of Elastic, noted the integration's enhancement of Elasticsearch's advanced search retrieval features, facilitating the rapid progression of generative AI applications from testing to production.

The support for Google AI Studio via the Open Inference API is effective as of today, promising to provide developers with improved tools for building and iterating on AI-driven projects.

Elastic, self-described as the Search AI Company, offers solutions in search, observability, and security across its Elastic Search AI Platform. This platform is widely used by numerous companies, including over half of the Fortune 500, indicating Elastic's significant presence in the data search and analysis market.

The partnership with Google AI Studio, which releases models from Google DeepMind, represents a strategic move by Elastic to further empower developers with cutting-edge AI technology for real-time data interaction and application development at scale.

This news is based on a press release statement from Elastic N.V. and does not include subjective assessments or promotional content.

In other recent news, Elastic has made significant strides in enhancing its AI capabilities, expanding its reach in North America, and making its platform available for the U.S. Government. The company integrated Google Cloud's Vertex (NASDAQ:VRTX) AI into its Elasticsearch Open Inference API and Playground, enabling developers to build more sophisticated AI applications. In addition to this, Elastic has also partnered with Arrow Electronics (NYSE:ARW) to extend the reach of its security, observability, and search solutions across the U.S. and Canada. Elastic's Search AI Platform is now available within the AWS Marketplace for the U.S. Intelligence Community, providing government agencies access to Elastic's technology for large-scale data processing.

In terms of analyst perspectives, Guggenheim initiated coverage on Elastic with a positive outlook, highlighting the company's potential in the Generation Artificial Intelligence (GenAI) market. On the other hand, Canaccord Genuity maintained a Buy rating on Elastic but reduced the price target to $110 from the previous $125, citing near-term sales execution challenges and a more cautious macroeconomic outlook. These recent developments reflect Elastic's commitment to growth and innovation, even amid changing market conditions.

InvestingPro Insights

Elastic's recent collaboration with Google AI Studio aligns well with its market position and financial performance. According to InvestingPro data, Elastic boasts a market capitalization of $8.03 billion, reflecting its significant presence in the search technology sector. The company's revenue growth of 18.72% over the last twelve months demonstrates its ability to expand its business, likely driven by innovations such as the integration with Google's Gemini Developer API.

InvestingPro Tips highlight that Elastic holds more cash than debt on its balance sheet, indicating a strong financial position that could support further technological advancements and partnerships. Additionally, 20 analysts have revised their earnings upwards for the upcoming period, suggesting positive expectations for Elastic's future performance.

However, investors should note that Elastic is trading at a high earnings multiple, with a P/E ratio of 128.35. This valuation may reflect the market's optimism about the company's growth potential, particularly in light of its AI-driven initiatives.

For those interested in a deeper analysis, InvestingPro offers 7 additional tips for Elastic, providing a more comprehensive view of the company's financial health and market position.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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