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Innodata Inc. (INOD) Q3 2024 Earnings Call Transcript Summary

Innodata Inc. (INOD) Q3 2024 Earnings Call Transcript Summary

Innodata Inc.(INOD)2024年第三季度业绩会简报
moomoo AI ·  11/09 17:37  · 电话会议

The following is a summary of the Innodata Inc. (INOD) Q3 2024 Earnings Call Transcript:

以下是innodata公司(INOD)2024年第三季度业绩会简况:

Financial Performance:

财务表现:

  • Q3 2024 revenue reached $52.2 million, a year-over-year increase of 136%.

  • Adjusted EBITDA for Q3 was $13.9 million, or 27% of revenue, significantly up from last year.

  • Net income for Q3 was $17.4 million, benefiting from a deferred tax asset recognition, up significantly from $371,000 in the same period last year.

  • 2024年第三季度营业收入达到5220万美元,同比增长136%。

  • 第三季度调整后的EBITDA为1390万美元,占营业收入的27%,较去年大幅增加。

  • 第三季度净利润为1740万美元,受惠于递延税款资产认可,较去年同期的37.1万美元大幅增加。

Business Progress:

业务进展:

  • Innodata has expanded its client base and deepened its engagements with Big Tech companies, focusing on data engineering for generative AI models.

  • Signed agreements and initiated pilots likely to result in substantial revenue growth, including a new engagement with a major social media platform and ongoing expansions with existing Big Tech clients.

  • Broadened federal government engagement with a new deal to provide news briefs and media monitoring, leveraging AI capabilities.

  • innodata已扩大客户群,并加深与大型科技公司的合作,专注于为生成式人工智能模型进行数据工程。

  • 签署协议并启动试点项目可能导致大幅增长的营业收入,包括与一家主要社交媒体平台的新合作以及与现有大型科技客户的持续扩展。

  • 通过与一项新协议,扩大了与联邦政府的接触范围,提供新闻简报和媒体监测服务,利用人工智能功能。

Opportunities:

机会:

  • Expecting to capitalize on the growing investments of Big Tech companies in generative AI, particularly in creating supervised fine-tuning data crucial for training AI models.

  • Expansion into enterprise services targeting businesses for adopting generative AI with comprehensive support from integration, customization, and strategic consulting.

  • Continued development of enterprise platforms like Agility, with enhancements to leverage generative AI for specialized industry applications.

  • 预计将利用大科技公司对生成式人工智能的增加投资,特别是创建监督式精细调整数据,对培训人工智能模型至关重要。

  • 扩展到面向企业的服务,针对采用生成式人工智能的企业,提供全面的整合、定制和战略咨询支持。

  • 继续开发像“Agility”这样的企业平台,增强利用生成式人工智能,用于专业行业应用。

Risks:

风险:

  • No explicit risks detected.

  • 没有发现任何明确风险。

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提示:本文由人工智能生成。内容准确性无法完全保证。如需更全面详情,请参阅IR网站。本文仅供投资者参考,不具有任何指导或推荐建议。

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