Welcome to our dedicated page for Innodata news (Ticker: INOD), a resource for investors and traders seeking the latest updates and insights on Innodata stock.
Innodata Inc. (Nasdaq: INOD) is a global data engineering and AI services company whose news flow centers on Generative AI initiatives, data engineering developments, and financial performance. The company regularly issues earnings releases detailing quarterly revenue, net income, and non-GAAP metrics such as Adjusted EBITDA, Adjusted Gross Profit, and Adjusted Gross Margin, along with management commentary on demand trends and guidance for revenue growth.
News about Innodata often highlights its role in supporting AI builders and adopters through data preparation, annotation, and AI model support services. The company’s announcements describe work in pre-training data, Enterprise AI, Agentic AI, and model safety, as well as the launch and progress of Innodata Federal, its government-focused unit serving U.S. defense, intelligence, and civilian agencies with AI data engineering, Generative AI, and related capabilities.
Investors following INOD news can expect updates on new business wins, relationships with technology companies and enterprises, and strategic initiatives in areas such as sovereign AI programs and enterprise AI practices. The company also reports on participation in investor conferences, leadership and board changes, and recognition by third parties, such as inclusion in AI-focused industry notes and awards received by its operating subsidiaries.
This news page aggregates Innodata’s press releases and related coverage so readers can monitor financial results, strategic moves in AI and data engineering, government-focused activities through Innodata Federal, and corporate governance developments. For investors, analysts, and observers of the AI services space, the INOD news stream provides ongoing insight into how the company presents its position and progress within the data processing and AI markets.
Innodata Inc. (NASDAQ:INOD) announced that its 2021 annual meeting of shareholders is scheduled for June 8, 2021, at 11:00 AM Eastern Time, to be held virtually due to COVID-19 concerns. Shareholders of record as of April 12, 2021 are eligible to vote. Innodata is a leading data engineering company that utilizes machine learning and artificial intelligence technologies to assist global clients with data challenges.
Innodata Inc. (NASDAQ:INOD) recently announced an amendment to its contract with a leading social media platform, expanding AI services worth up to $7 million for 2021. This amendment could potentially increase revenue from this client by 35 times compared to the previous year. The demand for AI services in social media is projected to reach $2.6 billion by 2023, reflecting a CAGR of 28.6%. Innodata specializes in AI solutions that enhance algorithm performance, improve user experience, and combat misinformation.
Innodata Inc. (NASDAQ: INOD) reported Q4 2020 revenues of $15.3 million, marking a 5% increase from Q3 2020 and up from $14.7 million in Q4 2019. Net income reached $1.2 million or $0.05 per basic share, improving from a net loss of $0.5 million year-over-year. For the full year, revenues grew to $58.2 million, a 4% increase from 2019, with net income of $0.6 million, recovering from a $2.1 million loss in 2019. The company plans to expand its sales team to 98 members by year-end to capitalize on growth opportunities in its industry.
Innodata Inc. (NASDAQ:INOD) announced it will report its Fourth Quarter and Fiscal Year 2020 results on March 11, 2021, before the market opens. A press release will be accessible on its website, and an investor conference call is set for 11:00 AM ET on the same day, with call-in numbers provided. The company is recognized for its leadership in data engineering, combining machine learning with a global expert workforce. It underscored potential risks including reliance on project-based work and client concentration that may affect future performance.
On November 12, 2020, Innodata (NASDAQ: INOD) reported a 5% increase in third-quarter revenue, reaching $14.6 million, up from $13.9 million in Q2 2020. Net income for the quarter was $0.2 million, a rebound from previous net losses. Year-to-date, total revenue rose 4% to $42.9 million. Cash reserves increased to $15.3 million by September 30, 2020. CEO Jack Abuhoff announced plans to expand the sales team from 15 to 58, aiming for 20% growth. The company also expanded its AI services client base and is enhancing customer engagement in AI data preparation.
Innodata Inc. (NASDAQ:INOD) has announced the rescheduling of its Third Quarter 2020 earnings release to November 12, 2020, before market open. The announcement will be available on their website. An investor conference call is set for the same day at 11:00 AM ET, with call-in numbers provided for both domestic and international participants. Investors can also access a live Webcast, which will be in listen-only mode. This change underscores Innodata's commitment to transparency and investor engagement.
Innodata Inc. (NASDAQ:INOD) will announce its Third Quarter 2020 results on November 5, 2020, before market opening. The release will be accessible on their website, www.innodata.com.
The company will host an investor conference call at 11:00 AM ET the same day. Call-in numbers are: 1-800-263-0877 (Domestic) and 1-646-828-8143 (International). A replay will be available for 30 days. Investors can also join the live Webcast via the Investor Relations section of their website.
Innodata Inc. (NASDAQ: INOD) announced the appointment of Mark Spelker as Executive Vice President and Chief Financial Officer, succeeding Robert O'Connor. Spelker brings over 20 years of experience from CohnReznick LLP, including eight years as National Director of SEC Services. His familiarity with Innodata, having served as its engagement partner, positions him to leverage growth opportunities in AI and machine learning. CEO Jack Abuhoff highlighted Spelker's unique qualifications to enhance the company's market positioning amid rapidly evolving digital data landscapes.