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Upturn AI SWOT - About
INOD 
Innodata Inc (INOD)
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Upturn Advisory Summary
10/17/2025: INOD (4-star) is a STRONG-BUY. BUY since 26 days. Simulated Profits (26.98%). Updated daily EoD!
Upturn Star Rating
Above Average Performance
These Stocks/ETFs, based on Upturn Advisory, frequently surpass the market, reflecting reliable and trustworthy advice.
Number of Analysts
5 Analysts rated it
Limited analyst coverage, niche firm, research info may be scarce.
1 Year Target Price $78
1 Year Target Price $78
| 3 | Strong Buy |
| 2 | Buy |
| 0 | Hold |
| 0 | Sell |
| 0 | Strong Sell |
Analysis of Past Performance
Type Stock | Historic Profit 39.18% | Avg. Invested days 26 | Today’s Advisory Regular Buy |
Upturn Star Rating | Upturn Advisory Performance  3.0 | Stock Returns Performance  3.0 |
| Profits based on simulation | Last Close 10/17/2025 |
Key Highlights
Company Size Mid-Cap Stock | Market Capitalization 2.53B USD | Price to earnings Ratio 61.58 | 1Y Target Price 78 |
Price to earnings Ratio 61.58 | 1Y Target Price 78 | ||
Volume (30-day avg) 5 | Beta 2.96 | 52 Weeks Range 18.24 - 93.85 | Updated Date 10/17/2025 |
52 Weeks Range 18.24 - 93.85 | Updated Date 10/17/2025 | ||
Dividends yield (FY) - | Basic EPS (TTM) 1.29 |
Analyzing Revenue: Products, Geography and Growth
Revenue by Products
Product revenue - Year on Year
Revenue by Geography
Geography revenue - Year on Year
Earnings Date
Report Date - | When - | Estimate - | Actual - |
Profitability
Profit Margin 18.71% | Operating Margin (TTM) 15.26% |
Management Effectiveness
Return on Assets (TTM) 25.09% | Return on Equity (TTM) 74.32% |
Valuation
Trailing PE 61.58 | Forward PE 74.63 | Enterprise Value 2728056819 | Price to Sales(TTM) 11.09 |
Enterprise Value 2728056819 | Price to Sales(TTM) 11.09 | ||
Enterprise Value to Revenue 11.96 | Enterprise Value to EBITDA 59.13 | Shares Outstanding 31845622 | Shares Floating 30602687 |
Shares Outstanding 31845622 | Shares Floating 30602687 | ||
Percent Insiders 4.42 | Percent Institutions 53.04 |
Upturn AI SWOT
Innodata Inc
Company Overview
History and Background
Innodata Inc. was founded in 1988. Initially focused on data entry and document conversion, it evolved into a provider of digital transformation solutions, leveraging AI and machine learning. Key milestones include strategic acquisitions and expansion into new industries.
Core Business Areas
- Digital Transformation Solutions: Innodata offers data engineering, data annotation, and AI-powered solutions to help organizations transform their business processes and improve decision-making.
- Content Services: Innodata provides services for content creation, enrichment, and management, enabling clients to deliver engaging and relevant content experiences.
- Data Annotation Services: Innodata provides training data for AI companies, training data sets to support a wide array of AI applications.
Leadership and Structure
The leadership team consists of experienced executives with expertise in technology, operations, and finance. The organizational structure is designed to support its global operations and client-centric approach.
Top Products and Market Share
Key Offerings
- Innodata Cognitive AI Platform: This platform provides AI-powered solutions for various industries, including publishing, financial services, and healthcare. Market share information is not publicly available, but its competitors include companies like Appen and TELUS International. Revenue tied to the product are not specifically broken out in financial reports.
- Content Transformation Services: Innodata provides services for converting content into digital formats, enriching content with metadata, and managing content workflows. Market share information is not publicly available. Competitors include companies like Integra and Cigniti Technologies. Revenue tied to the product are not specifically broken out in financial reports.
- Data Annotation Services: Providing high-quality training data for various AI use cases. Not specific market share is publicly available. Competitors: Scale AI, Labelbox.
Market Dynamics
Industry Overview
The digital transformation market is experiencing significant growth, driven by the increasing adoption of AI, cloud computing, and data analytics. Businesses are seeking solutions to streamline operations, improve customer experiences, and gain a competitive edge.
Positioning
Innodata Inc. is positioned as a provider of AI-powered digital transformation solutions, catering to organizations across various industries. The company differentiates itself through its expertise in data engineering, content services, and AI-driven automation.
Total Addressable Market (TAM)
The TAM for AI-powered digital transformation is expected to reach hundreds of billions of dollars in the coming years. Innodata Inc. is positioned to capture a portion of this market through its specialized solutions and domain expertise.
Upturn SWOT Analysis
Strengths
- Strong expertise in data engineering and AI
- Comprehensive suite of digital transformation solutions
- Global delivery capabilities
- Long-standing relationships with enterprise clients
Weaknesses
- Limited brand recognition compared to larger competitors
- Dependence on a few key clients
- Smaller market capitalization limiting access to capital
Opportunities
- Expanding AI market
- Increasing demand for digital transformation services
- Acquisitions of complementary technologies
- Growing adoption of cloud-based solutions
Threats
- Intense competition from larger players
- Rapid technological advancements
- Economic downturn impacting client spending
- Data security and privacy concerns
Competitors and Market Share
Key Competitors
- ACN
- IBM
- G
Competitive Landscape
Innodata Inc. faces competition from larger players with broader service offerings and greater brand recognition. However, the company differentiates itself through its specialized expertise in data engineering, content services, and AI-driven automation. INOD has the advantage of being much smaller than ACN and IBM. INOD must maintain technical relevance to compete.
Growth Trajectory and Initiatives
Historical Growth: Innodata Inc. has experienced moderate growth in recent years, driven by the increasing demand for digital transformation services. Revenue growth has been fueled by new client acquisitions and expansion of existing relationships.
Future Projections: Analyst estimates suggest continued growth for Innodata Inc., driven by the expanding AI market and increasing demand for data engineering and content services. Revenue growth is expected to be in the double digits over the next few years.
Recent Initiatives: Recent initiatives include launching new AI-powered solutions, expanding partnerships with technology providers, and investing in talent development.
Summary
Innodata Inc. is a player in the digital transformation market, leveraging its expertise in data and AI. The company shows growth potential as the AI market expands. While smaller than competitors, its specialized expertise offers an advantage. Maintaining technological relevance and acquiring new clients are crucial for sustained growth.
Peer Comparison
Sources and Disclaimers
Data Sources:
- SEC Filings
- Company Website
- Analyst Reports
- Market Research Reports
Disclaimers:
This analysis is based on publicly available information and analyst estimates. Actual results may vary. This is not financial advice.
AI Summarization is directionally correct and might not be accurate.
Summarized information shown could be a few years old and not current.
Fundamental Rating based on AI could be based on old data.
AI-generated summaries may have inaccuracies (hallucinations). Please verify the information before taking action.
About Innodata Inc
Exchange NASDAQ | Headquaters Ridgefield Park, NJ, United States | ||
IPO Launch date 1993-08-10 | President, CEO & Director Mr. Jack S. Abuhoff J.D. | ||
Sector Technology | Industry Information Technology Services | Full time employees 6597 | Website https://www.innodata.com |
Full time employees 6597 | Website https://www.innodata.com | ||
Innodata Inc. operates as a data engineering company in the United States, the United Kingdom, the Netherlands, Canada, and internationally. The company operates through three segments: Digital Data Solutions (DDS), Synodex, and Agility. The DDS segment engages in the provision of artificial intelligence (AI) data preparation services; collecting or creating training data; annotating training data; and training AI algorithms for its customers, as well as AI model deployment and integration services. This segment also provides a range of data engineering support services, including data transformation, data curation, data hygiene, data consolidation, data extraction, data compliance, and master data management. The Synodex segment offers an industry platform that transforms medical records into useable digital data with its proprietary data models or client data models. The Agility segment provides an industry platform that offers marketing communications and public relations professionals to target and distribute content to journalists and social media influencers; and to monitor and analyze global news channels, such as print, web, radio, and TV, as well as social media channels. It serves banking, insurance, financial services, technology, digital retailing, and information/media sectors through its professional staff, senior management, and direct sales personnel. The company was formerly known as Innodata Isogen, Inc. and changed its name to Innodata Inc. in June 2012. Innodata Inc. was incorporated in 1988 and is headquartered in Ridgefield Park, New Jersey.
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