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INOD Stock Price Correlated With Innodata Financials
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INOD Income Statement
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COMPANY PROFILE
1. Description of Business and Summary of Significant Accounting Estimates and Policies Description of Business - Innodata Inc. (including its subsidiaries, the “Company”, “Innodata”, “we”, “us” or “our”) is a global data engineering company. The Company’s mission is to deliver the promise of AI to the world’s most prestigious companies. The Company provides AI-enabled software platforms and managed services to companies that require high-quality data for training AI and machine learning (ML) algorithms. The Company also provides AI digital transformation solutions and platforms to help companies apply AI/ML to real-world problems relating to analyzing and deriving insights from documents. For industry-specific, document-intensive industry business processes, the Company provides AI-augmented software-as-a-service (SaaS) platforms and discrete managed services. The Company’s platforms and services are powered by Goldengate, its proprietary AI/ML platform, as well as other technologies it has developed. In addition, the Company brings to bear more than 4,500 employees spanning eight countries with expertise in data pertaining to many professional fields. The Company’s hybrid approach of using AI/ML in conjunction with human experts enables the Company to deliver superior data quality with even the most complex and sensitive data. The Company developed its capabilities and honed its customer- and quality-centric culture progressively over the last 30 years creating high-quality data for many of the world’s most demanding information companies. Approximately six years ago, the Company formed Innodata Labs, a research and development center, to research, develop and apply machine learning and emerging AI to its large-scale, human-intensive data operations. In 2019, the Company began packaging the capabilities that emerged from its R&D efforts in order to align with several fast-growing new markets and help companies use AI/ML to drive performance benefits and business insights. The Company anticipates this strategy will enable it to accelerate growth. AI Data Annotation The Company trains AI algorithms for social media companies, robotics companies, financial services companies, and many others, working with images, text, video and audio. Data sciences teams seek partners that can perform data preparation functions for them at large-scale and at high quality, while using automated tools to minimize cost. Moreover, as AI projects become more specialized and mission-critical, data preparation is becoming increasingly complex, requiring deep domain knowledge and an infrastructure in which data security is assured. The Company utilizes a variety of leading third-party image and video annotation tools. For text, the Company uses its proprietary data annotation platform that incorporates AI to reduce cost while improving consistency and quality of output. The Company’s proprietary text annotation platform features auto-tagging capabilities that apply to both classical and generative AI tasks. It also encapsulates many of the innovations the Company has conceived of in the course of its 30-year history of creating high-quality data. AI Digital Transformation The Company also provides AI solutions and platforms to companies that intensively process textual data and seek to obtain the benefits of AI/ML technologies without having to develop AI/ML engineering capabilities in-house. For such companies, the Company often integrates one or more of its pre-trained text processing algorithms as a foundation for an overall solution. The Company’s algorithms are accessible as microservices via application programming interfaces (APIs), enabling easy integration. In conjunction with AI digital transformation, the Company often provides a range of data engineering support services, including data transformation, data curation, data hygiene, data consolidation, data compliance, and master data management. The Company’s customers span a dive
Free historical financial statements for Innodata Inc. See how revenue, income, cash flow, and balance sheet financials have changed over 51 quarters since 2012. Compare with INOD stock chart to see long term trends.
Data imported from Innodata Inc SEC filings. Check original filings before making any investment decision.