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Get Ahead in the Race for AI Innovation.
Win the Race of Generative Innovation.

Unleash the potential of your enterprise with Innodata’s solutions serving generative AI technology. Our comprehensive suite empowers you to integrate and fine tune existing or new models, allowing you to harness the full might of this growing technology. Revolutionize your operations and unlock a new level of generative AI with Innodata.

More Data, More Possibilities.

Data is your gold. But how do you mine it effectively and safely? That’s where we come in. Innodata offers state of the art data collection services that help you capture, manage, and leverage data from any source, at any scale, and in any format. With all languages supported, we deliver structured and compliant data for any AI and ML model initiative.

No Data? No Problem.

Synthetic data is the secret sauce for building industry-leading ML models. Data creation services generate synthetic data that mimics real-world data, but with more diversity and complexity. Train your models on the toughest situations and edge cases that you can’t find or afford in the real world, while improving reliability and accuracy. Build ML models that can handle any situation with confidence.

The Art of Making Data Smarter.

Don’t let poorly labeled data hold you back from unleashing the full potential of your AI models. Our trusted in-house expert annotators handle any type of data project, including complicated taxonomies or ontologies. Using the latest tools and technologies, you can count on accurate outputs for your data sets, for smarter and faster models.

Make Your Documents Work for You.

You know the messy document processes that steal time and energy from your team? Things like contracts, invoices, claims, statements, patents, and so on. Transform your document workflows with our proprietary technologies that tackle OCR, handwriting processing, table/form parsing, and even document image cleaning. Give your team their time back to do what they do best: process, innovate, and succeed.

Bringing Simplicity to Complexity.

You have data, but do you have insights? Whether you need to generate new ideas, optimize your workflows, manage your AI projects, integrate generative AI capabilities, or continually QA your models, we have you covered. Data transformation is the key to turning raw data into actionable information that can accelerate business performance.

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Global Multilingual Expertise

Fully Staffed experts with masters and doctorate degrees across medicine, science, technology, medicine, law, and finance. Trusted global delivery centers of 4,000+ inhouse domain experts provide 24/7 support in all major languages and dialects to assure success in a global marketplace.

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Trusted Accuracy and Reputation

Expect nothing less than excellence from Innodata’s proven history of delivering high-quality data and services with reliable AI/ML data solutions at 99.5% accuracy levels.

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Ethical and Sustainable AI

We aim to create and implement fair AI solutions that can benefit the next generation of society and technology — setting an industry-leading standard for accountability in the way we do business and relate to our customers, suppliers, and communities.

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Authoring Expertise

20+ years of content authoring, technical writing, copyediting, and summarization in multiple languages combined with 30 years servicing five of the world’s largest data analytics providers.

The Benefits of Partnering with Innodata

Bringing world-class services backed by our history and global reputation.

Select Classic & Generative AI Use Cases

Customer Success Stories

Ensuring Drug Integrity through Effective Data Collection

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Driving Market Expansion with Synthetic Data Collection

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Increasing Brand Safety in the Global Digital Media Landscape

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Leukemia Predictive Analytics on a Global Scale

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Strengthening LLMs through Fine-Tuning with a Leading Hyperscale Cloud Platform

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Enhancing AI Chatbot's Relevance and Accuracy through Code Review for Commercial Banking

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Ensuring Drug Integrity Through Effective Data Collection ​

A cutting-edge health data analytics company strives to optimize healthcare quality and minimize expenses by harnessing its extensive data resources. Continuous data collection is imperative for the company to continually enhance and expand its range of products.


Innodata is dedicated to curating, collecting, analyzing, and annotating consumer drug information sourced from prescribing documents, package labels, and FDA updates. This meticulous process is overseen by a proficient team of healthcare experts, including pharmacists and nurses, who diligently ensure the quality and accuracy of the content before it is seamlessly integrated into the client’s live platform.


The client prides itself on delivering industry-leading consumer drug analytics that are renowned for their exceptional data integrity, and this achievement is made possible through the invaluable contributions of Innodata.

Driving Market Expansion with Synthetic Data Collection

An innovative cloud computing company is revolutionizing its Document Intelligence API by embarking on a global expansion. The company recognizes the need for an extensive synthetic document collection to effectively train its models across diverse financial domains in multiple countries. All country-specific forms within this collection include meticulously simulated personal identified information (PII).


To fulfill this requirement, Innodata leverages the expertise of financial subject matter experts (SMEs). These professionals create thousands of populated forms that are commonly utilized in the banking, insurance, personal finance, and corporate finance sectors, among others.
As a result, the Synthetic

 

Collection has significantly bolstered the application of financial use cases in the United States, Europe, and Japan, opening up new avenues for success in these regions.

Increasing Brand Safety in the Global Digital Media Landscape

In response to the growing need for brand safety in digital advertising, a leading global digital media and analytics firm embarked on a mission to ensure the appropriate placement of ads across various social media platforms.


To address this challenge, Innodata implemented a comprehensive approach to guarantee brand safety and relevance on social media. Innodata deployed native video annotation teams in each target market, ensuring a deep understanding of local customs and sensitivities. These dedicated teams are responsible for evaluating the relevance and potential toxicity of content by meticulously assessing various factors.


The content assessment process conducted by Innodata covers a wide range of potential concerns, such as alcohol-related content, criminal activities, injuries, drug abuse, nudity, and abusive language. By thoroughly evaluating these aspects, the firm ensures that only suitable content is associated with their clients’ brands.


To cater to the unique demands of different markets, the AI models are regularly retrained for popular social media platforms, including TikTok, Instagram, YouTube, and Twitch. The retraining process incorporates market-specific considerations, enabling the firm to effectively expand into new regions such as the United States, the Middle East, and Latin America. This dynamic approach guarantees that the ad-placement models remain aligned with local customs and preferences, ensuring optimal brand safety and relevance.


Through its diligent focus on brand safety and the integration of cultural nuances, the global digital media and analytics firm, in collaboration with Innodata, has successfully enhanced their social media ad-placement models. By utilizing native video annotation teams and retraining AI models for different markets, the firm continues to expand its global presence while maintaining a strong commitment to brand safety and relevance.

Leukemia Predictive Analytics on a Global Scale

A leading provider of AI-powered leukemia diagnoses from flow cytometric data embarked on a global expansion journey. Their goal was to bring their cutting-edge analytics solution to healthcare providers worldwide, requiring a significant amount of annotated medical records in various languages.


To support this ambitious endeavor, Innodata deployed a team of healthcare subject matter experts who meticulously labeled medical records from Europe and the United States. This diverse dataset empowered the provider’s models to excel in different languages and regions.


Innodata’s commitment to data quality was unwavering, with routine benchmarks consistently yielding a remarkable accuracy rate of 99%. This ensured that the medical records provided by Innodata were easily processed by machines, enabling seamless integration into the company’s AI algorithms.


Thanks to these collaborative efforts, the predictive analytics provider has successfully expanded its reach across Europe and even secured approval from the esteemed US Food and Drug Administration (FDA). This significant milestone further solidifies the company’s position as a global leader in leukemia predictive analytics with their partnership with Innodata.

Strengthening LLMs through Fine-Tuning with a Leading Hyperscale Cloud Platform

A prominent player in the cloud computing industry collaborates with Innodata to assess and validate the output of their large language models. Continuous oversight and corrective measures are implemented to ensure the model’s accuracy and reliability.


Innodata’s role in this partnership involves conducting comprehensive output assessments, focusing on rating accuracy, truthfulness, and relevancy. Additionally, they address issues related to question ambiguity and the presence or absence of information in the LLM’s output. The evaluation spans various domains, including general information, toxicity and truthfulness, engineering, math, coding, medical, and legal topics. For tasks that involve extensive writing, native authors certified under the client’s guidelines take charge to maintain quality and adherence to specifications.


Through this ongoing fine-tuning program, the client has witnessed remarkable progress. Not only has the model’s accuracy improved significantly, but its functionality has also expanded. Consequently, the time-to-market for new services and features has been expedited, reinforcing the cloud platform’s competitive edge.

Enhancing AI Chatbot's Relevance and Accuracy Through Code Review for Commercial Banking

One of Canada’s leading commercial bank collaborates with Innodata to optimize their AI chatbot’s performance through comprehensive code review, ensuring precise and contextually appropriate responses.


When faced with user-generated queries, the conversational AI model generates code to formulate its replies. Leveraging the client’s established guidelines, Innodata’s proficient Engineering team diligently evaluates the generated code based on accuracy, presentation, tone, and creativity. By employing a 2-pass review process, each code undergoes assessment by two distinct engineers, promoting consistency and minimizing subjectivity.


As a result of this rigorous code review process, the chatbot’s capabilities continuously improve, enabling it to evolve into a more articulate, responsive, and sophisticated conversational partner. This positive transformation ultimately leads to heightened customer satisfaction, enhancing the overall user experience for the bank’s valued clients.