Innodata Knowledge Services/ Inc.
AI and Data Services
Innodata Inc. is a pioneering data engineering and AI solutions company that provides AI and data services for healthcare and technology sectors, known for its rich history of innovation and expertise in transforming complex data into usable digital information.

Size

1K-5K
Private
50m-100m

Mission

About

Innodata Inc. offers AI and data services along with data engineering and intelligent automation for clients in healthcare and technology. The company operates using an offshore and nearshore delivery model and supports major global enterprises.

It is recognized for its advanced AI capabilities, with a strong focus on providing high-quality data necessary for training AI models and enhancing operational efficiencies.

Services

Innodata Inc. provides AI and data services supported by data engineering and intelligent automation. These services include data annotation and labeling, dataset curation and augmentation, and human-in-the-loop quality assurance. They are tailored to support complex data challenges and enhance AI model performance for various industries.

Capabilities

Data Engineering & ETL
Data Annotation & Labelling
Text & NLP Annotation
Synthetic Data Generation
Dataset Curation & Augmentation
Human-in-the-Loop QA
Model Fine-tuning & Optimisation

Industries Served

The company serves clients in healthcare and technology sectors. It has experience supporting major technology vendors and enterprises with services aligned to industry-specific requirements and technology platforms.

Unique Stregths

Innodata Inc. is known for its commitment to innovation and market leadership, offering clients a unique blend of AI technology and human expertise. Its approach includes leveraging proprietary platforms and high-value datasets, which help deliver consistent and scalable solutions.

Delivery Footprint

Headquartered in Ridgefield Park, New Jersey, the company operates using an offshore and nearshore delivery model. It serves clients across the globe, with teams working in hybrid environments depending on client needs.

Certifications

No items found.

Verticals

Healthcare & Life Sciences
Technology & SaaS

Clients

top-tier investment banks
hedge funds
What's the main service provided by
Innodata Knowledge Services/ Inc.
?
Innodata Knowledge Services, Inc. specializes in providing AI and data services, focusing on delivering solutions that enhance data management and operational efficiency. Their offerings encompass a wide range of sub-services, including data engineering and ETL processes, data annotation and labeling, text and natural language processing (NLP) annotation, synthetic data generation, dataset curation and augmentation, human-in-the-loop quality assurance, and model fine-tuning and optimization. This comprehensive approach ensures that they meet the complex data challenges faced by various industries.
What additional services does
Innodata Knowledge Services/ Inc.
provide?
When was
Innodata Knowledge Services/ Inc.
founded?
Innodata Knowledge Services, Inc. was established in 1988, making it a well-rooted player in the industry with over 35 years of experience. Since its inception, the company has evolved to adapt to the changing landscape of technology and data services, maintaining a strong focus on innovation and quality.
What industry verticals does
Innodata Knowledge Services/ Inc.
serve?
Innodata Knowledge Services, Inc. primarily serves clients in the Healthcare & Life Sciences and Technology & SaaS sectors. Their expertise in these verticals allows them to tailor their services to meet the specific needs and challenges faced by organizations operating within these industries.
What delivery model does
Innodata Knowledge Services/ Inc.
offer?
Innodata employs a delivery model that includes both offshore and nearshore services. Offshore delivery refers to providing services from a location that is significantly distant from the client, which often results in cost efficiencies and access to a diverse talent pool. Nearshore delivery, on the other hand, involves offering services from a geographically closer location, which can enhance communication and collaboration. This flexible approach enables Innodata to cater to the varying needs of its global clientele.
How many employees and/or seats does
Innodata Knowledge Services/ Inc.
have?
Innodata Knowledge Services, Inc. has a workforce comprising between 1,000 and 5,000 employees. This size allows the company to maintain a robust operational capacity while offering a wide range of services tailored to meet client demands across different industries.
Can
Innodata Knowledge Services/ Inc.
be considered a good service provider for startups?
While Innodata Knowledge Services, Inc. has a strong foundation and extensive service offerings, its scale and focus on complex data challenges may make it less ideal for startups that typically require more personalized and cost-effective solutions. Startups might find value in Innodata's expertise, but they may also benefit from partners that specialize in more agile, tailored services specifically designed for early-stage companies.
Can
Innodata Knowledge Services/ Inc.
be considered a good service provider for SMBs?
Innodata Knowledge Services, Inc. can be a suitable provider for small and medium businesses (SMBs) looking for scalable data services. Their diverse service portfolio, combined with experience in various sectors, positions them well to support the growth and flexibility needs of SMBs. However, smaller organizations should consider their specific requirements and budget constraints when engaging with a provider of Innodata's scale.
Can
Innodata Knowledge Services/ Inc.
be considered a good service provider for enterprises?
Innodata Knowledge Services, Inc. stands out as a reliable partner for enterprises and large companies seeking advanced data services. Their extensive experience in servicing major technology vendors, coupled with a strong emphasis on quality and innovation, makes them well-equipped to handle the sophisticated needs of large organizations. The company’s offshore and nearshore delivery models provide flexibility and scalability, which are critical for enterprises looking to optimize their data operations.
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