Innodata Overview
Welcome AI & Big Data Expo Guest
Discover Innodata’s Full Suite of Data-Centric Services & Platforms
Innodata Overview
Welcome AI & Big Data Expo Guest
Discover Innodata’s Full Suite of Data-Centric Services & Platforms
End-to-End AI-Development
Generative ai services
Bring intelligence to your enterprise processes and products with Innodata’s Generative AI services. Whether you have existing generative AI models or want to integrate into your operations, we offer a comprehensive suite of services to unlock their full potential.
Data Collection Services
Innodata specializes in sourcing proprietary and public datasets across any modality, vertical, and language. Innodata can provide the diverse image, video, text, and voice data required for successful AI and ML model development. What can’t be sourced can be created with our synthetic data services.
Data Annotation Services
Combining ML-enabled platforms and subject matter experts (SMEs), Innodata delivers the highest quality ground-truth training data. Leveraging a sophisticated ML-powered workbench, our 4000+ SMEs seamlessly ingest, assess, and synthesize all data types to generate pristine text, image, video, or audio datasets.
AI Services
Innodata’s custom AI implementation services merge human expertise and machine learning technology to derive business intelligence from unstructured documents. We enable end-to-end work- flow automation of document-based processes to reduce waste, increase value, and deliver insights for informed decision-making.
Data Annotation Platform
Innodata’s web-based self-serve data annotation platform supports the creation of expertly labeled and annotated data at scale. Users can upload highly complex documents and unstructured content to generate more informed insights, improve model accuracy, and deliver better customer experiences.
Document Intelligence Platform
With Innodata’s Document Intelligence ecosystem, users can extract data from any complex document in seconds. Powered by industry-leading NLP and OCR ML algorithms, users’ models will continue improving in accuracy and confidence level.
Delivering the Promise of AI to the World's Most Prestigious Companies
Start Transforming Your Data-Centric AI Initiatives With Innodata
WHAT YOU NEED TO KNOW
Frequently Asked Questions
- Innodata’s staff of 4,000+ in-house SMEs hold advanced degrees in healthcare, medicine, sciences, finance, and law and are proficient in 40+ languages. To ensure quality, SMEs complete a rigorous training program with use case-specific training modules and receive weekly audit reports, random QC spot checking, and performance evaluations based on KPIs.
- Innodata’s AI-driven platforms deliver cutting-edge tooling for all data types and unparalleled control of collection, annotation, and automation workflows that can integrate seamlessly into your existing workflows. New time-to-value enhancers are constantly developed to augment and streamline work. Systems are production ready to provide infinite scale.
- Innodata also offers multi-pass arbitrated annotation by experts-in-the-loop to drive better model performance.
Innodata works with clients to set project service-level agreements (SLAs) that cover turn-around time, quality metric benchmarks, language, preferred locality, volume, and level of staff expertise to ensure success.
Depending on the volume and scale of a project, Innodata provides a pilot to scope and prove the ability to meet quality benchmarks.
To support qualifying startups, Innodata offers special discounts, timelines, and packages.
Innodata stays up-to-date with compliance measures and the following certifications: HIPAA | ISO/IEC 27001: 2013 | SSAE 18 SOC-1 Type-2 | DPA | Sarbanes Oxley | GDPR
Innodata offers flexible pricing models according to a Full-time Equivalent (FTE) model and a unit/volume-based model.
Client Testimonials
Our machine learning projects are highly dependent on accurately annotated data, and Innodata has a wide reach to experts that can make sense of some of the complex datasets we work with.
Rahul Garg
Chief Product Officer, Pypestream
Innodata has been instrumental for us as an SDO (Standards Developing Organization) as we transform our production process into a digital-first operation, allowing us to build new and better products as a result of their diligent work digitizing our content. Their production team is also adept at just about any technical task we send their way, saving our team valuable time and money.
Dan Berger
Senior Manager of Production
Innodata’s data transformation platform has helped us drive innovation and productivity that’s only possible by expertly combining AI and human expertise.
Patricia Smith
Bank of New York Mellon
