Data Engineering for the Next Generation of AI
Innodata solves your toughest data engineering challenges using artificial intelligence and human expertise.
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Innodata provides the full-suite of services and products you need to power your data-centric AI initiatives.
AI Lifecycle Solutions
Generative AI Services
Whether your company chooses to build its own models, fine-tune existing models, or adopt a large language model as-is, Innodata offers end-to-end services and support.
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Build, Maintain & Augment Your Models
Data Collection
Train AI and ML Models
Data Annotation
We securely and efficiently collect & label your most complex and sensitive data, delivering near-100% accurate ground truth for AI and ML models.
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Harness Powerful AI In Your Operations
Applied AI Services
Achieve operational efficiencies in routine, knowledge-intensive work with AI-first expert augmentation.
Intelligent Platforms
Easy-to-Use, Mission-Specific Platforms Built with the Highest Quality Data + AI
Data Annotation Platform
Create training data for AI Systems by combining human-operated tools & active learning. Upload highly complex documents and unstructured content and promptly output data using the record & document classification and image & inline annotation workbenches.
Document Intelligence Platform
Turn your document data into intelligence with the leading AI-powered data extraction platform. Utilize our out-of-the-box or industry-specific pre-trained AI models to extract data from any complex document in seconds.
Medical Record Data Extraction
Our Synodex™ platform turns medical records into digital data to enable augmented automated underwriting (AAU) and data-enabled analytics with greater efficiency and quality.
News Distribution & Media Monitoring
Our platform combines the highest-quality, most comprehensive database of traditional and social media influencers worldwide, and a fully-indexed big data repository to improve the lifecycle of your PR initiatives.
Contact Us to Get Started
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Thanks to Innodata, we were able to quickly correct/edit some model-derived predictions, get the model re-trained, and push a new version of an inspection model that performed well in both urban and rural settings.
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Recent Articles
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What are Golden Datasets in AI?
Discover the importance of golden datasets in AI/ LLM development for accuracy, bias mitigation, and performance evaluation.
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What is Data Labeling for Machine Learning?
Data labeling teaches machines to see, hear, and understand. Train AI for object detection, image classification, and more.
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LLM Jailbreaking Taxonomy
Uncover techniques used to jailbreak large language models, bypass restrictions, and how they manipulate outputs.