Computyne launches AI data annotation service for enterprise ML models. ISO 27001:2022 certified, 15+ years data expertise. Free pilot available. Visit computyneComputyne launches AI data annotation service for enterprise ML models. ISO 27001:2022 certified, 15+ years data expertise. Free pilot available. Visit computyne

Computyne Launches Data Annotation Service for AI Training, Leveraging 15 Years of BPO Expertise

2026/04/28 17:15
2 min read
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Computyne, a Denver-based data services company with over 15 years of experience and ISO 27001:2022 certification, announced the launch of its dedicated Data Annotation and AI Training service on April 24, 2026. The service is designed to provide high-quality labeled training data for organizations developing machine learning models, computer vision systems, natural language processing tools, and other AI products.

The company, which has completed more than 1,200 projects for over 100 Inc. 5000 companies, is now applying its data expertise to the AI industry. According to Computyne, the performance of any AI model depends on the quality of the data used to train it. With AI investment reaching record levels, the primary obstacle for development teams is no longer compute power or algorithmic design but clean, accurately labeled training data.

‘AI companies are racing to build smarter models, but they’re drowning in unlabeled data,’ said a Computyne spokesperson. ‘We eliminate that bottleneck. Our annotation teams deliver the precision and volume that AI development demands – without the overhead of building an in-house operation.’

The new service covers a broad range of annotation types, including image and video labeling, bounding box and polygon annotation, text classification and sentiment tagging, named entity recognition, audio transcription and speech labeling, and LiDAR point cloud annotation for autonomous systems. Each dataset is processed under strict quality control protocols with multi-layer review procedures to ensure accuracy.

The service is structured to scale from pilot datasets of several thousand records to production pipelines handling millions of data points per month, making it suitable for both AI startups and established technology companies. Sectors positioned to benefit include autonomous vehicles, healthcare AI, eCommerce personalization, financial risk modeling, and security threat detection, areas where Computyne has existing domain experience.

Organizations interested in evaluating the service can do so through a free pilot project with no contracts or commitments required prior to a full engagement. More information is available at computyne.com.

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