Insights

The LexData Labs Files

AI Total Cost of Ownership (TCO): The Hidden Cost of Inference

AI inference drives up to 90% of costs. LexData Labs cuts TCO by 68% with model right-sizing, automation, and edge deployments.

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The LexData Labs Files

AI’s Last-Mile Problem — Why Great Models Underperform in Operations

85% of AI projects fail. LexData Labs’ four-part framework helps close AI’s “last-mile” gap, moving models from pilots to production with real ROI.

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Lab Notes

The Hidden Cost of Biased Data - and How to Build AI That’s Truly Fair

LexData Labs ensures ethical AI with diverse annotators, bias checks, and fairness audits delivering accurate, inclusive, and trustworthy AI outcomes.

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Lab Notes

Beyond Annotation: Post-Labeling Services That Matter

LexData Labs goes beyond annotation with post-labeling services like QA, metadata, and data balancing to deliver clean, explainable, and deployment-ready AI datasets.

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Lab Notes

What Investors Should Know About the Data Supply Chain

“The phrase ‘data is the new oil’ captures the modern era's defining resource. It must be refined, processed, and distributed to drive decisions" - A.T. Kearney

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Lab Notes

Custom Data Collection: When Off-the-Shelf Isn’t Enough

While traditional AI thrives on vast volumes of scraped internet data and spatially aware datasets, a need that generic datasets just can't satisfy.

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