AI agent evaluation without a vendor selling the answer: which metrics to measure at each layer, how to build an eval suite that runs in CI, and when a platform is worth buying.
Dr. Phil Winder
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18 min
The five ways AI agents fail in production, and the AI agent observability and monitoring that catches them: tracing, retries, cost ceilings and approval gates.
Dr. Phil Winder
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21 min
A 2026 comparison of MLOps consulting companies worldwide: Winder.AI, phData, Datatonic, Data Reply and Quantiphi, on named evidence and published pricing.
Dr. Phil Winder
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17 min
How Winder.AI partnered with Apartment List to build a unified, automated MLOps platform that eliminated data drift, accelerated deployment, and empowered data scientists with self-service model delivery.
Dr. Phil Winder
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3 min
Discover the best open-source and proprietary machine learning model monitoring frameworks and tools.
Dr. Phil Winder
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21 min
Learn from the trials and tribulations of scaling audio diffusion models with NVIDIA's Triton Inference Server and AWS Sagemaker.
Enrico Rotundo
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3 min
MLOps consulting in supply chain management. Learn how Winder.AI supported the MLOps platform team at Interos to deliver an internal AI platform for their developers.
Dr. Phil Winder
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6 min
MLOps consulting for insurance companies. Learn how Winder.AI collaborated with Tractable to deliver vital AI efficiency via MLOps.
Dr. Phil Winder
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3 min
MLOps consulting for finance companies. Learn how Winder.AI collaborated with an automotive loan provider to deliver a comprehensive MLOps audit.
Dr. Phil Winder
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3 min
A presentation discussing the results of a report for a UK government regulator to interview and analyse how online platforms are using MLOps and governance to help operate their AI solutions.
Dr. Phil Winder
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1 minCase studies and industry analysis from our team. No hype, roughly monthly.