A retail agency built an image classification system handling 2.1 million product images daily across 847 categories with 95.3% top-1 accuracy. Here is the end-to-end delivery guide.
Combining Multiple Models for Better Predictions: Ensemble Strategies for AI Agencies A two-person AI agency in Denver was on the verge of losing a $180,000 contract with a logisti...
An agency built a summarization system that condenses 200-page regulatory filings into 2-page executive briefs for a compliance team processing 1,400 documents monthly. Here is the delivery guide.
Version Control for Datasets and Training Data: How AI Agencies Manage Data Lifecycle An AI agency in Atlanta delivered a customer churn model to a SaaS company in Q1. The model pe...
An agency reduced their client's LLM inference costs by 61% and p95 latency by 74% by implementing a multi-layer caching strategy. Here is the complete playbook for AI cache optimization.
An agency discovered their client's hiring model was 23% less accurate for candidates over 50. Here is how to build fairness testing into every stage of your ML pipeline.
A fintech agency built a text classification system processing 2.3 million customer messages daily across 156 categories with 91% accuracy. Here is how they delivered it.
Building Image Segmentation Systems for Enterprise: The AI Agency Delivery Guide A manufacturing company approached a six-person AI agency in Detroit with a quality control problem...
An agency built an anomaly detection system monitoring 14,000 time series across a manufacturing operation, catching equipment failures 6 hours before they caused production line shutdowns.
An agency burning $47,000 per month on GPU cloud costs reduced spending to $18,000 while increasing training throughput by 40%. Here is how they restructured their GPU cluster management.
An agency discovered that a silent data pipeline failure had been feeding stale features to a production model for 3 weeks, degrading accuracy from 91% to 74%. Here is how to prevent that.
Building Low-Latency ML Inference Pipelines: Real-Time Serving for AI Agencies A fintech client came to a three-person AI agency in Chicago with a problem that sounds simple on pap...
A retail analytics agency turned a promising YOLO prototype into a system processing 14 million frames daily across 200 stores. Here is the delivery playbook for production object detection.
When and How to Use AutoML in Client Projects: The Agency Operator's Guide A four-person AI agency in Portland had a problem that sounds counterintuitive: they were too good at bui...
A/B Testing ML Models in Production: The Agency Guide to Safe Deployments A fintech agency in San Francisco deployed an updated credit scoring model for a lending client. The new m...
Building Fraud Detection Systems That Work: The AI Agency Field Guide A payments processor came to a seven-person AI agency in Miami after their rule-based fraud detection system f...
Orchestrating Complex ML Pipelines: Airflow, Kubeflow, and Beyond for AI Agencies An AI agency in San Francisco delivered a demand forecasting system to a grocery chain. The system...
Managing Cloud Costs for AI Workloads: The Agency Financial Playbook A growing AI agency in Denver learned an expensive lesson. They had deployed a computer vision system for a log...
An agency built an ML lead scoring system for a B2B SaaS company that increased sales conversion rates by 34% and reduced cost per acquisition by 28% within 90 days. Here is the full delivery playbook.
Delivering Graph Neural Network Solutions: A Practical Guide for AI Agencies A cybersecurity firm came to a five-person AI agency in Boston with a problem their existing ML team co...
Making Black-Box Models Explainable for Clients: The Agency Guide to Model Interpretability A healthcare AI agency in Philadelphia delivered a readmission risk model to a hospital ...
A healthcare AI agency discovered their model API was leaking training data through carefully crafted queries. Here is the complete security hardening playbook for production ML systems.
An agency built an energy optimization system for a commercial real estate portfolio that reduced energy costs by 23% across 47 buildings without any capital equipment upgrades. Here is the delivery playbook.
Implementing Data Catalogs for AI-Ready Organizations: The Agency Delivery Guide A healthcare analytics company with 340 employees and 47 data sources had a problem that sounds alm...
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