Insights and ResearchAI thinking
AI thinking
from the field.
MLOps in 2025: The Minimal Stack That Actually Works
Most MLOps stacks are over-engineered. Here is the minimal set of tools that delivers 90 percent of the value without burning out your engineers.
Zara Ahmed · 2026-02-22
Medical Imaging AI: Why Accuracy Numbers Lie and What to Measure Instead
A 96 percent accuracy score on your classifier means nothing if your evaluation set does not reflect real clinical distribution.
Usman Khalid · 2026-03-05
The AI Readiness Assessment: What We Check Before Building Anything
Before writing a single line of model code, we run every client through a data and infrastructure audit. Here is exactly what we assess.
Mian Usman Hussam · 2025-12-10
Building AI from Lahore: What Global Clients Get Wrong About Pakistani ML Talent
The assumptions international clients arrive with, and what they discover once the model is in production.
Mian Usman Hussam · 2025-09-15