Sanket Rajeev Sabharwal
PhD in Computer Science (ML and computer vision) from the University of Genoa. Published in IEEE Access and Nature Scientific Reports. Former Deloitte senior analyst. Both founders are embedded in every engagement, owning delivery end-to-end across product builds, ML systems, and data platforms.
Publications
Articles
Customer analytics platforms and the value moment
AUG 22, 2026
Build vs buy framework that prices the exit path
AUG 17, 2026
AI production readiness beyond model accuracy
AUG 11, 2026
How to vet a software agency using delivery evidence
AUG 5, 2026
AI vendor lock-in and the exit key you were never given
JUL 29, 2026
LLM integration patterns and sentences that become records
JUL 22, 2026
ML monitoring and the price hidden inside a success rate
JUL 15, 2026
LLM fine-tuning deployment needs rollback paths and canary releases
JUL 9, 2026
How to scope a software project around business decisions
JUL 5, 2026
AI agent governance starts with SLAs for production write access
JUL 2, 2026
CMS and low-code deployment controls for production systems
JUN 25, 2026
Test failure modes before you launch
JUN 18, 2026
How completed workflows drive SaaS retention
JUN 11, 2026
Managing custom SaaS features without debt
JUN 5, 2026
How to choose between a data warehouse and data lake
JUN 1, 2026
Enterprise computer vision procurement requires device trust and data provenance
MAY 30, 2026
The false economy of the quick MVP
MAR 28, 2026
Hyperparameter optimization to maximize ML performance
MAR 15, 2026
The software development lifecycle - A time-tested protocol for founders and product leaders
FEB 7, 2026
The multimodal gap in enterprise AI
FEB 1, 2026
Feature engineering decides machine learning outcomes
NOV 19, 2025