AI StrategyDecide
AI-Driven DevelopmentBuild
AI Change ManagementAdopt
Read the GenDD Manifesto
What We Deliver
Intelligence Layer
AI-Native Products
Agentic Automation
Data Modernization
Model Fine-Tuning & Optimization
Data Science & Machine Learning
Start with AI Strategy & Roadmap
How We Engage
Forward Deployed Engineers
Agentic AI Pods
AI & Data Transformation Program
Partnerships
Anthropic
Google
Databricks
OpenAI
AI got very good at coding first, and the reason is less flattering than it sounds. Coding is work where the machine can check
Legal is the department that can stop a business transaction cold. A contract goes into review and two weeks disappear. Procurement waits. Sales waits.
The best AI model in the world just scored 18.1%. On Zapier’s own benchmark for real business work — the cross-app tasks any white-collar
The value is real. The spend is real. And the gap between the companies getting one in exchange for the other and the companies
Here’s an idea most enterprises still haven’t accepted: your AI isn’t underperforming because the models aren’t good enough. It’s underperforming because of how work
Most enterprises rolling out AI are quietly optimizing for the wrong thing: speed, volume, lines of code shipped. Manu Narayan, CIO of GitLab, thinks
Better Models Don’t Kill Moats: Talking AI with Intel Capital’s Avi Bharadwaj Every company building AI right now is wrestling with the same question:
AI can now write code faster than any human alive, and most of the time it’s more than good enough. That’s the magic powering
Stop Building Apps. Start Building Agents. Low-code was supposed to be the revolution. Drag and drop, no developers needed. But the landscape has shifted
Host Matt Paige records a special Talking AI episode live from Google I/O with AI creators Kushank Aggarwal, Marcin Teodoru, and Jay Enrique, discussing
