Cloudify is an AI-first transformation company. We are not a consultancy and not a SaaS product. We design, deploy, and operate systems of autonomous AI agents on top of the software our clients already run.
Consultants ship recommendations. SaaS companies ship features built for everyone. Neither model produces a working agent system in a specific company with specific exceptions and a specific tolerance for error.
We do the third thing. We map one painful workflow, write down the exceptions, build the company brain, deploy the agent team, and then run it in production with your people in the loop. One point of accountability for the outcome, not for a deliverable.
We turn down projects when we cannot name the workflow that will measurably improve. That filter costs us revenue and saves clients quarters.

Gregory Scott Henson, Founder
I do not run my companies like software companies. I run them AI native. SocialPost.ai runs on six humans and more than 500 agents. At Henson Venture Partners I built an agentic investment stack. At Cloud Veterans, a nonprofit run on agents.
Same playbook every time: small teams, agents underneath them, doing the work that used to take a department. Cloudify is how I hand that to you. We do not give you another platform to babysit. We build the agent system, run it on your company brain, and stay accountable for what it does.
Before this I spent two decades building and scaling enterprise technology companies. Awards and rankings from those ventures belong to those ventures, and we label them that way everywhere on this site. What carries over is the execution discipline, not the trophy case.
The Cloudify team has spent 20 to 25 years building and scaling enterprise technology companies. We have shipped software, run operations at scale, and served some of the largest brands in the world through prior ventures. Now we apply that execution discipline to autonomous AI agents.
That history matters for one reason. Running an operation teaches you what actually breaks: handoffs, exceptions, unclear ownership, and knowledge that lives in one person's head. Those are the same four things that break agent deployments.
Read the AI-First Method for how we work, or start with the two-week AI-First Scan.
Two-week AI-First Scan. A ranked opportunity map. A deployed system your team does not have to babysit.