About
Senior engineering, applied to real workflows.
Cloptim started as a cloud cost and data-engineering practice. Working inside engineering organizations, we kept seeing the same pattern. The largest waste wasn't unused EC2 capacity or oversized warehouses. It was repeatable human work that should have been automated years ago and never was.
For a long time there wasn't a great way to automate it. The tools handled rules but couldn't handle judgment. That changed. Today's AI agents, when they're properly engineered with retrieval, tool use, and evals, can take the kind of action that used to need a person. So Cloptim pivoted into what comes next: designing and shipping production AI agents for the workflows where the waste actually lives.
Most "AI agencies" sit in one of two camps. Strategy houses that stop at slideware. Software studios that skip the boardroom. We bring something both miss: an operator's view of where waste actually lives, plus the engineering discipline to ship the agent that handles it.
Cloptim is agent-native. The same kind of AI agents we ship to clients run our delivery, our research, and our internal operations. That's leverage no traditional consultancy has, and it's why we sell outcomes instead of seats. No staff augmentation. No junior engineers learning on your dime. No padded retainers.
Working with companies across the US, remote-friendly globally.
The path here
A practice that grew into AI, not one that bolted onto it.
- 2019–2024
Cloud cost & data engineering
Worked inside engineering organizations: saving cloud spend, building data pipelines, modernizing infrastructure. Got close to where waste actually lives.
- 2024–2025
First AI agent deployments
Started shipping production AI agents alongside existing infrastructure work. Customer service, internal knowledge, voice receptionists. The first cohort of engagements proved the pattern.
- 2026
Cloptim becomes AI-agent-first
Pivoted the practice to focus on AI agent design, build, and operations. Productized the engagements. Today's Cloptim.
What we believe
Six principles. We won't compromise on these.
Agent-native delivery.
We use the same kind of AI agents we ship to clients. Same evals, same observability, same engineering rigor. Our delivery, research, and ops all run on agents. That's leverage no traditional agency has, and it's why we ship faster than a 20-person consultancy.
Agents take actions, not conversations.
A chatbot that talks is a feature; an agent that books, refunds, escalates, or migrates is a product. We build the second.
Eval is the moat.
Anyone can demo an LLM. The teams that ship and stay shipped are the ones with rigorous evaluation and observability. We bring that from day one.
Operators win.
AI without an operator's perspective ships demos. We design for the call-center supervisor, the CS lead, the ops director. They tell us what good looks like.
Boring is the goal.
An agent that's well-engineered should be quiet. Handling its lane. Abstaining where it should. Escalating cleanly. The exciting agents are the ones that fail in interesting ways three months in.
We sell outcomes, not seats.
No staff augmentation. No 'we'll embed for 6 months.' We bring the team needed for the scope, ship to a date, and hand off code you own.
We say what we won't take on.
If a workflow isn't ready for an agent, we'll tell you. A Notion playbook is sometimes the right answer; we'll say so on the discovery call.
Have a workflow that should be an agent?
Book a 20-minute call. We'll tell you what's feasible, what's not, and what we'd build.