kase/tech ~/portland

Your VMware renewal isn't a renewal anymore. It's an architecture decision.

Broadcom changed the numbers. Most IT and engineering teams we meet already know they're leaving. The open question is where, and whether the option nobody put on the table is the better one.

You leave with a decision you can defend.

tested in our lab before we meet · priced against your renewal · or we tell you to stay
Schedule a discovery call 30 minutes, no obligation.
01 · active

Virtualization platform decision

Every path off VMware, and the case for staying, tested in our lab and priced against your renewal and your team before you commit.

total spent over time, renew vs re-platform (illustrative)
total spent to date today decision migration renewal breakeven the gap renew sometimes the right call assess decide hand off re-platform lower run cost migrate + capex kase/tech with you your team, on your own
weighed on: cost · risk · capability · security · operations · your team's skills and culture
decideyou pay less or gain capability, or we tell you to stay
migrateyou are off VMware before the renewal date
cut overevery workload moves with a tested rollback, in a window you set
hand offyour team runs it without us: backups, access, and monitoring proven before we leave
breakevenyou know the payback date before you commit
02 · in the lab

AI agents for infrastructure & IT operations

Pressure to use AI in operations reaches IT before the hard questions are settled: what data it can touch, where it should run, and whether the return justifies the cost. We evaluate each use case across local and frontier models, then build the agents that clear the bar. That might mean alert triage, answers grounded in your runbooks, or plain-English questions against your network data.

decision: local vs. frontier, per use case, against your data constraints costs & return: projected per use case before we build, measured after ends: working agents, measured results, your team running them
03 · in the lab

Data prep for AI

AI initiatives often fail on the data before the model matters. We reconcile messy, conflicting sources into trustworthy, governed data your agents can actually use: the unglamorous seam where AI projects live or die.

why now: the AI initiative that finally funds the data work ends: data your team trusts, governs, and maintains
* · adjacent

These focuses are where we're aiming right now, not everywhere we've been: odds are we've worked near your problem. If yours doesn't fit what's listed, come brainstorm it with us.

01assess
We arrive knowing the options, cut them to the few that fit, and run costs and tradeoffs against your own numbers. Priced to the outcome, sized to the decision.
a recommendation
with numbers
02decide
You make the call. Arrive already decided? We pressure-test it, and the wins land as yours.
your call
03build
The engineers who scoped it deliver it, with your team. The goal doesn't move; the path adapts.
working
system
04hand off
Your team runs it. We return once, verify against the numbers we agreed, and we're done. No retainers.
 
exit 0
virtualization & compute cloud infrastructure systems integration devops & automation data

Kase Tech is a small engineering practice in Portland, founded in 2026. We're principal-level engineers who spent our careers inside enterprise IT and the firms that serve it, and who never stopped building.

most firms
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win the work
context drifts
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design it
intent gets lost
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build it
kase/tech
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discoveryarchitecturebuild

At bigger shops, the promise that won the work, the architecture that got designed, and the thing that finally ships are three documents, owned by three people, and nobody owns the drift between them. When it surfaces, it lands on the person who signed for the outcome. We keep all three in the same hands. It keeps us sharp, and we run it ourselves before we recommend it.

We're small on purpose. There's no bench behind us: the people you meet are the people who deliver, and every project carries our name and pays our bills. Quality isn't a value we put on a slide; it's how we keep existing.

Bring us the decision you're staring at.

Tell us what changed, what you're running, and what makes the next move hard. We'll ask questions, pressure-test the paths, and help you leave with clearer next steps, whether the answer is an engagement with us or not.