Comparisons
See how Akumi compares.
Most AI platforms make you choose between EU residency and a stack you can actually build on. Akumi gives you both: EU-resident models, controls enforced in code, and an OpenAI-compatible API you can be running against this afternoon.
The alternatives
Five ways teams solve this, and what each one costs.
Every one of these is the right answer for somebody. Each page says what the alternative is genuinely good at, and the thing it asks you to give up.
Azure OpenAI
An EU region under a Microsoft contract, against an EU-resident platform with the controls built in.
Read the comparisonGoing direct to a provider
Calling OpenAI or Anthropic yourself: fastest to start, hardest to defend at the compliance review.
Read the comparisonSelf-hosting open models
Your own GPUs give the strongest residency answer and a permanent operational bill.
Read the comparisonAimable
Redact and forward to a US frontier model, against EU-resident models with non-EU egress off by default.
Read the comparisonZylon
A private platform deployed inside your perimeter, against a managed EU platform behind an API.
Read the comparison
What is common to all five
The three questions every comparison comes down to.
Whichever option you weigh Akumi against, the argument lands in the same three places. They are worth asking of any platform, including this one.
What happens by default?
Not what is possible, but what happens on a request nobody thought about. A control that is off until someone remembers is not a control.
Can you show it afterwards?
A reviewer does not want the architecture diagram. They want the record of what ran, where, and under which policy, for a date range they choose.
What does leaving cost?
An OpenAI-compatible endpoint means leaving is one base_url away. Anything that needs a rewrite to exit is a decision you make once.
Stop comparing. Start building.
Change one base_url and send a real request against your own workload. No sales call, no procurement cycle, no quota request.