Comparison
Akumi vs Azure OpenAI
Azure OpenAI puts OpenAI's models in an EU region under a Microsoft enterprise contract. That solves latency and procurement. It does not make the provider European, and it leaves the controls for you to build. Akumi is the EU-resident platform: EU-resident models, a fail-closed egress guard, a firewall, and cited retrieval, behind the same OpenAI-compatible call.
A European region is not a European provider.
Azure OpenAI is the compromise most enterprises reach first, and it is a reasonable one. It stops being enough when the objection is about the provider rather than the postcode. Choosing an EU region changes where the compute runs. It does not change who processes the data or under which jurisdiction, and the layer you actually need, pseudonymization, retrieval that isolates one customer from another, an audit trail that answers where a specific request ran, is still yours to assemble out of separate Azure services with separate bills.
The two things being compared
What each one actually is.
Both are read from what each side publishes. If we have something wrong, tell us and we will correct it.
Akumi
An EU-resident AI platform behind one OpenAI-compatible endpoint. EU-resident models answer by default and non-EU routing is blocked at a guard that fails closed. The firewall, retrieval, the response cache and per-request observability run on the same call, each metered separately, with residency recorded per request in a metadata-only audit trail.
Azure OpenAI
Microsoft's hosted deployment of OpenAI's models, provisioned as a resource inside your Azure subscription and pinned to a region you choose. It brings the frontier line-up, Microsoft's enterprise agreement and support, and integration with the rest of Azure, including Azure AI Search for retrieval and Azure Monitor for telemetry.
Side by side
Where they differ, and where they do not.
| Dimension | Akumi | Azure OpenAI |
|---|---|---|
| Model provenance | EU-resident models served in the EU, with external providers available only under an explicit policy. | OpenAI models, hosted by Microsoft. The region is European, the provider and the model are not. |
| Non-EU egress | A fail-closed egress guard. External routing does not happen unless the request is firewalled or a recorded acknowledgment exists. | Region pinning and contractual commitments. There is no request-level guard that fails closed. |
| Personal data before the model | Firewall on by default: personal data is pseudonymized before egress and restored in your response. | Not included. Content filtering exists, but pseudonymize-and-restore is yours to build. |
| Retrieval | Conversation memory and your documents share one knowledge graph, so an answer follows the link from a user to their organization to the document that answers them. Each collection is its own partition, and every response carries the sources it used. | Azure AI Search: a separate service to provision, wire up, tune and pay for, with the isolation between customers left to your own application code. |
| Model choice | EU-resident models plus external providers behind one policy, one endpoint and one bill. Swap models with a string. | OpenAI models. Another provider is another deployment and another integration, even when it stays inside Azure. |
| Compliance evidence | One DPA, published sub-processors, and a per-request record of the model, provider and region that served it. | A Microsoft enterprise agreement, with the per-request residency evidence left for you to assemble. |
| Getting started | Self-serve signup, published pricing, one base_url, first request in minutes. | An Azure subscription, resource provisioning, and in many organizations a quota request. |
- Model provenanceAkumiEU-resident models served in the EU, with external providers available only under an explicit policy.Azure OpenAIOpenAI models, hosted by Microsoft. The region is European, the provider and the model are not.
- Non-EU egressAkumiA fail-closed egress guard. External routing does not happen unless the request is firewalled or a recorded acknowledgment exists.Azure OpenAIRegion pinning and contractual commitments. There is no request-level guard that fails closed.
- Personal data before the modelAkumiFirewall on by default: personal data is pseudonymized before egress and restored in your response.Azure OpenAINot included. Content filtering exists, but pseudonymize-and-restore is yours to build.
- RetrievalAkumiConversation memory and your documents share one knowledge graph, so an answer follows the link from a user to their organization to the document that answers them. Each collection is its own partition, and every response carries the sources it used.Azure OpenAIAzure AI Search: a separate service to provision, wire up, tune and pay for, with the isolation between customers left to your own application code.
- Model choiceAkumiEU-resident models plus external providers behind one policy, one endpoint and one bill. Swap models with a string.Azure OpenAIOpenAI models. Another provider is another deployment and another integration, even when it stays inside Azure.
- Compliance evidenceAkumiOne DPA, published sub-processors, and a per-request record of the model, provider and region that served it.Azure OpenAIA Microsoft enterprise agreement, with the per-request residency evidence left for you to assemble.
- Getting startedAkumiSelf-serve signup, published pricing, one base_url, first request in minutes.Azure OpenAIAn Azure subscription, resource provisioning, and in many organizations a quota request.
Statements about Azure OpenAI reflect Microsoft's public documentation at the time of writing, including its guidance on deployment types and data processing locations. If we have something wrong, tell us at contact@akumi.eu and we will correct it.
The residency question
The region promise is made per deployment.
Region pinning is a real control and it solves real problems: latency, some data-locality commitments, and a box on an internal form. What it does not do is change the identity of the processor. Personal data sent to a US-headquartered provider is still a transfer requiring a lawful basis, a data processing agreement and standard contractual clauses.
There is a second, quieter risk, and it sits in Microsoft's own recommendation. Deployments come in global, data-zone and single-region types, and the global types process prompts and responses in any Azure region. Keeping processing in Europe means choosing against the recommended default on every deployment, in every team, at a higher price and with newer models arriving later. It is a setting that is correct on the day someone reviews it.
| Dimension | Akumi | Azure OpenAI |
|---|---|---|
| What the region controls | Where EU-resident models run, with the provider EU-based too. | Where Microsoft runs OpenAI's models. The provider is unchanged. |
| Transfer paperwork | Not triggered on the default path. | Still required for personal data, region notwithstanding. |
| Enforcement | A fail-closed guard in code. A misconfiguration refuses the request. | A contractual commitment and a region setting. |
| The region promise itself | Not a setting. EU-resident serving is the default path. | A per-deployment choice. The global types, the ones Microsoft recommends starting with, process in any Azure region. |
| Cost of keeping it in Europe | None. It is the default. | The data-zone and single-region types price above Global Standard and receive new models later. |
- What the region controlsAkumiWhere EU-resident models run, with the provider EU-based too.Azure OpenAIWhere Microsoft runs OpenAI's models. The provider is unchanged.
- Transfer paperworkAkumiNot triggered on the default path.Azure OpenAIStill required for personal data, region notwithstanding.
- EnforcementAkumiA fail-closed guard in code. A misconfiguration refuses the request.Azure OpenAIA contractual commitment and a region setting.
- The region promise itselfAkumiNot a setting. EU-resident serving is the default path.Azure OpenAIA per-deployment choice. The global types, the ones Microsoft recommends starting with, process in any Azure region.
- Cost of keeping it in EuropeAkumiNone. It is the default.Azure OpenAIThe data-zone and single-region types price above Global Standard and receive new models later.
What you assemble
One endpoint, or five services and five bills.
Azure OpenAI is a completion endpoint. A production application needs more than that, and on Azure each piece is a separate service you provision, wire together, tune and pay for: Azure AI Search for retrieval, Azure Monitor for telemetry, your own code for pseudonymization, and whatever you build for prompt-injection defence.
The isolation question is the one worth checking closely. Azure AI Search has no built-in multi-tenancy, so keeping one customer's documents out of another customer's answers is your application's filtering logic to write and to get right.
| Dimension | Akumi | Azure OpenAI |
|---|---|---|
| Retrieval | Included: a knowledge graph, partitioned per workspace before the query is built. | Azure AI Search, provisioned, wired up, tuned and billed separately. |
| Isolation in retrieval | Enforced in code from the authenticated caller, not from anything the request supplies. | Your application's filters or an index per tenant, designed and maintained by you. |
| What you reconcile | One vendor, one bill, usage attributed per request and per service. | Several Azure services, each with its own meter. |
- RetrievalAkumiIncluded: a knowledge graph, partitioned per workspace before the query is built.Azure OpenAIAzure AI Search, provisioned, wired up, tuned and billed separately.
- Isolation in retrievalAkumiEnforced in code from the authenticated caller, not from anything the request supplies.Azure OpenAIYour application's filters or an index per tenant, designed and maintained by you.
- What you reconcileAkumiOne vendor, one bill, usage attributed per request and per service.Azure OpenAISeveral Azure services, each with its own meter.
Trying it
You can be running before the resource group exists.
Getting to a first Azure OpenAI call is rarely just a key. There is a subscription, a resource to provision, a region and deployment name to pick, role assignments, and in many organizations a quota request that waits on someone else's queue. None of it is hard. All of it is calendar time, and most of it happens before you learn anything about whether the thing works for your use case.
Akumi is self-serve with published pricing, and it is OpenAI-compatible, so the trial fits inside the time Azure provisioning takes anyway. If Azure still wins, you have confirmed the default with evidence and seen what the controlled version of your system looks like, which is the specification for what you would then build on Azure yourself.
| Dimension | Akumi | Azure OpenAI |
|---|---|---|
| Cost of the trial | An afternoon: signup, a key, one base_url. | The provisioning path, before the first thing is learned. |
| What it shows you | Your workload with the firewall, retrieval and audit already on every call. | Your workload against the completion endpoint. The rest is still on paper. |
| If it loses the trial | Point the base_url back. Nothing was built. | Unwind whatever the pilot already wired into the subscription. |
- Cost of the trialAkumiAn afternoon: signup, a key, one base_url.Azure OpenAIThe provisioning path, before the first thing is learned.
- What it shows youAkumiYour workload with the firewall, retrieval and audit already on every call.Azure OpenAIYour workload against the completion endpoint. The rest is still on paper.
- If it loses the trialAkumiPoint the base_url back. Nothing was built.Azure OpenAIUnwind whatever the pilot already wired into the subscription.
The honest answer
Who should choose which.
Choose Akumi if
- Your blocker is legal, not latency: the objection is that the data reaches a US provider at all.
- You want the firewall, retrieval and the audit trail as part of the platform rather than as five services you integrate.
- You need to answer "where did this specific request run" from a log, per request.
- You want more than one provider without more than one contract.
- You want to start today without a procurement cycle or a quota request.
Choose Azure OpenAI if
- You need OpenAI's models specifically, at the scale and terms of the agreement you already have with Microsoft, and your data protection team has accepted what a US provider in the path entails.
- Your organization lives in Azure: identity, networking and committed spend are all there, and one more resource in the subscription is genuinely the shortest route.
- Procurement requires a vendor of Microsoft's size, whatever the architecture argument says.
- The workload involves no personal data, and nobody will ever ask you where a specific request ran.
FAQ
Questions people ask.
- Does Azure OpenAI in an EU region make my AI use GDPR compliant?
- It helps with locality and it narrows the transfer surface, but it does not settle the question your data protection officer actually asks. Contracting through an EU subsidiary does not change the fact that the corporate group is subject to US law wherever the data sits. Akumi answers on EU-resident models by default, so the question does not arise on the default path, and each request records the region that served it as evidence.
- We were going to start with Azure OpenAI. Why evaluate Akumi first?
- Because the evaluation is nearly free and the default is not. Akumi is self-serve and OpenAI-compatible, so a real trial against your own workload takes an afternoon and fits inside the time Azure provisioning takes anyway.
- Do we have to pick one?
- No. The client code is near-identical, so the two run side by side. A sensible split puts workloads that touch personal data, or that must prove residency per request, on Akumi, and leaves what already fits your Azure estate where it is.
- Is a smaller vendor not a bigger risk than Microsoft?
- On vendor scale, no contest: Microsoft is the safer institution. If the risk you are managing is vendor longevity, Azure wins it. If the risk is personal data reaching a US provider, the vendor's size does not reduce it. Leaving Akumi is the same base_url change as arriving, and the certification gap is real today: ISO 27001 is in progress and stated plainly on the trust page.
- Is Akumi a drop-in replacement for Azure OpenAI?
- For the chat completions surface, yes. If your code uses the standard OpenAI client, the move is a base_url and a key. If it uses the Azure-specific client or deployment-name URLs, you switch to the standard client first, a small and mechanical change.
- Can I still use OpenAI models through Akumi?
- Yes, under an explicit routing policy. External models are off by default, and reaching one requires a firewalled payload or a recorded acknowledgment. You can also bring your own key, stored encrypted.
- What replaces Azure AI Search?
- A knowledge graph built into the platform. Conversation memory and your documents share one substrate, each collection is its own partition namespaced before the query is built, and every response carries the sources it used.
- How do I prove where a specific request ran?
- From the audit trail. Every request records the model, the provider and the region that served it, as metadata only.
Weighing other options?
Try it against your own workload.
If Azure OpenAI is the plan, run Akumi beside it: change one base_url and send a real request while the Azure side is still waiting on quota. The worst case is that you confirm the default with evidence.