Sovereignty
The jurisdiction argument in full: what stays inside your boundary, what the one remaining crossing is, and how bringing your own keys or running an open model on your own hardware closes it.
Read the sovereignty pageLatin America & the Caribbean
Answers in Spanish, Portuguese or English from one knowledge base, running as a container inside your own perimeter: your cloud, your datacentre, or air-gapped.
The same four questions
Banks, credit unions, insurers and public bodies across the region ask the same four questions of any AI system: where the data resides, whether it crosses a border on its way to a model, what an examiner will be shown afterwards, and whether an answer can be explained back to the document it came from. NeuralSeek's answer to all four is the way it is deployed — and that argument is made once, on the sovereignty page, rather than repeated here.
The controls are the same in every deployment, including the managed one you would evaluate on. They are described once, on the trust center, and not restated by region.
The jurisdiction argument in full: what stays inside your boundary, what the one remaining crossing is, and how bringing your own keys or running an open model on your own hardware closes it.
Read the sovereignty pageProvenance, guardrails, the audit record and data location, in the order a regulated buyer asks them — with the financial-services and healthcare pages where the argument gets specific.
All solutionsWho runs it in the region
Three institutions in Uruguay, Chile and Mexico — one on premises, one answering across every support channel, one on public cloud since 2022. The same platform in three deployments.
Story 1 of 3: BROU — Banco República
Also running NeuralSeek in the region
Languages
This site is in English; the product is not limited to it. Spanish, Portuguese and English are served from the same verified material, so staff and members are answered from the same source material whichever language they ask in.
The documented language options for understanding questions and delivering answers include English, Spanish and Portuguese alongside French, German, Italian, Arabic, Korean, Chinese, Japanese and others. One knowledge base serves all of them; there is no per-language copy to keep in step.
NeuralSeek works out the language a question was asked in and returns the response in that language, without additional setup per language. A Spanish question gets a Spanish answer from a knowledge base that may have been written in English.
Conversations started in a language that is not on the documented list are supported through the Match Input feature — the documentation's own term for it — so a language missing from the list is not a language the product refuses.
Where it runs here
Two honest facts decide the topology for most of the region. The managed pay-per-answer service processes in Dallas, Frankfurt and Sydney — none of which is in Latin America or the Caribbean. And the enterprise platform is a container that deploys anywhere on Kubernetes or OpenShift. Which is why regional deployments run on the customer's own infrastructure or in the customer's own cloud account, not on ours.
The regions above are the ones the documentation lists for the managed pay-per-answer plan. The container has no region of its own — it inherits yours. Neither NeuralSeek nor its sub-processors use customer data to train models.
Bought through a cloud marketplace and run by NeuralSeek, with processing in the three documented regions. The right shape for evaluating the product; not a shape that keeps processing inside the region.
The three marketplace routesThe same platform as a container in your Kubernetes or OpenShift cluster — in the cloud region you choose, on-premises, or air-gapped. Retrieval, orchestration and the audit trail run there; the model is your choice of provider or an open model on your own hardware.
What is in the containerHow an engagement runs
Most engagements start with a contained proof of value behind your firewall — one use case, on the infrastructure it will eventually run on. If you already work with a consulting partner, the engagement can run through them.
Phase 01
One use case, scoped with you before anything is committed: the material it answers from, the users it serves, the deployment shape, and what would make it a success. The scoping call is where that gets written down.
Phase 02
A contained proof of value behind your firewall, built side by side with your team rather than delivered over the wall, on the infrastructure it will eventually run on.
Phase 03
What comes out of it is yours — the configuration, the knowledge base and the application — under a licence you hold.
NeuralSeek is headquartered in Miami, Florida. Regional offices and partner locations are not listed here until they are confirmed on the company page.
Three objections come up in almost every conversation in the region. Each is answered by where the software runs and how it is deployed, not by an assurance about our conduct.
Correct, and it is why most deployments here are not the managed service. The enterprise platform is a container on Kubernetes or OpenShift: it has no region of its own and inherits yours. Retrieval, orchestration and the audit trail run in the cloud account, datacentre or air-gapped room you put it in.
Only if the model you pick lives outside it. Everything else already runs in your deployment; the model call is the one crossing left, and it is a configuration rather than a fixed part of the design. Use your own provider keys, or an open model on hardware you own, and that call stays inside the same perimeter.
One knowledge base still serves both. The language of the question is detected and the answer comes back in it, with no per-language setup and no second copy of the content to keep in step. Portuguese works the same way, and a language outside the documented list is handled through Match Input.
Talk to a NeuralSeek expert about how it fits your stack, where your data has to live, and the governance your auditors already expect.