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Aether Cloud / Applied AI / Translation
Aether Cloud · Applied AI

Translation.

Real-time and batch translation across 100+ languages, with glossaries and the context the model carries — not phrase-book substitution.

❂ Applied AI
Overview

Translate text and documents in real time or batch across 100+ languages, with custom glossaries and the surrounding context the foundation model understands — so meaning and tone survive, not just the words.

Where it sits
Category
Applied AI
Deployment
Managed → air-gapped
Governance
IAM · encryption · audit
How it works

Three steps to running.

01
Send text or a document

Strings for real-time, documents for layout-preserving batch.

02
Translate

With custom glossaries and the context the model carries.

03
Get output

Formatted, in 100+ languages, ready to ship.

What you get

Translation, in full.

100+ languages

Broad coverage with quality the foundation model lifts.

Custom glossaries

Force domain terms, brand names and tone.

Document translation

Preserve layout and formatting in place.

Real-time + batch

Live for chat and support, batch for content at scale.

API-first

Provision it in a few lines.

Every service is reachable from the same SDK, CLI and infrastructure-as-code — one identity, one bill, one audit trail across the whole catalog.

# Provision translation on Aether Cloud
aether applied-ai create \
  --service translation \
  --name app \
  --region us-1 \
  --deploy managed   # or vpc | on-prem | air-gapped
Specs

At a glance.

Languages
100+
Modes
Real-time + batch
Glossaries
Custom, enforced
Documents
Layout-preserving
Quality
Foundation-model lifted
Use cases

Built for real work.

01

Localization

02

Multilingual support

03

Cross-border content

Why one platform

On one model, not stitched together.

The usual stack runs translation in one product, the model in another and the data in a third — and the seams between them are the cost. Aether Cloud runs it on the same platform that serves the model, governs your identity and deploys into your boundary, with the rest of the catalog one hop away.

One platform

No stitching a vector DB to one place, a warehouse to another and a model to a third — translation sits next to the rest of the catalog, one identity, one bill.

The model is here

The provider that runs Aether runs your translation — so the data and the model never leave the same governed boundary to talk to each other.

Built on demand

Need a capability that isn’t here yet? The model writes and deploys it into the same boundary — the catalog is a starting point, not a ceiling.

FAQ

Good to know.

How does this compare to AWS Translate or DeepL?

Real-time and batch translation across 100+ languages — with the context and tone the foundation model preserves, plus glossaries you control.

Can I force brand and domain terms?

Yes — custom glossaries override generic translations.

Does it keep document formatting?

Yes — document translation preserves layout in place.

Deploy anywhere

Your boundary, your choice.

Managed
Your VPC
On-prem
Air-gapped / sovereign

Run Translation on Aether Cloud.

Real-time and batch translation across 100+ languages, with glossaries and the context the model carries — not phrase-book substitution. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.