Applied AI, on one model.
Pre-built vision, speech, language and forecasting on tap. 6 services, Aether-native and governed by one trust story — deployable managed, in your VPC, on-prem or fully air-gapped. And when you need one that isn’t listed, the model builds it.
Everything in applied ai.
Detect, classify and read images and video through one API — grounded in the multimodal model, not a fixed label set.
Speech-to-text and text-to-speech in one service — transcription, diarization and natural voices, on the model that reasons over what's said.
Real-time and batch translation across 100+ languages, with glossaries and the context the model carries — not phrase-book substitution.
Turn documents into structured data — forms, tables, invoices, contracts — grounded in the model, not brittle templates.
Time-series forecasting as a service — demand, capacity, load — with uncertainty intervals and what-if scenarios.
Real-time recommendations and next-best-action from your interaction data, served at low latency.
From request to running.
One endpoint per capability — vision, speech, language, forecasting — no model to train first.
Specialize from your data or a few examples; results are grounded in the multimodal model.
Structured output flows straight into your app, agent or workflow.
One SDK, whole catalog.
# Provision vision ai on Aether Cloud
aether applied-ai create \
--service vision-ai \
--name app \
--region us-1 \
--deploy managed # or vpc | on-prem | air-gapped- Form
- Pre-built APIs
- Grounding
- Multimodal Aether model
- Custom
- Few-shot specialization
- Latency
- Real-time + batch
- Boundary
- Managed → air-gapped
Your boundary, your choice.
The rest of the platform.
Run applied ai on infrastructure you trust.
Applied AI on Aether Cloud — Aether-native, governed and deployable into the boundary your data requires. Talk to us about the services and the deployment your workloads need.