01
Multimodal Perception
Perception
Seeing the world as one signal
Vision, audio and language fused into a single latent space so agents understand scenes the way people do.
Est. 2026
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Advancing Enterprise Intelligence.
We build minds that see further.
An independent AI lab shaping foundation models, perception systems and the interfaces of tomorrow.
- 12B+tokens processed daily
- 40+research papers
- 99.9%inference uptime
01 — Research
The Lab
Where curiosity is a discipline.
We run long-horizon research programs across perception, reasoning and alignment — then ship what survives contact with reality.
02
Reasoning & Planning
Reasoning
From answers to actions
Long-horizon planning, tool use and self-verification for agents that operate reliably over hours, not seconds.
03
Alignment & Safety
Safety
Capability without surprises
Interpretability, red-teaming and scalable oversight baked into every training run.
04
Efficient Inference
Systems
Frontier quality, edge budget
Distillation, quantisation and custom kernels that bring frontier models to phones, cars and factories.
02 — Models & Capabilities
Models built to think, see and act.
A family of foundation models, tuned for production.
Every model ships with evaluation reports, safety cards and a latency budget. Deploy in our cloud, your VPC, or on the edge.
01
Flagship
Aether Core
Frontier multimodal foundation model
Our largest model. Native Arabic and English reasoning, tool use and agentic workflows with a one-million-token memory.
- Parameters
- 340B
- Context
- 1M tokens
- Modality
- Text · Vision · Audio
- Latency
- ~180 ms
Capabilities
Request access →
Reasoning96
Coding93
Vision91
Multilingual95
02
Vision
Aether Vision
Real-time perception for the physical world
Detection, tracking, segmentation and document understanding at video frame-rate on a single GPU.
- Parameters
- 22B
- Context
- 256K tokens
- Modality
- Image · Video
- Latency
- ~60 ms
Capabilities
Request access →
Detection97
Segmentation94
OCR / Docs92
Video88
03
Edge
Aether Edge
Frontier reasoning, on-device
A 3B-parameter model distilled from Core that runs offline on phones and embedded hardware with full Arabic support.
- Parameters
- 3B
- Context
- 128K tokens
- Modality
- Text · Vision
- Latency
- ~12 ms on-device
Capabilities
Request access →
Efficiency99
Reasoning84
Arabic93
Tool use86
03 — Selected Work
Selected work.
Systems in the wild.
A few of the deployments we are allowed to talk about.
04 — Contact
Let's build the unseen.
Tell us what you are working on.
Partnerships, research collaborations, model access or just a conversation — our inbox is open.
- Phone
- +20 100 000 0000
- Locations
- Ramallah · Qatar · Dubai · KSA · London · USA
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