We build the most efficient heterogeneous supercompute AI platform.

Who we work with

Pre-seed · July 2026

$8M+

The largest deeptech AI pre-seed raise in MENA history.

Backed by

  • WAED
  • RAED
  • DTV

and others

The architecture

Three layers.
One ecosystem.

Intelligent software bonded with high-performance hardware. Each layer stands alone. Together, they are the fabric.

Fabric

One fabric.
Across the silicon.

ILM runs today on NVIDIA Blackwell and Hopper, and on Intel Battlemage. Generations and architectures pool as one, workstation beside rack. More architectures are in enablement.

Blackwell architecture CDNA architecture Battlemage architecture Hopper architecture Fabric
Supported todayIn enablement
Native dry cooling architecture

A datacentre,
condensed.

think Node carries its own datacentre. A sealed loop circulates coolant through the cold plates and rejects the heat straight to ambient air. No chiller, no facility water, nothing plumbed into the building. 7.1x the cooling density of a liquid-cooled 5U server and the CDU, chiller and piping it needs.

Conventional 4 kW liquid-cooled datacentre plant room required
Outdoor dry cooler Chiller warm climates Facility loop valves, piping Pump skid N+1 5U server CDU 42U rack 42U rack + plant To scale To scale vs 42U rack think think think SuperNode 471 x 285 x 513 mm · 68.9 L · 3 kW 7.1x vs 5U + CDU
Component layout illustrative. Volumes measured across the true system, including every part of the cooling path.
True system volume 659 L 68.9 L
Cooling density 6.1 W/L 43.6 W/L

Measured across the true system volume: chassis, radiators, pumps and every part of the cooling path.

Dynamic orchestration

Mixed silicon. Mixed AI workloads.
Zero idle compute.

Most deployed silicon delivers a fraction of what it could. ILM runs serving, fine-tuning and utilities side by side across NVIDIA and Intel today, and the accelerators still to come, placing every job by memory fit, thermal headroom and affinity.

Four small models, four accelerators, and most of the VRAM doing nothing.

Beforeone model per chip
Afterthink AI Node with ILM
Inference ManagementCPU · single chip · multi chip · sharded
Fine-Tuning OrchestrationSFT · LoRA · QLoRA
Model ConversionHuggingFace to GGUF · quantization
Model Acquisitionsecure downloads · recovery
Real-Time Observabilitymetrics · logs · safe cancellation

Nodes that scale together
and think together.

Constellation links any mix of think nodes into one pool of compute. Start with one. Grow without limits.

Drag a job onto a node
Booting first node 1 node online

AI infrastructure
that thinks.

AI Node, ILM, and Constellation, bonded into one fabric. One node or an entire constellation, on your silicon.

Talk to us