Strategy, process and AI only run as well as the infrastructure underneath them. LM TEK is Egzakta's engineering company the team that designs and builds the compute and cooling that enterprise AI actually runs on.
LM TEK is a European engineering company. It designs, engineers and manufactures high-performance liquid cooling systems and barebone compute platforms for organisations running dense compute: AI training and inference, professional workstation workloads, and specialised applications that exceed what conventional hardware can deliver.
The work is grounded in more than two decades of shipped liquid cooling engineering, carried by the manufacturing and engineering base LM TEK shares with its sister brand EK. Platforms are engineered and assembled in Komenda, Slovenia: European engineering, with the supply chain transparency that regulated and public sector procurement requires.
LM TEK is not an AI vendor. It does not sell models, AI services or AI platforms. It builds the engineering layer those things run on; and within the Egzakta, that is precisely the point
AI & HPC Servers - Barebone AI server platforms engineered as one thermal and power system. The flagship LM TEK 4U8GPU10KW carries up to eight full-height PCIe Gen 5 GPUs in a 4U chassis, built around a closed in-chassis liquid cooling loop; no facility plumbing, no external Coolant Distribution Unit (CDU). It deploys in a standard server room, not a hyperscale facility, and the buyer completes it with off-the-shelf enterprise parts: motherboard, CPUs, GPUs, memory and storage, sourced and refreshed independently. Power is sized at the platform: 10 kW installed (5 × 2 kW); 8 kW sustained, N+1.
Workstations (LT-WS) - Liquid-cooled barebone workstation platforms for demanding professional work: medical imaging, post-production, scientific visualisation, CAD, rendering, and AI development at the desk. The same engineering discipline as the server line, in a form factor that lives outside the server room.
Liquid cooling components - CPU and GPU water blocks, radiators, manifolds, fittings, and pump-and-reservoir assemblies, engineered for sustained professional and enterprise workloads. The same materials discipline and pressure envelope as the platform loops: nickel-plated copper, stainless steel, POM Acetal, EPDM, brass.
Custom engineering - Selective custom thermal and power engineering for the cases where no standard platform fits: autonomous vehicle compute, embedded systems in harsh environments, industrial and infrastructure deployments. Selective is the operative word; LM TEK takes on the problems that fit its engineering, and says so when they don't.
Egzakta's offer is a vertically integrated chain: strategy and change with Egzakta Consulting, governed enterprise AI on the KVARK platform, solutions engineered to the industry, and the infrastructure underneath. LM TEK is that fourth layer, and it is what makes the other three deliverable on the customer's own terms.
KVARK keeps your models answerable to your rules and your data inside your boundary. LM TEK makes that boundary physical: compute you own, in a facility you control, on hardware engineered and manufactured in the EU. When the group commits to AI under your control, LM TEK is the layer where that commitment stops being architecture and becomes equipment.
The integration works in both directions. Deployments designed by Egzakta teams land on platforms whose thermal, power and integration engineering was done in-house, by the same group; and LM TEK's platforms and components are equally available directly and through system integrator partners, for organisations that bring their own delivery.
Hardware inside a facility you control, or a trusted partner's, within your jurisdiction
Data never leaves the perimeter for processing; models come to the data
Models you can host, audit and run on your own timeline.
The ability to adapt models to your data without sending it to someone else's training pipeline.
Organisations deploying enterprise AI that need infrastructure under their own control, not a shared cloud environment.
Regulated industries – banking, insurance, public sector, energy, healthcare, telecom – where EU AI Act, NIS2 and data-residency requirements make sovereign infrastructure the simpler posture to defend.
Teams that have outgrown off-the-shelf cloud AI: unpredictable cost, compliance gaps, or no real control over where data sits.
See what LM TEK builds, or talk to us about sizing infrastructure for where your AI strategy is actually going.
