The Real Use Case for AI.

2026-01-14
Fil-Trek
artificial intelligencemanufacturingdata centresengineering
The Real Use Case for AI.

The Real Use Case for AI.

1) The website: Built by Fil-Trek engineers (with AI)

We built it in-house by the same people who design and support the products.

AI did not “write a few lines of copy.” It allowed a small team to move at a speed that would normally require a dedicated development group working for months.

What you will notice on the new site: • Fast loading
• Fast search (model numbers, keywords, applications, materials)
• Simple navigation with easy-to-use filter selection
• Quick access to rental → and in-stock equipment → (including 3D views)
• No pop-ups. No clutter.

The metrics: • Team of 3, with no formal web development training
• 8 weeks from start to a live website, while continuing to serve customers
• 400M plus tokens across multiple AI models, with most effort spent on data cleanup

The end result is a modern website we fully control. One we can adapt and scale with our needs and your needs, just like we do with our products.

explore the new website →

(And if anything feels missing, let us know. We will update it fast.)

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2) The bigger picture: Fil-Trek has been supporting the AI build-out

Fil-Trek has been involved with AI since as early as 2016.
We had ChatGPT access on day one and our own fine-tuned model by 2023.

So yes, we have been early users of AI. But we have also been there on the infrastructure side, answering the call when the AI build-out moved from hype to hardware.

For the past several years, Fil-Trek has been supplying filtration systems used in hyperscale AI data centres →. These systems support cooling water filtration from well to chip, including intake water, process and cooling loops, side-stream filtration, and the equipment that protects heat exchangers and cold plates.

We go further than cooling water. We also support hyperscalers with on-site power generation filtration, including fuel and lube oil filtration →, as well as natural gas feed filtration → for turbine generators.

To meet the surge in demand, we have ramped up quickly, using AI to plan, scale, and execute faster than ever. By expanding production capacity, streamlining workflows, and strengthening our engineering and support teams, we have matched the pace of this new era. AI has accelerated schedules and raised expectations, and we are delivering at that speed.

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Full circle

The same chips driving AI are creating massive filtration demand in the real world.

And in our world, it has come full circle.
Our filtration helps cool the compute, and that compute helped us build the tools we now use to serve you faster every day.

  • Lou Faustini
    CEO & Owner, Fil-Trek

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