Where Techpool Began

Before Techpool was a platform, it was a document I couldn’t stop thinking about.

I built my first field service company from the ground up. I was young and I made every mistake you can imagine. But while I was busy learning how to run a business, something quiet kept pulling at me. Something most people didn’t care about at all:

The work report.

I know how that sounds. Of all the things to obsess over. But I couldn’t help it, because I saw what others seemed to look right past.

Every single service visit contains truth. What was measured. What drifted. What failed. What was adjusted. What was assumed. That truth, those small details, determines how a manufacturing facility operates tomorrow. Whether something gets caught in time or whether it doesn’t.

And yet, in practice, that truth was heartbreakingly fragile.

I’d watch my technicians solve genuinely complex problems during the day. Brilliant work. Then I’d see them sit in a hotel room at night, exhausted, trying to reconstruct everything from memory. Writing reports hours later. Sometimes days later. Weekly summaries replacing what actually happened in the moment.

And I noticed something that changed me.

When notes were captured during the job, right there, at the equipment, the data was precise. When written later, even just a few hours later, accuracy drifted.

Details blurred. Sequences shifted. Numbers got rounded.

Not because anyone was careless. Not because they didn’t try. But because that’s what memory does. Time warps reality. It’s not a flaw in people. It’s a flaw in the process.

I remember the exact moment I understood that the gap between the event and the documentation was quietly degrading everything we were trying to protect. And honestly, it scared me.


So I did something simple. Maybe too simple.

I created a structured Word template for field service reporting. Clear sections. Measured inputs. No vague language. No room for ambiguity. Just a document that forced honesty.

And it worked. More than I ever expected.

Clients suddenly had real visibility into their own facilities. Managers could act on facts instead of summaries. Patterns started to emerge that nobody had seen before. Trust increased. Relationships deepened.

The template spread. Competitors started copying it. Even some of the largest players in the industry adopted similar structures. I’m not saying that to boast. I’m saying it because it proved something: the industry was hungry for truth. People wanted better data. They just didn’t have a way to get it.

For a while, the whole industry moved a little closer to clarity.

But then tools multiplied. Stakeholders optimized for their own silos. The structure survived, but the continuity didn’t. Reports became isolated documents again. Data fragmented across systems. Knowledge stopped compounding. And slowly, quietly, we lost what we’d gained.

That hurt to watch.


Then AI arrived.

Suddenly, engineers had access to powerful models trained on everything the internet had to offer. Forums, videos, generic documentation. Useful, yes. But completely disconnected from the specific equipment, the specific environment, the specific event happening right in front of them.

In manufacturing, generic knowledge is not enough. Drift tolerance is not a forum discussion. Sequence matters. Context matters. The difference between a correct calibration and a dangerous assumption can come down to one detail that only exists in the moment.

And that’s when I realized: if AI is ever going to truly help field service, the data has to be captured as close to the source as possible.

That insight became Instant Capture — and Techpool became the platform to carry it forward.

Not a feature. A principle. The same principle I’d been chasing since that first Word template.

Capture reality at the moment it happens:

  • A photo at the asset
  • A voice note during inspection
  • A measurement at the instrument
  • Context before memory reshapes it

Because none of this works without accurate data. None of it.

With modern data systems, cryptography, and AI that can structure raw input instantly, the original vision, the thing I’d been carrying around for years, no longer needs to live inside a document.

It can live as infrastructure.


Techpool exists to protect operational truth while allowing healthy competition between service providers, vendors, and manufacturers. Everyone keeps their autonomy. Everyone keeps their rights to their own data. I believe deeply in that.

But the reality of what happened, at the equipment, at the moment, is preserved, structured, and verifiable. For everyone who needs it.

Not reconstructed later. Not scattered across tools. Not diluted over time.

Captured at the source. Turned into memory. Built to last.

I know this industry needs accurate data, and I know we’ve started something honest. But I need your help — to keep building the knowledge base, to push the product forward, to make it better than I could ever make it alone.

We built it for people like you.

Yours,

Daniel
Co-founder & CEO, Techpool