ORIGINS

In 1999, we built a quoting system for corporate vehicles in VBA. It had fewer than 100 parameters. A human could read it, debug it, and own it. That was the standard we never abandoned.

Today’s models boast 405 billion parameters. They are statistically powerful—but operationally opaque. When they fail, no one can say why. When they succeed, no one truly understands how.

This is not engineering. It’s oracular computing.

Consider ad tech: platforms use black-box models to decide who sees what. When conversion drops, the client has no levers—only prayers to the algorithm. No diagnostics. No iteration. Just dependence.

At DOOGG, we reject this trade. We believe power without understanding is fragility in disguise.

Yes, scale is impressive. But clarity is durable. And in business, durability beats spectacle every time.

Some firms train their LLMs by silently mapping human behavior onto latent dimensions—using users as unpaid annotators. That’s why these tools are “free.” You’re not the customer. You’re the calibration layer.

We take the opposite path: build systems small enough to inspect, deterministic enough to trust, and precise enough to give clients a real edge—not a probabilistic guess.

Competitive advantage doesn’t come from using the same magic as everyone else. It comes from understanding what the machine does—and owning it completely.

That’s our origin. And our compass.