We design and ship AI-powered software for teams who would rather have one tool that works than ten that almost do. Small lab, senior people, real code you own.
Two systems in build. We keep the details quiet until they hold up.
A map for inshore water that reads conditions the way an experienced angler does — tide, wind, structure, season — and resolves them into where to be and when.
A group of specialised agents that research, argue, and monitor — each accountable to the same evidence, none of them acting alone. More when it earns the right to be talked about.
Four ways we tend to work. Most engagements start with the smallest one that answers your real question.
From prototype to production — LLM-powered apps, agents, and interfaces built to hold up once real people start using them.
Quiet systems that take the repetitive work off your team's plate and hand the hours back. No dashboards nobody opens.
Connect the tools you already pay for so information moves on its own, instead of through someone's copy-paste ritual.
A short, focused engagement to find out whether an AI idea is worth building — before you commit a budget to it.
Different starting points, same approach: understand the problem first, then write only the software it actually needs.
You have a sharp idea and a short runway. We help you get something real in front of users fast.
The work is getting done, but too much of it is being done by hand. We find the parts a machine should own.
You have systems that work and can't be disturbed. We add capability without breaking what's already running.
Huckleberry Lane Labs stays small because that's what makes the work good. You talk to the people writing the code, every week, in plain language.
No pitch deck required. Describe the problem in a paragraph and we'll tell you honestly whether it's something we can help with.