Built by a practitioner.
Not a prompt engineer.
ELVQ exists because generic AI tools failed in the real world. They were powerful on demos and useless in client work — not because the models were bad, but because they had no memory of who you were or what you were trying to build.
Julian Peters
Founder — ELVQ
I started as a growth consultant working with Dutch founders, coaches, and professional service firms. The work was always the same in structure: help them get clear on their positioning, build a content system, and turn that into consistent revenue.
When AI tools matured enough to be useful, I started integrating them into client workflows. The results were frustrating in a specific way — the models were capable, but they had no idea who the client was. Every session began with a wall of context. Every output had to be corrected for tone, audience, and situation.
I built ELVQ to fix that. The BusinessProfile system means agents know your business before they respond — your market, your voice, your current priorities, your past decisions. The output is useful from the first message.
The agency is still running. That's intentional. Every week of client work feeds directly into what we build next on the platform.
Julian Peters
Founder, ELVQ
Currently
- Running ELVQ Agency — NL client work
- Building the ELVQ platform
- Based in the Netherlands
Why we run the agency and the platform together.
Most software companies lose touch with the problem they originally solved. They stop talking to customers. Product decisions get made in conference rooms instead of client calls. The gap between what the product does and what users actually need gets wider every quarter.
Running an active agency prevents that. Every week, the same tools we ship get used on real client problems with real commercial pressure. If something is difficult to use or produces weak output, we feel it immediately — not in a support ticket six months later.
The agency clients also tell us what's missing. The integrations, the workflows, the edge cases. The ELVQ platform roadmap is essentially a prioritised list of things that came up in client work and couldn't be solved well enough without building them properly.
The rule we follow: Nothing ships to the platform unless it has been tested in agency work first. No hypothetical features. No solution without a verified problem.
How we got here.
2023
Agency founded
Started working with Dutch founders and coaches on growth strategy, content, and LinkedIn. First clients within 90 days.
2024
The AI problem
Began integrating AI tools into client work. Found the same problem every time: the tools were powerful but amnesiac. Every session started from zero.
Early 2025
First prototype
Built the BusinessProfile system — a persistent memory layer that every AI interaction could read first. Started using it internally for agency work.
Mid 2025
Specialist agents
Added five specialist agents tuned for the specific questions founders actually ask: strategy, content, marketing, research, and tech.
2026
ELVQ launches
Early access open. The agency continues to run in parallel — feeding real client problems directly into the platform roadmap.
What we believe.
Context over commands
Generic AI gives generic answers. The only way to get useful output is to give the model real business context — and remember it. That's the entire premise of ELVQ.
Restraint over feature bloat
We will not ship ten half-finished things. We ship fewer things, properly. Every feature on the roadmap earns its place by making the core product more useful.
Practitioners, not theorists
The platform is built by someone running a client-facing agency. Every feature exists because we needed it ourselves — not because a product manager thought it sounded smart.
Honest about what we are
ELVQ is an early-stage product. We publish the roadmap, say what's shipping and when, and don't overpromise. If something isn't ready, we say so.
Work with us.
Join the platform waitlist, or talk to us about what the agency can do for your business.