Neon Deer Data Labs is an independent, engineering-led data consultancy. We migrate, integrate, and engineer Attio for investment firms, B2B SaaS, marketplaces, and teams with stacks too complex for templates.
At Neon Deer Data Labs, we are a data engineering consultancy that helps teams make their data useful in daily work. Whether we are streamlining operations, automating workflows, or building scalable data infrastructure, our focus is getting the right data to the right place at the right time and in the right format.
CRM migrations are a big part of what we do, especially around Attio, but they are one piece of a larger picture. We take a holistic view: cleaning, transforming, and integrating data across the systems your team already depends on so the workspace produces real insight without the mess. We work with B2B SaaS, marketplaces, investment firms, and many shapes in between, because reliable data infrastructure quietly powers every kind of business.
The founder brings 15 years of experience to the work, and the team adds significantly more on top of that. We have seen most of the corners that come up, and we are comfortable explaining the choices in plain language to a technical team or to a non-technical founder. We are friendly, approachable, and focused on making your data work harder for the people who use it.
We get this a lot.
A name isn't everything, but it should be memorable. Neon Deer Data Labs is part homage, part practicality:
The name itself is half "quirky tech name" (because you shouldn't take yourself too seriously), half "memorable" (it's unique and sticks in your mind), and half "the domain was available" (hey, sometimes that's just the reality).
And the bonus? It has a nice rhythm: two syllables, one syllable, two syllables, one syllable – simple, balanced, and easy to say.
We're hiring data engineers, Attio solutions engineers, and GTM engineers who can wire systems together. If the work we describe on this site sounds like you, we want to hear from you.
Still reading? That probably means something resonated – whether it's how we think about data, how we work with teams, or just the fact that we seem like people you'd actually want to talk to.