We believe
the person who understands a problem most deeply will always build the better solution.
After having worked on different projects where AI features were shipped on hope and almost never iterated on, we decided to build a tool that fill that gap.
A tool that can be used by product managers, not just engineers
Founded
2025
In Germany & Romania
Team
4
Across 2 countries
Experiments ran
1503
Real data, real use cases
Live workshops
15+
for product managers
We shipped AI on a hope.
It did not feel right.
We worked on different projects which built features with AI. The model was chosen on hype, the results were mediocre, but nobody knew how to iterate.
As product managers, we saw how AI features are gatekept by engineering, even though the most expertise on the product comes from the PMs.
Lovelaice is the answer to the lack of tools and process we saw. We built it for product experts, so they can lead the AI, validate and iterate on it. To build real impactful products.
098Anton Berlin
Co-founder · COO
Catalina Turlea
Co-founder · CEO
Madalina Turlea
Co-founder · CPO
We help teams make confident decisions based on data, not hope.
Product experts in the lead.
AI defaults to engineering because that's where the technology used to live. With LLMs, the programming language is context, and context comes from product managers, compliance officers, doctors, lawyers.
Ship and hope is over.
The teams that pull ahead in the next few years won't be the ones with the flashiest AI label. They'll be the ones who can answer, with data, the question every customer is starting to ask: does your AI actually work?
The economics of software have quietly changed.
In traditional SaaS, your most engaged users are your best users. With AI features, they're your most expensive users. If a feature isn't earning its keep, it's silently eating your margins. We help teams find that out before it matters.
Why Lovelaice?
Ada Lovelace was the first programmer. More precisely, she was the first person to understand that computing was about more than calculation, that it could reason, create, and transform knowledge.
She had depth in her field and a different way of thinking. She was also our inspiration when choosing a name.
She is a feminist symbol by having such insights, before the industry made women the exception.
098Inspired by Ada
For more women founders and women in AI.
Three things
we will never
stop believing.
Each one connects directly to a product capability. None of them are negotiable.
The expert is the expert.
Domain knowledge is not a soft skill. It is the thing that separates useful AI from generic output. We build for the person who knows the field.
Data beats gut feel. Always.
Ship and Pray is not a strategy. Every decision about your AI feature should be backed by evidence you can show, defend, and build on.
Speed without proof is risk.
Product moves fast. That is not an excuse to skip validation. It is the reason to make validation fast. That is exactly what Lovelaice does.
Ready when you are