Unimatch Lab
We invest in and build AI ecosystems that improve the lives of millions of people
A venture studio. We build the products ourselves, and we run them.
What we are
We grow the products ourselves, inside
A venture fund looks for startups on the market, listens to pitches and puts money into someone else's team. Ideas here come from the team, from our own pains. We check that the pain is real, and only then we build. The stake in each product stays with us.
We hire the team here
A fund finds a team outside and writes a check. We assemble the team in-house and incubate the product here, from the idea through launch.
Partners open the market
We build the products our partners want to see in UAE public services. They open the doors. We own the product and the technology. We are building the studio with them, and it shows in the products.
The path
From a matching product to a studio
Investors and startups
We had already built our own products and knew the industry. The product that followed matched investors with startups, the same mechanic as Tinder.
The market was narrow
The market we were in was too small to grow. That is why we moved on: a crowdfunding platform, and deeper into AI.
We became a studio
We pivoted out of that product into a new direction and became a venture studio. We build our own products, with partners in the UAE.
The thesis
We believe the next 5 years belong to ecosystems
So we don't ship standalone products. We grow families of products with shared context, memory and infrastructure, where one window closes many jobs.
A narrow AI product can disappear in the next release from Google or Meta. Almost everywhere inside there is AI: some classic ML, mostly agents. We only build what we use ourselves, at work and at home. Almost all of us have families and kids, so the kids direction was not an accident.
Portfolio
Products we use ourselves
We don't invent problems. We use every product ourselves, at work and at home.
It replaces screen time
Kids sink into tablets and phones, and nobody really controls it. Neybo is a plastic body with swappable covers and characters the child talks to, ages 4–10. No YouTube, no browser, no open internet. The parent sets the time and the topics and gets a short daily note. Around it: a series, cards, merch, and a kids’ AI university, where the child builds a first agent. First the US, then the UAE, through partners.
What needs a decision
Product lives in Jira, finance in spreadsheets, legal in documents. Cortex connects once and each morning shows what needs a decision, where the data came from and how fresh it is. Money and anything external wait for a person. Already live on our data: a CEO assistant in Slack, and Legal OS. HR and finance are next. Us first, then partners in the UAE, then the market.
Portfolio
Three more directions
The first with revenue
Partners in Dubai open the doors. We own the product and the technology. First product looks for forged documents in real-estate deals. It has an AI certification in the UAE and runs inside Dubai Land Department. Next: one place to open and run a business, hosted on servers in the UAE. Clients are ministries, departments and large companies, so the cycles are long and the security bar is high.
Health in one place
Watches, training, food, clinic reports. Out of that, one picture: what to pay attention to, and how to keep health and output. It works as a coach, a trainer and an advisor. Early prototype.
English inside your life
AI drills on your own topics, plus an invite-only community, on a subscription. Most of us are expats, so English is our own pain. We want the team on English through it too.
Incubation · full cycle
We enter every company as a strategic investor and operating partner
We incubate products from the idea through go-to-market, spin-off and exit.
Idea & validation
We hit the problem ourselves, shape the idea and the business model, then test demand on real people fast.
Prototype
We build a working MVP we use ourselves, roll it out inside the Lab and our partner community, gather feedback and iterate.
Founding team
CEO owns vision and prototype, founding engineer owns the working product, Lab covers infra, GTM, legal and shared services.
Launch & spin-off
We launch, reach first revenue and spin the product out into its own company.
Seed & scale
We reach stable MRR and clear unit economics, raise a seed and scale.
Exit or cash cow
An exit, or a cash cow paying dividends that fund new products.
How the studio is built
One company hires. Each product has a core.
Everyone is hired here
Shared HR, legal, finance, infrastructure and marketing. One back office for the whole studio.
A core of three
Product, founding engineer, and the person who takes it to market. The rest joins as the product grows.
The studio is behind you
You run the product. Capital, network and the shared team are already there.
Ambition
That is the portfolio target. The directions are very different. Some products we may sell. Some stay inside.
Motivation
Fixed, plus a bonus that scales
It depends on the role. The base is the same shape: a fixed part for the scope of the role, and a bonus tied to OKRs.
The scope of the role
Covers the core scope of the role.
A ladder, from 70%
70% is the floor. Above it, the bonus scales with the result. At 85% it is paid in proportion. The exact scale comes at the offer.
In the product
One-year cliff. Four-year vest.
Leadership roles
Where the result depends on how the product performs.
How we work
Remote, one overlap, a US contract
Remote, Europe and the US
The shared window is 15:00–19:00 CET. That is when the main conversation and the sync happen.
B2B with our US company
You contract as an individual with our American company. We started in the UK. We work for the US market, so the entity is moving to Delaware. You pay your own taxes and use your own laptop.
Once a month, in USDT
While the US setup is still being put in place, we pay in USDT. Wallets pass an AML check. The move is to ordinary fiat payments.