For Funded Startups
AI Engineering and software development for funded startups.
You raised to build, not to recruit. Our team helps you run 3-6 month sprint to accelerate your roadmap with no empty headcount left at the end.
Partnering with the world's leading enterprises
The gap between the raise and the first real release is where startups lose a quarter. We help you close the gap.
Have your main team focus on the core build, while we handle the new roadmap. Accelerated software development using AI engineering principles that help you move 8-12x faster.
No ramp-up tax. The team lands aligned and shipping in weeks, moving at the pace your roadmap actually needs, sometimes even faster.
$150M+ in value generated and raised across the companies we build for. We know what a technical diligence looks like from the other side, and we build so the answers hold up.
From retrieval pipelines to production inference, we build the hard parts of scalable production-grade AI systems.
We work inside your rituals. Daily standups, sprint planning, demo days. You always know exactly where things stand.
Our engineers work European hours end to end. For EU teams, we're simply there all day, every day.
Four hours of shared time with US teams, enough for standups, pairing, and decisions that can't wait. We offer a full 8-hour overlap in certain cases.
Compliance is built into how we work: data handling, access controls, and processes that hold up in regulated industries.
Our team owns outcomes for scoping, building, shipping, and standing behind what we deliver.
Engagements planned for six months or longer start with a two-week trial. If we're not the right fit, you walk away owing nothing.
Hiring in-house for engagements that are new and you're not sure how long they could last is a real risk. Discover why hiring our teams de-risks your delivery and keeps your margins healthy.
Time to start
Hiring in-house
Three to six months to hire a senior team, 1-2 months before they're actually productive
Generalist development agency
Available next week, staffed with whoever happens to be free that week
Nortik team
Team that already worked together assembled in 2–4 weeks
AI capability
Hiring in-house
The team learns AI principles on your time that you can't charge for
Generalist development agency
AI on the service list, without production systems behind it
Nortik team
AI-Native agency with 50+ team members to turn to for advice
Vetting
Hiring in-house
Time spent on screening and review
Generalist development agency
You vet the profiles available at the moment that might not be 100% fit
Nortik team
2-week trial process to de-risk your hires
If an engineer leaves
Hiring in-house
Back to a three month hiring cycle, mid-engagement
Generalist development agency
A replacement arrives and their ramp-up is billed to you
Nortik team
30-day free of charge knowledge transfer and onboarding
What you pay for
Hiring in-house
You cover sick leaves, absences and holidays
Generalist development agency
Usually a retainer model
Nortik team
Raw working hours, no vacations and no sick leaves
Accountability
Hiring in-house
Performance managed over quarters, not sprints
Generalist development agency
Hours billed, with the delivery risk still sitting with you
Nortik team
SLA-backed in the contract
What it costs you
Hiring in-house
Salary, benefits, tooling, and recruiter fees before day one
Generalist development agency
A low day rate that gets expensive in rework and management time
Nortik team
A fixed rate you price your margin against upfront
When the engagement ends
Hiring in-house
Salaries keep running with no engagement left to bill them to
Generalist development agency
The team dissolves and everything it learned about your client goes with it
Nortik team
Zero overhead and a fully documented delivery for future references
Our embedded engineer built the AI studio where fashion brands turn a catalog into on-model imagery and try-ons.
80%
Faster content production
50-75%
Less CO₂ than samples
21.7s
Average generation time
A loyalty wallet, flight and hotel search priced against those points, and an AI agent that plans the trip.
30+
Loyalty programs
800+
Results per search
2
Travel APIs
A portfolio tracking and trading platform built end to end over three years, on a market data layer we built too.
50M
Data points daily
40
Exchanges connected
1
Single API
“Nortik have been a great partner for us, helping us to build out a strong frontend team that have been critical to the success of our product.”
The Observatory platform's frontend rebuilt, and a frontend team taken from two engineers to eight.
“Nortik not only delivered a solid foundation but their solution also helped us raise our first investment that same year. They feel less like an external partner but more like an in-house part of our team!”
Enterprise-grade employee management solution with fully integrated SAP and Payroll services.
“Nortik created a strong microservice architecture that handled over 50m data points daily, which led us to ultimately become the 3rd product of the day on Product Hunt.”
Crypto and stock portfolio and trading platform, 40 exchanges behind a single API.
and over 40 successful partnerships including
What founders usually want settled before handing over the build. Not here? Ask us directly.
Two to four weeks from an agreed scope to engineers committing in your repo. Most teams get a first pull request inside the opening sprint.
If you are working toward a board date or a demo, tell us the deadline first. It changes how we scope, not whether we commit.
We charge per working hour per engineer, usually around 160-168 hours/month. No recruiter fees, no benefits load, no equity.
You scale the team up or down with notice, so the spend follows the milestone you are chasing instead of a headcount you committed to last quarter.
You do, completely. Everything produced under the engagement, including code, models, documentation and infrastructure, is yours from day one, with no licenses and no lock-in.
It matters at diligence: investors see a clean IP chain instead of a dependency on a vendor.
Yes, and it is the common case. We join your repo, your board and your standups, and work under your technical direction instead of running a parallel track.
For a first technical hire we can sit in on interviews as well, and get that person productive on the codebase we have been building.
That is how these engagements are meant to end. We hand over the architecture, the decisions and the context in writing, and stay on while your hires get up to speed.
There is no headcount to unwind and no notice period to serve. When it stops, it stops.
Yes. Investors ask harder questions now about how AI systems are built, what the models actually do, and where the data goes.
We prepare those answers with you, and make sure the codebase behind them holds up to the same reading.
