For Enterprise Companies
AI Engineering and software development for enterprise companies.
Your AI has to answer to compliance, security and twenty years of systems built around each other. We specialize in implementing these constraints into systems that hold large amounts of data, with GDPR and HIPAA grade controls throughout.
Partnering with the world's leading enterprises
Most enterprise AI stalls between the demo and the rollout. We help you scope your initiatives for real use cases with integration, governance, and ownership included.
We design the platform infrastructure your data, and your models have to liv inside of - compute, storage, feature access and orchestration, bridging the gap between legacy and modernized AI systems.
We cut through the hype and show you exactly where AI moves your numbers and where it doesn't. You leave knowing which use cases are worth the spend and which to skip.
Clear guardrails for data, access, and model use, compliant with HIPAA, GDPR, SOC 2 and ISO standards so you can adopt AI without exposing the business.
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
The Amsterdam platform for surgical education and OR readiness. Our engineers work on it through Levi9.
850+
Courses in Academy
40%
SPD errors cut at OhioHealth
15%
Faster OR turnover at IJsselland
Autodesk Flow Studio, an AI production platform that turns a prompt into a rigged character and a finished shot.
2.5×
Faster video processing
80%
Automated VFX work
3 years
Ongoing partnership
The loan management platform behind a Dutch core banking provider running at 40+ banks. Now Akkuro by Topicus.
$45B
Annual loan volume
$13B
Deposits managed
133B+
Assets under management
“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.
“Nortik have provided the real professionals we needed when time was of the essence. The constant availability and support have made them one of our closest partners for long term collaboration.”
Senior engineers staffed on short notice, on an ongoing partnership.
“The feedback for Nortik engineers is truly outstanding, and we are very satisfied with the collaboration. I’m eagerly awaiting a moment to bring on additional people and expand this partnership going forward.”
AI engineers embedded in Florence's product teams, on a platform serving 65,000+ research sites.
and over 40 successful partnerships including
What enterprise teams usually need settled before a first engagement. Not here? Ask us directly.
We build to your controls from the first sprint: data handling, access boundaries, audit logging and retention, designed in rather than bolted on once review pushes back.
We work under GDPR and HIPAA obligations routinely, and we complete your security questionnaires, DPAs and vendor assessments during onboarding instead of months into the work.
Yes. We contract on your paper: MSA, SOW, DPA and whatever else your legal and vendor management teams require, with the SLAs written into the agreement.
If procurement is the long pole, we can usually start a scoped first phase while the master agreement is still moving.
We start from your architecture instead of a reference one: your data warehouse, your ERP and CRM, your identity provider, your CI, and the internal services nobody has documented in years.
That integration work is most of the project. An AI system the business has to work around does not get used.
We scope to production from the start: who owns it, what it connects to, how it is monitored, and what happens when a model degrades.
A proof of concept that cannot survive security review, real data volume, or a real user's edge case is a demo. It was never a step toward production.
Usually that is the right order. One scoped use case, shipped to production with real users, tells you more than any evaluation exercise.
Engagements planned for six months or longer open with a two week trial, so you can see the team work before the larger commitment.
Your call. We can hand over to your team with the architecture, decisions and runbooks documented, or stay on for monitoring, iteration and the next phase.
You own everything from day one either way: code, models, infrastructure, with no licenses and no lock-in.
