We become
your CTO.
What kind of founder are you?
You have a sharp idea and domain conviction but no technical foundation yet. We help you validate, architect, and build from the very first decision.
You sit on a unique or proprietary dataset and know there's a business in it. We help you turn raw data into a defensible AI product others can't easily replicate.
You have deep expertise — clinical, financial, legal, logistics — that has real commercial value when combined with AI. We provide the technical co-founder layer you're missing.
You have a working business and need AI to unlock the next level — better product, stronger defensibility, new revenue streams. We plug in at any stage.
From first conversation
to funded, scaling company.
We use a structured 7-stage venture creation framework — built from four successful co-founding experiences. Every stage produces something tangible. Nothing is theoretical.
01
We map the market opportunity, challenge the assumptions behind the idea, identify the core AI hypothesis, and validate whether the data and problem support a fundable venture. Honest, fast, and structured.
02
We design the technical architecture, choose the right stack (Azure or GCP), and build the data foundation. Every decision is made with scale in mind — not just what works for the POC, but what runs in production at 10× volume.
03
A working AI system on real data — not a prototype on synthetic examples. We build the core AI capability, validate it against real business conditions, and produce something you can put in front of investors or early customers.
04
The validated AI capability becomes a product. We build the full application layer, UX, integrations, and controls needed for early customers to use it. We design for adoption from day one — not as an afterthought.
05
We work alongside you to iterate the product based on real customer feedback, refine the AI models with production data, and find the commercial positioning that converts. This is where most ventures succeed or fail — we've navigated it before.
06
Growth requires more than a great product. We help you build the organisation — hiring profiles, team structure, technical onboarding, and the internal AI capability that lets the business scale without being entirely dependent on us.
07
Go-to-market strategy, partnership development, investor readiness, and expansion into adjacent markets. The goal is a company that stands on its own — with us as a long-term partner, not a permanent dependency.
What You Get
A technical co-founder
who brings the full stack.
When Intellerts co-founds with you, you’re not hiring a development agency. You’re gaining a founding team member with ten years of AI delivery experience across industries — and skin in the game.
The right technical decisions from day one — not ones you'll need to undo at Series A. We design for scale, defensibility, and data moats from the first line of code.
Models trained on your data, tuned to your domain, and explainable to your customers and investors. Not generic APIs wrapped in a thin product layer.
Secure, scalable foundation on Azure or Google Cloud — with CI/CD pipelines, MLOps, monitoring, and governance built in from the start, not retrofitted later.
A product that customers actually use — not just a model that performs well in a notebook. We build the application layer, dashboards, and controls that make AI accessible to real users.
The hiring profiles, team structure, and onboarding framework to build your internal capability. We help you hire the right people and set them up to succeed — so the company grows beyond us.
Technical due diligence preparation, architecture documentation, model performance benchmarks, and the narrative to communicate your AI defensibility to investors at every stage.
Engagement Models
How we co-build —
three ways to start.
The right structure depends on where you are and what you need. All three paths lead to the same place: a real AI company with real customers.
Not sure if the idea is technically feasible or commercially viable? We run a structured validation sprint before any significant investment is committed.
We become your technical co-founder — from first architecture decision to scaling company. Skin in the game, full ownership of the technical side of the venture.
You have a working product and traction. You need AI capabilities, better infrastructure, or a stronger technical foundation to reach the next funding round or enterprise customers.
Healthcare · Digital Therapeutics
d-HealthIQ
An AI-powered remote patient monitoring platform connecting patients and care teams through continuous biosignal monitoring and intelligent analytics. First-in-EU certified digital therapeutic. Built from R&D concept to market-ready product.
FEWER READMISSIONS
FEWER ER VISITS
SAVING / PATIENT / YEAR
Mindaugas Leonavicius — CEO, d-HealthIQ
Fintech · Invoice Financing
RiskFin-IQ
AI-native invoice financing platform for a pan-European financial operator — real-time risk insights, payment prediction, and automated lending decisions with full explainability and governance. Built using the complete 7-stage venture framework.
Predictive accuracy
Cost vs paper process
Marketing · Brand Intelligence
MindSync
Psychometric AI for brand communication — NLP, LLMs, and GenAI for perception modeling, trust scoring, and data-driven brand strategy. Built for brand strategists who needed AI to make their expertise scalable.
Finance · Audit Automation
FDS Platform
Set expectations early
What a dev agency gives you
Code that works in demos but hasn't been designed for scale or production
No ownership of outcomes — they deliver the sprint, you figure out the rest
Generic AI wrappers around third-party APIs with no real defensibility
Technical debt that costs 3× to fix at Series A
No input on product, market fit, or commercial strategy
What a technical co-founder gives you
Architecture designed for scale, governance, and investor scrutiny from day one
Full ownership of outcomes — we're co-responsible for the company's success
Real AI models trained on your data, creating genuine technical defensibility
10+ years of AI delivery experience navigating exactly the decisions you'll face
Strategic input on product, commercial model, and team — not just code
Founder Voices
From research and development to architecture design, MVP development, and the ongoing evolution of our platform, Intellerts has been a key driver of our success. They don't just build the technology — they co-own what we're building.
d-HealthIQ — AI Health Venture
What set Intellerts apart was that they brought both the technical depth to build a genuinely complex AI system and the commercial thinking to make sure it was something real customers would actually pay for. That combination is rare.
RiskFin-IQ — AI Fintech Venture
Founder Questions
Things founders ask
before they commit.
Every co-founding engagement is structured specifically — there is no standard template, because every venture is different. Equity structures, IP ownership, and decision-making rights are agreed transparently at the start. The principle is always that you, as the domain founder, are the primary equity holder. We structure our involvement to align incentives, not to accumulate control.
That’s a completely valid starting point — some of our best ventures started from exactly there. We run a structured validation sprint first to assess whether the idea is technically feasible and commercially viable before committing to a full co-founding engagement. You’ll have a clear, honest answer within three to four weeks.
We operate under implied confidentiality from the first conversation and can sign an NDA at any point — including before the first call if you prefer. We have worked with founders in highly competitive spaces and understand that the idea itself is often the most sensitive thing in the room early on.
The strongest fits are ventures where AI is genuinely core to the value proposition — not a feature layered on top of a conventional SaaS product. We look for: a real, painful problem in a domain with data; a founder with deep domain expertise or unique data access; and a commercial opportunity large enough to justify the investment in building AI-native from the ground up. We’ll tell you honestly if we don’t think it’s the right fit for us.
We support investor readiness directly — technical due diligence preparation, architecture documentation, model performance benchmarks, and the narrative around AI defensibility that investors scrutinise most heavily. We also have a network of investors and ecosystem partners across Europe with exposure to AI ventures. We don’t operate as a formal fundraising advisor, but we have helped co-founded ventures navigate seed and Series A processes effectively.
The goal from day one is your independence. We design the architecture, build the team, and transfer the capability so that the company doesn’t need us to function. The transition is gradual and collaborative — typically as you hire and onboard your own technical leadership. We remain available as advisors and partners, but we actively build toward the point where you don’t need us in day-to-day operations.
Your idea deserves
a builder, not a vendor.
Tell us what you’re building. We’ll tell you honestly whether we’re the right partner — and what it would take to make it real.
Engineering Intelligence from Data
AI Venture Studio & Enterprise Builder. Building AI companies since 2015 from Utrecht (NL) and Kaunas (LT)
Service we offer
What We’ve Built
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SERVICES
Strategic AI guidance aligned with your business objectives.
Modern data infrastructure for AI workloads
Bespoke AI models for unique business challenges.
Designing, launching, and scaling AI-driven business ventures.
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