AI strategy · product · engineering

Turn AI into an operating advantage.

Quarzo.ai helps companies identify where artificial intelligence creates value, design a rigorous roadmap, and ship it into production — across products and internal workflows.

A free first conversation. We start with your problem, not a generic sales deck.

PhD-level AI research European industrial research Fortune 500 environments Document & multimodal AI Products for EU and US markets

The starting point

AI does not start with the model.
It starts with a business decision.

We connect strategy, data, models, and delivery to turn complex uncertainty into a path you can verify.

01

Unprioritized opportunities

Too many possible use cases and no shared way to decide where to begin.

02

Build vs. buy

Tools, APIs, open-source models, and vendors are hard to compare rigorously.

03

Fragmented data

Documents, images, and company knowledge are not yet ready to become a system.

04

Pilots without production

Promising demos without evaluation, ownership, security, or workable economics.

Three levels, one path

Understand. Design.
Deliver.

Every level resolves a specific decision. Start wherever makes sense for your current situation.

02 — Designfrom €12,000 + VAT

AI Transformation
Blueprint

From use case to an investable, executable plan.

  • Architecture, data, and models
  • Costs, ROI, risks, and governance
  • Evidence-based build vs. buy
  • 90-day / 12-month roadmap
For companies prepared to invest with evidence.
03 — DeliverOn request

AI Delivery &
Technical Stewardship

We take the plan into production, directly or alongside your team.

  • PoCs, pilots, and production systems
  • Evaluation, observability, human review
  • Guidance for partners and teams
  • Knowledge transfer
For selected projects with real potential.

How we work

Rigour is a form of speed.

Technology evolves quickly. A clear method keeps you from chasing every novelty and focuses energy where it matters.

Discuss your context
01

Problem before model

We start with users, process, and metric — not the latest available model.

02

Evidence before promises

Explicit assumptions, benchmarks, and evaluation make decisions defensible.

03

Technology independence

Proprietary, open source, external tool, or no AI: we choose what fits the case.

04

Adoption beyond the demo

People, control, feedback, cost, and maintenance are one system.

Where we help

Concrete opportunities,
not AI for its own sake.

We engage when a process, product, or decision deserves to be improved.

Document intelligenceKnowledge systemsMultimodal AIProduct copilotsWorkflow automationQuality controlHuman-in-the-loopAI-native products

These are opportunity categories, not guaranteed outcomes. Every case needs data, evaluation, and controls proportionate to risk.

Pricing

A clear first step.
An investment in proportion.

Transparent pricing for initial decisions. Travel and third-party costs are excluded.

01 — AI Opportunity Scan

€1,900

+ VAT · one week

A grounded map of opportunities, priorities, and order of magnitude for investment.

Request the Scan

02 — Blueprint Scale

€22,000

+ VAT · 4–6 weeks

For use-case portfolios and deeper transformation across workflows or business units.

Assess the scope
03
Delivery, technical stewardship, and on-site workProjects and engagement models quoted after discovery.

Why Quarzo.ai

Research depth.
Product reality.

Quarzo.ai brings together advanced research and real-world product delivery. The team combines PhD-level AI expertise, experience in European industrial research, Fortune 500 environments, and AI products for the US market.

Multimodal models, Document AI, Graph Neural Networks, topological models, evaluation, and end-to-end AI systems: that depth serves one clear purpose — separating an interesting demo from a system that creates value, can be measured, and stays operational.

MultimodalDocument AIEvaluationAI systemsProduct strategy

FAQ

The questions
that matter.

If yours is not here, write to us. A good question is often already part of the answer.

Do you work with companies that do not have an internal AI team?+

Yes. The engagement adapts to your organisation's maturity. We do need an internal sponsor and access to the people who know the product or process.

Do we have to share code or data?+

Not for the Opportunity Scan. A Blueprint can benefit from examples, documentation, or parts of a system, always in an agreed and confidential scope.

Do you recommend proprietary or open-source models?+

It depends. We assess quality, total cost, privacy, latency, control, lock-in, and team capability. The answer may also be an existing product or a non-AI solution.

Can you implement what you propose?+

Yes, directly for selected projects or as technical lead for a delivery partner or your own team.

How do you treat confidential information and personal data?+

Before receiving sensitive materials, we agree on NDA, access, retention, approved tools, and responsibilities. Please do not send personal data, code, or confidential documents through the public form.

Start here

A slow process, a product to evolve, or too many AI ideas to prioritise?

In 25 minutes, we will understand whether Quarzo.ai is the right partner and what first step makes sense for your company.

Please do not send personal data, code, or confidential documents through this form.