Reliable AI at every layer.

Unlayer AI helps organizations design, evaluate, and improve AI systems that need to be explained, validated, and defended.

01 / Expertise

Focused expertise for complex, high-stakes projects.

We work where standard solutions are not enough: complex objectives, specialized domains, tailored ML modeling, and systems that must stand up to scrutiny.

01.1

AI strategy & advisory

Turn an ambiguous AI opportunity into a technically sound plan before committing engineering budget.

FeasibilityRisk assessmentTechnical roadmap
01.2

Reliable & explainable AI

Establish evidence that an AI system is trustworthy, testable, fair, and robust in real use.

LLM evalsExplainabilityMonitoring
01.3

Advanced AI R&D

Develop tailored methods when standard methods cannot meet objectives, constraints, or transparency requirements.

Neuro-Symbolic AIMulti-objective optimizationCausal analysis
02 / Selected work

What the work looks like in practice.

Selected engagements showing the business or technical problem, the AI method involved, and the result or work delivered.

Confidential clientSemiconductors
Interpretable AI optimization

Better performance, without sacrificing transparency

Result

A tailored interpretable AI method improved the target KPI by 30% while accelerating execution by 20x.

AI-first biotech
AI strategy & transparent modeling

Shaping transparent AI for scientific modeling

Work delivered

Helping define the AI direction and develop agent-based approaches for transparent, data-driven model discovery.

Pharma & MedTech
AI offering & prototype delivery

Turning AI opportunities into usable offerings

Work delivered

Developing new AI offering around technical validation (incl. LLM evals) and running internal pilots focused on practical time and cost savings.

03 / Approach

Rigor at every layer.

Good AI work starts before model selection and continues after deployment. Our approach keeps technical decisions anchored to objectives, evidence, and operational reality.

03.1 / Context first

Ground the problem

Start with the objectives, constraints, available data, current baseline, risks, and expected return.

03.2 / Rigor over hype

Right-size the method

Choose the simplest approach that meets the need, from classic machine learning to LLM agents and specialized AI methods.

03.3 / From concepts to code

Carry it through

Support the work from technical strategy and reliability guidelines through to prototype and production implementation.

Unlayer AI mark
Senior-led practice

Research depth meets industry delivery.

Unlayer AI is led by Dr. Marco Virgolin, who combines cademic AI research, senior industry leadership, and hands-on engineering. He has led AI teams, built production ML and LLM systems, and published work in explainable AI, optimization, and responsible AI.

Leadership profile
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Let's unlayer your challenge.

Whether you need an independent technical view, a reliability framework, or hands-on R&D support, tell us what is at stake.

hi@unlayer.ai