Unlayer AI

Illuminate AI's layers, from black-box to crystal-clear

We consult in explainable AI, from explaining black-box systems to benchmarking agent behaviors, to reduce risks and deliver insights you can trust.

Why Explaining AI Matters

Trust, clarity, and accountability are what separate reliable AI systems from risky ones. As AI has become integral to a wide range of industries, so has the need for explainability. Since 2018, interest in "explainable AI" has increased 37-fold (Google Trends analysis). 40% of firms cite poor explainability as a key barrier to AI adoption—yet only 17% are addressing it [🔗 McKinsey 2024]. Physicians rank explainability as the #1 factor in trusting healthcare AI [🔗 Nature 2024]. Non-compliance with regulations can lead to severe penalties, such as fines of tens of millions of euros or 3-7% of global turnover [🔗 EU AI Act 2024].

At Unlayer AI, we're experts in explainable AI (XAI). We help you uncover how your AI models work, replace unnecessarily complex black-box models with transparent alternatives, and build tracing and evaluation suites to monitor your AI systems—whether you use tree ensembles, deep neural networks, or multi-agent systems.

Our Approach

1

Context Matters

We propose algorithms tailored to your real-world context—factoring in who’s affected, what data you have, your model’s purpose, and how much autonomy it needs.

> Clear mapping between risks and mitigation strategies.

2

Simplicity First

We don’t overcomplicate things. We assess whether simpler, more modular, and more generalizable solutions can get the job done before resorting to complex black-box models.

> Faster implementation, easier debugging, and clearer value.

3

Lasting Impact

We use accessible tools, document our work, and provide you with knowledge to stay in control as your data and systems evolve over time.

> Long-term reliability and maintainability.

Our Services

We are specialized in technical implementation of responsible AI solutions, focusing on explainability, interpretability, and compliance. Our services include:

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Model Interpretability

Uncover how AI systems come to their decisions or replace black-box models with inherently interpretable ones.

  • Feature attribution & counterfactuals
  • Rule-based & symbolic models
  • Causal machine learning
  • Multi-agent tracing systems
⚖️

Fairness & Regulations

Identify & contain risks to safeguard your users and minority groups, addressing regulations such as the EU AI Act.

  • Implementation of risk mitigation
  • Fairness checks & bias detection
  • Synthetic data for enhancing privacy
  • Continuous monitoring frameworks
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Explainability Training

Empower your team with the knowledge to build, maintain, and communicate about explainable AI systems.

  • Technical workshops
  • Executive briefings
  • Documentation templates
  • Scientific paper co-authoring

Get In Touch

Have questions about explainable AI or want to discuss how we can help your organization? Reach out to us using the form or contact details below.