UKU - Transparent AI

Neurosymbolic & Auditable

Trustworthy AI Solutions for Regulated Industries

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The Problems We Solve

AI Hallucinations

Ensuring accuracy and reliability in AI-generated responses by eliminating false or misleading information that can occur with traditional AI systems.

Lack of Transparency

Providing full audit trails and explainable AI decisions, making every step of the AI reasoning process visible and accountable.

Regulatory Compliance

EU AI Act ready solutions that meet strict regulatory requirements for AI systems in regulated industries and critical applications.

Our Solutions

Neurosymbolic AI

Combining the power of neural networks with symbolic logic to create AI systems that are both intelligent and interpretable, bridging the gap between machine learning and formal reasoning.

Knowledge Representation & Reasoning (KRR)

Structured knowledge systems that enable precise reasoning and decision-making, ensuring AI outputs are grounded in verifiable facts and logical rules.

Retrieval-Augmented Generation (RAG)

Enhanced AI responses through intelligent information retrieval, ensuring answers are based on accurate, up-to-date, and relevant source materials.

Multi-Layer Architecture

Personal, collaborative, and global knowledge layers that adapt to your specific needs while maintaining consistency and accuracy across all levels of operation.

How UKU Works

User Query

Your question enters our Integration Layer with RAG

Knowledge Processing

Structured Knowledge & Rules + Logical Validation

LLM Integration

Validated Context to LLM (Bring Your Own LLM)

Transparent Output

Transparent & Traceable Decision Output

Industries We Serve

FinTech
Healthcare
Legal
Compliance
Auditing
Defence

Meet Our Team

Otto Mättas

AI and Technology Lead

Otto is an experienced AI engineer specializing in machine learning, knowledge representation, and logical reasoning systems. With over 15 years in technology leadership and software development, Otto oversees UKU's core AI platform and infrastructure. He ensures UKU's technological solutions are robust, scalable, and adhere to industry standards.

Kirke Maar

Head of Public Partnerships

Kirke brings over two decades of expertise in public relations and strategic partnership management. She specializes in cultivating relationships with government bodies, educational institutions, and community organizations. Kirke ensures UKU's initiatives align with public interests, fostering collaborative relationships that maximize social impact.

Henrik Aavik

Chief Operating Officer & Head of Sales

Henrik is an accomplished sales and business development professional with extensive experience in B2B technology markets. His role involves crafting and executing UKU's sales strategies, managing key client relationships, and driving revenue growth. Henrik's dynamic approach ensures market expansion and a strong presence across target industries.

Julian Kaljuvee

Advisor

Julian brings over a decade of AI/ML engineering and data-science expertise, with a career spanning roles at Microsoft and as a former quantitative analyst at top-tier financial firms (Goldman Sachs, JPMorgan, LSEG, UBS), as well as a co-founder of fintech ventures like Bondora and EstateGuru. With graduate studies in Economics & Applied Mathematics (Harvard) and Statistics (Columbia), Julian advises UKU on advanced AI agent design, generative-AI strategy, and bridging neural-symbolic approaches to financial and compliance use cases.

Why Choose UKU?

Fewer Hallucinations

Our neurosymbolic approach significantly reduces AI hallucinations by grounding responses in verified knowledge and logical reasoning.

Full Transparency

Every AI decision comes with complete audit trails, making it easy to understand how conclusions were reached.

Adaptable to Regulations

Built to meet evolving regulatory requirements, including EU AI Act compliance and industry-specific standards.

Privacy-First

Your data remains secure with our privacy-first architecture that keeps sensitive information protected.

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