AAAxAgents — Hybrid AI Research
Research Focus

Hybrid AI Research

While general models struggle with hallucinations, we work to reduce them significantly through hybrid AI.

Click Any Node to Explore

Symbolic Intelligence
Domain Knowledge
Encode expert rules, constraints, and causal process knowledge.
Neuro-Symbolic Core
Hybrid Reasoning
Fuse learned representations with explicit knowledge and constraints.
Human-Centred AI
Explainability
Turn complex reasoning into clear, traceable recommendations.
Sub-Symbolic Intelligence
Data & Models
Learn from sensor streams, images, documents, and time-series data.
Distributed Intelligence
Edge Cloud Agents
Place fast decisions at the edge and deeper reasoning in the cloud.
Interaction & Learning
Human Feedback
Capture expertise, corrections, and outcomes throughout the interaction.
Learning / Adaptation
Trustworthy AI
Assurance & Governance
Evaluate model quality, safety, traceability, and responsible operation.

Research Paper

AAAxAgents: Scalable Hybrid AI Agent for Industry

A closer look at how the neuro-symbolic core, distributed edge–cloud agents, and closed-loop learning combine into a single, production-ready architecture for industrial decision-making.

View DESRIST 2026 Paper →
AAAxAgents paper — page 1
AAAxAgents paper — page 2
Our Scientific Background

As an innovative startup, we continuously challenge the status quo.

Our scientific background helps us explore new technologies, develop proprietary knowledge, and turn research into practical AI solutions.

Benjamin Gigerl
→ Challenges in Assessing AI Model Quality in Low-Code / No-Code Platforms: A Literature Review
→ Contextualized Interpretability for AI Model Quality Assessment: Designing an LLM-Based Decision Companion for Domain Experts in LCNC Environments
→ Predicting Partial Discharges of Transformers: Decision Support System for Factory Acceptance Test
Christoph Spöck
→ Blame the Robot: Role Responsibility and Ethical Issues Regarding AI-Based Care Robots
Yazen Rihan:
→ Campus Courier: An Autonomous Delivery Robot On-Campus
→ Evaluating the Utilization of Grammatical Structures of Arabic Language in Hiding Bits
→ Close the Valley of Death - A Deployable Sniffer Robot For Hazardous Substances

Want to Work Together?

Send your research or cooperation proposal and let's explore what hybrid AI can do for your domain.

office@aaa-gigerl.com
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