Solutions

Solutions Built for Strategic Intelligence

Explainable AI frameworks and intelligent assistants that help organizations perceive, decide, and act with confidence.

SafeLoop RAN

Explainable, Safe, and Intelligent Closed-Loop RAN Optimization

SafeLoop RAN is a Model Context Protocol (MCP) compliant Mini-SMO for O-RAN networks. It integrates reinforcement learning with validation layers to deliver compliant, AI-driven RAN automation that operators can trust.

EU AI Act-Ready Automation — From Intent to Validated Action.

Semantic Validation

Knowledge graphs and reasoning pathways support trust and auditability in every system.

Hybrid AI Engine

Combines knowledge-graph reasoning with policy gradient optimization

Multi-Vendor Support

Vendor abstraction layer for Ericsson, Nokia, Huawei via 3GPP standards

Intent-Based Management

Translates business goals into validated, explainable network actions

Core Architecture Layers

MCP Protocol Layer

JSON-RPC interface exposing tools and resources

Mini-SMO Services

DME (Data),
OAM (Config),
Intelligence (Hybrid AI)

Validation & Provenance

SHACL, Constraint Engine, EU AI Act compliance

RL Policy Optimizer

HybridRANOptimizer, SemanticValidator, RANPolicyNetwork

AgentI Framework

Strategic Intelligence Core

AgentI is our intelligent strategy management assistant powered by GenAI and multi-agent systems. It connects analytics, forecasting, and human decision-making in one adaptive loop.

A comprehensive framework for building intelligent agent-based systems with structured request processing, consistent error handling, state management, and system integration.

Base Agents

Abstract base classes defining core agent capabilities with process_request and validate_request methods. Foundation for all worker and coordinator agents.

Routed Agents

Handle routing and orchestration with guardrail protection. EmailServiceRoutedAgent and WebSearchRoutedAgent coordinate specialized workers.

Worker Agents

Specialized agents performing specific tasks. Execute actions, process requests with confidence scores, and handle additional information flows.

Key Design Principles

Separation of Concerns

Each agent has specific responsibilities with clear boundaries
and interfaces.

Consistent Error Handling

Standardized error codes (AGENT-BASE-XXX, AGENT-EMAIL-ROUTED-XXX) with recovery hints.

Security First

Built-in guardrails using pluggable strategies for safe and appropriate agent behavior.

SECTOR FOCUS

Healthcare AI Initiatives

Advancing AI applications in healthcare to support clinical efficiency and patient care workflows

BrainHealthy

An initiative leveraging GenAI, RAG, and multi-agent systems to bring explainable AI to healthcare environments. Developed in collaboration with Enterprise Ireland.

Explainable clinical decision support
Patient care workflow optimization
HIPAA and GDPR compliance built-in
Reasoning-based recommendations

VoxEdu

A GenAI initiative focused on medical education, helping healthcare professionals learn and train through intelligent, adaptive AI systems.

Adaptive learning systems
Clinical scenario simulation
Intelligent knowledge assessment
Personalized training paths

Find the Right Solution for Your Organization

Whether you need an explainable AI framework, a strategic intelligence assistant, or healthcare-focused AI capabilities, we can help.