Insights from our team

Cubet Debuts at CES 2026: Whizz for Digital Health. Agentic AI to optimize patient care outcomes

At CES 2026, Cubet unveils Whizz—our agentic AI framework that brings real automation into healthcare without compromising compliance or disrupting workflows. Catch a live demo at Booth 50570 in the Venetian Expo.

AI Agents vs. Agentic AI: What’s the Difference, Really?

AI agents and agentic AI aren’t the same—and the difference matters. This blog breaks down when to use task-based agents, when to shift to agentic systems, and how Cubet’s Whizz framework helps orchestrate complex, outcome-driven workflows.

• AI Consulting

Unifying Intelligence: How MCP Servers Empower AI Agent Integration

Autonomous agents are reshaping software, but their true potential lies in coordination. This blog explores how MCP servers act as the backbone for agent collaboration—enabling AI systems to think, act, and evolve together.

• Artificial Intelligence

ITSM: What It Is, What It Solves, and Why Timing Matters

A practical guide to ITSM — what it is, when to adopt it, and why platforms like HaloITSM are helping organisations modernise support and scale operations efficiently.

Why Smarter, Not Bigger, Is the Future of AI

As AI hits the limits of scale, a new approach is emerging, recursive intelligence. Learn how compact, energy-efficient models are shaping the next era of AI by thinking better, not just bigger.

• Artificial Intelligence

Building Intelligent Agent Automation for Daily Software Development Workflows.

Explore how development teams use AI agents and n8n workflows to eliminate routine bottlenecks, boost productivity, and deliver smarter software faster.

• Automation

Designing Chatbot Memory: Lessons Learned.

Learn how Cubet built ALIS, a chatbot capable of remembering past interactions, recalling preferences, and holding context-rich conversations using layered memory and semantic search.

• Artificial Intelligence

From Chaos to Clarity: Reclaiming Deep Work with the Cognitive Load Assistant.

An in-depth look at the Cognitive Load Assistant (CLA)—an AI-powered system designed to filter noise, prioritise urgency, and give engineers back their most valuable asset: focus. Learn how CLA works, what it solves, and why it’s a crucial tool for modern software teams facing notification fatigue.

• Artificial Intelligence