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BlueCube is the AI enablement platform that lets you get started with multi-agent solutions for your business. Transparent, reliable and fast.

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It's as easy as A, B, C.

The hardest part of progress is overcoming inertia and resistance to change. The key dimensions of rapid innovation are not XYZ, but ABC. Start at the beginning, and the rest will follow.

Assessment

Objective: Understand today.

Change is only possible when you know where to start. BlueCube helps you to identify concrete use-cases for improvement within clearly defined objectives.

Blueprinting

Objective: Visualise tomorrow.

Once you know your objective, the next step is to define how a solution could look like. BlueCube helps you shape ideas into clear outlines of how an agentic AI solution may solve a specific challenge.

Concepting

Objective: Build the future.

The final step to getting started… is to start. BlueCube lets you build multi-agent AI applications instantly. This allows you to quickly test the impact of solutions and make an informed decision on a wider roll-out.

What happens after concepting?

Now that you know what you need, how a solution looks like, what works and what does not, it's time for the final step.

Introducing Step D: Develop or Dump.

When the concept has proven itself, it is time to further develop it into a production-ready tool. BlueCube lets you test and tweak the solution in a controlled environment with a larger audience until you are satisfied it can be released into production.

But what about Dump? A key concept of agile innovation is to develop the ideas with the most potential, and scrap those that don't meet expectations. This portfolio approach to innovation lets you spread your bets, reducing risk and freeing up time and budget for the winners.

BlueCube lets you manage this portfolio of ideas. And since the effort of getting to step C is so low, dumping an underperforming concept won't break the bank. Or your heart.

Build your AI team

Harness the power of AI to streamline your operations and boost productivity.

User
Planner
Researcher
Secretary
Task Manager
Communicator

Example AI Use Cases We Can Help With

Adaptive Customer Support

An AI agent that handles initial customer inquiries and escalates complex issues to human agents seamlessly.

Intelligent Document Processing

An AI system that extracts and processes information from documents, flagging ambiguous cases for human review.

Personalized Learning Assistant

An AI tutor that adapts learning content based on student performance and consults human teachers for complex educational decisions.

Collaborative Content Creation

An AI agent that generates drafts and iterates on content with human creators, incorporating feedback and refining outputs.

Automated Code Review

An AI agent that reviews code, suggests improvements, and flags potential issues for human developers to address.

Financial Fraud Detection

An AI system that monitors transactions, flags suspicious activities, and collaborates with human analysts to investigate and resolve cases.

Research Assistant

An AI agent that gathers and synthesizes information from various sources, presenting findings for human researchers to validate and expand upon.

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