We are in the midst of a profound transformation. The rise of Artificial Intelligence is no longer a theoretical scenario—it is happening now. Companies in the software and AI industries are already preparing to reduce their white-collar workforce by 60% or more. This is not a prediction; it’s a current, accelerating reality, fundamentally reshaping how we work, communicate, and create value.
The Real Value Behind AI, IP, and IT
Let’s consider three cornerstone terms of the digital era:
- Artificial Intelligence
- Intellectual Property
- Information Technology
The true value in each of these lies in the “I” they contain: Intelligence, Intellectual, and Information. These are the durable, strategic assets. In contrast, Artificial, Property, and Technology represent increasingly commoditized elements—tools that enable, but do not define, long-term value.
The Future: Digital Twins and AI-Driven Organizations
In the near future, every person will have one or more digital twins. Every organization will deploy digital employees and executives. Entire businesses will be constructed by merging knowledge bases—creating intelligent agents that function as assistants, advisors, and autonomous contributors.
Imagine this: you and I combine our unique knowledge, structure it, and connect it to a CRM or ERP system. We’ve just created a digital counterpart capable of acting, learning, and evolving based on interactions with both humans and other digital agents. This is not science fiction. It’s the practical next phase of digital transformation.
Creating a Digital Twin or Digital Employee
To build a digital twin or employee, start with two core inputs:
- Use Case Definition – What problem will it solve? What role will it play?
- Knowledge Base Design – What expertise or data will power its intelligence?
Next comes the critical choice: selecting or developing the right language model.
Two Pathways: Commercial vs. Private Language Models
- Commercial Models (e.g., ChatGPT, Gemini):
- Fast and cost-effective
- But: the intellectual property and core intelligence belong to the platform, not you
- Pros: Speed, lower upfront investment
- Cons: Lack of ownership, strategic dependency
- Private Models (open-source architecture):
- 10x more expensive, but
- Full control over data, performance, costs, and upgrades
- Pros: Stability, IP ownership, long-term ROI
- Cons: Higher upfront investment, longer time-to-market
Timeline Overview
Commercial Digital Twins / Employees
- Timeline: ~1 month
- Best for: Fast deployment, limited control
Private Digital Twins / Employees
- Timeline: ~3-6 months
- Best for: Strategic initiatives requiring full ownership and independence
⚠️ Strategic Note: There is significant opportunity in shifting from fixed pricing to value-based models—for example, tying fees to a percentage of the ROI generated by AI solutions. This could unlock scalable, win-win partnerships and transform our service model into a high-leverage business strategy.
Our Development Philosophy
Modern AI development demands more than technical skill—it requires empathy, precision, and speed. We believe that AI must be designed to support humans, not replace them. Our developers combine technical depth with emotional intelligence to ensure that what we build is useful, ethical, and empowering.
- Our teams are based in Italy, between Salerno (on the Amalfi Coast) and Tuscany
- 60% of our developers focus on implementation and integration
- 40% specialize in language model design, training, and fine-tuning
How We Work with Clients and Partners
When we engage with a client, partner or co-investor, we become an extension of their team—offering flexibility, full-spectrum support, and deep market awareness. We don’t just build AI—we help our partners decide when and how to deploy it.
We constantly monitor:
- Emerging technologies
- Cost-benefit thresholds
- Optimal timing for upgrades or holds
This ensures predictable costs, no surprises, and a long-term partnership grounded in trust, transparency, and adaptability.
