Technology & AI
Software, semiconductors, cloud infrastructure and applied AI across the region — what is deployed in production rather than what is announced.
Announcements in this sector run well ahead of deployment, and the gap is where the money is lost. A capability demonstrated on a stage, a chip on a roadmap and a platform in a press release are all real; none of them tells you what runs today, at what cost, with how many people maintaining it.
We put clients in front of engineers who have operated the thing in question. That is a deliberately narrow filter: someone who has read about a system is not useful here, and someone who has run one is.
Experts confirm before every call that they will not disclose their employer's confidential information or discuss material non-public information about any listed company. In this sector that boundary is tested more often than in any other, and our interviewers are briefed to end a call that approaches it.
Typical questions
- Does this vendor's product do in production what it does in a demonstration
- How are comparable companies in the region actually deploying this technology, and at what cost
- What is the realistic supply position for a given component over the next four quarters
- How does a competitor's architecture constrain what it can charge or ship next
- Which local platforms matter in this category, and how do they differ from the ones we know
Experts we engage
- Engineering leads who have run the technology in production at scale
- Semiconductor supply chain and fabrication specialists
- Cloud and infrastructure architects from regional operators
- Product managers from platforms in the relevant category
- Machine learning practitioners who have shipped systems rather than papers