We build decision-grade intelligence with the leaders who own it.
TSC works with large, externally exposed organisations and the people inside them who answer for the outside world. We bring the data platform and the people who know how to run it. Our clients bring their context and great expectations.
Together we build an intelligence asset the organisation can own, and that grows with it.
- years
- 15
- labs
- 5
- continents
- 3
- stakeholders mapped
- >1m
- signals a week
- >2m
A note from the CEO
It’s been a journey.
I designed the issue model behind TSC between red-eye flights, while leading corporate affairs for a large technology company in an earlier age of the internet.
The problem then is the problem now. An issue starts as a quiet signal. It becomes a conversation, then a campaign, then a hearing, then a law. At every step the cost to the company rises and its room to shape the outcome shrinks. The teams responsible for that outside world were working with press clippings, spreadsheets and memory, and they were nearly always late.
So I drew the issue lifecycle and started working to the left of it. Find the signal while it is still a signal. Know who is moving it and who they listen to. Act before the cost arrives. It worked, and when I left I founded a company in Singapore to build the system that would make it repeatable.
Genie is the fifth generation of that system. It holds more data than any team could read and connects it to the people who matter to a mandate. But the model has not changed. See the field early. Know the people. Act while it still counts.
If that is your problem, we would like to build the answer with you.
Terence Lyons
Founder and Chief Executive
2011
The model becomes a company
Founded in Singapore. The issue model built for one company, rebuilt as software for many.
2014
Gen 2
Advisers with software in hand. The mapping and influence toolkit goes into deep global mandates alongside our own counsel.
2018
Gen 3
TSC doubles down on machine learning with Atium, including an expanded stakeholder graph and the first fully in-house signal monitoring stack.
2021
Gen 4
Scale. One product serving many teams at once, with the model inside it.
2023
Gen 5
ChatGPT changes what the data is for. We go back to the drawing board: structure the field with our stack, expose it to AI synthesis. Genie.
2026
Back to our roots
Data excellence, applied the tailored way the company began. Small teams deployed with the client, delivering outcomes on the asset.
Why we exist
Nobody was building for the people who own the outcome.
Corporate diplomacy is changing faster than the tools built for it. The people who hold a company’s licence to operate now face more actors, moving faster, across more channels, and they are expected to show results rather than coverage.
The market has answered with volume. Monitoring sold by the seat, dashboards nobody reads, generic AI summarising the same feeds for every client. Depth sits with advisers whose work leaves with them when the engagement ends.
We took a different view. A corporate diplomat’s intelligence should compound, and it should belong to the organisation.
An asset you own
Built around your mandate, your stakeholders and your history, and kept under your control.
Built with the team that uses it
Our people work inside yours. The asset is shaped by the questions you actually have to answer.
Used to deliver outcomes
The briefing that landed. The risk caught early. The relationship that held.
How we work
We deploy teams around the problem.
We work in small teams around a client’s mission. Engineers deployed into the problem, data scientists who shape the data to the question, and analysts who govern the read. Genie does the work that used to need headcount, so the people on an engagement spend their time on judgement.
We do not ask a client to tear anything out. Where advisers and frameworks already exist, we work alongside them and do the parts they cannot.
The goal: a data asset, under your control, compounding as you work.
Where we operate
Like our clients, we keep a global focus, with teams across three continents.
Our labs
Singapore
Singapore
Rio de Janeiro
Brazil
London
United Kingdom
Ho Chi Minh City
Vietnam
Skopje
North Macedonia








