Mission-specific AI for externally-exposed enterprises.
Built on the Genie data platform.
For fifteen years we have built for the teams whose job is to see around corners: corporate affairs, strategy, risk, and commercial leaders at organisations where licence to operate depends on reading the outside world. Right now, two categories of tools exist to help them. We believe neither is sufficient.
Deep but episodic. Don't compound.
Bespoke thinking, genuine context, real strategic horsepower. But episodic, expensive, and the institutional memory leaves the building when the engagement ends. You pay for the thinking every time.
Fast but shallow. Don't compound.
Cheap seats, broad coverage, quick to deploy. But generic in both data and logic, with no stakeholder context — and commoditising further by the day as copilots ship anything remotely similar.
Tailored. Compounding.
AI applications built on a specialist stakeholder intelligence platform. Consultant-grade depth, software economics, institutional memory that gets more valuable every year you run it. One category. Many missions. Built by TSC.
We believe the corporate diplomats of the next decade will win on mission-specific AI that compounds their stakeholder advantage. By tailoring mission-specific AI applications on top of a single connective data engine, we turn the hardest variable in the enterprise into institutional knowledge.
Genie is the live model of the external environment that every system and tailored application we deploy calls into. Its shared context layer — stakeholder graph, signals engine, enrichment pipeline, long-term context — turns what would be isolated signals or agents into compounding intelligence. Built once, tuned to your enterprise, getting more valuable every year you run it.
Curated over fifteen years across 100+ countries. People, organisations, coalitions, positions, influence pathways. Queryable, contextual, continuously enriched.
Global and local media, social, academic, government, company disclosure, regulatory feeds. Continuously ingested, classified, and linked to the stakeholder graph. The baseline that makes horizon scanning real.
Entity linking, stance detection, targeted sentiment, event detection, issue classification. Modern AI is the tip of the spear, but enterprise-grade delivery requires a data enrichment pipeline that can match it.
Three deployment shapes connect our platform to your missions. Most customers run two or three together — with all writing back to Genie, so your institutional memory compounds whichever surface your team prefers.
A live model of your external environment, tuned to your context and mission. Analyst-grade capabilities: horizon scanning, network mapping, targeted sentiment at scale, stakeholder-aware media monitoring, AskGenie assistant. Every agent, monitor and signal your team needs, running continuously, in one place.
From weekly executive briefings and landscape maps, to custom frontends and operating tools built for your team. TSC deploys the people, agents and platform that match the mandate. Built on Genie, and writing back to it — so every engagement sharpens the next.
Genie injects intelligence directly into your existing copilot, agents, or workflow. Stakeholder data, enriched signals, AI outputs, and Genie agents — exposed via MCP, feeding your systems.
Four layers of stakeholder data, enrichment, applications, and tailored AI workflows. Built for enterprise from the ground up.
Raw signals become domain knowledge. Domain knowledge becomes stakeholder context. Stakeholder context powers insights at scale. Insights power native analytics and deployed applications.
A weekly executive read of the external environment — narrative tracking across media and stakeholder networks, detractor identification, hot-spot escalation. Delivered to the C-suite on a cadence the news cycle can’t outrun.
Premium data feeds fused with media and stakeholder intelligence across lithium, hydrogen, carbon capture. Analyst-produced landscape maps and competitor tracking. A structured view of markets that did not exist three years ago.




