Domain-specific AI, trained on real production data. Built for your industry, not inspired by it. Deployable in weeks, not months.
Generic AI makes you bring the domain knowledge. Industry AI already has it, trained on real production data from live deployments across Africa, the Middle East, Eastern Europe and the Nordics. We build on one shared platform and back a deliberately short list of priorities, rather than spreading thin.
A general-purpose model does not know that municipal revenue collection under the Municipal Finance Management Act behaves differently from corporate receivables. It does not know that a debtor classification triggering disconnection carries specific procedural requirements in law.
Industry AI knows these things because it was trained on years of real data from live deployments in those exact environments. That is the difference between a prototype and a production system.
Read more ↗The platform spans six domains, but the next 12–18 months are aimed at a short list of priority builds (marked ★). Everything else runs on the same platform and shared AI brain, maintained and ready to scale the moment a customer pulls it forward. Depth over breadth, deliberately.
Priority builds carry a star. Statuses run from in-market to active build. All deployable within sovereign boundaries where required.
Sentinel / Varna Watch (maritime defence early-warning) runs as a separate joint venture on the same Nexus engine and is not marketed here. The Nexus platform also carries additional maintained products beyond this priority view.
Every product sits on One Brain, the central AI orchestration layer. No application talks to a model directly. One Brain handles routing, tenant isolation, audit and cost control across frontier models, self-hosted open models and fine-tuned models.
Version 2 adds agentic capability with sovereign AI built in, running on AIXIA's AiQu platform and NVIDIA DGX. Human-in-the-loop and a full audit trail are standard, which is what lets these products operate in government, financial services and defence.
Revenue leakage, collections and compliance under real regulatory constraints.
Data-protection deadlines, audit evidence and AI governance that has to be provable.
AI-first internally: CRM, enablement and delivery running on the same platform we sell.
Because everything runs on one platform and one AI brain, a customer who starts in one domain can extend into the next without a new vendor, a new integration or a new data model. Build once, deploy across.
The focus is deliberate: a short list of priority builds gets the depth, while the rest of the platform stays maintained and ready. That is how a small team ships production AI instead of a shelf of prototypes.
Start here ↗