
Financial services
One governed view of customers, accounts, wallets and agents across core banking and mobile money. Credit, fraud, KYC and regulatory reporting use the same facts.
- Customer
- Account
- Wallet
Industries
We go vertical. Each engagement starts from the specifics of the industry, its data, its rules and its people.
01Vertical integration

Generic tools stall in the real world. A model that works on a clean demo dataset meets a core banking system from the 1990s, a wallet platform with different customer IDs, and a branch that still files paper. The hard part is not the model. It is the meaning of the data, the rules around it and the people who must trust the result.
So we combine the ontology of a sector with its data, workflows and regulation. A bank, a ministry of health and a port authority each need different objects, different links and different approvals. Each also faces a different mix of laws and regulators. We write these down as a sector pack, test them with people who do the work, and build solutions that fit end to end.
This is how we think about vertical integration. It does not mean we own the whole chain. It means we know the chain well enough to place the platform in it, work with the right local partners, and avoid promises we cannot keep.
02Where we work


One governed view of customers, accounts, wallets and agents across core banking and mobile money. Credit, fraud, KYC and regulatory reporting use the same facts.

Patient, facility, medicine and referral data connected across clinics and ministries. Teams see stock, capacity and follow-up gaps before patients are turned away.

Farmers, plots, cooperatives and lots linked from field to export. Lenders, processors and buyers share one record for financing and traceability.

Assets, work orders, permits and incidents modeled as one graph. Maintenance, safety and ESG reporting draw on the same evidence.

Sovereign data foundations for identity, revenue, procurement and services. Agencies share facts under strict access control and audit.

Network, subscriber, wallet and partner data joined for care, fraud and planning. A private runtime lets operators run AI inference near their customers.

One shipment record across ports, borders, fleets and warehouses. Carriers, forwarders and agencies get scoped views of the same facts.

Learners, courses, assessments and skills linked from school to work. Teachers, providers and employers use evidence instead of guesses.

Merchants, stock, sales and payments in a shared model. Restocking, merchant credit and demand sensing build on real sales records.
03Packs, regulation and partners

Ontology packs. For each sector we keep a starting set of objects, links and actions in Zeus, with typical data sources and workflows. A pack is a head start, not a finished product. We adapt it to your terms and your systems.
Regulation. Each pack lists the data protection laws and sector rules we expect to matter, such as Nigeria NDPA 2023, Kenya Data Protection Act 2019, South Africa POPIA, Ghana Data Protection Act 2012, Egypt PDPL 2020 and Rwanda Law 2021. These are examples. Always confirm with counsel what applies to you.
Local partners. We expect to work with local integrators, cloud and data center providers, and domain experts in each market. They know the regulators, the languages and the systems. Partnerships are discussed per project, and none are announced here.
04

Experience you can lean on
Immersed in technology and across many different verticals, so the people on your project have done this before.

Industries
Tell us the problem. An engineer, not a salesperson, answers.
We go vertical. Each engagement starts from the specifics of the industry, its data, its rules and its people.