Mainabe Technologies operates across eight data and AI capability domains — from senior architectural advisory through bespoke build, to operating proprietary products like MICEG™ as managed services. Engagements are structured for end-to-end delivery: from concept through architecture, build, deployment, and operation.
Each domain below is a long-running competency Mainabe offers to clients in regulated industries. Engagements may span one domain or several — depending on what the problem requires.
Building the enforcement layer that ensures policy, control, and contract are demonstrably observed in practice — not just documented. The discipline behind MICEG™.
Mapping, understanding, and continuously monitoring the data estate — schema, lineage, sensitivity, movement — so an organisation can answer questions about its own data without a year-long discovery exercise.
Turning the data into decisions. Dashboards, reporting layers, KPI architectures, semantic models. The output a board, an executive team, or a regulator can act on.
Designing the foundation. Cloud-native, federated, regulator-aware architectures for institutions that need the data layer to survive an audit, a regulator's question, and the next decade of regulation.
Predictive models, classification systems, anomaly detection, recommendation engines, and LLM-based assistants — built for environments where the model has to be defensible, not just performant.
Autonomous and semi-autonomous agents that orchestrate workflows, tools, and data systems. Architected with the audit, observability, and human-in-the-loop controls that regulated organisations actually need.
The pipelines, lakehouses, warehouses, and streaming architectures everything else depends on. Cloud-native by default, multi-cloud where the engagement requires it, on-premise where the regulation does.
From bespoke web platforms to multi-tenant SaaS products. End-to-end product design, frontend engineering, backend architecture, and the operational disciplines that take a product from launch to scale.
The Governance-as-a-Service platform built on the disciplines above. Customers subscribe to MICEG and access it as a completely independent system. Read the dedicated MICEG page for the product detail.
Mainabe's advisory practice serves clients across all eight capability domains — for institutions that need senior data architecture guidance before, alongside, or independent of any build engagement.
Independent assessment of the current data estate against regulatory, operational, and AI-readiness requirements. Where you are, where the gaps are, what to build first.
A structured evaluation of where your organisation sits against modern supervisory expectations. The output is a maturity score, a target trajectory, and the specific work that closes the gap.
What would need to be true of the data estate for AI initiatives to succeed in a regulated environment — and where the current estate sits against that bar.
Ongoing senior data architecture input on a defined scope. A standing relationship for institutions that benefit from sustained outside architectural perspective.
Advisory engagements run alongside, before, or independent of product deployments — on a fixed-scope basis. Get in touch for pricing.
Discuss an advisory engagement →Financial services, oil and gas, healthcare, and government — the four Canadian sectors where the cost of unprovable governance is concrete and accelerating.