From concept through architecture, build, and operation — for institutions where the data layer has to be right.
Mainabe's practice covers eight capability domains. Our engagements range from senior architectural advisory to bespoke build, to operating products like MICEG™ as managed services.
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.
Mainabe is structured for end-to-end delivery. The same hands that draw the architecture write the code that ships and operate the system once live. No handoff between strategy and execution, because the handoff is where most projects fail.
Understand the problem, the regulator, the data estate, and what success looks like for the business.
Design the data, application, and infrastructure architectures together. Decisions documented; trade-offs explicit.
Engineer the system. Code, pipelines, models, interfaces. Tests as part of the delivery, not after.
Production-ready release with the security, observability, and rollback discipline regulated environments require.
Run the system. Monitor, evolve, support. Ongoing engagements or managed service handoff — Mainabe doesn't disappear at go-live.
A Governance-as-a-Service platform for regulated organisations. Customers subscribe to MICEG and access it as a completely independent system — your data never moves onto our platform. Governance and evidence are produced where your data already lives.
Three independent voices from 2026 converging on a single observation: data evidence has replaced data intent as the regulator's standard of proof.
Mainabe is currently engaging design partners — regulated organisations in financial services, oil and gas, and healthcare in Western Canada — to be among the first to deploy MICEG™ in production.
If your team is facing the regulatory data-evidence problem described on this page, request a design partner conversation. We work shoulder-to-shoulder, the engagement is fixed-scope, and the outcome is a production deployment with the founder in the room.
Twenty-three years of enterprise data architecture across the world's most regulated institutions — financial services, government, healthcare, and energy. Founded Mainabe to close the gap between governance policy and operational evidence. Read the founder page →
Whether you're considering MICEG™, a bespoke engagement, or an advisory relationship — the enquiry desk is the start.