Platforms we have built

11 production AI systems shipped across healthcare, wellness, wealth management, manufacturing, fitness, and consumer apps. Every build was architected and shipped by Colter Mahlum personally, from initial data audit through production deployment and MLOps handoff.

Last updated: September 8, 2026

How to use this portfolio

These case studies are project snapshots, not a menu of interchangeable packages. Read each one as a practical account of a specific business context: the operating problem, the systems involved, and the work needed to make the result useful after launch. The industries and use cases vary, but the decision process is consistent: define the outcome, understand the available data, map the integrations, and agree on who will use the result.

When a project resembles your situation, open the full case study for the implementation detail. When it does not, use it to frame a more useful discovery question about data access, workflow ownership, change management, or the evidence needed before a wider rollout. That distinction matters more than matching a project to a generic technology label.

What each case study helps you evaluate

• Business context. The operational or customer-facing problem the platform was built to address.
• Delivery scope. The data, integrations, model work, and workflow design involved in the build.
• Decision relevance. The outcome and implementation details a team can use when evaluating a similar initiative.

What production means

These are not prototypes or demos. Each platform listed below runs on live data, serves real users, and was built to the engineering standards the client's industry requires. Healthcare and wellness platforms are architected to HIPAA-aligned data handling requirements. Financial services platforms include compliance-grade audit trails and model documentation. Manufacturing and operations platforms are built on production sensor and transactional data, not benchmark datasets.

How we select engagements

Mahlum Innovations takes a small number of custom platform engagements each year so every build receives direct founder attention. Engagements are selected based on whether the business problem is clearly defined, the data exists to support the solution, and the client has executive buy-in to act on the output. We say that at the discovery call rather than starting a project that is likely to stall. The free AI readiness assessment benchmarks your data maturity and strategic alignment before we talk.

Engineering standards and delivery model

Every platform in this portfolio was built to the engineering standards its industry requires. Healthcare and wellness platforms are architected to HIPAA-aligned data handling requirements with end-to-end encryption, role-based access control, and audit trails. Financial services and wealth management platforms include compliance-grade model documentation and audit-ready data lineage. Manufacturing and operations platforms are built on live sensor and transactional data — not benchmark datasets — and are validated in production conditions before handoff.

Mahlum Innovations is a one-engineer firm by design. Every platform listed above was architected, built, and delivered by Colter Mahlum personally — no context lost in handoffs, no junior engineers making scope decisions, and a founder who understands the problem domain as deeply as the technical stack. A limited number of custom engagements run in parallel, which is intentional.

AxiomAI — AI employees for recurring workflows

Not every business problem requires a custom build. For recurring workflows, the AxiomAI catalog offers purpose-built AI employees across every business function: Aria SDR for outbound sales, Care CX for patient and customer communication, Ledger for financial reporting, AxiomCMO for AI visibility and content publishing, HIPAA Guard for compliance monitoring, and Sage Support for internal helpdesk automation. Subscription-based, deployable without a custom build.

Start a conversation

If you are evaluating a custom AI platform build, the free AI readiness assessment benchmarks your data maturity, technical readiness, and strategic alignment before we talk. The first conversation is free and takes 45 minutes. Book a strategy call →