Work

Systems we shipped. Numbers we can stand behind.

Six client systems and four of our own. Every number below says how it was measured.

  • 100+projects deliveredevery Advizr engagement to date, not only the stories on this page
  • 1,613,931lines of source across the client platformBuild artefactAug 2026the Advizr client platform
  • 2,470test files, a test-to-application ratio of 0.43Build artefactAug 2026the Advizr client platform
  • 500database migrationsBuild artefactAug 2026the Advizr client platform

Client systems

Built for the client, handed over, running in their business.

An Ontario professional-services firmDescribed, not named

Professional services · Live

An Ontario professional-services firm answers 223 questions in 30 days with its own knowledge brain

A professional-services firm asks its own material and gets cited answers. 8 of 10 accounts active, 223 answers in 30 days, first answer 1 day 6 hours in.

8 of 10System loggedAug 2026

A franchise network with 400+ locationsDescribed, not named

Franchising · Live

A franchise network with 400+ locations answers 239 questions in 30 days with a knowledge brain

A franchisor with 400+ locations asks its own operating records in plain language. 239 questions answered in the first 30 days, client login in under 5 days.

5 of 10System loggedAug 2026

A healthcare booking marketplaceDescribed, not named

Healthcare · Live

A healthcare booking marketplace publishes 9,437 pages across three provinces with a local-SEO engine

A booking marketplace taken over from a prior vendor, then a local-SEO engine on top. 9,437 pages live in three provinces, first region live 8 days in.

9,437Build artefact

An interior design firmDescribed, not named

Interior design · In deployment

An interior design firm runs five systems from one build

Five AI systems for an interior design firm: AI inbox, vendor coordination, a RAG knowledge brain, a live dashboard and a content engine.

In deploymentsystems in one build

A private capital firmDescribed, not named

Private capital · In deployment

A private capital firm puts a research-first outbound engine into deployment

A private capital firm is deploying a research-first outbound engine: sourcing, enrichment, per-lead strategy and reply detection, with baselines set first.

In deploymentlead sourcing to outreach, one pipeline

How we measure

Every number on this page carries one of five labels. The label says where the number came from, and the chip beside each number is that label.

System logged
Read from the system we built. Query logs, eval runs, pipeline counters.
Client reported
The client gave us the number. We print it as given and say so.
Build artefact
A count of what we shipped. Scripts, pages, tables, systems.
Estimated
Our estimate from a stated method. We show the method.
In deployment
Not measured yet. We print the date we expect the first number.

Clients are named only with written sign-off. Without it we describe the firm in words that do not identify it.

We have 10 stories. That is the whole portfolio, not a selection.

Built for ourselves

The same stack runs Advizr

We sell the architecture we run. These are the systems behind our own sales, operations and memory.

Also built

  • A Canadian asset manager. Deal-sourcing intelligence engine with a review queue.

    Investment management
  • A commercial landlord. Lease knowledge engine over a commercial portfolio.

    Real estate
  • A Bitcoin infrastructure company. Client portal rebuilt on the current platform, cut over with no DNS change.

    Technology
  • An e-commerce profitability platform. Profitability and ad-spend agents over the client's sales data.

    E-commerce

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