- Industries · Eighteen industries, one approach: the rules of the sector come first
- Insight · Evaluating AI systems: What benchmarks cannot tell you
- Insight · Responsible AI in Canada: The rules that apply today
- Insight · Beyond the pilot: Why most AI initiatives stall before production
- Platforms · Loonlake and Loonsong: two accelerators, licensed with source access
Featured insights
Our latest thinking on scaling AI and modernizing critical systems.
- 1 September 2026 · AI
Build, buy, or borrow? A decision framework for large language models
Read more - 1 September 2026 · Data
Is your data ready for AI? Five questions to answer before choosing a model
Read more - 1 September 2026 · Engineering
Modernizing in slices: Why incremental modernization outperforms the big bang
Read more - 1 September 2026 · AI
Evaluating AI systems: What benchmarks cannot tell you
Read more - 1 September 2026 · Governance
Responsible AI in Canada: The rules that apply today
Read more - 1 September 2026 · AI
Beyond the pilot: Why most AI initiatives stall before production
Read more
Our commitments
Committed to excellence on every engagement.
Every engagement is senior by default and Canadian by design, with clear scope, honest estimates, and evaluation before automation.
We are not affiliated with the vendors whose products we work with, and we accept no payment for recommending one over another.
Learn moreCapabilities
Every studio is a senior, AI-native team committed to excellence.
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Product Engineering
Software development, end to end
Solutions that power innovation, from the first sprint
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Consulting
Strategy, AI, and government relations
Where AI changes the business, decided and delivered
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CloudOps
Cloud migration and managed cloud
Migrated, secured, and run with every dollar visible
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Cybersecurity
Security implementation and monitoring
Controls implemented rather than recommended
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Run & Evolve
Application maintenance and support
An upgrade cadence with rollback rehearsed
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Data & AI
Data engineering and enterprise AI
Real-time, AI-driven decisions on governed data
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Enterprise Platforms
SAP, Salesforce, ServiceNow, and Oracle
Configured around the way work actually happens
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Platforms & Licensing
The Loonlake and Loonsong accelerators
Licensed with source access and no lock-in
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Quality Engineering
Test automation and release quality
Every change tested before it ships
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One lead across every studio
The plan and the delivery carry the same names
See all nine studios
How we work
Your enterprise AI partner, deployed where the work happens.
We deploy senior teams into the client’s organization rather than delivering from a distance.
FDE · Makes it work
Forward-deployed engineers
Senior engineers who work inside the client’s environment—its repositories, data, and tooling—rather than at arm’s length. They build the integrations, agents, and workflows, resolve data access, governance, and performance issues as they surface, and ship to production from the first sprint.
Learn moreEngagement lead · Makes it count
One accountable lead
Every deployed team has a single lead who defines the use cases, measures, and business case with the client’s leaders, sequences what comes next, and drives adoption across the organization, so that the work stays tied to the outcome it was funded for.
See all capabilitiesOwnership · Makes it last
From Loonwise-led to client-owned
Every deployment is designed to end in client ownership. Forward-deployed engineers pair with the client’s people from the first week, and runbooks, tests, evaluation frameworks, and documentation are handed over with the system.
Get startedHow an engagement runs
Four stages, from Loonwise-led to client-owned.
01Typically fixed price
Loonwise-led
Discover
Three weeks with the people who own the challenge, including a clear view of where AI changes the work. Clients leave with a scope, a cost, and a first sprint—or a clear recommendation not to proceed.
02
Loonwise-led
Design
The most consequential decisions, made before the build: architecture, user research, and a prototype tested with real users.
03
Loonwise-led
Build
Forward-deployed teams delivering to production from the first sprint, with AI in the workflow and evaluation and quality engineering built in from the start.
04
Client-owned or managed
Run
A managed hand-over to the client’s team, or continued operations under defined service levels. Runbooks, tests, and documentation are included either way.
Industries
Deep expertise in regulated, high-stakes industries.
We help clients make real-time, AI-driven decisions where they are most vital, within the rules of their sector, because we have built inside them before.
Banking
Stability, auditability, and speed
- Digital onboarding, lending, and servicing
- AI copilots with model-risk audit trails
- Core and payments modernization in slices
Retail
Peak readiness, forecasting, and loyalty
- Demand forecasting on reconciled inventory
- Commerce platforms that withstand peak
- Customer data and loyalty with clear consent
Insurance
Continuity, accuracy, and care
- Claims intake, triage, and document understanding
- Policy, billing, and claims modernization
- Pricing and fraud models, monitored for drift
Healthcare
Privacy, interoperability, and clinical time
- Clinical and administrative workflow tools
- FHIR APIs and records integration
- Governed data with de-identification
Public Sector
Accessibility, residency, and service
- Accessible, bilingual digital services
- Case management modernized in slices
- Canadian data residency by design
Utilities
Reliability, safety, and reach
- Field and asset tools that work offline
- Telemetry platforms with forecasting
- Secure cloud foundations for operations
Examples of our work
Impactful AI and engineering work on the systems organizations depend on.
- Representative engagement
Insurance
Modernizing a claims platform without a cut-over weekend
A twenty-year-old claims system was replaced one capability at a time, with old and new running side by side until the legacy platform had nothing left to do.
Read more - Representative engagement
Healthcare
Building a governed data platform for a provincial health network
Research and operations were drawing on the same records under different rules. One governed platform now applies de-identification by default and access that follows policy.
Read more - Representative engagement
Retail
Bringing demand forecasting in-house at a national grocer
Replenishment models built on reconciled inventory data, evaluated against the promotional calendar, and owned by the merchandising team rather than a vendor.
Read more
Quality Engineering
Release with confidence, at the pace the business requires.
For many organizations, every release to a critical system carries risk that cannot be measured until customers encounter it. We help clients build quality into the pipeline: automated tests that run on every change, performance proven before peak season, and release gates that stop defects before they reach production.
- Test automation for web, mobile, and APIs that runs on every change
- AI-assisted test generation and maintenance that keeps pace with the code
- Performance and resilience testing completed before peak season rather than during it
- Quality gates in the pipeline, with incident trends the organization can measure
Contact
From ambition to working software.
Whether you are accelerating AI adoption, modernizing a critical system, or building the capabilities to innovate faster, we bring the consultants who scope the work and the engineers who build it—the same people, from the first conversation. A senior engineer responds within one business day.
Get in touch