Choose a focused engagement around AI adoption, Java modernization, governed cloud migration, data platforms, or delivery leadership. Every model is staffed with senior practitioners and measured against a concrete production outcome.
Architects and engineers who join your ceremonies, work in your repo, and help your team move through modernization decisions with production experience in the room.
We take responsibility for a defined platform, migration, or data outcome with clear milestones, weekly proof, and a single point of technical accountability.
Architecture reviews, migration planning, RFP support, and second opinions when a high-stakes project needs clearer sequencing or a path out of delivery risk.
Three ways we help regulated teams turn AI from a promising pilot into a governed advantage — a clear adoption strategy, day-to-day productivity that actually sticks, and AI-accelerated modernization of the systems you cannot afford to get wrong.
Most AI programs stall in the gap between an exciting pilot and a system you can run, govern, and defend. We give you a costed, prioritized roadmap and the operating model to execute it — grounded in your regulatory reality, not a vendor's slide deck.
The lowest-risk way to start. In two to three weeks we rank your use cases by value, feasibility, and risk, review your data and governance posture against OSFI E-23 and your privacy obligations, and deliver a costed roadmap with an honest go / no-go view — yours to keep, whoever builds it.
We put copilots, knowledge assistants, and agents into the daily workflow — grounded in your own data, wrapped in guardrails, and measured so the gains are real. The goal is durable productivity, not a novelty everyone abandons after a month.
AI is genuinely changing modernization economics: code that took years to understand and replace can now be mapped, documented, tested, and migrated in months. We apply that leverage where it is safe — behind test-driven guardrails and senior review — so you get the speed without the risk a regulated platform cannot absorb.
AI maps dependencies and extracts the business logic buried in legacy code.
We generate a regression-test net that pins down current behavior — your safety net.
Assisted translation and refactoring produce modern services that must pass those tests.
Senior engineers review and cut over incrementally, with full audit trails.
Every AI engagement is built to be governed. Model validation, monitoring, data lineage, and human oversight aligned to OSFI E-23, PIPEDA, and Quebec Law 25 — with sovereign and Canadian data-residency options. We design for the regulation that's here and the regulation that's coming, and we never ship autonomy you can't explain to an auditor.
Production Java/JEE systems, microservice decomposition, event-driven architectures, API platforms, and the migration work to bring a 10-year-old monolith into the present.
What you get → a faster, safer release cadence and a codebase your team can confidently own.
Reference architectures across AWS, Azure, and Google Cloud — designed to survive an audit and a 3 a.m. incident. Infrastructure as code, observability and security by default.
What you get → a governed cloud platform that survives an audit and a 3 a.m. incident — repeatable, observable, and cost-aware.
Modern data platforms designed for the regulatory and reporting needs of banking, insurance, and public-sector clients. Lineage, governance, and quality treated as first-class concerns.
What you get → trusted, lineage-aware data your teams and your auditors can rely on for reporting, analytics, and AI.
The discipline that keeps everything else on track — clear scope, weekly demos, transparent burn-down, and stakeholder reporting that doesn't waste anyone's time.
What you get → clear scope, weekly proof, and a project that lands on time — without the delivery surprises.
Stakeholder interviews, system inventory, constraint mapping. We come back with a clear scope and a candid view of risks before any code is written.
Target-state architecture, component diagrams, decision records. A document your engineers and your auditors can both read.
Iterative delivery in two-week increments. Weekly demos, shared backlog, working software at the end of every sprint.
Knowledge transfer, runbooks, on-call handover. We leave you with a system your team can run without us — and we'll be there if you need us.
We work under your NDA as standard — it's why most of the case studies on this site are anonymized. Client code, data, and documents stay inside your environment and your cloud accounts; we work in your repos and under your access controls, not ours.
Yes. We design for Canadian data residency and can deploy AI on sovereign or in-VPC infrastructure — AWS and Azure Canadian regions, or self-hosted open-weight models for air-gapped and highly sensitive workloads — so regulated data never leaves your control. Data residency and sovereignty are scoped explicitly at the start of every AI engagement.
Every model and agent ships with validation, monitoring, data lineage, and human-in-the-loop checkpoints aligned to OSFI E-23 model-risk expectations and your privacy obligations (PIPEDA, Quebec Law 25). We design for the regulation that's here today and the regulation that's coming — and we won't ship autonomy you can't explain to an auditor.
We favour incremental, test-driven migration over rewrites. AI maps and documents the legacy system; we generate a regression-test net that pins down current behaviour; then we migrate service by service behind that safety net, cutting over only what passes. There are no unverifiable leaps, and you can stop or re-sequence at any point.
You get senior practitioners from day one, not a staffing pyramid. For larger programs we assemble a vetted senior network while staying accountable as your single point of technical ownership. Everything is documented, observable, and automated so the work doesn't depend on any one person — including us.
Knowledge transfer, runbooks, observability, and automation are treated as delivery outputs, not afterthoughts. We leave you with a system your own team can run with confidence — and we stay available if you want ongoing support.
Tell us the system, the timeline, and the outcome. We'll come back with a candid view in a few business days.