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MontréalStart
SolutionsIndex

Five categories

Services describe how we work. Solutions describe what gets built. Nearly every engagement lands in one of five categories — what your customers touch, what your team operates, what moves money, what makes the system intelligent, and the programmes that hold an estate together.

Categories
5
Disciplines behind them
12
Delivery
One senior team
Engagement
Project or programme

Where to start

Find your situation. It points at the category.

Most projects announce themselves as a symptom rather than a specification. These are the ones we hear most often, and where each one usually lands.

Several of these at once is normal. Programmes usually start in one category and extend into the next once the first system is carrying real traffic.

Describe your situation →
01

Customer Platforms

Client portals, marketplaces, booking platforms, mobile applications.

Everything your customers touch directly. These systems are judged in seconds — sign-in, first meaningful screen, the one action the user came to complete — and they carry your brand at the point where it matters most.

What it includes

  • Client portalsAuthenticated access to data, documents and status that currently moves by email.
  • MarketplacesMulti-sided platforms with supply, demand, trust mechanics and payments.
  • Booking platformsAvailability engines, holds, payments and confirmation flows that cannot double-book.
  • Mobile applicationsiOS and Android products with offline behaviour, push and wallet integration.
  • Membership systemsTiering, entitlements, renewals and the experience that justifies them.

What changes for the business

01.1

Self-service replaces inbound support volume

01.2

A measurable drop in time-to-first-value for new customers

01.3

Customer data captured as product signal instead of scattered across inboxes

Typical stack

  • Next.js
  • React Native
  • Swift
  • Kotlin
  • PostgreSQL
  • Stripe
02

Internal Systems

Dashboards, management platforms, CRM, ERP, internal tools.

The software your team lives in eight hours a day. Internal tools rarely get product-grade attention, which is exactly why they become the bottleneck. We treat them as products with real users.

What it includes

  • Operational dashboardsLive views built around decisions, not around whatever the database exposes.
  • Custom CRMPipeline and relationship management shaped to your sales motion.
  • ERP and back-officeInventory, orders, fulfilment and finance operations in one system.
  • Admin and support consolesSafe, audited tooling so support can resolve without engineering.
  • Workflow enginesApprovals, routing and escalation with a complete audit trail.

What changes for the business

02.1

Operations capacity decoupled from headcount growth

02.2

One system of record instead of reconciled spreadsheets

02.3

Support resolution without engineering escalation

Typical stack

  • React
  • TypeScript
  • Node.js
  • PostgreSQL
  • Temporal
  • Datadog
03

Commerce

E-commerce, payment systems, marketplaces, subscriptions.

Systems where a bug has a currency value. We build commerce infrastructure that is fast at the front and correct at the back — idempotent payment flows, reconciliation, and subscription logic that handles the exceptions.

What it includes

  • Headless storefrontsCustom front-ends over Shopify or bespoke commerce backends.
  • Payment infrastructureCheckout, split payments, payouts and reconciliation.
  • SubscriptionsPlans, proration, dunning, pauses and upgrade paths that behave.
  • Marketplace commerceMulti-vendor catalogues, connected accounts and payout schedules.
  • Merchandising toolsBack-office control over pricing, promotions and product data.

What changes for the business

03.1

Conversion improvement traced to measured performance work

03.2

Revenue operations that reconcile without manual intervention

03.3

New commercial models launched without re-platforming

Typical stack

  • Next.js
  • Stripe
  • Shopify
  • Algolia
  • PostgreSQL
  • Vercel
04

Intelligence

AI applications, analytics, automation, recommendation systems.

Turning data and models into product behaviour. Grounded in your own data, bounded by explicit tool permissions, measured with evaluation sets, and designed to fail gracefully when a model is unavailable or wrong.

What it includes

  • AI agentsTask-scoped assistants with defined tools, guardrails and human handoff.
  • Retrieval systemsSearch and answers grounded in your private corpus with citations.
  • Document intelligenceExtraction, classification and validation pipelines with review queues.
  • Recommendation enginesRanking and personalisation tuned against real business metrics.
  • Analytics platformsWarehouses, pipelines and interfaces that answer operating questions.

What changes for the business

04.1

Manual processing hours converted into reviewed, automated throughput

04.2

Model spend that is observable and bounded per feature

04.3

AI features that degrade safely instead of failing loudly

Typical stack

  • Python
  • OpenAI
  • Anthropic
  • Google AI
  • pgvector
  • Snowflake
05

Enterprise

Large-scale custom software and integrations.

Programmes where the technology is only part of the difficulty. Multiple stakeholders, existing systems that cannot be turned off, security review, and a migration that has to happen without an outage.

What it includes

  • Platform modernisationIncremental replacement of legacy systems with a working path at every step.
  • Systems integrationConnecting ERP, CRM, identity and data platforms into one coherent flow.
  • Identity and governanceSSO, SCIM, granular permissions and complete audit logging.
  • Data platformsWarehouse architecture, pipelines and governed reporting.
  • Migration programmesDual-run strategies, backfills and cutover plans with rollback.

What changes for the business

05.1

Legacy dependencies retired without a big-bang cutover

05.2

A single identity and permission model across the estate

05.3

Architecture documentation that survives the delivery team

Typical stack

  • TypeScript
  • Python
  • AWS
  • Terraform
  • Snowflake
  • PostgreSQL

— Next

Tell us what needs to exist.

Send the situation, the constraint and the date it has to be live. You get an approach, an architecture and a realistic range — not a brochure.