PADISO.ai: AI Agent Orchestration Platform - Launching May 2026
Canadian delivery · Montreal

Platform Development · Montreal

Montreal's platform engineering partner — the backend, data and infra your product scales on.

We design and build the platform underneath the product: APIs, data, cloud and the reliability work that decides whether you scale or stall. Built for Montreal teams who'd rather ship than re-platform in a year.

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Products we've built and run in-house SearchFIT.aiD23.ioCapitaly.ai

Why Montreal teams call us

The work you can't afford to get wrong.

Montreal is a global AI-research hub (Mila) with aerospace and gaming — strong technical talent, plus French-language and privacy obligations under Law 25 and Bill 96.

Our backend was built to get to launch and it's now the thing slowing every release down.

We're going multi-tenant / enterprise and our architecture wasn't designed for it.

Our data is spread across five systems and nobody trusts the numbers in the dashboard.

We're paying per-seat for Tableau / Power BI / Looker and the bill scales worse than our revenue.

We have outages we can't explain and no real observability to find out why.

What we do

What platform engineering actually covers.

Every engagement starts with a 30-minute call. If we can't tell you something useful in that window, we don't take it on.

Platform & backend architecture

APIs, services and data models designed for where you're going, not where you launched — the structure that lets you add features without adding fragility.

Data platform

One source of truth: pipelines, warehouse/lakehouse and a semantic layer, so the dashboard, the product and finance all agree on the numbers.

Embedded analytics & BI

Replace per-seat Tableau / Power BI / Looker with Apache Superset and ClickHouse, embedded inside your product — the reference architecture we run for our own platforms.

Cloud & DevOps

AWS, GCP or Azure done properly: IaC, CI/CD, environments, secrets and cost guardrails — so deploys are boring and the bill is predictable.

Multi-tenant SaaS

Tenant isolation, row-level security, per-tenant config and the data architecture that lets you sell to enterprise without re-platforming.

Reliability & observability

SLOs, tracing, logging and alerting that tell you what broke and why — before the customer does. Performance and caching that hold up under load.

Why Montreal

In your timezone. Onsite when it counts.

Montreal platform work pairs research-grade data needs — ML pipelines, aerospace engineering data, gaming telemetry at scale — with Quebec's Law 25 privacy regime and Bill 96 language obligations.

We build scalable, Law 25-compliant data platforms with ML-ready pipelines and time-series on ClickHouse, with the residency and consent controls Quebec requires, embedding Superset for analysis.

What "good" looks like.

We measure ourselves on what your team is doing differently — not on hours billed.

30–40%

Typical BI licensing reduction when we replace per-seat Tableau / Power BI / Looker with embedded Superset + ClickHouse.

Multi-tenant

Architecture that lets you sell to enterprise — tenant isolation and row-level security — without a rebuild.

Boring deploys

CI/CD, IaC and observability so releases are routine and outages are explainable, not mysteries.

In-repo

Everything lands in your repo and your cloud account. No black box, no lock-in to us.

How we engage

Three ways to start. All begin with a call.

Engagement

Platform Audit

2-week diagnostic of your architecture, data and reliability — what to fix first, what to retire, what'll break at the next scale step. Fixed scope, fixed fee.

from C$10K

Engagement

Platform Build

6–12 week engagement: re-platform, data platform, embedded analytics or multi-tenant migration, delivered in your repo and infrastructure.

from C$50K

Engagement

Embedded platform team

An embedded platform squad that builds alongside your engineers and hands the keys back. 2–4 days a week, quarterly outcomes.

from C$12K/mo

FAQ

Direct answers to what Montreal teams ask before they book.

Are you based in Montreal?

We're an Australian-headquartered firm and work with Montreal teams remote-first in your timezone, with onsite visits for kickoff and key milestones. We work with teams across Downtown, the Mile End and the Plateau.

How fast can you start?

A 2-week Platform Audit can start the Monday after the scoping call. Larger engagements typically begin 1–2 weeks out, depending on team availability.

Do you work in CAD and to Canadian compliance?

Yes — we contract and price in CAD. We design for PIPEDA, Quebec's Law 25 where relevant, SOC 2 and ISO 27001. We're an official Vanta partner for the evidence side.

Do you work in our existing stack or impose your own?

Your stack. We meet the codebase, cloud and tools you already run, and we only recommend a change when the cost of staying is clearly higher than the cost of moving.

Can you help with the embedded analytics / Superset piece specifically?

Yes — it's a core competency. We run Apache Superset and ClickHouse embedded inside our own venture-studio products, so the reference architecture is one we operate, not just recommend.

Do you handle Quebec's Law 25 and Bill 96?

Yes — we design for Law 25 privacy and data-residency obligations, and account for Bill 96 language requirements in the product and data layer.

Can you handle gaming or aerospace telemetry at scale?

Yes — high-volume telemetry is time-series, which we run on ClickHouse so it stays queryable affordably.

Do you actually build, or just advise?

Both — and we never advise without being willing to build. If we tell you the answer is Apache Superset, we'll stand it up. If we say hire a senior engineer, we'll write the spec and sit on the panel.

Related

Stop benchmarking. Book a call.

Thirty minutes. No deck. We'll either tell you what to do next, or who you should be talking to instead of us.

Book a 30-min call