GenAI & AI Agents
Copilots, retrieval systems and agents wired into your real tools and data.
Sunday Labs is a boutique, founder-led AI and data consultancy. We help Canadian banks, insurers, retailers and software companies get AI into production, with senior engineers, overlapping hours and designs that respect PIPEDA and Quebec's Law 25.
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At a glance
Our team covers 8am to 1pm Eastern live from India, with async updates through your afternoon and on-call around the clock for managed services.
PIPEDA, Quebec Law 25, Provincial privacy laws, OSFI guidance, Federal AI regulation
A 30-minute call with a founder, then a fixed-price proposal within days.
How we operate
Our team covers 8am to 1pm Eastern live from India, with async updates through your afternoon and on-call around the clock for managed services.
Stand-ups, demos and decisions happen in the hours shown in gold, on a call with the people doing the work.
Outside the overlap, work moves forward with written updates, recorded demos and pull requests you can review in your own time.
For managed services, monitoring and incident response run 24x7 against agreed SLAs, whatever the time zone.
Why Canada
Delivered from Gurugram, India, with senior engineers who have built at companies like Amazon, Google, Microsoft, Uber or Meta.
Projects are led by engineers who have built at companies like Amazon, Google, Microsoft, Uber or Meta, at rates well below Canadian consultancies.
Your morning is our evening, so demos and decisions happen in real time. The rest runs asynchronously with written updates.
We design for PIPEDA, Quebec's Law 25 and provincial privacy laws from the first sprint, including data residency in Canadian cloud regions.
We can run documentation, interfaces and evaluation sets in English and French, which matters for Quebec and federal work.
What we do
Pick a single engagement or let us run the full programme, from strategy to systems in production.
Copilots, retrieval systems and agents wired into your real tools and data.
Find where AI moves your numbers and sequence a roadmap people believe in.
Lakehouses, clean pipelines and governed metrics that every model depends on.
Forecasting, pricing, churn and demand models, plus dashboards people open.
CI/CD for models, observability and cost controls that keep AI reliable.
Process redesign, change and responsible AI aligned with the rules that apply to you.
How we work
A tight, repeatable loop. Every phase ends with something you can use, not just something you can read.
Stakeholder interviews, data audit and a ranked backlog of AI use cases scored on value, feasibility and risk.
Target architecture, success metrics and an evaluation plan agreed before a single line of production code.
Small senior squads ship in weekly increments with your team embedded, so knowledge transfers as we go.
Hardening, monitoring and rollout across teams, then a clean hand-off or a lean run-and-improve retainer.
Built responsibly
The federal privacy law for private-sector organisations: consent, purpose limitation and safeguards for personal information used in AI systems.
Privacy impact assessments, rules on automated decisions and transparency obligations for organisations handling Quebec residents' data.
British Columbia and Alberta have their own private-sector laws, and health information is governed provincially.
Federally regulated banks and insurers face model risk management expectations, including Guideline E-23.
The proposed Artificial Intelligence and Data Act did not pass, and new federal rules are expected. We design to the NIST and ISO 42001 frameworks so you are ready either way.
This is general information about the regulatory landscape, not legal advice. We work alongside your legal and compliance teams.
Where we see demand
Credit, fraud and document AI for banks, credit unions, insurers and fintechs under OSFI and provincial oversight.
AI features, usage analytics and support automation for Canada's software companies.
Clinical documentation and claims automation designed for provincial health privacy rules.
Predictive maintenance, quality and inventory models for manufacturers and distributors.
Commercials
Two weeks, fixed fee. A ranked use-case backlog, a data readiness view and a scoped pilot.
Four to six weeks, fixed fee. A working system with real users and one agreed metric.
Monthly retainer. A senior squad that keeps shipping, or managed operations under SLAs.
FAQ
Tell us where you are. We will come back within one business day with a point of view, not a sales deck.
Contact
Pick a time for a discovery call in your hours. You will speak with a founder, not a sales team.
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