Services
AI delivery
AI delivery is where Corpshore holds its strongest relative position: Corpshore AI is ranked fifth of fifty AI outsourcing companies worldwide by Outsource Accelerator, a stronger placing than the Canadian BPO ranking. From Canada that capability points at two things the global market underserves. The first is Canadian French, where models consistently underperform because the training data does not exist in volume. The second is credentialed domain evaluation in STEM, medicine and law, judged by people qualified to tell a correct answer from a plausible wrong one. Both are hired and measured, not claimed, and both sit under Canadian privacy law with a documented consent chain on every dataset.
How the service works
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Readiness and use case definition
We start with honest discovery, including the use cases that will not work, because a partner who only agrees is worth nothing on an AI programme. The output is a defined use case, a data plan and a governance posture, not a pilot with no path to production.
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Data operations
Annotation, labelling, transcription and preference data are produced by a distributed Canadian workforce on Canadian contracts, matched by language variety rather than treated as regional colour, with quality managed as a gate. A batch that misses the agreed inter-annotator agreement threshold does not ship.
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Model work and evaluation
Fine tuning, retrieval-grounded systems and evaluation are delivered with red teaming and bias assessment where the use case requires it, and with human oversight designed in rather than bolted on. Specialist reasoning is judged by credentialed evaluators, not general annotators.
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Production and monitoring
Systems go to production with monitoring, drift detection and an auditable trail from every automated output to its source, plus a documented human override path that needs no justification. What the system decides and what it escalates is set explicitly before launch.
How we deliver it from Canada
Delivery is from Canada, with a distributed annotation workforce nationwide and a solution and engineering team in Ontario, Quebec and Alberta. Canadian French capability is built in from the start, with speakers matched across Quebec, Acadian, Franco-Ontarian and western francophone varieties, and more than thirty-five further languages are available through the group network. All collected data carries a full consent and governance chain under Canadian privacy law.
Assessment, defined scope
A solution consultant and specialists scoping readiness and a use case, with a clear go or no-go recommendation and a data plan that shows a path to production.
Programme, distributed workforce plus core team
A managed data operations workforce with a quality layer, plus engineers and evaluators, under a programme lead with output pricing and quality gates per batch.
Practice, multi-programme
A standing practice across data operations, model work and evaluation, with governance, specialist domain reviewers and global data operations capacity behind it where volume justifies the blend.
Compliance and data handling
AI work is governed under PIPEDA and, where Quebec residents' data is in scope, Law 25, including its provisions on automated decision-making and the individual's right to be informed and to request review by a person. Data collection carries a documented consent chain, annotators are engaged under Canadian labour standards, and model risk, evaluation and human oversight are treated as governance requirements rather than optional extras. We build for the direction of AI regulation, not only its current state.
Technology
We work across the machine learning pipeline and in your environment, from data collection and annotation tooling through fine tuning, retrieval systems, intelligent document processing and automation. Specific model and platform choices are made with you against the use case rather than prescribed here, and evaluation runs on your data and your metrics so the result is portable rather than tied to us.
How performance is measured
- Inter-annotator agreement against the programme threshold
- Acceptance rate on delivered data and batches
- Model evaluation coverage and measured performance change on your set
- Straight-through rate and human review rate for automation and document processing
- Time from use case sign-off to a production-ready system
Reporting covers quality against gates, throughput and, for model work, measured performance change on your evaluation set rather than a vendor benchmark. Where a guideline produces inconsistent outcomes we say so and propose a revision rather than shipping data we know is unstable. Governance runs on an agreed cadence with the analysis prepared by us, not handed over as raw numbers.
Where this applies
Technology and SaaS
Annotation, RLHF and Canadian French data operations for model developers who need a jurisdiction with strong labour standards and enforceable contracts.
Healthcare and life sciences
Clinical document processing with human review designed in and conservative confidence thresholds, on data that stays in Canada.
Insurance
Intelligent claims triage that routes by complexity and explains every decision, where no coverage or settlement decision is made by the system.
Pricing and engagement models
AI work is priced as a fixed-scope assessment, an output-priced programme with quality gates for data operations, or an implementation followed by a managed operation. The model matches the work: assessment for readiness, output pricing for annotation volume, and implementation-plus-operation for a system that has to run and be maintained. Cost reductions of 40 to 75 percent against equivalent in-house Canadian hiring are typical on the operational lines.
Frequently asked questions
Why does Canadian French matter for AI?
Large language models handle European French noticeably better than Canadian French, because the training data reflecting Quebec and Canadian usage does not exist in sufficient volume. We build that data with speakers matched by variety, from Quebec, Acadian, Franco-Ontarian and western francophone communities, treating regional variation as signal rather than noise.
How is annotation quality controlled?
Quality is a gate, not a report. Every batch passes layered review with measured inter-annotator agreement, and a batch that fails does not ship. Where guidelines produce inconsistent outcomes we flag it and propose revisions, because one wrong guess repeated across a dataset corrupts the training signal for everything that follows.
Where is AI data processed and stored?
Data operations are performed in Canada by a Canadian workforce, and processing and storage are configured to your residency requirement, including in-province where a public sector health buyer requires it. Every collected dataset carries a documented consent and governance chain under Canadian privacy law before any annotation begins.
Do you use credentialed evaluators for specialist work?
Yes. STEM, medical and life sciences, and bilingual legal evaluation are performed by people with genuine credentials in those fields, not general annotators. Frontier models are increasingly measured on reasoning that only a qualified evaluator can judge correctly, and we hire for that depth rather than staffing it after the fact.
Will you tell us if an AI use case will not work?
Yes, and that is the point of honest discovery. We would rather lose the scope than take a use case that fails in production, because a failed AI programme costs both parties more than a declined one. The evaluation is grounded in what the data and the model can actually support today.
How do you keep humans in the loop?
Automation and AI systems are built with explicit boundaries on what they decide and what they escalate, with every decision logged, explainable and reversible, and a human override that needs no justification. That design is what gets these systems into production rather than rejected by the people who have to use them.
Build your Canadian team
Tell us the work, the languages and the coverage you need. You will have a considered response within six hours, or book a discovery call now.
Looking for a role rather than a partner? Explore careers at Corpshore Canada