Computer vision · Toronto
Computer vision development in Toronto
Ship faster with senior engineers at offshore rates, overlapping your morning with a daily live stand-up.
Clarigo Infotech builds computer vision systems that turn cameras and images into decisions: spotting defects on a production line, reading documents, monitoring safety, counting and tracking objects, and analysing video. We deploy in the cloud or at the edge, close to your cameras, and our Clarigo Factory OS product brings vision inspection to the factory floor.
Canadian companies most often hire us for clinic and healthcare automation, AI agents and custom web and mobile apps.
10+
Years of delivery
600+
Projects delivered
20+
Countries served
25-30
Days to a live MVP
Get a free consultation
Tell us what you need. A senior engineer replies within one working day.
Speed, ROI and a team that scales with you
North American teams care about getting to market fast and proving return on investment. We focus on a production launch in weeks and measurable results after it.
Production in 25 to 30 days
A real, launchable first version in about a month, so you can sell, raise or learn sooner.
Senior talent, lower burn
Senior engineers at typical rates of $25 to $49 per hour, without recruiting costs or long notice periods.
Built to scale
Cloud architecture, automated tests and CI/CD from day one, ready for your next growth stage.
Security and compliance ready
HIPAA-trained team, HL7/FHIR experience, and security practices that fit SOC 2-style questionnaires.
What we build with computer vision
Quality and defect inspection
Check parts and products on the line in real time and flag defects before they ship.
OCR and document AI
Read invoices, IDs, forms and labels and turn them into structured data.
Safety monitoring
Detect missing PPE, restricted-zone entry and unsafe conditions, and alert supervisors.
Object detection and counting
Count, classify and track items, vehicles or people in images and video.
Video analytics
Turn camera feeds into events, dashboards and alerts.
Edge deployment
Run models on-site so they keep working offline and images never leave your premises.
How we approach Computer vision
Start with the decision, not the model
We begin by agreeing what the system must decide (pass or fail, which category, how many) and how accurate it needs to be, then collect and label the right images to train and test against.
Data and labelling
Good vision AI depends on representative images: different lighting, angles and edge cases. We set up labelling, augment where needed and keep a held-out test set to measure real accuracy.
Cloud or edge
Some use cases suit cloud processing; production lines and sensitive sites usually need edge devices next to the cameras. We design for the latency, connectivity and privacy your site requires.
People stay in control
Uncertain predictions go to a person to confirm, and every decision is logged with the image behind it, so the system improves over time and can be audited.
How we work with Toronto clients
Time-zone overlap
We overlap with Eastern Time mornings and run flexible shifts for a live daily stand-up, with progress ready each morning.
PIPEDA and provincial privacy laws
We build to PIPEDA principles (consent, limited collection, safeguards and access), keep data in Canadian cloud regions when required, and sign NDAs and data agreements before work starts.
Billing
Invoices in Canadian dollars (CAD) or US dollars. Typical senior rates are $25 to $49 (USD) per hour, or a fixed price for a defined scope.
Built for Toronto's key sectors
Toronto-area clinics, startups and growing companies use us to build healthcare software, AI assistants and SaaS products, designed with PIPEDA in mind and with data kept in Canadian cloud regions when required.
Natural resources and energy
Mining and oil firms digitise field operations and reporting. AI here usually means faster reporting, fewer manual steps and better customer replies.
Financial services
Major banks and fintechs modernise digital banking. We start with one costly process and automate it end to end.
AI research and tech
Strong AI ecosystem fuels startups shipping ML products. We build AI agents, assistants and automation around these workflows.
Agriculture and food
Farm and food producers adopt supply-chain and traceability tools. AI here usually means faster reporting, fewer manual steps and better customer replies.
Meetings in your time zone
Our team's hours, in Toronto time
23:30–09:00
Monday to Friday
Overlap with your working day
Flexible shift
Evening shift for a live stand-up, progress overnight
Daily stand-up
09:30
Toronto time, plus written updates every evening
What we set up for Toronto
Messaging channels
Languages
Local payments
Data hosting
AWS Canada (Central) and Canada West (Calgary), Google Cloud Montreal and Toronto, in your own cloud account, so data stays where your rules require.
How it works
Week 1: discovery and design
We agree the use case, success measures and data, and show you a clickable design.
Weeks 2-3: build and integrate
We build, connect it to your systems and data, and demo working software every week.
Week 4: test and launch
We test with real cases, add monitoring and guardrails, then go live.
After launch: improve and scale
The same engineers keep tuning quality, cost and features as usage grows.
See what we've built
Try it yourself, free
Free browser tools from our team. No sign-up needed.
Computer vision development: questions from Toronto
Do you work with companies in Toronto?+
Yes. Clarigo Infotech works with companies across Toronto, including Toronto, Mississauga, Waterloo, as part of clients in 20+ countries. Canadian companies most often hire us for clinic and healthcare automation, AI agents and custom web and mobile apps. We work remotely from India with one in-house team.
What time-zone overlap do we get from Toronto?+
We overlap with Eastern Time mornings and run flexible shifts for a live daily stand-up, with progress ready each morning.
How do you handle PIPEDA and provincial privacy laws?+
We build to PIPEDA principles (consent, limited collection, safeguards and access), keep data in Canadian cloud regions when required, and sign NDAs and data agreements before work starts.
Which currency do you bill in, and what does it cost?+
We bill in Canadian dollars (CAD) or US dollars. Senior engineers typically cost $25 to $49 (USD) per hour, and fixed-scope projects such as an MVP in 25 to 30 days are quoted after a free consultation.
Where will our data be hosted?+
Usually in AWS Canada (Central) and Canada West (Calgary), Google Cloud Montreal and Toronto, or wherever your data rules require. Everything runs in your own cloud account, so you stay in control.
Do you support SMS?+
Yes. Customers in Toronto often prefer SMS and WhatsApp and LinkedIn, so we connect chatbots, notifications and support flows to them.
Do you work with natural resources and energy companies?+
Yes. Natural resources and energy is one of Toronto's key sectors, and we build AI agents, assistants and automation around these workflows.
Can it run without the internet?+
Yes. We deploy models on edge devices at your site, so they keep working offline and images stay on your premises.
Does it work with our existing cameras?+
Often, yes. We check resolution, angle and lighting first and recommend changes only where accuracy needs them.
Computer vision development around the world
Worldwide page →North America
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