RAG development · Toronto
RAG development services in Toronto
Ship faster with senior engineers at offshore rates, overlapping your morning with a daily live stand-up.
Clarigo Infotech builds retrieval-augmented generation (RAG) systems: AI search and assistants that find the right information in your documents, databases and knowledge base, then answer with sources. RAG keeps answers accurate and current without retraining a model, and respects who is allowed to see what.
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 RAG
Chat with your documents
Ask questions across PDFs, policies, manuals and contracts and get answers with citations.
Enterprise knowledge assistants
One place for staff to find answers across Google Drive, SharePoint, Confluence and more.
Customer support answers
Grounded answers for support teams and chatbots, drawn from your help centre and product data.
Search over structured data
Combine document search with SQL and APIs so answers include live numbers.
Permission-aware retrieval
Users only get answers from content they are allowed to see.
Evaluation and tuning
Test sets that measure retrieval and answer quality, and tuning until they pass.
How we approach RAG development
Why RAG instead of fine-tuning
Fine-tuning changes how a model writes; RAG changes what it knows at the moment it answers. For most business questions RAG is cheaper, easier to update and easier to audit, because every answer points to its source.
Getting retrieval right
Quality depends on how documents are cleaned, split, embedded and searched. We use hybrid search (keyword plus vector), re-ranking and metadata filters, and test retrieval separately from the final answer.
Keeping it current and secure
Connectors keep the index in sync as documents change, and access rules from your source systems are applied at query time so nobody sees what they shouldn't.
Measured, not guessed
We build a test set of real questions with expected answers and track accuracy, citation quality and 'I don't know' rates, so you can see improvement and catch regressions.
Remote, but close to Toronto
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.
Where we help Toronto businesses most
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. We start with one costly process and automate it end to end.
Financial services
Major banks and fintechs modernise digital banking. We build AI agents, assistants and automation around these workflows.
AI research and tech
Strong AI ecosystem fuels startups shipping ML products. AI here usually means faster reporting, fewer manual steps and better customer replies.
Agriculture and food
Farm and food producers adopt supply-chain and traceability tools. We start with one costly process and automate it end to end.
How the hours line up
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
Built for how Toronto works
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.
RAG development services: 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.
What time are your meetings in Toronto time?+
Our core hours fall outside your day, so we run a flexible shift for a daily stand-up at about 09:30 Toronto time, and the rest of the work moves forward overnight.
Can you build in English and French?+
Yes. We build interfaces and content in English and French, and test them with native speakers before launch.
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.
What is RAG (retrieval-augmented generation)?+
RAG is a way of building AI assistants that first search your own documents and data for relevant information, then use a language model to answer from what was found, usually with citations.
How is RAG different from a normal chatbot?+
A normal chatbot answers from what the model learned in training. A RAG assistant answers from your current, private information, so it is more accurate for your business and can show its sources.
RAG development services around the world
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