Agentic AI Development Companies in Canada: A Practical Overview
As a more autonomous alternative to run-of-the-mill AI and genAI tools, agentic AI is to become the next frontier in value-adding enterprise automation. But building and deploying an agentic AI solution is far from easy: it requires particular expertise to select the right ML model, integrate it with other systems, and ensure data quality.
In the market for a custom agentic AI solution for your enterprise? Or launching an agentic AI startup? In either case, you’ll probably need an agentic AI partner. Keep reading to discover the top 10 candidates in Canada.
Why Look for Agentic AI Development Companies in Canada?
Canada is home to an estimated 1.44 million workers, and its tech workforce has grown by 290.5 thousand specialists since 2019. Data scientists, in turn, represent the fastest-growing tech occupation since 2019. The main tech hubs — Toronto, Montreal, Vancouver — bring together diverse AI expertise across industries, from fintech to healthcare.
The large and diverse talent pool, however, isn’t the only reason to search for agentic AI developers in Canada. The country is also home to universities and labs producing cutting-edge AI research. Take Mila, for example: this Montreal AI research institute brings together 1,400+ machine learning researchers. (Mila is one of three Canadian research institutes.)
The government support has been integral to making Canada a hub for AI innovation. The country was the first to adopt a national AI strategy in 2017. Under it, the government invests in AI research (including research on AI safety), AI startups, and AI deployment within SMEs.
Top 10 Agentic AI Development Companies in Canada
01.Integrio Systems
Founded: 2000
Headquartered in Vancouver, Integrio Systems has been a trailblazer in building innovative AI solutions. The company has been working on AI solutions for more than 10 years now and established a formal AI/ML department back in 2017. Integrio’s team includes data scientists with PhDs in math and computer science, as well as developers with 15+ and even 30+ years of experience.
Integrio has built its expertise across diverse AI/ML applications, including prediction engines, personalization and optimization systems, data analysis systems, complex AI integrations, and more. For example, the company worked on hotel partner behavior analytics for Expedia and disease risk prediction for Synnovis.
Beyond its ability to innovate and its deep technical AI expertise, Integrio stands out for its robust customer protections. The company has an established transparency and communication framework with safeguards that prevent common service vendor issues (e.g., unclear source code ownership, inaccurate hour tracking, scope creep).
Key strengths:
Vast experience working on innovative AI/ML applications
AI leadership with a combined 100 years of experience
Focus on long-term partnerships (most customers stay with Integrio for 7+ years)
Experience serving startups, SMEs, and Fortune 500 companies alike
Focus on identifying value-adding AI applications and validating use cases first
Ideal for:
Cutting-edge agentic AI solutions
Startups looking for a long-term service vendor
Enterprises that need a partner to ensure agentic AI is a valid solution for business problems first
02.NetSet Software
Founded: 2011
Since its foundation in 2011, NetSet has grown from an India-based developer into an international company with offices in the U.S., UK, and Canada. Its Canadian delivery center, based in Toronto, is relatively young; it opened in 2024.
Today, NetSet specializes primarily in blockchain and AI solutions. Its expertise spans genAI implementation (including ChatGPT, Midjourney, Stable Diffusion), AI integration with existing systems, and AI agent-powered automation.
Key strengths:
Multiple certifications (ISO 9001:2015, ISO/IEC 27001:2013, ISO/IEC/IEEE 12207:2017, CMMI Maturity Level 3)
Multiple engagement models (full project management, dedicated team, time & material)
Strong expertise in available genAI tools (ChatGPT, Midjourney, Stable Diffusion)
White-label conversational AI development available as a service
Ideal for:
White-label projects
Products combining AI and blockchain technologies
03.AltaML
Founded: 2018
Based in Edmonton, Alberta, AltaML is a fast-growing startup that helps businesses evaluate their AI needs and quickly pilot solutions. The company also has offices in Calgary, Toronto, and Kitchener.
AltaML focuses on pinpointing the right agentic AI use cases and building MVPs. One of its flagship programs, Agentic AI Lab, is meant to help organizations do exactly that. What’s more, the company has its own agentic development platform, AltaForge, to speed up MVP development.
Key strengths:
Agentic AI Lab, a 14-week program for MVP development
Fast MVP development with AltaForge, a proprietary agentic development platform
Experience in the Canadian public sector, healthcare, and energy and industrial operations
Established framework for post-MVP development knowledge transfer
Ideal for:
Enterprise agentic AI pilots with tight timeframes
Organizations struggling to identify the right use cases for agentic AI
04.Coveo
Founded: 2006
Initially founded as an enterprise search solution vendor, Coveo has grown into an AI innovator with 750+ AI, search, and personalization experts on its team. The company’s flagship product, The Coveo Platform, enables organizations to quickly implement AI-powered enterprise search, generative answering, predictive recommendations, and more.
When it comes to AI agents, the platform streamlines their creation by centralizing data access and retrieval in a single searchable index. Thanks to this index, RAG-enabled AI agents remain trustworthy and reliable.
Key strengths:
Out-of-the-box integrations with 100+ content sources (Slack, SharePoint, Google Cloud, SAP, etc.)
Unified enterprise data access and retrieval for agentic AI
Composable and enterprise-ready solution for developing AI agents
RAG-as-a-service available
Ideal for:
Agentic AI solutions using retrieval-augmented generation (RAG)
AI agents for enterprise knowledge management and retrieval
05.Markovate
Founded: 2015
Markovate has always been an AI-focused company. For more than a decade, it’s been building AI solutions and consulting on AI initiatives. Today, the company develops and implements AI chatbots, genAI tools, ML systems, and AI agents.
When it comes to agentic AI, Markovate’s 50+ developers specialize in systems designed for workflow automation, decision intelligence, and scalable adoption. What’s more, the company has its own agentic AI assistant, ready for customization and clientless server deployment.
Key strengths:
ISO 9001:2015 and ISO/IEC 27001:2022 certifications
Rich expertise across AI models, from GPT-5 to Phi-2 and DeepSeek-R1
Proprietary headless agentic AI assistant with 100+ enterprise applications
Agentic AI consulting services available
Ideal for:
Common use cases covered by a pre-built solution
Enterprise workflow automation requiring advanced multi-agent orchestration
06.SolGuruz
Founded: 2019
Founded by three developers with 15 years of tech experience behind their backs, SolGuruz brings together 75+ experts in custom software, web, mobile development, and more.
SolGuruz builds both single-task-focused and multi-agent AI systems. Those include agents with conversational AI, process automation, and research and data analysis capabilities. The company can also integrate AI agents with existing systems and provide ongoing support and maintenance if needed.
Key strengths:
Strong expertise in customer experience and process automation AI agents
One-week trial available when hiring the SolGuruz team
NDA protections for projects by default
Full-stack expertise, including web and mobile app development and prompt engineering
Ideal for:
Task-focused, single-purpose AI agents
Projects requiring full-stack expertise (e.g., web/mobile development)
07.Quantum IT Innovation
Founded: 2010
Over the past decade, Quantum IT Innovation has completed 850+ projects for 400+ clients worldwide. The company offers a diverse range of development services, from web and mobile app development to digital marketing and chatbot development.
When it comes to AI services, Quantum IT Innovation builds, integrates, and consults on genAI, chatbot, ML, AI copilot, and AI agent solutions. You can also hire Quantum IT Innovation to maintain and continuously improve your agentic AI solution.
Key strengths:
Experience with ChatGPT, GitHub Copilot, Microsoft Designer, Jasper, and AdCreative.ai
Streamlined development thanks to tools like AutoGen Studio, Vertex AI, and crewAI
Digital marketing services available
Strong conversational AI expertise
Ideal for:
Ongoing maintenance and support for agentic AI projects
Companies looking for both a development and digital marketing partner under one roof
08.Ellocent Labs
Founded: 2019
Operating in India and Canada, Ellocent Labs is the successor of another development company, Smartwiz. You may know it as the company behind ElloMed, an AI-powered unified data and automation platform for healthcare organizations.
Ellocent Labs focuses primarily on AI/ML, no-code, and cloud services. The company’s AI tech stack includes existing AI/ML platforms like Hugging Face and Google Vertex AI. The company also works with a variety of AI/ML development tools for speech and audio processing, video and image processing, and language intelligence.
Key strengths:
Strong experience with AI/ML platforms (OpenAI, Hugging Face, Google Vertex AI, Amazon SageMaker, Azure AI)
Solid cloud services expertise (storage, NLP, video/image processing, etc.)
Experience with business process automation, RPA, and workflow automation
Digital marketing services available
Ideal for:
Agentic AI projects with a tight budget
AI agents for enterprise process automation
09.Ada CX
Founded: 2016
Before ChatGPT was ever a thing, the Toronto-based team behind Ada was already working on its customer service AI agent. An AI-native solution from day one, Ada has grown into a SaaS product that increases CSAT scores by 162%.
Ada’s ACX platform allows businesses to create, manage, and improve customer service AI agents. With it, creating an AI agent is easy: the platform combines a conversation hub, a reasoning engine, a performance center, and a developer toolkit.
Key strengths:
Low-code subscription-based platform for easily creating customer service AI agents
HIPAA, SOC2, GDPR, and AIUC-1 compliance
Integrations with Salesforce, Twilio, Zendesk, and more
Zero data retention policies with LLM providers
Ideal for:
Customer service AI agents
Teams ready to build custom integrations or embed Ada in apps
10.Canvass AI
Founded: 2016
As a Toronto-based Series A startup, Canvass AI strives to democratize enterprise-wide knowledge with AI agents. Its platform is essentially an AI knowledge engine that combines multiple AI agents under the hood. Those agents interpret images, evaluate responses, turn text into speech, and more.
Canvass AI also offers industry-specific AI agents for manufacturing, healthcare, financial services, public sector, and oil and gas. For example, AI agents in financial services can handle audit preparation and client portfolio references.
Key strengths:
Industry-specific AI agents for enterprise search and knowledge management
Deployment possible on-premises, in private data centers, and in private cloud
Seamless integration with data sources via PostgreSQL, MQTT, REST API, etc.
Architectural approach designed to optimize deployment costs and CPU requirements
Ideal for:
Businesses looking for AI-powered knowledge management
Organizations subject to regulatory constraints on third-party solution deployment
Final Thoughts
Building an AI agent from scratch gives you complete control over its capabilities, security, and compliance, albeit at the cost of a substantial upfront investment. Vendor agentic AI solutions, in turn, offer ready-made, purpose-built AI agents at no upfront cost. That said, you’ll be dependent on the vendor for customization options, feature updates, and security measures.
If you’re in the market for agentic AI development services, consider this when choosing your partner:
Agentic AI expertise (avoid companies rebranding traditional AI systems as AI agents!)
Big data and data science expertise
Ability to integrate AI systems with other systems
Communication skills and pricing transparency
Readiness to dive deep into your business processes
Experience with AI agents in your industry vertical
Reviews on Clutch and Goodfirms, word-of-mouth referrals
Once you have a shortlist, the best way to gauge whether a development company is a good fit for your project is by discussing it directly with its representatives. Submit requests for proposals and compare responses before making a final decision, too.
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