No theoretical frameworks. No risky experiments on your budget.
Get proven AI systems backed by real builds—with hands-on training to make your team autonomous.
We build AI systems in our labs, then teach what actually works. Real projects. Real code. Real lessons.
An AI assistant with understanding of your weekly, monthly, and yearly tasks and goals
Custom AI that remembers your context, understands your business, and helps you stay focused on what matters. Learns from your documents, emails, and calendar to provide personalized assistance tailored to your goals. Unlike generic chatbots, this system maintains long-term memory of your priorities and adapts to your workflow.
View Project Details →Automated lead scoring and routing that saves 15+ hours per week
Intelligent workflow that automatically qualifies inbound leads, enriches contact data, and routes high-value prospects to your sales team. Built with n8n for easy customization, this system integrates AI analysis with your existing CRM and email tools. No complex infrastructure required—deploy in hours, not months.
View Project Details →Build sophisticated AI automation without writing code
Visual workflow builder that connects AI models with your existing tools. Drag-and-drop interface lets you create complex automations—email processing, data enrichment, intelligent routing—without a single line of code. Perfect for teams who want AI capabilities fast without waiting for custom development. We use this approach when speed-to-market matters more than custom optimization.
View Project Details →"We teach what we've actually built in our labs, not what's trending on social media."
KindLogic delivers hands-on training for technical teams. Founder Alonso Gutierrez leads all workshops, teaching your team to build and deploy AI systems—no black boxes, no vendor lock-in. Your team walks away with working implementations and the knowledge to maintain and extend them.
KindLogic builds custom AI systems tailored to your specific needs. Production-ready, deployed, and documented. Then we transfer the knowledge to your team so you're not dependent on us. Every system we build for clients is tested in KindLogic AI Labs first.
KindLogic gives back to the Toronto/GTA community with free workshops. We teach practical AI skills to students, professionals, and local tech communities. We partner with universities and tech groups to make enterprise-grade AI education accessible to everyone.
Founder Alonso Gutierrez is launching the KindLogic YouTube channel with step-by-step tutorials building production AI systems. Real implementations you can deploy, not toy demos.
Watch as we build RAG systems, AI agents, and automation workflows—showing the code, the challenges, and how to solve real problems.
Sign up to be notified when we go live
Built infrastructure for ML teams working on autonomous vehicles. Scaled deep learning pipelines for enterprise production.
Enhanced security and account integrity systems serving millions of users. Applied ML to real-time abuse detection and mitigation.
Master's in Systems Engineering from University of Pennsylvania/Wharton. Focused on complex systems design and optimization.
Years building production ML/AI systems. From startups to Fortune 500. From proof-of-concept to serving millions of users.
Alonso's background enables KindLogic to deliver business-grade AI systems with enterprise reliability, specifically designed for teams who need results, not complexity.
Learn More About Alonso →Honest, practical insights from KindLogic AI Labs—where we build AI systems every day.
Successful SMBs often rely on legacy systems that 'just work'. But with AI accelerating technological change, the gap between tech-savvy businesses and those delaying adoption is widening exponentially.
Read More
Discover 5 practical ways established small businesses can leverage AI for unexpected benefits without requiring technical expertise or massive system overhauls.
Read More
Let's talk about your AI project
Book a call to discuss KindLogic workshops, custom implementation projects, or strategic guidance on AI adoption. Or explore the lab first—no commitment, just see what we're building.