EventsConference
Rangle at Web Unleashed 2026
We're a sponsor of FITC's Web Unleashed, two days of talks on front-end web development. Come find us at the Rangle booth in Toronto.
- October 27–28, 2026
- Humber IGS, Toronto
Our session
The Human in the Loop Is Moving
Della, a Solutions Architect at Rangle. A 45-minute talk, Tuesday, October 27, 12:00–12:45 PM, Room 410.
Let's meet in Toronto
Coffee, a booth conversation, or a proper working session about getting agents into your production stack. Leave your email and we'll set it up.
Who we are, and why stop by
Rangle is the team behind Nike's personalized AI shopping assistant and Sanofi's Elements Design System. We started in Toronto in 2013, and we've spent thirteen years shipping for Nike, Google, Sanofi, Staples, The North Face and Kenvue, and the last several moving that practice onto agents.
We've shipped more than 10 agentic projects into production, and they're running today. We got there by building a repeatable way to do it: how the work is scoped, where a human stays in the loop, what has to be true before an agent touches production, and which checks catch it when the agent is wrong. That's what we'd talk about at the booth.
We also run it on ourselves. This page, and the rest of rangle.io, is published by agents out of a code repository, with no CMS behind it.
Some of the work
Nike
How We Built Nike's Personalized AI Shopping Assistant in Just 3 Weeks
How Rangle built Nike's personalized AI shopping assistant in 3 weeks: an 8-day proof of concept, 6,300+ SKUs auto-tagged in a day, and an end-to-end generative-AI build.
Case Study
Three weeks to launch a scalable AI-powered marketplace solution with secure governance
In just three weeks, we built and deployed a secure human-in-the-loop matchmaking system for a service marketplace platform. Using generative AI and an open-source AI governance platform, the solution minimizes operational costs, accelerates lead response times, and scales without increasing headcount, with oversight, traceability, and control at its core.
Case StudyWhat we've been writing about shipping with AI
Before You Build an Agentic System, Answer These Questions
An agent that drafts a communication and an agent that sends it may use similar technology. They do not carry the same responsibility. Six decisions to make before you choose a model, a framework, or a platform.
Ship AI Features
Faster Coding Doesn't Mean Faster Delivery
AI has made implementation dramatically faster, but software delivery hasn't sped up to match. The bottleneck didn't disappear, it moved from writing code to everything surrounding it: clarity, alignment, architecture, and validation.
Align Product Strategy
What the EU AI Act Actually Means for Product and Engineering Teams
Your team shipped an AI feature and someone asked if it's EU AI Act compliant. Here's how to figure out if it applies to you, what you'd actually need to build, and how long you have.
Ship AI Features
The $265 Billion Question Your SaaS Vendors Can't Answer
Private credit defaults are surging in mid-market SaaS. Here are seven questions to assess whether your vendors' AI governance will survive what's coming.
Ship AI Features
Design Tools in the AI Era: What Actually Changed
Design tools used to compete on features. Better prototyping. Smoother collaboration. Faster rendering. That race made sense when design was a human activity and the deliverable was pixels on a screen.
Ship AI Features
Making Your Design System AI-Ready: What We've Learned & FAQ
An FAQ from the Rangle design systems team on making design systems AI-ready—covering documentation strategies, semantic token naming, MCP servers, validation feedback loops, and practical guidance on bridging design systems with AI coding tools like Copilot, Cursor, and Claude.
Scale DesignEventsConference · October 27–28, 2026
Rangle at Web Unleashed 2026
Rangle was a sponsor of FITC's Web Unleashed 2026 at Humber IGS in Toronto, two days of talks on front-end web development. Della, a Solutions Architect at Rangle, gave Rangle's talk: The Human in the Loop Is Moving.
This event happened on October 2026. We're not running it again, but you're welcome to ask us about hosting one for your team. Get in touch.
Who we are
Rangle is the team behind Nike's personalized AI shopping assistant and Sanofi's Elements Design System. We've shipped more than 10 agentic projects into production, and they're running today: real systems, real users, live right now.
We got there by building a repeatable way to do it, and that mechanism is what we bring to a client engagement. If we met in Toronto and you want to pick the thread back up, the link at the bottom of this page reaches us.
What we've been writing about shipping with AI
Before You Build an Agentic System, Answer These Questions
An agent that drafts a communication and an agent that sends it may use similar technology. They do not carry the same responsibility. Six decisions to make before you choose a model, a framework, or a platform.
Ship AI FeaturesFaster Coding Doesn't Mean Faster Delivery
AI has made implementation dramatically faster, but software delivery hasn't sped up to match. The bottleneck didn't disappear, it moved from writing code to everything surrounding it: clarity, alignment, architecture, and validation.
Align Product StrategyWhat the EU AI Act Actually Means for Product and Engineering Teams
Your team shipped an AI feature and someone asked if it's EU AI Act compliant. Here's how to figure out if it applies to you, what you'd actually need to build, and how long you have.
Ship AI FeaturesThe $265 Billion Question Your SaaS Vendors Can't Answer
Private credit defaults are surging in mid-market SaaS. Here are seven questions to assess whether your vendors' AI governance will survive what's coming.
Ship AI FeaturesDesign Tools in the AI Era: What Actually Changed
Design tools used to compete on features. Better prototyping. Smoother collaboration. Faster rendering. That race made sense when design was a human activity and the deliverable was pixels on a screen.
Ship AI FeaturesMaking Your Design System AI-Ready: What We've Learned & FAQ
An FAQ from the Rangle design systems team on making design systems AI-ready—covering documentation strategies, semantic token naming, MCP servers, validation feedback loops, and practical guidance on bridging design systems with AI coding tools like Copilot, Cursor, and Claude.
Scale DesignWant to host an event with Rangle?