Research-backed
design
AI-native
engineering
Sentier and Commerce Architects have joined forces — two specialized firms running as one integrated team, from concept to production, fast.
The Delivery Gap
Most teams know AI changed how digital products are built. Few have found the new rhythm — where design, product, and engineering stop handing off and start moving together.
The gap between vision and execution has always been expensive. At AI speed, it's fatal.
Most agencies claim to do both design and engineering. What they deliver is generalist coverage across both. Commerce Architects and Sentier made the opposite bet — stay deep, stay specialized, become genuinely exceptional in a single lane.
What we've built together is not a merged agency. It's two boutique firms with hard-won expertise running as one integrated team, with AI accelerating both sides. We have the battle scars to know where AI goes wrong, what it can't do, and how to get the best out of it.
That's not something you can shortcut.
Move Fast
Build Correctly
Build What Matters
The Problems We Solve Together
Move Fast With Quality
Move On The Right Things
Know What AI Gets Wrong
Understand The New Way Of Working
Who we are
AI-native engineering and cloud architecture firm
AWS Advanced Tier Partner — dual AI Competency validation
Specialists in rapid AI implementation, ecommerce, and application modernization
Proven at enterprise scale
Built and refined an AI-assisted development methodology on real production projects
Why us
What makes this different
End-to-end perspective — design and engineering rooted in the same process, not siloed
AI delivery backed by human-centered research
Proven on real projects, not a theoretical methodology
Design QA and implementation alignment that is inherent in the process, not bolted on
Faster delivery without sacrificing quality. The tradeoff is no longer necessary
The value of battle scars: knowing what NOT to do is as valuable as knowing what to do
Differentiated outputs with human expertise in the loop
Why not just use AI yourself?
AI makes plausible but incorrect decisions that require deep process expertise to catch before production
The production gap is real - security, scalability, and edge cases that pass unit tests but fail in the wild
Discovery and understanding the user in detail is still essential. AI can identify what, not why
AI defaults to generic outputs. Human expertise enables distinction
Context engineering is a 2+ year skill — lessons learned don't transfer without experienced practitioners
What We Deliver