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AI-native engineering
Research-backed design
Commerce Architects and Sentier have joined forces — two specialized firms running as one integrated team, from concept to production, fast.
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THE DELIVERY GAP
Teams are trying to figure out the new way of working with AI.
We have found a way to do it.
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.
Deep Expertise. Hard-won instincts. One team.
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
Problems We Solve Together
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Design and research firm — product design, design systems, UX for AI, service design
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Research-backed, built to last
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Trusted by industry leaders
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Expertise in turning complex, ambiguous requirements into actionable product roadmaps
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Human-centered design that survives contact with real users
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AI-native engineering and cloud architecture firm
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AWS Advanced Tier Partner — dual AI Competency validation (Generative AI + Agentic AI)
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Specialists in rapid AI implementation, ecommerce, and application modernization
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Proven at enterprise scale
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Built and refined an AI-assisted development methodology on real production projects
WHO WE ARE
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
Get to Know Us
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