Work
Proof in shipped systems—not slide decks
We are happy to walk through architecture, metrics, and lessons learned under NDA. Start with a short intro call and we will suggest what to share next.
Request a walkthrough →Web experiences that earn trust—
and AI layers that feel intentional
Performance, accessibility, and clear UX for both humans and models—so launches feel confident, not fragile.
Outcomes teams remember
Representative feedback from AI and web engagements—titles anonymized where requested.
B2B SaaS · US
They turned a fuzzy ‘AI assistant’ idea into something our CS team actually uses—grounded answers and guardrails included.
Professional services · UK
Our intake and scheduling workflow was half manual. Automate28 shipped an internal tool in weeks, not quarters.
Marketplace startup
The marketing site and onboarding flow finally match the product story. Conversion and clarity both moved.
B2B SaaS · US
They turned a fuzzy ‘AI assistant’ idea into something our CS team actually uses—grounded answers and guardrails included.
Professional services · UK
Our intake and scheduling workflow was half manual. Automate28 shipped an internal tool in weeks, not quarters.
Marketplace startup
The marketing site and onboarding flow finally match the product story. Conversion and clarity both moved.
Fintech
Solid engineering: auth, audit logs, and eval hooks from day one. Rare in AI projects.
Enterprise software
They speak both brand and model behavior. Our launch assets and in-product copy stayed consistent.
Healthcare
We needed RAG over policy docs with citations. They delivered something clinicians trust to open.
Fintech
Solid engineering: auth, audit logs, and eval hooks from day one. Rare in AI projects.
Enterprise software
They speak both brand and model behavior. Our launch assets and in-product copy stayed consistent.
Healthcare
We needed RAG over policy docs with citations. They delivered something clinicians trust to open.