What we build / Design · UX
Design that ships, because it sits with the engineers.
Product design and UX research — embedded in your pod, not handed over a wall. Design systems, accessibility, and user flows shaped by real behavioral insight, built alongside the people who implement them.
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Design embedded in every pod.
TH7 BodyLabs earns 4.9★ from 670 reviews. That doesn't happen by accident — it happens when the designer sits with the engineers who build the product, working from the same backlog, attending the same standups. Our design systems span fitness, enterprise, fintech, and AI-native products. Design that ships is design that stays in the room.
Design systems that compound
Component libraries and token systems built to scale with the product — so the 20th feature ships as consistently as the first, without designer bottlenecks.
AI-native UX patterns
Displaying probabilistic AI output, building user trust in recommendations, designing for graceful degradation — our designers have shipped AI features in production and solved these before.
Research-informed iteration
User behavior, session recordings, funnel analytics, and A/B results feed directly into design decisions. Not guesswork — not just aesthetics.
Accessibility built in
WCAG compliance, keyboard navigation, screen reader support, and contrast ratios designed from the component layer — not audited and retrofitted after launch.
What we build
Design, in the room.
Design systems
Reusable component systems that keep product and brand coherent as you scale.
UX research
Decisions shaped by real behavior and data, not guesswork.
Accessibility & performance
Inclusive, fast experiences — built in, not retrofitted.
Embedded in the pod
Designers work with your architects daily, so design actually ships.
How we build it
AI-native delivery, governed by architects.
The same five-step delivery model behind every Wegile build. Not an AI wrapper — a production AI team.
Under the hood
Design that integrates with build.
Design embedded in the engineering pod — so what's designed is what ships.
AI-native product design
Design that understands how AI changes the product.
AI-native products have new design challenges: how do you visualize probabilistic outputs? How do you build user trust in AI-driven recommendations? How do you design for graceful degradation when AI is unavailable? Our embedded designers have shipped AI features in production — they've solved these before.
AI output design
Patterns for displaying AI-generated content, confidence indicators, citations, and correction flows — designed to build user trust, not erode it.
Human-in-the-loop UX
Interfaces that keep humans in the decision loop at the right checkpoints — intuitive override controls, audit views, and explanation panels.
Evaluation-informed iteration
AI features get better when design is informed by evaluation metrics — our designers work from the same quality data the AI team uses.
Questions design buyers ask us
Before you start. Straight answers.
Primarily embedded in a pod — our designers work daily with the engineers who implement the product. We can scope design-only work for design systems, UX audits, and prototyping. The strongest outcomes come when design sits in the room with engineering from the start.
Handover-ready Figma files with component libraries, design tokens, spacing and typography scales, and auto-layout — not static screens your engineers have to interpret. For design systems: a documented component library your team can build on independently.
Yes. UX audits, component-level redesigns, and incremental design system adoption are all effective without touching what's working. We identify the highest-friction areas and improve them without disrupting the rest of the product.
WCAG 2.1 AA as the baseline — contrast ratios, focus states, semantic structure, and screen reader compatibility designed in from the component level. Accessibility audit as part of every design handover.
The embedded designer stays with the pod — iterating based on user behavior data, extending the design system as new features are added, and maintaining consistency as the product grows. Design doesn't stop at first launch.
Need design that ships? Let's embed it in your pod.
Response within 24 hours. After the architecture call, a named pod and day-one plan arrive within 4 business hours.