AI product design agency for AI-driven teams

Other Land designs AI features users trust, understand, and keep using.

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Generative UI Trust patterns Research and evals Dashboards and agents Clickable prototypes AI-ready design systems Adoption and retention Onboarding flows MVP to product Front-end handoff

Trusted by 56+ companies

AI products Other Land has designed

Persona. Product design for a B2B SaaS AI user-interview tool

a16z

Backed by

Persona — Product design for a B2B SaaS AI user-interview tool

Asper. Product audit for an AI demand-forecasting SaaS

$20M

Series B

Asper — Product audit for an AI demand-forecasting SaaS

Takko. Building an enterprise AI assistant for internal teams

€1.3B

Revenue

Takko — Building an enterprise AI assistant for internal teams

RiskIndex. Redesign for an AI risk-evaluation platform

230+

B2B users

RiskIndex — Redesign for an AI risk-evaluation platform, after redesign RiskIndex — Redesign for an AI risk-evaluation platform, before redesign
DressX Cricut Takko Beanz RAKBANK Stockpile Migros Bank Sides Mobily

Persona, Asper, Takko, RiskIndex, Sells AI and Method have worked with Other Land on products built around a model, not just a database.

Where we help

When teams call Other Land about an AI product

You shipped fast with an LLM. Now it has to hold up.

Post-AI cleanup

Teams who built quickly with AI tools and now need the product, and the way they present it, to stand next to funded competitors.

Built fast

Your developers ship with agents. Design is still the slow part.

Design at agent speed

Design lands in your repo as a pull request, built from your components, not a Figma file waiting for translation.

Speed

Every AI feature you add makes the product harder to use.

AI on top

Live products with real users, layering AI onto years of existing functionality. We keep the navigation from collapsing under it.

Complexity

The feature works. Users open it once and never return.

Trust and adoption

We rebuild the moments where users decide whether to believe the output, with sources, confidence, undo and a way to correct it.

Trust

How we work

Other Land's AI product design process

  • We scope the work and pick an AI-native designer or design engineer.
  • Kickoff with both teams, plus access to your tools and data.
  • Design in Figma, in code with Claude Code or Cursor, or both.
  • One to two weeks before design starts, and a few days on a four-week sprint.
  • Stakeholder interviews with product, support, marketing and devs.
  • We map the roadmap, the expectations, and what you already tried.
  • Where possible, we talk to your users about what actually hurts.
  • Your analytics and user feedback show where trust in the output breaks.
  • We study AI patterns in comparable products, not generic UX.
  • First drafts land right after onboarding, not a month later.
  • We propose solutions from that evidence, or work your roadmap as it is.
  • Estimates upfront, and an update on what shipped every week.
  • Trust patterns first, with sources, confidence, undo, and edit paths.
  • We build an AI-ready design system, so generated UI stays consistent.
  • Agents build from your components, with a design review on every screen.
  • Redesigns run screen by screen, in priority order.
  • Screens go over in batches, so review and build start early.
  • Clickable prototypes explain the logic better than a spec does.
  • Figma MCP hands components to your coding agents, not screenshots.
  • Front-end as a pull request, built in Claude Code or Cursor.
  • We write documentation only where something would break without it.

Design review

How Other Land reviews AI-generated design

Solves the real problem

Each screen is checked against the user problem we defined, not only the prompt that generated it.

Follows your rules

Your design system, the PRD and trust patterns for sources, confidence and undo. Each comment becomes a new rule.

Design leadership signs off

Automated checks catch most issues. Our design director reviews each screen by eye before it reaches your team.

What you get

AI product deliverables

Product design in Figma, front-end as a pull request, or both.

Clickable prototypes you can open and use, instead of specification documents.

Trust patterns for AI output, with sources, confidence, undo and corrections.

An AI-ready design system, or a UI kit when speed matters more.

Why AI teams trust us

Other Land turns AI prototypes into products users actually use

56+ products
shipped since 2017
$156M+
in funding raised by our clients
12 systems
design systems built, startups to enterprise
8 years
designing digital products end to end
83 problems
UX issues mapped and fixed on a single AI forecasting platform
28 → 5 days
to the first clickable flow, vs Figma-first

Why us

Why AI teams choose Other Land

Small dedicated team

An embedded designer, a design lead, and a product manager. Three people on your product, one price.

AI-native designers

An AI-native product designer or design engineer, in Figma, in code, or both, matched to your team.

Sprint based

Kanban or scrum, Jira, Slack, Trello. We work inside your rituals, or bring ours if you have none.

Product thinking first

We start from your users, data and stakeholders, not just the ticket. Your roadmap is one option.

AI-ready design system

Figma structured for MCP and AI rules for Cursor and Claude Code, so generated screens use your real tokens.

Built in your stack

Claude Code, Cursor, Figma MCP, Storybook and React. Design lands where your developers work.

Who it's for

AI product design for every company stage

An AI startup or MVP

Speed and focus. An AI-native product designer ships the version real users trust, not the version that demos well.

A scale-up adding AI

We bring a fresh view of your AI features or follow your roadmap, whichever your team needs, and ship weekly with your squads.

An enterprise product

We join your squads and design team, plan complex AI rollouts, and keep communication between big teams on track.

Collaboration models

Four ways to work with Other Land . Pick the setup that fits you

We shipped an AI feature fast. Now it needs a team behind it.

Embedded Designer

An AI-native product designer who works inside your team, owns your design, and ships on your roadmap. Full-time or part-time, for as long as you need.

From 4 weeks

The model works. The interface around it does not. Can you fix it?

Project Sprint

A clear scope with a clear outcome. One flow, one funnel, one release. We come in, do the work, and ship it with your team.

1 to 3 months

Users open the AI feature once and never come back. Can you find out why?

UX Diagnostic

A focused look at where your product loses users, backed by your analytics. You get the problems, the causes, and a list of what to fix first.

2 to 6 weeks

We have steady design work, but not a full-time hire's worth.

Fractional Support

Ongoing design help without a full-time hire. A set number of hours each month, for whatever needs doing. Scale up or down anytime.

From 40h / month