

$30M+
raised and earned by companies we built for
Insect-farming laboratories run on some of the most data-dense operations in agritech - yet no software was built for them.

Full design partnership for Boom: a student mental-health app with AI insights, voice & written journaling, plus a privacy-safe analytics dashboard for campuses.

Product design for Moru: one system uniting appointment calendars, patient chat, finances, and dashboards — so clinical teams spend less time on admin and more on care.

Product, character, and gamification design for Ango: an English-learning app built specifically for children, where play is the lesson and characters do the teaching.

An ERP for one of the most unusual industries we've designed for: insect-farming laboratories. Mara turned smart-sensor streams and breeding records into dashboards a biologist can read at a glance.

From UX research to full product design: Mara is the end-to-end design partner of Delphyr, the healthcare AI platform that lets clinicians find patient information instantly — backed by the founders of Hugging Face and DEGIRO.

Mara designed Abrium from the ground up: a cross-chain swap platform where MEV protection is a core UX feature, not fine print. Brand identity, website, and full product design for DeFi.
Full design partnership for Boom: a student mental-health app with AI insights, voice & written journaling, plus a privacy-safe analytics dashboard for campuses.

Product design for Moru: one system uniting appointment calendars, patient chat, finances, and dashboards — so clinical teams spend less time on admin and more on care.

Product, character, and gamification design for Ango: an English-learning app built specifically for children, where play is the lesson and characters do the teaching.

An ERP for one of the most unusual industries we've designed for: insect-farming laboratories. Mara turned smart-sensor streams and breeding records into dashboards a biologist can read at a glance.

From UX research to full product design: Mara is the end-to-end design partner of Delphyr, the healthcare AI platform that lets clinicians find patient information instantly — backed by the founders of Hugging Face and DEGIRO.

Mara designed Abrium from the ground up: a cross-chain swap platform where MEV protection is a core UX feature, not fine print. Brand identity, website, and full product design for DeFi.
Full design partnership for Boom: a student mental-health app with AI insights, voice & written journaling, plus a privacy-safe analytics dashboard for campuses.

Product design for Moru: one system uniting appointment calendars, patient chat, finances, and dashboards — so clinical teams spend less time on admin and more on care.

Product, character, and gamification design for Ango: an English-learning app built specifically for children, where play is the lesson and characters do the teaching.

An ERP for one of the most unusual industries we've designed for: insect-farming laboratories. Mara turned smart-sensor streams and breeding records into dashboards a biologist can read at a glance.

From UX research to full product design: Mara is the end-to-end design partner of Delphyr, the healthcare AI platform that lets clinicians find patient information instantly — backed by the founders of Hugging Face and DEGIRO.

Mara designed Abrium from the ground up: a cross-chain swap platform where MEV protection is a core UX feature, not fine print. Brand identity, website, and full product design for DeFi.
You may ask us
AI products produce variable, sometimes uncertain outputs, and often act on a user's behalf (in the case of agents). Designing for this requires patterns for showing confidence levels, explaining reasoning, allowing intervention, and handling errors gracefully — challenges that don't exist in deterministic software in the same way.
Yes. We design agentic interfaces that show what an AI agent is doing, why, and give users clear points to review, approve, or stop actions — balancing automation with user control.
We focus on calibrated trust — helping users understand what the AI can and can't do accurately, through onboarding, confidence indicators, and transparent communication about limitations. The goal is neither blind trust nor excessive skepticism, but appropriate trust based on actual capability.
Yes. This is a common challenge for AI companies. We design marketing sites and product pages that translate technical capability into concrete value, often using examples, demos, and plain-language explanations rather than jargon.
We build flexible design systems and component libraries that separate core interaction patterns from specific feature implementations, so new AI features can be added without redesigning the underlying experience each time.
Yes. We work with AI-native companies building products from scratch, and with established companies integrating AI features into existing products — where the challenge is often making new AI features feel native rather than bolted on.