Gebra · Product company

Research first.
Products that help
people do more.

We research how people work and live, then build and scale AI tools for professionals and everyday life.

See how we work

20+Years

25MUsers

140Countries

Why · Revolution through evolution

Unlocking the potential of people and companies

We help people achieve more — so we hold ourselves to the same standard. Every win and every miss is a chance to look again and improve: the product, the team, ourselves.

What every product we build must be

01DigitalMobile and web products built by our own team.
02SimpleThe clearest, lightest solution always wins.
03PersonalAdapts to each user's goals and context.
04EffortlessMore result with less effort.
05Work & growthBetter professional and personal productivity.
06Long termBuilt for people who stay with us.

Approach

Research. Build. Scale.

Research

We start with a question, not a feature. Hypotheses, experiments and A/B tests decide what gets built.

Build

Small teams ship the simplest thing that works, then improve it in many small steps.

Scale

In-house growth and analytics bring tens of thousands of new users every month to what proves itself.

Velocity = speed × direction. We slow down to find the direction, then accelerate.

AI-native by default

AI in every product.
AI in every workflow.

We use frontier AI models across the whole cycle — in what we ship and in how we work.

In our products

AI models power the core of Aidemia, Psy.day and Nurse.tools: assistants, content generation, personalisation.
We pick the best model for each task and evaluate it before release.
Products adapt to each user's goals, level and context.

In our workflows

AI coding agents write, test and review code alongside engineers.
Agents analyse reviews and customer voice, draft personas and research briefs.
AI generates and tests ad hooks, concepts and creatives at scale.
Automated pipelines handle analytics, reporting and QA.

01ResearchAI reads data and reviews
02ConceptAI drafts hooks and ideas
03BuildCoding agents + engineers
04TestA/B tests and evals
05ScaleAI creatives and analytics

Model-agnostic — the best model for each job
Human in the loop on every decision that matters
Evals and data before rollout
User data protected by design

Values

How we make decisions

Data over opinion

Decisions rest on hard, complete, comparable data — not feelings.

Simple wins

The simplest solution is usually the best. We look for more result with less effort.

Velocity, not speed

Direction first, then pace. When something goes wrong, we slow down.

Mistakes are data

Many mistakes mean many attempts. Repeated mistakes are the only bad ones.

Total responsibility

We own outcomes end to end — including problems outside our area.

Curiosity

Learning is part of the job. To learn, we teach.

R&D library

We build our own tools first

We invest heavily in modern internal tools. Our R&D library brings product insights, customer voice, personas, creative experiments and AI agents into one workspace — so every team can research, test and ship faster.