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Intelligent assistants
AI companions that understand context and intent, so they can help with everyday tasks and complex workflows alike.
01Mission
We believe AI should help people with the things they care about most. We do rigorous research at the edge of what AI can do, and turn it into tools that help people think, create and live better.
See where we focus02Focus areas
What we work on.
We put our effort where AI can do the most good for people.
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Cognitive enhancement
Tools that help people think more clearly, get more done and do better creative work, with AI as a collaborator.
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Sustainable technology
AI applied to environmental problems, to help us use resources better and move to sustainable systems sooner.
03Research
The questions we’re chasing.
Each focus area is really a set of open problems. These are the questions we keep coming back to.
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How does an assistant earn trust?
It starts with honesty about what it doesn’t know. We study calibration, uncertainty and hand-offs, so that assistants ask before they guess and step back when a person should decide.
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What should an assistant remember, and what should it forget?
Context makes help useful, but memory without consent makes it intrusive. We want assistants to be selective and open about what they remember, with the user in control of what’s kept.
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Can AI make us better thinkers, or only faster ones?
Most tools optimize for speed. We’re interested in tools that deepen understanding by explaining things and pushing back, so people end up more capable than before.
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What does real collaboration between people and AI look like?
We’re looking for something between autocomplete and autopilot, where people and models build on each other’s ideas and the person always stays the author.
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How small can a useful model be?
Efficient models run on everyday devices, use less energy and reach more people. We look for the smallest models that still do the job well.
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Where can better predictions cut the most waste?
We look for places where a better model leads directly to lower emissions, such as forecasting energy demand or planning how resources move.
Working on one of these? Let’s compare notes
04How we work
From first question to measurable change.
Every idea we pursue follows the same current: understand it deeply, build it carefully, and prove that it helps.
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01Research
Ask harder questions.
We work on open problems and test our ideas with careful experiments.
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02Engineering
Build what’s useful.
We turn research results into tools that solve real problems.
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03Evaluation
Measure what changes.
We check whether our work helps the people using it, and whether the effect lasts.
Principles we hold ourselves to.
Six commitments that decide what we build and what we won’t.
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P/01
People first.
Every system starts with a person and a problem worth solving. The model comes later.
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P/02
Honest by design.
Our systems should be clear about what they are, what they know and where they might be wrong.
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P/03
Private by default.
We don’t collect data we don’t need, and people control what we do keep.
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P/04
Measured, not hyped.
Benchmarks count, but we mostly judge our work by what changes in people’s lives: time saved, skills gained, waste avoided.
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P/05
Efficient on purpose.
Smaller, faster, lower-energy models reach more people and cost the planet less.
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P/06
Open to the world.
We share what we learn and build on other people’s work. We also look for collaborators who want the same future we do.
05The name
Why Gale?
Sailors use gale for force 8 on the Beaufort scale: 34 to 40 knots, wind strong enough to move the world. Poets once used the same word for a gentle breeze.
We like that it means both: AI that is gentle with people, and powerful for them.
Force 8
Gale
34–40 kn
06Careers
Bring your curiosity. We’ll bring the wind.
We’re looking for people who care as much about the impact of their work as about the craft behind it, and who want AI to make life better.
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01Discipline
Research
Machine learning, evaluation and human–AI interaction. You turn hard questions into experiments, and experiments into evidence.
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02Discipline
Engineering
Models, infrastructure and products. You make research run reliably for real people, and you care about doing it efficiently and responsibly.
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03Discipline
Design
Product, interaction and research design. You make powerful systems feel simple and humane, and keep them honest.
How we hire
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Say hello
Send a short note and something you’ve made: a paper, a repository, a prototype or a design.
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Talk it through
A relaxed conversation about your work, our focus areas and what you want to learn next.
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Work on something real
A practical exercise based on the work you’d do here, kept short so it respects your time.
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Meet the team
Talk with the people you’d be working with and ask them anything. Then decide whether it feels right.
07FAQ
Good questions.
Can’t find what you’re looking for? Write to us at hello@galemind.com.
What does Gale Mind do?
We’re an AI research and development company. We work in three areas: intelligent assistants, cognitive enhancement and sustainable technology. In each one, we take ideas from research through to practical tools.
Where are you based?
In Istanbul. Our headquarters is in Aşağı Dudullu, Ümraniye, on the city’s Asian side.
Do you work with universities and companies?
Yes. We’re open to research collaborations with universities and labs, and to pilot projects with organizations working on problems in our focus areas. Tell us a little about what you have in mind at hello@galemind.com.
Are you hiring?
We’re always glad to hear from researchers, engineers and designers. See Careers for how we hire, or send an open application.
How do you think about privacy and safety?
We design for them from the start. We keep data to a minimum, give people control over what’s kept, and build systems that are clear about their limits. Our principles go into more detail.
Why is it called Gale Mind?
On the Beaufort scale a gale is force 8, a wind strong enough to move the world. Poets once used the same word for a gentle breeze. We want AI to be both: powerful for people, and gentle with them. Read the full story.
How can I follow your work?
Follow us on GitHub, or write to hello@galemind.com.
08Contact
Let’s talk.
Get in touch about a collaboration or a job, or just to find out more about our work.