AI Experiences, Not AI Technology : Palette

Palette didn’t start with AI technology. It started with people who had long worked to understand what
people want—and why they express themselves the way they do.

Palette Focuses on Human Context, Not Just Technology

There is no single right answer in advertising and marketing. Even the same product and message can be received differently depending on who sees it, the context, and the language used.
Palette was founded by people with backgrounds in brand marketing who have always looked beyond
simply executing what clients explicitly request. We examine the needs behind their words, the realities
facing their brands, and even the problems that have not yet been clearly articulated.
When we first encountered generative AI in 2023, we approached it from the same perspective. Its ability to produce text and images rapidly was impressive, but speed alone was not enough for real-world work. When AI outputs lack a clear objective, context, and brand-specific decision-making criteria,
they quickly become generic and one-dimensional.
That is why Palette chose to focus on the context of the people using AI.

AI Should Add More Than Speed

AI-powered workflow automation makes work faster and more efficient. That matters. But after working on numerous projects, Palette began asking a different question.

Not “How much can AI reduce our workload?”
but “What new possibilities can AI bring to this work?”

For example, generative AI allows us to reconsider advertising scenes that would previously have been
ruled out because of budget or time constraints. This is not simply about reducing production costs.

It is about turning forms of expression that could not be attempted because of real-world constraints into realistic possibilities.
What Palette calls & “Applied AI” is an approach that focuses not on the technology itself, but on applying AI to real-world problems to create new value and experiences that did not exist before.

Understanding People Is What Shapes the “AI Experience”

When Palette talks about an AI experience, we do not mean that AI possesses human-like emotions. We mean an experience in which the user's goals and circumstances-as well as the workflow and decision-making criteria involved in their work-are sufficiently reflected in their interactions with AI, allowing the results to lead to meaningful next steps.
Creating a good AI experience begins with asking good questions. What is the background behind this
request? What constraints has the user been unable to express? What criteria will they use to determine whether the outcome is good?
These are the very questions that Palette&team has been asking for years in advertising and brand marketing.

Palette does not design AI features alone. We design ways for human
intent and professional expertise to function effectively within AI.

Bringing Professional Expertise into AI

The more we work with AI, the more clearly we see the importance of human experience. The
professionals who perform a job every day know best what constitutes a good result, which expressions
should be avoided, and where human judgment is required.
A good AI agent becomes a real working tool only when this knowledge is designed into its goals, processes, and decision criteria.
That’s why Palette is building a no-code AI agent builder that lets professionals turn their own
expertise and experience into AI agents—without writing a single line of code.
It’s not a tool just for people who are already comfortable with AI. It’s designed for the people who know their work and their customers best.
Rather than putting technology first, Palette begins by understanding people's problems. We are a company that designs ways for this understanding to lead to better conversations with AI, meaningful
changes in how people work, and entirely new brand experiences.

Experience The Unexperienced

Enabling people to experience what they have never experienced before - that is why Palette creates AI.

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