A new visual language for AI

IBM
watsonx ORCHESTRATE โ€œPRODUCT LAUNCH FILMโ€

IBM
watsonx ORCHESTRATE โ€œPRODUCT LAUNCH FILMโ€

A new visual language for AI

IBM
watsonx ORCHESTRATE โ€œPRODUCT LAUNCH FILMโ€

(CLIENT)

(CLIENT)

IBM

IBM

(SERVICES)

(SERVICES)

Creative Direction, Design, Animation

Creative Direction, Design, Animation

The Brief

The Brief

IBM needed a launch film for watsonx Orchestrate that could do double duty โ€” a sales tool for reps on the road and promotional material out in the world. The ask was straightforward on paper: show the product, show what it does, show why it matters. The hard part was everything underneath that. This is a product that lives at the intersection of data, AI, software, and tooling โ€” abstract, interconnected systems that donโ€™t have an obvious visual language. We had to build one from scratch.

IBM needed a launch film for watsonx Orchestrate that could do double duty โ€” a sales tool for reps on the road and promotional material out in the world. The ask was straightforward on paper: show the product, show what it does, show why it matters. The hard part was everything underneath that. This is a product that lives at the intersection of data, AI, software, and tooling โ€” abstract, interconnected systems that donโ€™t have an obvious visual language. We had to build one from scratch.

Watch the Film

The Challenge

The Challenge

There were two problems stacked on top of each other.

First: how do you make invisible things feel tangible? Data, AI, and software arenโ€™t objects โ€” theyโ€™re processes. We needed a way to personify each of these elements distinctly enough that an audience could tell them apart at a glance, while still feeling like they belonged in the same world.

Second: the product itself. watsonx Orchestrate has a real UI, and it needed to look like itself โ€” not a fantasy version of the software. But dropped straight into an animated environment, a literal UI read as flat and out of place. We had to find a way to stay faithful to the actual product while giving it room to breathe inside a more stylized, kinetic world.

And underneath both of those was a bigger mandate: this couldnโ€™t look like anything else in the AI space. Every competitor launch video right now leans on the same handful of visual tropes โ€” glowing neural networks, particle swarms, blue-on-black gradients. Our job wasnโ€™t just to visualize the product, it was to help define what IBM looks and feels like in a category thatโ€™s actively drowning in sameness.

There were two problems stacked on top of each other.

First: how do you make invisible things feel tangible? Data, AI, and software arenโ€™t objects โ€” theyโ€™re processes. We needed a way to personify each of these elements distinctly enough that an audience could tell them apart at a glance, while still feeling like they belonged in the same world.

Second: the product itself. watsonx Orchestrate has a real UI, and it needed to look like itself โ€” not a fantasy version of the software. But dropped straight into an animated environment, a literal UI read as flat and out of place. We had to find a way to stay faithful to the actual product while giving it room to breathe inside a more stylized, kinetic world.

And underneath both of those was a bigger mandate: this couldnโ€™t look like anything else in the AI space. Every competitor launch video right now leans on the same handful of visual tropes โ€” glowing neural networks, particle swarms, blue-on-black gradients. Our job wasnโ€™t just to visualize the product, it was to help define what IBM looks and feels like in a category thatโ€™s actively drowning in sameness.

The Approach

The Approach

We built the visual system around texture, form, and color โ€” using those three levers to give each element (data, AI, software, tools) its own distinct identity, keeping them visually related enough while creating a coherent vocabulary of shapes and materials that could flex across the whole product story.

For the UI itself, we treated it less like a screen recording and more like a set piece โ€” reconstructing key product moments so they stayed true to the real interface, but rebuilt to move, light, and sit naturally inside the animated world around it.

We built the visual system around texture, form, and color โ€” using those three levers to give each element (data, AI, software, tools) its own distinct identity, keeping them visually related enough while creating a coherent vocabulary of shapes and materials that could flex across the whole product story.

For the UI itself, we treated it less like a screen recording and more like a set piece โ€” reconstructing key product moments so they stayed true to the real interface, but rebuilt to move, light, and sit naturally inside the animated world around it.

The OUTCOME

The OUTCOME

The result is a hero film thatโ€™s fast, upbeat, and slick โ€“ energetic enough to hold attention but not too fast to miss the details. All built on net new visual guidelines specific enough that it couldnโ€™t be mistaken for anyone elseโ€™s AI product. The visual vocabulary generated for this project has become the standard across the IBM brand for an emerging AI technology.

Celebrated across the organization, closing the gap between Art Directors and Engineers โ€“ which is no small feat.

The result is a hero film thatโ€™s fast, upbeat, and slick โ€“ energetic enough to hold attention but not too fast to miss the details. All built on net new visual guidelines specific enough that it couldnโ€™t be mistaken for anyone elseโ€™s AI product. The visual vocabulary generated for this project has become the standard across the IBM brand for an emerging AI technology.

Celebrated across the organization, closing the gap between Art Directors and Engineers โ€“ which is no small feat.

Overhead shot of ingredients being prepared on a wooden board

ARE YOU GONNA FINISH THAT?

ARE YOU GONNA FINISH THAT?

Overhead shot of ingredients being prepared on a wooden board

ARE YOU GONNA FINISH THAT?

Overhead shot of ingredients being prepared on a wooden board

(location)

New York, NY

10:46:59 AM

(location)

New York, NY

10:46:59 AM

(location)

New York, NY

10:46:59 AM