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Digital Design Days Milan 2026 · ~90 min

AI in Creative Production

Real Briefs. Real Deadlines. Real Solutions.

Gray Grandeza - Co-Founder & CTO, Cuadro Group
Davide Lancini - Software Engineer & Tech Lead, Cuadro Group

Block 1 - Intro

Gray Grandeza

Co-Founder & CTO, Cuadro Group

10 years as a 3D artist. Creative director of a 60-person studio. Projects for Netflix, LEGO, DC.

Now: CTO at Cuadro Group, managing a team of developers, engineers and tech leads.

Gray Grandeza
Block 1 - Intro

Davide Lancini

Software Engineer & Tech Lead, Cuadro Group

AI Developer and Python expert with a teaching background. Specialized in building AI-powered applications, intelligent automation, and backend systems.

Helping teams turn complex technical ideas into reliable products and practical software solutions.

Davide Lancini

AI Does Not Have to Be Disruptive

There is a more honest conversation for creatives.
It is about one resource we are always running out of.

Time.

Deadlines do not flex. Clients want more for less.
The gap between what a project requires and what a pipeline can deliver is a problem every creative in this room has felt.

AI, at its best, is a way to close that gap.

Today: 4 Real Examples
Module 01

Digital Avatars

Digital double in 2 weeks
→ Full AI pipeline

Module 02

CGI Product Animation

Precise product video in 10 days
→ Hybrid 3D + AI

Module 03

AI 3D + MetaHuman

Custom character in hours
→ AI + Unreal Engine

Module 04

Automation (Davide)

Workflow orchestration
→ N8N

Each one: a different way AI fits into a creative workflow.

Block 2 - Theory & Concept

Every Generation Uses
Every Tool Available

That is not new behavior. The question has always been the same:

What is the right tool for this problem, right now?

The Toolkit Evolves. The Approach Stays.

Then

3ds Max, Maya, ZBrush, Nuke

Now

Weavy, ElevenLabs, HeyGen, Meshy, Seedance, Unreal Engine 5

Assess the problem. Pick the right tool. Execute.
AI is the newest addition. Not a replacement.

"Can AI do this?"

"Where in this workflow does AI save us time without compromising the result?"

That framing is what you will see in every example today.

For Each Module

The ProblemThe SolutionThe Results

What the brief was, what the constraints were.
What the workflow looked like, which tools, which steps.
What came out, what it means.

Module 01

Digital Avatars

Full AI Pipeline

The Problem

Create a digital double of a real person.
10-15 lipsync videos.
Deadline: 2 weeks.

The Traditional Pipeline for a Digital Double
StepSpecializationTime
3D ModellingModelerDays to weeks
RiggingRiggerDays
Texturing & ShadingTexture artistDays
LightingLighterDays
DynamicsTDDays
AnimationAnimatorWeeks
RenderingPipelineHours to days
Review cyclesEveryoneOngoing

Multiple specialists. Massive render times. Weeks to months.

Even Hollywood
Struggles with This

Uncanny Twilight Renesmee

Unlimited budgets. Hundreds of people. Still uncanny.

So what do you do with 2 weeks and a real deliverable?

You Rethink
the Pipeline.

The Solution
The Workflow: 3 Tools
StepToolWhat It Replaces
Character creationWeavyWeeks of modelling + art direction
VoiceElevenLabsRecording sessions + audio editing
Animation + LipsyncHeyGen Avatar IVRigging + animation + rendering

Real identity → Stylized character → Cloned voice → Animated output.
Days instead of months.

Step 1: Character Creation

Tool: Weavy

Node-based AI image generation workflow.
Take the person's real identity. Transform into a semi-realistic stylized character.

Weavy node graph
Step 2: Voice

Tool: ElevenLabs

Clone the client's real voice. One recording session.
Generate the full audio library from written scripts.

ElevenLabs voice cloning
Step 3: Animation

Tool: HeyGen Avatar IV

Character + audio in. Lipsync animation out.
Natural movement. In sync. Ready to deliver.

The Results

Output Examples

The Results

Output Examples

credit: runway.ml

Tools change.
The approach does not.

Understand what the pipeline actually requires.
Find where AI steps in without losing quality where it matters.
Deliver.

Module 02

CGI Product Animation

Hybrid 3D + AI Pipeline

The Problem

CGI product animation. High quality.
Specific camera movements.
Deadline: 1-2 weeks.

"Just Prompt It"
Does Not Work Here

AI video generation is hit-or-miss. Sometimes 20 iterations for one usable shot.

Fine when you have time. Not fine when the client has approved a specific look and you have 10 days.

Control.

Full AI prompt
3D + AI workflow
The Solution
The Workflow: Precision + AI
StepToolPurpose
1. AnimateBlenderPrecise keyframes, approved camera movement
2. PlayblastBlenderFast unrendered preview (3D animatic)
3. Key framesNano Banana 2AI-rendered look from first/last frames
4. Final renderSeedance 2.0 (via Weavy)Motion from animatic + look from key frames

The motion is locked. The look is generated. Combined.

Step 1-2: Animate + Playblast

Tool: Blender

Animate the product. Lock the camera movement. Export a playblast.
Think of it as a 3D animatic.

Blender viewport
Step 3: AI-Rendered Key Frames

Tool: Nano Banana 2

Take the first and last frame from the animatic. Generate fully rendered key frames.

In minutes. Not days.

3D BlenderAI rendered
Step 4: Final Rendered Output

Tool: Seedance 2.0 (via Weavy)

Two inputs: Animatic → motion reference. Key frames → visual reference.
Final output.

Seedance via Weavy
The Results

Output Examples

credit: instagram.com/amirr_motion

AI is not always the full solution.
Sometimes it is one precise layer
in a larger system.

Knowing where to place it is the skill.

Module 03

AI 3D + MetaHuman
+ LiveLink

From Prompt to Real-Time Performance

The Problem

Can we create a fully custom, animatable digital character - one that moves and performs in real time - without the traditional pipeline?

The Traditional Pipeline
StepWhat It Takes
Model the characterWeeks
Rig itDays
Paint weightsDays
Build facial blend shapesDays
Set up capture or keyframeDays

Total: weeks to months.
What if you could compress that to hours?

The Solution
The Workflow: 3 Steps
StepToolOutput
1. Generate 3D modelMeshy 5PBR textured, game-ready mesh
2. Convert to MetaHumanUnreal Engine 5 pluginFully rigged, animatable character
3. PerformLive Link Face (iPhone)Real-time facial animation

Text prompt → 3D model → Rigged character → Live performance.

Step 1: AI 3D Generation

Tool: Meshy 5

Describe what you want. Out comes a 3D mesh with proper textures. PBR maps. Game-ready.
Not a sketch. An actual usable asset.

Meshy 5
Step 2: Mesh to MetaHuman

Tool: Unreal Engine 5

The plugin conforms it to the MetaHuman rig. Fully rigged, fully animatable.
No manual rigging. No weight painting.

Step 3: Live Link Face

Your iPhone just became a motion capture studio.

iPhone 12+. TrueDepth camera + ARKit. Real-time facial tracking into Unreal Engine.

The Results
credit: youtube.com/@xanaduBlu
Where Is This Going?

Digital Human Market

20252030
Market size$47B$258B
Annual growth~40%
$47B
$66B
$92B
$129B
$181B
$258B
202520262027202820292030
Who Is Using This?

Brand & Marketing

Virtual spokespersons. Any language, any market. No talent fee, no scheduling conflict.

Virtual Influencers

Already a real business category with real revenue. Now within reach of any small studio.

Virtual Production

What major studios do with multimillion dollar stages. Now: Unreal Engine + an iPhone.

Education & Training

Interactive virtual instructors. Healthcare, corporate, anywhere live trainer hours are expensive.

The cost of a performing
digital character is
approaching zero.

That has real implications for what a studio of any size can now offer.

Block 6

If You Have Ever Used a Node Editor, You Already Know How This Works.

Blender's Geometry Nodes. Maya's Hypershade. Unreal's Blueprints.

Inputs flow in. Nodes process them. Outputs go to the next stage.

Same Structure. Same Logic.

The tool changes. The abstraction does not.

UE Blueprints
Unreal Engine
Blender Nodes
Blender
n8n
n8n
Same Structure. Same Logic.

3D Node Graph

Inputs flow in
Nodes transform data
Outputs pass downstream
You chain logic

AI Workflow

Inputs flow in
Nodes transform data
Outputs pass downstream
You chain logic

Creatives Underestimate Themselves

The lateral thinking. The critical thinking. The ability to break a problem into connected steps.

That is already in you.

Now: Davide Shows You the Same Thinking Applied to Automation.

Same nodes. Same logic. Different domain.

Tool Reference - The Complete Stack

Module 01 - Digital Avatars

WeavyNode-based AI image generationweavy.ai
ElevenLabsVoice cloning + generationelevenlabs.io
HeyGenAvatar animation + lipsyncheygen.com

Module 02 - CGI Product Animation

Blender3D animation + playblastblender.org
Nano Banana 2AI-rendered key frames
Seedance 2.0Motion + visual → final render(via Weavy)

Module 03 - AI 3D + MetaHuman

Meshy 5AI 3D model generationmeshy.ai
Unreal Engine 5MetaHuman conversion + runtimeunrealengine.com
Live Link FaceiPhone facial mocapFree (Epic Games)

Module 04 - Automation (Davide)

N8NWorkflow automationn8n.io
Digital Design Days Milan 2026
Gray Grandeza
Gray Grandeza
Davide Lancini
Davide Lancini

Gray Grandeza - Co-Founder & CTO
Davide Lancini - Software Engineer & Tech Lead

Cuadro Group
cuadrogroup.com