01 · Learning Platforms & Capability Transfer
KI-Werkstatt
Knowledge Becomes an Experience.
ExperienceFaster Than Light
Where cinematic vision meets AI engineering.
Faster Than Light
A new kind of creative partner.
Faster Than Light combines filmmaking, storytelling and creative direction with AI research and technical development. We create ambitious films, experiences and platforms—and build the reusable systems that make them possible.
Remove the barriers between imagination and reality.
- 01
Human Direction
Technology serves a creative point of view.
- 02
Cinematic Quality
Every frame, interaction and transition is intentionally authored.
- 03
Technical Integrity
Systems must function beyond a controlled demo.
- 04
Reusable Intelligence
Projects leave behind knowledge, infrastructure and workflows that can keep creating value.
- 05
Responsible Imagination
Ambition is balanced with context, safety, privacy, transparency and trust.
Realities Created.
Films, environments and systems—each built around a human point of view.
02 · Cinematic Worlds & Campaigns
Fizz — Worth Breaking Out For
From Brief to Breakout.
Experience
03 · Interactive Experiences & AI Characters
New Wave
Cinema Becomes a Space.
Experience
04 · Research, Simulation & Experimental Technology
Beyond Note-Taking
Spoken Knowledge, Made Visible.
Experience
05 · Cinematic Worlds & Campaigns
Make Me Feel
One Story. Many Worlds.
Experience
One project. Two truths.
See what the audience experiences—and the workflow, references and decisions that made it possible.
What people see and feel
Immediate premise
A simple desire drives an outsized escape story with readable action and a precise comic payoff.
Cinematic continuity
Character, car, desert and gas station remain part of one authored visual world.
Product memory
The bottle is integrated as the narrative objective rather than added as an isolated final pack shot.
We do not only create the outcome. We build the system behind it.
The Experience
The visible film, campaign, interface, character, learning world, simulation or interaction.
The System
The reusable knowledge layer, workflow, platform, model setup, validation process and infrastructure behind it.
The Capability
The interface, documentation, governance and training that let an organization continue.
From campaign to capability.
Imagine. Create. Engineer. Enable.
FTL combines these disciplines inside one production environment. The mix changes with each ambition.
Imagine
Creative strategy, concepts, worlds, characters and a precise experience direction.
HumanHuman direction defines purpose, taste, meaning and the decisions that make an idea worth pursuing.
TechnicalResearch and rapid prototyping reveal what is feasible and which tools can extend the idea.
Create
Films, images, product worlds, interactive experiences, installations, AI characters and prototypes.
HumanDirectors, artists and producers author narrative, framing, performance, rhythm and final selection.
TechnicalGenerative production, compositing and interaction systems expand the available material and forms.
Engineer
AI workflows, agentic systems, interfaces, retrieval, simulation, evaluation and deployable infrastructure.
HumanExperts define boundaries, evidence, approval gates and what failure looks like.
TechnicalModels, software and infrastructure make the workflow observable, repeatable and maintainable.
Enable
Workshops, learning environments, internal tools, documentation, governance and knowledge transfer.
HumanTeams learn when to trust, challenge, correct and own the system.
TechnicalInterfaces and documentation turn specialist workflows into usable organizational capability.
Intelligence, Orchestrated.
A project moves from human ambition to deployed reality through observable decisions, tools and review.
- 01
Vision
- Input
- Human ambition, story, audience and purpose
- Output
- A framed creative ambition
- 02
Knowledge
- Input
- Approved references, research, data and constraints
- Output
- A traceable source of truth
- 03
Intelligence
- Input
- Bounded models, tools, agents and retrieval
- Output
- Candidate decisions and material
- 04
Production
- Input
- Filming, generation, development and integration
- Output
- The authored experience and system
- 05
Validation
- Input
- Human review, testing, evidence and correction
- Output
- Approved quality with known limits
- 06
Reality
- Input
- Film, platform, workflow or deployed experience
- Output
- A usable outcome and reusable capability
Inside KI-Werkstatt
Complex systems. Human experiences.
Inside the KI-Werkstatt, expert material becomes an interactive Learning Nugget through a reviewable production path.
Inspect the full case study01 Source
- Input
- Approved expert material
- Output
- Bounded project knowledge
- Human
- Chooses sources and learning objective
- System
- Indexes source content
- Decision
- Is the evidence approved and sufficient?
- Correction
- Request missing or corrected source material
02 Extract
- Input
- Project knowledge
- Output
- Relevant evidence and concepts
- Human
- Confirms relevance
- System
- Finds and cites candidate material
- Decision
- Does every claim trace to a source?
- Correction
- Return unsupported claims
03 Structure
- Input
- Approved concepts
- Output
- Ordered learning sequence
- Human
- Sets didactic intent
- System
- Proposes modular structure
- Decision
- Does the sequence serve the learner?
- Correction
- Reframe or reorder
04 Design
- Input
- Learning sequence
- Output
- Experience specification
- Human
- Directs character, interaction and tone
- System
- Maps content to components
- Decision
- Is the experience clear and coherent?
- Correction
- Correct visual or interaction logic
05 Build
- Input
- Experience specification
- Output
- Interactive Learning Nugget
- Human
- Reviews authored result
- System
- Assembles content and interactions
- Decision
- Does the build match the specification?
- Correction
- Return implementation defects
06 Validate
- Input
- Built Nugget
- Output
- Check results
- Human
- Interprets severity and context
- System
- Runs factual, visual, technical and accessibility checks
- Decision
- Are all release conditions met?
- Correction
- Route each failure to its source stage
07 Review
- Input
- Nugget and check results
- Output
- Approved or corrected version
- Human
- Accepts, edits or rejects
- System
- Records version and corrections
- Decision
- Is publication authorized?
- Correction
- Return with explicit correction
08 Publish
- Input
- Authorized Nugget
- Output
- Deployed learning experience
- Human
- Owns release
- System
- Publishes into the environment
- Decision
- Is the deployed result healthy?
- Correction
- Withdraw or roll back
09 Improve
- Input
- Observed use and feedback
- Output
- Next-version decisions
- Human
- Interprets feedback
- System
- Surfaces patterns without replacing judgment
- Decision
- What should change and why?
- Correction
- Preserve the approved version
Five ways the work becomes real.
Each project has one primary area. Its domains, capabilities, format and technical depth remain visible without fragmenting the studio.
Cinematic Worlds & Campaigns
Films, campaigns, visual storytelling and coherent product worlds.
Intelligent Systems & Agentic Workflows
Reviewable workflows, knowledge systems, internal platforms and reusable production pipelines.
Interactive Experiences & AI Characters
Responsive environments, spatial concepts, live formats and characters people can encounter.
Learning Platforms & Capability Transfer
Learning worlds, workshops and tools that let organizations continue building independently.
Research, Simulation & Experimental Technology
Applied research, model evaluation, scientific communication and physically grounded experimentation.
Different contexts. One studio.
The method adapts to the standards, constraints and audiences of each field.
Mobility & Physical AI
Intelligent physical systems must remain credible under real-world conditions, not only in visual prototypes.
- Opportunity
- Connect cinematic communication, simulation and physically grounded AI in one testable environment.
- Proof
- Learning the Invisible translates neural-operator research into an experiential aviation context.
Brands & Cinematic Communication
A striking frame is not enough when identity, product accuracy and narrative must remain coherent at scale.
- Opportunity
- Create the campaign and the visual production system that can continue behind it.
- Proof
- Fizz demonstrates directed generative filmmaking across characters, environments and an entire commercial narrative.
Universities & Institutions
Complex technology must become approachable without sacrificing responsibility, accessibility or institutional control.
- Opportunity
- Build learning environments and workflows that retain expert review and local ownership.
- Proof
- KI-Werkstatt turns approved expert material into reviewable interactive Learning Nuggets.
Science & Simulation
Advanced models create value only when evidence, limitations and decisions remain observable.
- Opportunity
- Translate specialist research into interfaces, simulations and clear experiences for real users.
- Proof
- Beyond Note-Taking preserves examiner judgment while making oral-assessment evidence more transparent.
Field Notes from the Edge of the Possible.
Publications, experiments and lessons from building creative technology in the real world.
01 · Publication
Beyond Note-Taking
A diarization-aware, transparent and privacy-preserving AI assistant for oral examinations.
Published and presented at IEEE EDUCON 202602 · Course & TalkLearning the Invisible
Neural-operator wind prediction translated from mathematical theory to experiential aviation simulation.
Delivered at the CIMPA Summer School and ICAMNS03 · WorkshopThe Craft of the Future
A practical method for building responsible, observable AI-native and agentic workflows.
Delivered through MUC.DAIFrom campaign to capability.
The first release is the beginning. FTL leaves behind the workflows, interfaces, knowledge and training needed to continue.
Reusable interfacesKnowledge layersValidation methodsProduction workflowsDocumentationLearning materialsGovernanceTeam capability
Vision meets engineering.
Matteo Walter and Maximilian Dauner come from two disciplines that rarely share the same production environment: cinematic filmmaking and advanced AI research. FTL brings both into one studio so an ambition can remain creatively authored from idea to implementation.
Matteo Walter
matteo@ftl.visionCo-Founder · Creative Director · Producer
Matteo Walter is a Creative Director and Producer with a Bachelor of Engineering in Audiovisual Media. Across feature films, commercials, music videos, series concepts, brand events and live experiences, he develops projects from first narrative idea through final execution. At FTL, he connects storytelling, filmmaking and emerging production technology to create coherent visual worlds.
Maximilian Dauner
maximilian.dauner@ftl.visionCo-Founder · AI Researcher · Technical Director
Maximilian Dauner is an AI researcher, machine learning engineer and creative technologist with a Master of Science in Computer Science, specializing in Visual Computing and Machine Learning. As a PhD candidate at the Munich Center for Digital Sciences and AI, he takes emerging technologies from research into robust prototypes, interactive applications and complete technical environments. At FTL, he leads AI research and technical development.
Bring us the idea that still feels impossible.
Tell us what you are trying to make possible. We will help identify the right creative, technical and operational starting point.