IntelligenceMade Obvious
For enterprise entertainment & media companies.
Just a few of the IP, projects and artists we've worked with














Obvious connects the public internet, your media library and fandom behavior into one AI-native intelligence layer—showing what is moving, why it resonates and where to act next.
From source to verified attention.
Footage becomes searchable intelligence.
Find creators who naturally fit the audience.
Turn context into an editable, directed cut.
Launch, verify attention, retain the learning.
Every release makes the next decision better.
Attention Engine carries the campaign from creator activation through distribution, verification, and learning.
The product architecture.
Find creators already fluent in cinematic action edits
CULTURAL FIT / VISIBLE
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04fanedit.com
The creator graph.
Find the people who already speak the language of your audience.
- 17K+
- edits
- 9.9K+
- creators
- 38.1B+
- global views
VibeEdit.com
Direct the whole edit.
Turn creative context into an editable film—not a disposable generation.
- 130+
- specialist skills
- 4
- creative roles
- 1
- shared context
ATTENTION ENGINE
Run creator distribution as a measurable system.
Plan creator waves, package approved content, verify attention, and learn from every release—all in one accountable campaign operation.
Visit Attention EngineExperienced operators. Applied AI.
The team behind the system.
Former executives from Nike, Sony, Fanatics and Meta work alongside an award-winning AI researcher, active since 2017, to shape every Obvious system.
AI research since 2017
Executive experience
Former leaders across Nike, Sony, Fanatics and Meta bring media, brand, product and platform judgment.
Research leadership
An award-winning AI researcher, active since 2017, helps define the intelligence behind the system.
One accountable team
Strategy, research and delivery stay connected from the first decision to live operation.
Questions / answers
What enterprise teams ask first.
What is Obvious?
Obvious is a portfolio of AI systems and an operating point of view: make evidence usable, preserve context, keep controls explicit and design each workflow to improve the next one. The systems were proven in entertainment, where assets, rights, timing, cultural context and outcomes must move together.
What does an AI operating system mean in practice?
It means connecting the source, the relevant context, the permissible action, the human decision and the outcome in one working loop. Obvious expresses that model through four connected products—not a chat surface detached from the work.
How is this different from a generic AI assistant?
The systems work from structured evidence, explicit permissions and durable workflow state—not only an open-ended prompt. Human teams retain authority over material decisions, approvals, exceptions and publication.
Can the approach work in a regulated enterprise?
The underlying design principles are deliberately relevant to high-trust environments: source-grounded outputs, clear roles, permission-aware actions, inspectable decisions and feedback loops. Any regulated deployment still requires the institution's own risk, privacy, security and compliance governance.
Where does transformation begin?
With one consequential workflow: map the evidence and decision points, define the controls, build a usable experience, measure the outcome and turn the learning into reusable institutional capability.
Make your content library AI-native
Turn every asset into
your #1 attention driver.
Connect every scene, cut, clip and audience signal to create faster, more relevant work—while keeping rights, approvals and human judgment in the loop.