obvious.

IntelligenceMade Obvious

For enterprise entertainment & media companies.

Just a few of the IP, projects and artists we've worked with

Content intelligence infrastructure

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.

01Map the attention landscapeInternet, creator & fandom signals
02Understand every media assetScenes, moments, formats & timing
03Match content to its fandomAudience context meets media intelligence
04Turn organic attention into momentumAI-guided action · measurable word of mouth
01 / The Obvious systemFour connected products

From source to verified attention.

FootageCreatorsCutAttentionMemory
01

Understand

Myriograph

myriograph.com

Footage becomes searchable intelligence.

02

Match

FanEdit

fanedit.com

Find creators who naturally fit the audience.

03

Create

VibeEdit

vibeedit.com

Turn context into an editable, directed cut.

04

Release & learn

Attention Engine

attentionengine.ai

Launch, verify attention, retain the learning.

Shared memory

Every release makes the next decision better.

SOURCESCONTEXTPERMISSIONSDECISIONSOUTCOMES

Attention Engine carries the campaign from creator activation through distribution, verification, and learning.

02 / Production architectureBuilt as a connected portfolio

The product architecture.

P / 01 Analysis system
Myriograph

See the whole video.

Footage, made usable.

Visit Myriograph
FRAMESHOTSCENESTORY
PACKAGE / READYEvidence stays attached to source time.
01
02
03
04
CREATOR FITAudience × Style × Reliability
P / 02 Creator system

fanedit.com

The creator graph.

Find the people who already speak the language of your audience.

17K+
edits
9.9K+
creators
38.1B+
global views
Enter FanEdit
P / 03 Creative system

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
Explore VibeEdit.com
P / 04 Campaign & distribution system

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 Engine
06 / Leadership teamThe team behind the system

Experienced 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.

Formerly at
NikeSonyFanaticsMeta

AI research since 2017

01

Executive experience

Former leaders across Nike, Sony, Fanatics and Meta bring media, brand, product and platform judgment.

02

Research leadership

An award-winning AI researcher, active since 2017, helps define the intelligence behind the system.

03

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.