obvious.

IntelligenceMade Obvious

For enterprise entertainment & media companies.

Production systems built in live, high-context environments

System signals

A serious AI strategy is not a collection of demos. It is a system for making better decisions repeatedly, with context and accountability.

01Shared evidence recordContext stays attached to source
04Connected operating layersUnderstand · decide · act · learn
HITLHuman accountabilityApproval remains explicit
Compounding institutional memoryEvery outcome improves the next decision
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
03 / Applied AI labSource-grounded intelligence

Kill Bill / evidence retrieval

Retrieve the evidence.
Then make the decision.

This prototype combines dialogue, visual detection and semantic retrieval into a source-grounded working context. It shows the difference between a plausible answer and an answer users can inspect.

OBJECT PASS / FRAME 000owlvit-base-patch32 / 6 FPS
00:23:48:00SOURCE 1428–1432S / 0 RECORDED DETECTIONS
01

Grounded before generated

Every creative suggestion resolves to the source, timestamp and evidence that supports it.

02

Multimodal by default

Dialogue, picture, movement, identity, sound and story are evaluated together—not as disconnected tags.

03

Editable by humans

AI creates a strong first structure. Editors, marketers and rights holders control the final meaning.

04 / Selected evidenceSystems in production

AI strategy is proven
when systems ship.

The work below was built in entertainment—a high-context environment where rights, permissions, people, timing and outcomes are inseparable. The operating patterns transfer; the proof remains specific.

John Wick: Ballerina poster
CASE / FILMLIONSGATE

John Wick universe / Ballerina

Turn fandom into a
#1 release.

10K+ creators put Ballerina into the conversation. The release ranked #1 on Rotten Tomatoes and in video-on-demand sales.

10K+creators activated
Lowcost / minute of footage
#1Rotten Tomatoes
#1video-on-demand sales
Campaign output and rankings are reported release-period results; no single-cause attribution is implied.
Michael movie posterMICHAEL / FILM + MUSIC
CASE / MOVIE + CATALOGATTENTION ENGINE × FANEDIT

Michael movie case study

One system turned footage and songs into creator-ready edits.

Obvious analyzed the full movie, Michael Jackson's wider visual archive and 20 top songs, then combined that understanding into an AI edit-creation tool built for creators.

  1. 01
    Built the content library

    Selected movie moments and analyzed every frame alongside performances, music videos and online content.

  2. 02
    Built the song library

    Mapped hooks, drops, tempos, chorus peaks, transitions and reusable formats across 20 songs.

  3. 03
    Gave creators the tool

    Synced source moments to song vibe and beat timing for immediate, creator-ready edits.

CAMPAIGN OUTPUT / REPORTED300M

views generated from thousands of Michael Jackson edits posted online.

Full movie
analyzed
20 songs
mapped
One tool
creator-ready
MICHAEL MOVIEBOX OFFICE PROOF
All-time music biopic#1$934M worldwide, passing Bohemian Rhapsody
Global opening$217MRecord music-biopic launch
Domestic biopic#1$363M North America
Audience score97%25K+ verified ratings
Trailer launch116MViews in 24 hours
MICHAEL MUSICCATALOG PROOF
Billie Jean#1Global 200 + Spotify Global, 40+ years later
Artist 100#1First time ever
Spotify listeners+40MRoughly +65%, 62M to 102M
Top 60 songs1.21B+160%, up from 467M plays
Hot 100 songs6Charting at once
Results reported in the Attention Engine × FanEdit case-study deck. Campaign output, theatrical performance and catalog lift are presented as separate measurements—not as a single-cause attribution. Deck sources: The Numbers, Billboard, Chartmetric, Deadline and Pitchfork.
LIVE / CREATOR GRAPH
FANEDIT COMMUNITYJohn Wick
STYLE · PARTICIPATION · IMPACT

Fandom as a discoverable talent market

FanEdit communities make edits, creators, formats and participation visible before a campaign begins.

Browse communities
CLIENT SYSTEM / ALWAYS-ON SOCIALMillions of views

Revive a legacy TV brand, always on.

Obvious analyzed a legacy Tremendous Entertainment TV catalog and ran an always-on, automated social system across YouTube, TikTok and Instagram—bringing millions of views to a revived audience.

CREATOR GROWTH / ONLINE GAMING
10× vs paid ads creator performance

Find the right creators. Multiply performance.

AI found and engaged creators, helped shape their content and monitored every result—creating a cost-efficient campaign and bringing sustained attention to the rebet brand.

05 / Security & privacyPre-release IP protection

Sensitive releases, governed at scale

Keep the unreleased private.

Pre-release material stays in a permissioned working environment. Across creator-scale campaigns, people receive only approved, role-specific assets; human approval gates control what publishes, to whom and when.

Controlled release Zero reported security issues
  1. 01Source
  2. 02Access
  3. 03Approved asset
  4. 04Release window

Permissions and timing stay attached to every release.

01SOURCE / PROTECTED

Contained source

Sensitive source material stays inside the permissioned environment.

02ACCESS / SCOPED

Scoped creator access

Creators receive approved assets for their role—not unrestricted source.

03RELEASE / APPROVED

Release control

Human approvals define what can publish, who receives it and when.

The operating principle

AI should expand
accountable judgment.

Obvious is built around a disciplined division of labor. Machines carry the scale of seeing, organizing, retrieving, comparing and producing. People retain authority over material decisions, exceptions, risk and final approval.

Start a conversation
AI carriesPeople decide
Evidence retrieval at scaleWhat matters in the decision
Pattern detection and synthesisMateriality and exceptions
First drafts and bounded actionsAuthority, risk and approval
Evidence and outcome memoryGovernance and next action
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.