Enterprise AI, built for decisions that matter.
IntelligenceMade Obvious
Evidence, judgment and action—working as one.
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.
01 / The Obvious systemFour connected products
From source to verified attention.
One context, four products, continuous learning.
Footage→Creators→Cut→Attention→Memory
Understand
Myriograph
Footage becomes searchable intelligence.
Match
FanEdit
Find creators who naturally fit the audience.
Create
VibeEdit.com
Turn context into an editable, directed cut.
Release & learn
Attention Engine
Launch, verify attention, retain the learning.
Shared memory
Every release makes the next decision better.
SOURCESCONTEXTPERMISSIONSDECISIONSOUTCOMES
Moments is the managed campaign layer powered by this system.
02 / Production architectureBuilt as a connected portfolio
The product architecture.
A connected portfolio, built to compound.
MyriographSee the whole video.
Frame to story.
Footage, made usable.
Visit MyriographFRAMESHOTSCENESTORY
PACKAGE / READYEvidence stays attached to source time.
⌕
Find creators already fluent in cinematic action edits
CULTURAL FIT / VISIBLE01020304CREATOR FITAudience × Style × Reliability
fanedit.com
The creator graph.
Culture, made legible.
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.
Every frame, in context.
Turn creative context into an editable film—not a disposable generation.
- 130+
- specialist skills
- 4
- creative roles
- 1
- shared context
ATTENTION ENGINE
Make attention measurable.
Every rule, visible.
Launch with proof—and learn from every outcome.
Visit Attention EngineMOMENTS
Your moments, scaled.
The managed campaign layer powered by Attention Engine. Moments packages approved content into creator-ready formats, operates distribution and returns the signals that should change the next brief.
- 01 Creator network outreach & management
- 02 Content optimization & format strategy
- 03 Multi-platform distribution
- 04 Real-time reporting & learning
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
Grounded before generated
Every creative suggestion resolves to the source, timestamp and evidence that supports it.
Multimodal by default
Dialogue, picture, movement, identity, sound and story are evaluated together—not as disconnected tags.
Editable by humans
AI creates a strong first structure. Editors, marketers and rights holders control the final meaning.
04 / Selected evidenceSystems in production
The strongest AI strategy is visible in the systems that 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 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
MICHAEL / FILM + MUSICMichael 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.
- 01Built the content library
Selected movie moments and analyzed every frame alongside performances, music videos and online content.
- 02Built the song library
Mapped hooks, drops, tempos, chorus peaks, transitions and reusable formats across 20 songs.
- 03Gave 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
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
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
Find the duel, monologue or needle drop.Whole-film semantic retrieval
A five-part Kill Bill index connects natural-language and image-based discovery to previewable, adjustable source windows.
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 communitiesRevive 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.
10× vs paid ads2× 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.
- 01Source
- 02Access
- 03Approved asset
- 04Release window
Permissions and timing stay attached to every release.
Contained source
Sensitive source material stays inside the permissioned environment.
Scoped creator access
Creators receive approved assets for their role—not unrestricted source.
Release control
Human approvals define what can publish, who receives it and when.
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
NikeSonyFanatics
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, with Moments as the managed campaign layer—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.
AI that compounds institutional advantage
Build AI capability
that earns trust.
A practical portfolio for leaders building systems that turn fragmented information into better, governed decisions—and make that capability compound over time.