Signal
Capture the signals that matter
Bring consumer behavior, market events, operational inputs, and audience interactions into one decision-ready architecture.
OneSource AI
Decision infrastructure for growth and markets.
OneSource AI connects signals, models, decisions, execution, and learning across enterprise growth, market intelligence, and AI-native distribution.
OmniROI — Marketing Decision OSCrystalQuant — Market & Evidence IntelligenceNova — AI Execution & Distribution PlatformAttentionOS / OneAI — Shared Platform Layer
Signal → Model → Decision → Execution → Feedback
System illustration
Signal, decision, execution, and growth in one visual system
Model
Turn raw inputs into structured intelligence
Use proprietary frameworks, scenario logic, and evidence models to explain what the signals mean.
Decision
Create decisions teams can defend
Produce comparable, explainable, approval-ready decision objects across marketing and market intelligence use cases.
Execution
Make strategy visible and operational
Nova turns approved intent into AI-native presence, content, channel activity, and audience engagement.
Feedback
Learn from outcomes
Track business outcomes, market response, audience behavior, and model quality so each cycle gets sharper.
The real challenges
Enterprise growth and market teams face the same broken path from signal to action.
There is more data, more AI output, and more dashboards than ever. The missing piece is still a governed system that turns evidence into decisions and decisions into execution.
Signals are fragmented
Marketing, commerce, market, and operational signals sit across disconnected platforms, making one decision view hard to build.
Analysis stops before action
Reports and copilots summarize faster, but they rarely compare options, expose trade-offs, or produce a decision artifact.
Decisions lack governance
High-stakes recommendations still depend on expert judgment without enough lineage, approval structure, or auditable records.
Execution loses the strategy
Even good decisions break down when content, distribution, customer touchpoints, and feedback live in separate systems.
Why existing tools fall short
Point tools optimize tasks. OneSource AI builds the decision system.
The category gap is not another AI feature. It is infrastructure that connects signals, models, decisions, execution, and learning.
Category
What they do
Limitation
Dashboards & BI
Show what happened
Stop before decision ownership
AI Copilots
Summarize faster
No governed decision trail
Research & commentary
Explain markets and trends
Often disconnected from model workflow and execution
Content AI tools
Generate assets
Do not own decision quality or feedback
What's different
OneSource AI
AI Decision + Execution Infrastructure
Signals + models + decisions + execution + feedback
Marketing decision
OmniROITurns real consumer evidence into auditable marketing and commerce decisions
Market intelligence
CrystalQuantTransforms market and evidence signals into structured research and model intelligence
Execution
NovaTurns strategy into AI-native interfaces, content, distribution, and audience interaction
Shared platform
AttentionOS / OneAIProvides governance, orchestration, traceability, and feedback loops across business units
How it works
Signal → Model → Decision → Execution → Feedback
OneSource AI is organized around one repeatable operating logic: capture signals, structure models, generate decisions, execute through AI-native surfaces, and learn from outcomes.
01 Signal Layer
Signal
Capture observed reality
Consumer behavior, market events, channel activity, operational inputs, and audience interactions enter the system.
02 Model Layer
Model
Structure what the signals mean
Frameworks, regime maps, scenario logic, agent outputs, and evidence models turn raw inputs into reusable intelligence.
03 Decision Layer
Decision
Create explainable action paths
Decision briefs, scenario packs, recommendations, watchlists, and approval surfaces make choices comparable and auditable.
04 Execution / Interface Layer
Execution
Operationalize the decision
Reports, alerts, workflows, AI Hosts, content, and distribution channels move decisions into the real world.
05 Feedback Layer
Feedback
Improve the next cycle
Outcomes, market response, audience behavior, forecast accuracy, and execution quality flow back into the system.
Core products
Three products. One decision-to-execution system.
OmniROI decides for marketing. CrystalQuant turns market and evidence signals into structured intelligence. Nova makes those systems visible, scalable, and executable.
Core Product 01
OmniROI
Marketing Decision OSTurn real consumer evidence into investment decisions you can defend — with scenarios, trade-offs, and approval-ready recommendations.
- Evidence-backed budget and channel decisions
- Scenario comparison and ROI simulation
- Approval-ready decision packs for leadership
Core Product 02
CrystalQuant
Market & Evidence Intelligence PlatformUse proprietary decision frameworks to translate macro transmission and behavior-based evidence into structured market intelligence for institutions and corporate risk teams.
- Transmission and evidence intelligence frameworks
- Scenario maps, watchlists, and pre-earnings views
- Research support with clear compliance boundaries
Core Product 03
Nova
AI Host Media & Distribution PlatformTurn strategy into scalable AI-native media presence through Mira, Rei, and Luna — three vertical AI Host media brands for Japan-first audiences.
- Mira — B2B business and marketing media Host
- Rei — Tokyo finance insight media Host
- Luna — B2C lifestyle and beauty media Host
Platform advantage
A shared platform beneath all three business units.
AttentionOS / OneAI and ProofPack provide the shared primitives that make decisions traceable, governed, and reusable across growth, market intelligence, and execution.
Signal Layer
Ingest observed data, events, qualitative evidence, behavior signals, and user interactions.
Model Layer
Turn signals into frameworks, regime maps, simulations, agent outputs, and reusable model logic.
Decision Layer
Produce decision objects, scenarios, recommendations, approval surfaces, and explainable action paths.
Execution / Interface Layer
Move decisions into reports, alerts, workflows, AI Hosts, content, distribution, and user-facing interfaces.
Feedback Layer
Measure outcomes, market response, audience behavior, model quality, and execution effectiveness.
Who it's for
For teams that need better decisions before better execution.
Start with the business decision that matters most: marketing investment, client strategy, customer conversion, market intelligence, or corporate risk exposure.
Brands
Make budget, creative, and channel decisions with evidence that leadership can trust — not just platform metrics.
View solution →
Agencies
Deliver client recommendations backed by real evidence, clear trade-offs, and defensible rationale.
View solution →
E-commerce Platforms
See where customers drop off, which paths drive conversion, and where to invest next.
View solution →
Research & Consulting
Move from static reports to auditable, decision-ready intelligence your clients can act on.
View solution →
Investment Institutions
Organize macro transmission, evidence signals, scenario maps, and pre-earnings views into decision-ready research workflows.
View solution →
Treasury & Risk Teams
Track commodity, FX, rates, liquidity, and operating evidence as structured intelligence for exposure and scenario planning.
View solution →
Next step
See how your next high-stakes decision could work differently.
Tell us the decision you are facing across growth, markets, or execution. We will recommend the right OneSource AI entry point.