See the company. Improve the decision rhythm.
Shugyo connects company context, a business-shaped ontology, operational signals, decisions, and action. Evidence remains traceable, and the model changes with the business.
Built around the way your organization works.
Adaptability
The digital twin changes with your organization, so a restructure does not require a new schema or migration project.
Complexity
Organizations use multiple systems and often define the same term differently. Shugyo reconciles those differences without flattening useful detail.
Scale
The same architecture supports a 50-person company or a 5,000-person enterprise without a rewrite.
The system has four connected layers.
Integration supplies source data. The ontology gives that data meaning, the twin records its current state, and the presentation layer makes it usable for action.
If one layer is missing, the results become unreliable.
Connect your existing systems without moving the data.
Your data stays in the ERP, CRM, databases, spreadsheets, and project tools you already use. Shugyo connects to those systems where they are.
- Enterprise systems: ERP, CRM, HRIS
- Databases: PostgreSQL, MySQL, BigQuery
- Business tools: Salesforce, HubSpot, Jira
- Custom APIs and internal systems
- Bi-directional sync with configurable frequency
- Data validation and quality checks
- Shugyo maps to your schema without a migration
- Clear audit trail of every data movement
Shugyo creates one consistent data layer across connected systems.
Each metric includes its source.
The structured vocabulary that defines your organization.
AI needs a clear model of your business. The ontology defines which objects exist, how they relate, and how they move through each process.
| Element | Description | Example |
|---|---|---|
| Entities | The things that exist in your organization | Invoice, Client, Employee, Project |
| Attributes | Properties of each object | Amount, status, due date, owner |
| Relationships | How objects connect | Invoice belongs to Client, assigned to Employee |
| Processes | How objects move through states | Draft to verified to sent to paid |
- AI reviews schemas, sample data, and existing documentation
- It proposes the objects and relationships in the model
- You review the model and apply your domain knowledge
- Shugyo builds the knowledge graph from the approved ontology
- A shared vocabulary for your data and AI
- Consistent definitions across different systems
- Automatic updates after each sync
- Defined inputs for KPIs, analysis, and AI capabilities
A living model of your organization.
The ontology defines the structure. The digital twin fills it with current data about the objects, relationships, and events in your organization.
The digital twin records what happened without adding interpretation.
See the business through the processes you define.
The presentation layer turns digital-twin data into views built around the questions your team needs to answer.
A lens defines which part of the organization to view and how to measure it.
| Lens type | What it measures | Example |
|---|---|---|
| Flow process | Objects moving through states | Invoice: draft to verified to paid |
| Activity process | Aggregated activities + correlation | Meetings compared with sales conversion |
| Goal-based process | Defined target + metrics + horizon | Increase retention by 10% in Q2 |
- Describe what you want to measure in business language
- AI proposes a calculation method and query
- See results on real data
- Approve or iterate
Business users can define a KPI and inspect the calculation behind each number.
Use the model to spot issues and act.
The action layer uses the ontology and current company data to answer questions and guide action. Each result can be traced to its source.
Anomaly detection
Get notified when a metric moves outside its expected range.
Predictive insights
Model "what if" scenarios before committing resources.
Process recommendations
Recommendations use measured bottleneck data.
Natural language queries
Ask for invoices stuck in verification for more than five days and get the matching records.
Alerts & notifications
Receive alerts for the metrics and events you choose.
General AI tools do not know how your company defines its objects and processes. Shugyo supplies that context from the ontology and knowledge graph.
- The ontology supplies your organization's vocabulary
- The knowledge graph supplies the current state of the organization
- Each answer can be traced to source data
- Each answer includes reasoning you can inspect and question
How Shugyo connects your systems.
Shugyo cleans and maps source data before storing it in the digital twin. Process views and the AI assistant use the same model.
Measure each process according to how it works.
Flow process
Track objects moving through defined states.
Invoice counts by stage, time in stage, and handling time by owner.
Activity process
Correlate activities with outcomes.
The relationship between client engagement, revenue, and specific sales activities.
Goal-based process
Set targets and track progress.
Progress against the target, including drivers and blockers.
Security controls for enterprise deployment.
Data security
- SOC 2 Type II in progress
- Encrypted at rest and in transit
- Regular audits & penetration testing
Access control
- SSO support (SAML, OIDC)
- Role-based access control
- Audit logs for all data access
Data privacy
- Your data stays yours
- Clear data processing agreements
- GDPR-compliant data handling
Deployment options
- Cloud, managed by Shugyo.ai
- Private cloud in your infrastructure
- Hybrid with sensitive data on premises
A typical rollout, week by week.
Discovery
- Understand your systems and data sources
- Identify the first processes and metrics
- Plan integration approach
Integration
- Connect data sources
- Build the data layer
- Validate data quality
Ontology
- AI-proposed organization model
- Your review and refinement
- Knowledge graph construction
Activation
- Define initial lenses and KPIs
- Train users
- Go live with monitoring
Evolution
- Add new data sources
- Refine ontology as you change
- Build new processes and KPIs
Technical stack and performance targets.
| Component | Technology | Notes |
|---|---|---|
| Supported ingestion | Airbyte | Optional path with 300+ connectors |
| Supported transformation | dbt | Optional, version-controlled, tested |
| Supported warehouse | BigQuery | Used when the evidence path requires it |
| Graph database | Neo4j | ACID compliant and optimized for graph queries |
| AI / LLM | OpenAI / Anthropic | Supports multiple model providers |
| API | REST + GraphQL | Programmatic access to Shugyo data |
See how work moves through your organization.
Shugyo combines the four layers into a model you can trace to source data and use to understand day-to-day operations.