Model & Compute Plane
01Open data services and portable ML, LLM, and neural workloads
Enterprise dependency
Data · Models · Accelerators
Platform assurance
Governed Model Services
yebo®Governed intelligence for absolute clarity
Turn raw operational signals into governed decisions at enterprise scale
Unify fragmented data, intelligence, and workflows within one controlled operating layer—so every decision is explainable, every action is policy-bound, and every outcome is auditable.
01 // GOVERNED OPERATING MODEL
One governed loop from signal to action
Connect enterprise systems, transform live data into operational context, and orchestrate decisions back into the business. Yebo embeds monitoring, policy enforcement, and auditability across every stage—giving teams the speed to automate without surrendering control.
YEBO // OPERATING ARCHITECTURE08 OPERATIONS · 03 CONTROL PLANES
Operational flow // 01–08
01
01 // SYSTEMS
Sources
Legacy ERPs, SaaS APIs, IoT telemetry, and CRM and financial records — the systems you already run.
02
02 // DATA
Ingestion
Pulls raw records and event streams in through encrypted, credential-vaulted connectors.
03
03 // DATA
Normalization
Reconciles inconsistent formats and units into one common shape.
04
04 // ONTOLOGY
Ontology
Maps normalized data onto unified domain entities and relationships.
05
05 // ONTOLOGY
Knowledge Graph
Connects every entity into one governed source of truth and live Digital Twin state.
06
06 // LOGIC
AI Orchestration
Routes governed models against the graph under policy, with full traceability.
07
07 // DECISION
Decision Engine
Turns scored model outputs into ranked, explainable recommendations.
08
08 // ACTION
Workflow Execution
Acts on approved decisions across your connected systems.
Platform-wide control planes // 09–11
09
09 // OBSERVE
Monitoring
Tracks model behaviour and data health across every layer.
10
10 // CONTROL
Governance
Enforces policy and human-oversight checkpoints on every decision.
11
11 // EVIDENCE
Audit
Keeps an immutable trail and compliance evidence for everything that ran.
02 // DEPLOYMENT & SCALE
Built to fit the enterprise. Designed to expand.
Yebo separates data, control, security, interoperability, observability, and runtime concerns into six independently scalable domains. Start inside the environment you already operate, meet its security and deployment constraints, and expand without redesigning the platform underneath every new mission.
YEBO // ENTERPRISE FOUNDATION
Separate concerns. Scale independently. Govern centrally.
06 DEPLOYMENT DOMAINS
Control & Policy Plane
02Central policy, release, and workload control
Enterprise dependency
Policies · Approvals · Config
Platform assurance
Enforced Runtime State
Identity & Security Mesh
03Granular access, isolation, and encryption everywhere
Enterprise dependency
Identity · Classification
Platform assurance
Authorized Access
Interoperability Fabric
04Open interfaces across existing data, AI, and workflow systems
Enterprise dependency
APIs · SQL · Events · MCP
Platform assurance
Portable Services
Observability & Evidence
05Health, lineage, telemetry, and audit evidence across the estate
Enterprise dependency
Logs · Lineage · Evals
Platform assurance
Operational Evidence
Deployment & Runtime
06Cloud, dedicated, on-premise, or air-gapped operations
Enterprise dependency
Builds · Images · Environments
Platform assurance
Resilient Deployments
OPEN
Connect the existing estate
PORTABLE
Run where the mission requires
RESILIENT
Scale without redesign
03 // MODEL & RUNTIME FLEXIBILITY
Your models. Your infrastructure. One governed runtime.
Configure, fine-tune, and operate classical ML, large language models, and custom neural networks across local servers, private infrastructure, public cloud, or hybrid and air-gapped environments—without rebuilding the governance layer.
YEBO // MODEL-RUNTIME FABRIC
Customize the intelligence. Choose where it runs.
Model-agnostic runtime
Model capability
Build for the decision
M01Classical machine learning
Forecasting, scoring, optimization, and anomaly detection
M02Large language models
Domain-adapted assistants, agents, retrieval, and reasoning
M03Custom neural networks
Purpose-built architectures for vision, signals, and specialized workloads
Configure
Fine-tune
Evaluate
governed portability
Deployment target
Run where the mission requires
Local / on-premise
Operate beside sensitive data and existing infrastructure
Private cloud
Dedicated tenant and network-isolated deployment
Public cloud
Elastic compute on the enterprise cloud of choice
Hybrid / air-gapped
Coordinate mixed estates or operate without external dependencies
Supports CPU, GPU, and accelerator-backed workloads based on model and latency requirements.
ONE POLICY MODEL
Consistent controls across every model class
ONE EVIDENCE TRAIL
Trace data, versions, evaluations, and decisions
NO INFRASTRUCTURE LOCK-IN
Move workloads without rewriting governance
04 // ENTERPRISE ADOPTION
Start with one decision. Scale into an operating advantage.
Yebo lands alongside your core systems and proves value inside a bounded workflow. Once the outcome, controls, and economics are validated, the same governed foundation expands across teams, data domains, and missions.
YEBO // ADOPTION PATH
A controlled path from first workflow to enterprise-wide reuse
No rip-and-replace
01
LAND
Bound the first decision
Select a high-value workflow, connect only the required systems, and define the inputs, actions, owners, and policy boundary before anything executes.
Priority workflow connected
02
PROVE
Validate value and control
Run alongside current operations, measure decision quality and cycle time, and verify human oversight, lineage, security, and audit evidence with stakeholders.
Business and risk case proven
03
SCALE
Reuse the governed foundation
Promote the workflow into production, then reuse connectors, context, controls, and deployment patterns across new teams and operational domains.
Expansion without redesign
MEASURABLE GATES
Advance on evidence, not assumptions
CORE SYSTEMS STAY IN PLACE
Integrate before considering migration
FOUNDATION COMPOUNDS
Every deployment lowers the cost of the next
05 // ENTERPRISE ASSURANCE
Control the risk without slowing the mission
Yebo turns security and governance requirements into runtime controls—not slideware. Identity, isolation, model oversight, lineage, policy enforcement, and audit evidence travel with every workload from pilot to production.
YEBO // ASSURANCE CONTROL PLANE
Every production workload carries its controls with it.
Policies follow data, models, actions, and deployments—so teams can move quickly inside boundaries that security and risk leaders can verify.
Enforcement active
Security boundary
Protect access and execution
Establish who can access each asset, where workloads can run, and how data remains isolated and encrypted.
S01Identity and access control
S02Immutable audit logging
S03Data isolation by tenant
S04Encryption at rest and in transit
S05Model sandboxing
S06Least-privilege data access per model
S07Encrypted connectors
S08Credential vaulting
S09Post-quantum cryptography roadmap
S10Secure communications
S11Encryption
S12Identity and access management
S13Zero-trust architecture
S14Isolated execution sandboxes
Governance logic
Control decisions and change
Define what may execute, when human approval is required, and which evidence must be retained for review.
G01Human oversight checkpoints
G02Model risk classification
G03Change management
G04Data lineage tracking
G05Consent enforcement
G06Retention policy
G07Model inventory
G08Explainability requirements
G09Human-in-the-loop routing
G10Source system data lineage
G11Integration change log
G12Incident response process
G13Deployment isolation by environment
G14Continuous telemetry audit
G15Deterministic policy enforcement
BOUNDARIES
Defined once
Identity, isolation, and deployment rules
ENFORCEMENT
Applied at runtime
Policies govern every model and action
EVIDENCE
Ready for review
Lineage, decisions, and change remain traceable
06 // TECHNICAL RESOURCES
Go deeper before you commit
For architects and risk teams who need to verify. Read any of these, or see them all in Resources.
Whitepaper
How Yebo OS turns fragmented systems into governed, audited decisions — the problem, the approach, the pipeline, and how to evaluate it.
Security overview
How identity, encryption, isolation, and oversight work end-to-end across Yebo OS — with a mapping to the frameworks enterprise reviewers expect.
Data-flow diagram
The path your data takes through Yebo OS at each stage, the trust boundary around the OS, and the deployment options that control where it sits.
API reference
How your engineers connect to Yebo OS — the integration model, auth approach, and resource concepts. A high-level overview; full per-tenant endpoint docs are provided at onboarding.
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