PLM
ERP
IoT
Asset Management (EAM/CMMS)
Field Service Management
Local Systems
Harmonize asset data from ERP, CRM, PLM, FSM, legacy & local systems, and other enterprise data sources.
Data Sources
Provides design specs, materials, manufacturing processes, and other product data from initial concept through production.
Provides As-sold/as-built BOMs, serial numbers, pricing & inventory data, shipment information, and other data on the physical asset.
Delivers real-time performance and usage data from connected devices and sensors embedded in products.
Tracks asset condition, maintenance history, and operational status to inform product reliability and lifecycle decisions.
Captures service activity, technician feedback, and repair data from on-site interactions with the product.
Supplies historical or specialized product data stored in traditional or custom-built systems still in use.
Multi Source Data Aggregation
Data Cleansing
& Validation
Vectorization
Asset Data Foundation
Locate and ingest asset data from various sources to create a unified view and reduce systems overhead.
Multi-source Data Aggregation
Transform asset data into structured, machine-readable formats.
Vectorization
Detect, fix, and de-duplicate data using Al to ensure a single source of truth.
Data Cleansing
& Validation
The foundation of clean data that powers asset intelligence across the enterprise.
Asset Data Foundation
Aftermarket
Monetization
Service
Engineering
Service Ops
Asset Maintenance
& Sustainment
AI Canvas
Applications
For asset operators who must maintain complex systems of assets while maximizing uptime, lowering costs, and complying with regulations.
Capabilities:
Unified asset record
Asset scoring
Work order generation
Failure mode tracking
loT ingestion and alerts
Asset Tracking & Timeline/Lifecycle Mgmt
Asset Maintenance & Sustainment
Optimize labor costs & parts inventory, improve workforce utilization, and ensure SLAs.
Capabilities:
Demand Forecasting for resources based on planned and unplanned work
Capacity Planning to ensure workforce availability meets customer need.
Parts planning
Contract / SLA coverage insights
Asset maintenance scores
Service Ops
Equip revenue operations with the tools to increase service & parts revenue, service contract attachment rates, and cross-sell/up-sell targeting & training.
Capabilities:
Installed base segmentation
Service coverage gap analysis
Asset-level profitability insights
Asset health scores to identify upgrade opportunities
AI-Driven Campaign builder for targeted monetization initiatives
Churn risk detection
Aftermarket Monetization
Build technical information from a single source of truth to minimize asset downtime, improve first-time fix rates, and boost technician efficiency.
Capabilities:
BOM harmonization (As-Built vs As-Maintained)
Maintenance plan definitions
Cost to Service dashboard
Access to as-designed data (PLM, CAD) to create SOPs, SBOMs, and other service artifacts using Al Canvas.
Service Engineering
Enable users across the enterprise to interact with asset data using natural language queries.
AI Canvas
GenAl-powered, user-specific apps, insights, and other interactions with validated asset data.
Applications
PLM
ERP
IoT
Asset Management (EAM/CMMS)
Field Service Management
Local Systems
Harmonize asset data from ERP, CRM, PLM, FSM, legacy & local systems, and other enterprise data sources.
Data Sources
Provides design specs, parts, and all relevant bill-of-material structures that define the final design of an asset.
Provides as-built and/or as-sold bill-of-materials, product configuration, serial numbers, pricing, account location and other data on the physical asset.
Delivers real-time performance and usage data from connected devices and sensors embedded in products.
Tracks asset condition, maintenance history, and operational status to inform product reliability and lifecycle decisions.
Captures activity, technician feedback, warranty and contract entitlements, repair data and all on-site interactions with the product.
Supplies historical and specialized asset data stored in traditional or custom-built systems.
Data Unification
Validation
Ontology
Asset Data Foundation
Asset data pipelines and mappings from various sources used to create a unified asset record.
Data unification
Data source-specific models ready for AI reasoning.
Ontology
Rules-based data cleansing for duplicates for and anomaly detection during unification.
Validation
A trusted and shared data model powering asset intelligence across the enterprise.
Asset Data Foundation
Context
Reasoning
Memory
Agents
In-the-moment awareness of the asset at hand to ground agent actions.
Context
Structured analyses that form and. test hypotheses against connected data to explain what's happened and why.
Reasoning
A persistent record of prior decisions and outcomes, so agents improve with every task.
Memory
AI to help surface patterns from the entire product lifecycle and plan for engineering and service initiatives.
Agents
Design Engineering
Quality Engineering
Service Engineering
Account Management
intelligent apps
Equip revenue operations teams with the tools to increase upsell and cross-sell opportunities and service contract attach rates.
Account Management
Turn engineering data into maintenance strategy and service information that keeps assets running, improves first-time fix rates, and boosts technician efficiency.
Service Engineering
Develop impact analyses for design changes with natural language (NPL) queries and and AI-generated visualizations to guide faster decision-making.
Design Engineering
Interrogate field failure patterns with asset information that links to the exact affected population—build, serial range and configuration.
Quality Engineering
An AI interaction layer for cross-functional teams to use asset data via agents and natural language queries.
Orbit ai Canvas
GenAI-powered, user-specific apps that include, analytics, data enrichment and configurable workflows.
INTELLIGENT APPS
ORBIT AI CANVAS
Build Profitable Products
Ensure Product Quality
Maximize Uptime
Maximize Opportunities
Cross-system actions via MCP
An open standard for agents to act across enterprise systems.
Model Context Protocol
