Discovery / Sandbox
Initial architecture and data-readiness evaluation.
- Demo environment
- Use-case selection
- Integration map
- PoC proposal
L.O.S.E.V.A™ SaaS Product Releases
Personalized cross-system optimization
for companies that are never identical
L.O.S.E.V.A™ HMCDIEO is not a fixed, one-size-fits-all optimization package. Every company has different production logic, budgets, risks, systems, people, constraints and business targets. We keep the protected core methods and algorithms as the baseline, then configure the runtime and add the modules required for each customer.
Our approach: diagnose the problem first, estimate operational size and complexity, define measurable goals, connect the available systems, configure the core algorithm and activate only the modules needed for that business.
Operational Release Interface
Industrial Runtime Intelligence Command Center
Executive overview, live operations, predictive intelligence, sustainability, governance, compliance and risk monitoring in one enterprise dashboard.
Validated Integration Path · Siemens Xcelerator
Building X Openness API Sandbox access accepted
LosV°IT Industry 1:1 received accepted sandbox access for the Siemens Building X Openness APIs. We selected this environment to test an enterprise-grade connection between building systems, operational data, digital twins, L.O.S.E.V.A™ optimization and POLx°IMAT robotic services.
Why Siemens Xcelerator
A globally recognized industrial ecosystem with APIs, connected hardware, building data and enterprise deployment pathways. It gives our PoCs a realistic environment instead of an isolated laboratory demo.
What we test during PoCs
Authentication, asset discovery, telemetry mapping, alarms, energy and carbon signals, digital-twin synchronization, latency, data quality, role permissions and human approval loops.
After integration
Configured optimization releases for buildings, factories, hospitals and facilities: dashboards, predictive workflows, energy optimization, robotic task dispatch and auditable operational recommendations.
Commercial purpose
Develop fusion products that can be offered to eligible customers through partner and OEM channels: Siemens-connected L.O.S.E.V.A™ software modules, POLx°IMAT RaaS packages and complete cyber-physical deployments.
Fusion Product Roadmap
From connected hardware to human–machine interpolation
Siemens-connected infrastructure becomes more useful when operational signals are translated into safe, measurable actions. L.O.S.E.V.A™ provides the cognitive optimization layer; POLx°IMAT provides modular physical execution.
Siemens Hardware & APIsBuilding X, devices, sensors, controls and enterprise data
→
L.O.S.E.V.A™ HCMOL™Interpret signals, model constraints, optimize decisions and preserve human control
→
Digital Twin & PoCSimulate, validate KPIs, safety and commercial value before rollout
→
POLx°IMAT ExecutionRobots, RaaS, facility services and adaptive modules
POLx°IMAT Robots Marketplace · ONE BASE
One mobility base. Configurable modules. Multiple commercial purposes.
The ONE BASE concept reduces duplicate engineering. A customer selects one certified mobility and runtime platform, then adds shells, tools, sensors and software modules according to the operation.
Select the base
Indoor, outdoor, clean-room, heavy-duty or human-centric mobility platform.
Add perception
LiDAR, cameras, thermal sensing, RFID, environment sensors or medical-safe sensing.
Add the work module
Locker, tray, manipulator, cleaning scoop, high-reach mast, security, medical or hospitality module.
Configure L.O.S.E.V.A™
Map customer processes, constraints, roles, KPIs, HCMOL™ interaction and digital-twin scenarios.
Deploy and evolve
Start with one purpose, then exchange modules instead of replacing the entire robot.
Interactive ONE BASE Modular Demonstration Studio
Configure one robot platform for multiple environments
Choose the environment, style, modules and mission. The HMC Operation Layer updates route, runtime, payload, autonomy and deployment value in real time.
DRAG MODULES
Build the robot body
ONE BASE MODULAR ASSEMBLY
Drag complete modules into the three full-size body positions
FULL ROBOT HEIGHT
010203BASE
01
Display / supply module
02
Service / linen module
03
Equipment / payload module
ONE BASEMobility · energy · sensors · safety
ONE BASE remains fixed while body modules are changed.
ONE BASE modular MedTech robot
Drag up to three modules onto the fixed mobility platform.
L.O.S.E.V.A™ Interactive Architecture
One Runtime · Multiple Business Layers
L.O.S.E.V.A™ connects enterprise systems, digital twins, edge runtime, human decision intelligence and POLx°IMAT robotics in one cross-system optimization architecture.
Enterprise Systems
ERP · MES · SCADA · PLCOperational and business data sources.
Edge Runtime
WebAssembly · ROS2 · FPGALow-latency execution close to machines and robots.
L.O.S.E.V.A™ Core
HCMOL™ · HMCDIEOHuman–machine cognitive orchestration and decision intelligence.
Digital Twins
Simulation · KPI · ForecastScenario testing before physical deployment.
POLx°IMAT Robotics
ONE BASE · Modular FunctionsOne reusable base, interchangeable shells, tools and service modules.
Governance
Human approval · Audit · SafetyTraceable decisions, constraints and supervised autonomy.
Personal assessment before configuration
The first phase is a structured assessment. It determines the scope of the optimization problem before deployment, pricing or automation decisions are made.
01 · Process SizeNumber of lines, sites, machines, operators, systems, products and decision points.
02 · ComplexityDependencies, constraints, bottlenecks, process variability, quality risks and safety requirements.
03 · Budget StructureCAPEX, OPEX, energy, materials, labor, maintenance, penalties and target ROI.
04 · Data & SystemsERP, MES, SCADA, PLC, IoT, databases, APIs, spreadsheets and manual workflows.
05 · Optimization GoalsCost, CO₂, waste, throughput, resilience, safety, quality, uptime and profitability.
Industry-specific configurations
The same L.O.S.E.V.A™ core is adapted to the operational reality of each sector. Modules, interfaces, KPIs and optimization constraints are selected according to the customer’s actual environment.
Manufacturing & Factories
Typical focus- Cycle-time and line balancing
- Energy versus throughput
- Quality, downtime and maintenance
- Machine, robot and workforce coordination
Healthcare & Clinics
Typical focus- Patient logistics and safety
- Clinical supply flow
- Staff workload coordination
- Energy and infrastructure resilience
Hospitality & HoReCa
Typical focus- Food inventory and service speed
- Robot routing and peak demand
- Guest experience
- Waste and energy reduction
Logistics & Warehousing
Typical focus- Dispatch and fleet orchestration
- Inventory movement
- Route and loading optimization
- Delivery risk and latency
Facilities & Smart Buildings
Typical focus- HVAC, occupancy and energy
- Cleaning, maintenance and security
- Building systems integration
- Service robot coordination
Energy & Utilities
Typical focus- Load balancing
- Peak demand and penalties
- Asset health
- Consumption forecasting
Agriculture & Food
Typical focus- Resource and yield optimization
- Cold-chain and fresh-food logistics
- Water, energy and waste
- Autonomous field and facility tasks
SMEs & Service Businesses
Typical focus- Budget control and workflow automation
- Inventory and service planning
- Simple data onboarding
- Modular SaaS entry without heavy infrastructure
Data Centers & IT Operations
Typical focus- Cooling and power management
- Server utilization
- Incident risk
- Cost and carbon optimization
Aerospace & Safety-Critical Systems
Typical focus- Runtime resilience
- Fault prediction
- Deterministic response
- Safety and uncertainty management
Retail & Premium Living
Typical focus- Service robotics and customer flow
- Adaptive space and inventory
- Privacy and premium automation
- Value-based deployment models
Security & Defense Support
Typical focus- Perimeter and asset monitoring
- Autonomous inspection
- Threat and incident response
- Human validation protocols
Core platform plus configurable modules
The protected algorithmic core remains stable. Customer-specific modules are then activated, tuned and extended according to process requirements.
Core HMCDIEO Runtime
- Multi-criteria optimization
- Human-machine-cyber coordination
- Constraint and propagation logic
- Decision ranking and traceability
Integration Modules
- REST, MQTT, OPC-UA
- ERP, MES, SCADA, PLC
- Databases and file imports
- Siemens and third-party systems
Optimization Modules
- Energy and CO₂
- Waste and materials
- Budget and profitability
- Risk, safety and resilience
Digital Twin Modules
- Scenario simulation
- Operational dashboards
- Forecasting and comparison
- KPI and audit views
Robotics & RaaS Modules
- Fleet and task orchestration
- Robot routing
- Human validation
- POLx°IMAT and third-party robots
Customer-Specific Extensions
- Custom rules and constraints
- Sector-specific workflows
- Private deployment options
- OEM and white-label interfaces
Product release path
Customers can begin with a free or limited assessment environment and expand only when measurable value has been demonstrated.
Release 01
Sandbox API
- Self-service test workspace
- Sample or customer data
- Cloud or Docker evaluation
- Initial optimization report
Release 02
Configured SaaS Pilot
- Personal assessment
- Selected industry modules
- Customer KPI model
- Paid pilot and implementation plan
Release 03
Enterprise Runtime
- Private or hybrid deployment
- Multi-site orchestration
- Robotics, digital twin and OEM modules
- Support, SLA and continuous optimization
Technology Transfer Model
Exclusive production and distribution license, OEM manufacturing, white-label development, service model or complete IP asset deal under NDA.
HMC Operation Layer · Interactive Hospital Mission
Command the MedBot through a 3D hospital room
Select a task, then press Start. The cyan-green route shows the planned movement from the service kitchen to the patient bedroom.
Ready for command
SERVICE KITCHEN
CORRIDOR
PATIENT ROOM 408
Patient
TOWEL
Medicine cabinet
Linen collection
IV support
Nurse station
Corridor access
1 Select task2 Choose destination3 Start mission4 Review KPIs
RAAS APP · HUMAN–CYBER–MACHINE OPTIMISATION LAYER
Clinic Operations & Multi-Robot Command Center
Clinic-wide optimisation of patient flow, workforce, paperwork, facilities, inventory and a coordinated fleet of 20–40 service robots.
Clinic optimisation score
Predicted and validated performanceCost reduction18.6%
Workload balance88%
Energy efficiency23%
SLA compliance96%
Operational overview
Patient capacity, clinical flow and resources.
Bed occupancy78%↑ 4%
Available beds32↓ 2
Admissions today54↑ 8
Discharges today46↑ 5
Average length of stay4.2 days↑ 0.3
ER waiting time18 min↓ 6
Surgeries today12—
Medicine inventory92%↑ 5%
Linen inventory76%↓ 4%
Fleet overview
Availability and utilisation of the clinic robot fleet.
34Total robots
28 Active2 Charging2 Maintenance2 Offline
Utilisation rate87%
Tasks completed today342
Alerts & recommendations
Prioritised actions generated by L.O.S.E.V.A™.
High demand predictedEmergency department expected busy in 2 h
Low linen stockLinen inventory low in Laundry Zone 2
Battery maintenanceTwo robots require preventive maintenance
RecommendationRebalance nurse workload in Ward B
Clinic-wide optimisation layer
L.O.S.E.V.A™ combines operational, clinical, administrative and robotic data to improve the whole clinic—not only one robot mission.
Patient flow & capacity forecast
Admissions, discharges, bed turnover and predicted congestion by hour.
Predicted demandAvailable capacityPeak risk: Emergency + Imaging · 14:00–17:00
Workforce optimisation
Coverage, skill mix, overtime and task redistribution.
Nursing coverage
91%
Physician coverage
88%
Support staff
84%
Robot substitution
63%
Overtime risk
Low
Administrative & paperwork automation
PC workflows, forms, approvals, coding and document queues.
| Queue | Open | Auto | SLA |
|---|---|---|---|
| Discharge summaries | 46 | 78% | 22 min |
| Insurance coding | 31 | 66% | 41 min |
| Lab approvals | 18 | 91% | 8 min |
| Purchase requests | 57 | 42% | 2.1 h |
| Incident reports | 12 | 83% | 19 min |
Multi-robot fleet orchestration
Coordinated delivery, cleaning, linen, medicine, samples, guidance and facility inspection.
| Robot group | Units | Active | Tasks today | Utilisation | Next constraint |
|---|---|---|---|---|---|
| MedBot Care | 10 | 9 | 386 | 81% | Pharmacy peak 15:20 |
| Linen & Logistics | 8 | 8 | 294 | 76% | Laundry dock congestion |
| Cleaning & UV | 6 | 5 | 112 | 69% | 1 unit charging |
| Sample Transport | 4 | 4 | 148 | 88% | Lab priority queue |
| Guide & Concierge | 4 | 3 | 96 | 61% | Main lobby event |
Facilities, inventory & energy
Critical infrastructure and stock readiness.
HVAC efficiency
89%
Critical medicines
93%
Clean linen stock
72%
Medical gases
96%
Maintenance health
86%
Optimisation alerts & decisions
Items requiring human review or automatic action.
Emergency imaging queue predicted above 85%Reallocate
Move 2 MedBots to Pharmacy–Ward routeApproved
Four critical supply SKUs below 48-hour thresholdReview
Auto-complete 31 insurance coding casesExecute
Reduce HVAC load in unused Zone C−84 kW
Active mission
Current supervised autonomy workflow
Bring a new towelONE BASE MedBot · Patient Room 408
RobotMedBot-01
Payload12 kg
Clearance0.82 m
ApprovalConfirmed
Runtime optimisation trend
Predicted versus actual mission efficiency
PredictedActual
Decision contribution
L.O.S.E.V.A™ optimisation factors
HCMOL closed loop
Traceable human–cyber–machine execution
HUMANTask · approval · safety
→
CYBERL.O.S.E.V.A optimisation
→
MACHINEONE BASE execution
Request
Simulate
Approve
Execute
Validate
Decision & governance log
Audit-ready runtime evidence
Mission constraints validatedPASS
Collision-free route selectedPASS
Human approval recordedSIGNED
Return-to-base reserve protected87%
Mission controls
Runtime and safety settings