Frequently Asked
Questions

Pinestack is a central digital platform for buildings and real estate portfolios that connects building systems, operational data, and user needs into one unified environment.

By combining the ONEvr data platform with the PIA user interface, Pinestack enables better decision-making, efficient operations, and improved user experience across all stakeholders.

ONEvr is Pinestack's core data platform that creates 2D and 3D digital twins of your buildings. It integrates all building data — energy, occupancy, IoT sensors, and technical systems — into one unified layer.

This enables centralized IoT control, real-time monitoring, and data-driven optimization across single buildings or entire portfolios.

PIA (Pinestack Intelligence Assistant) is your intelligent workplace assistant. Book rooms via voice or chat using natural language: "Book a room for 4 people at 2pm near Marketing."

Available as iOS/Android apps and a Progressive Web App. Integrates with Microsoft 365 and Outlook for automatic calendar sync, hybrid work coordination, and personalized building services.

Unlike traditional CAFM systems, Pinestack is not limited to facility management workflows. It combines real-time building data, user interaction, and analytics in one platform.

This enables both operational efficiency and strategic asset optimization — beyond basic maintenance tracking.

Pinestack addresses key challenges in modern real estate:

• Lack of data transparency across buildings
• Inefficient space usage and high vacancy costs
• High operational and energy costs
• Fragmented systems requiring multiple platforms

It creates a unified digital layer across all buildings and portfolios.

Pinestack serves five key segments:

• Project Developers: ESG certifications to maximize sales prices
• Asset Managers: Digital upgrade to avoid brown discounts
• Corporate Real Estate: Reduce costs through space optimization
• Facility Managers: Real-time data for operational efficiency
• Tenants: Better workplace experience and productivity

Supports single buildings to large multi-site portfolios.

• Data Collection: The system connects to existing building systems (HVAC, lighting, sensors, access control) via standard protocols (BACnet, KNX).
• Digital Twin: Creates a real-time 2D/3D visualization of your building with live data from all systems.
• User Interface: PIA provides intuitive access for booking, monitoring, and control via mobile apps, web, or voice/chat.

All components work together seamlessly — from data collection to actionable insights and automated optimization.

Pinestack collects operational building data only — no personal tracking or surveillance:

• Building system performance
• Energy and resource consumption
• Space occupancy
• Environmental conditions
• Maintenance and service records
• User bookings and service requests

All data collection is GDPR-compliant with transparent privacy controls and user consent management.

Implementation typically takes 3–9 months depending on the number of buildings, existing system complexity, required integrations, and customization needs.

Phased rollouts allow partial operation during implementation.

Yes. Pinestack is specifically designed for existing buildings and does not require extensive renovation.

The platform integrates with current building systems and provides digital upgrades through software, avoiding costly physical modifications while achieving modern smart building capabilities.

Yes. Pinestack is designed for multi-building portfolios and district-level operations. The platform provides unified dashboards, cross-building analytics, and portfolio-wide KPI tracking with drill-down capabilities to individual buildings.

Asset managers gain:

• Portfolio-wide transparency with comparable KPIs
• ESG compliance without major renovation
• Increased asset value through digital certification
• Better investment decisions based on real data
• Competitive advantage in attracting premium tenants

Facility managers benefit from:

• Central control of all building systems
• Faster issue detection and resolution
• Reduced manual work through automation
• Data-driven maintenance planning
• Lower operational costs

This improves efficiency by 25–40% on average.

Pinestack uses real-time monitoring and predictive analytics:

• Automatic anomaly detection in building systems
• Predictive maintenance alerts before failures
• Integrated ticketing and workflow management
• Performance tracking and resolution times

This reduces downtime by 30–50% and enables proactive maintenance.

Clean, modern interface optimized for ease of use:

• Intuitive navigation and search
• Real-time data visualization
• Interactive 2D/3D building views
• Customizable dashboards
• Mobile-responsive design

Different views for different user roles (tenant, FM, asset manager).

Yes. Role-based access control includes:

• Tenant users (booking, services)
• Facility managers (operations, maintenance)
• Asset managers (analytics, reporting)
• Administrators (full system access)

Granular permissions per role with custom role creation available.

ONEvr is Pinestack's core data platform. It creates 2D and 3D digital twins and integrates all building data — energy, occupancy, IoT sensors, and technical systems — into one unified layer.

This enables centralized IoT control, real-time monitoring, and data-driven optimization across single buildings or entire portfolios.

A digital twin is a virtual replica of a physical building that mirrors real-time building conditions, enables simulation and optimization, provides visual navigation, supports scenario planning, and tracks performance against targets.

ONEvr creates interactive 2D and 3D digital twins of your properties.

Pinestack provides comprehensive KPIs across:

• Energy: Consumption, intensity, cost trends, carbon emissions
• Space: Occupancy rates, utilization patterns, booking efficiency
• Operations: Issue resolution times, maintenance costs, system performance

All KPIs are customizable, real-time, and portfolio-comparable.

Pinestack automatically tracks ESG data in real-time — energy consumption, space utilization, and operational performance. The ESG solution includes:

• Automated data collection and reporting
• GRESB and CRREM integration
• Carbon emission tracking and reduction
• ESG score calculation and monitoring
• Certification support and documentation

By analyzing real occupancy data from sensors and booking systems, Pinestack identifies unused or inefficiently used spaces.

This allows companies to reduce unnecessary space, optimize layouts, consolidate areas, and improve workplace efficiency — typically saving 20–30% in space costs.

Pinestack reduces energy consumption through:

• Real-time monitoring and anomaly detection
• Automated HVAC and lighting optimization
• Occupancy-based system control
• Performance benchmarking and targets
• Predictive maintenance of resources

Typical savings: 20–30% of total energy costs.

A building data platform in Pinestack collects data from all building systems, normalizes and structures it, provides real-time analytics and visualization, enables automated optimization, and supports decision-making with insights.

ONEvr acts as the central data platform integrating all building information.

Operational support includes:

• Real-time system monitoring
• Automated issue detection
• Integrated ticketing and workflows
• Predictive maintenance scheduling
• Performance analytics and optimization

Reduces manual oversight by 40% while improving service quality.

Yes. Pinestack scales from single buildings to entire districts:

• Unified control across all buildings
• District-wide energy optimization
• Cross-building resource sharing
• Centralized analytics and reporting
• Coordinated operations and services

A building cockpit (like ONEvr) is a centralized dashboard providing:

• Real-time building performance overview
• KPI monitoring and alerts
• System control and automation
• Analytics and reporting
• Issue management and workflows

One interface for complete building operations management.

Centralized analytics through ONEvr enables:

• Aggregated data across all buildings
• Standardized KPIs for comparison
• Portfolio-wide trends and insights
• Drill-down to individual buildings
• Custom reports and dashboards

Pinestack increases value through ESG certification, lower operating costs, tenant satisfaction, modern smart building features, and documented performance.

Digital upgrades typically command an 8–15% premium in valuations.

AI applications in Pinestack:

• Predictive maintenance forecasting
• Occupancy pattern prediction
• Energy optimization recommendations
• Anomaly detection and alerts
• Natural language booking (PIA)

AI learns from building data to continuously improve performance.

District management capabilities:

• Unified platform across all buildings
• Cross-building energy optimization
• Shared resources and services
• District-wide analytics and reporting
• Coordinated operations and security

Pinestack is purpose-built for real estate portfolios with:

• Multi-building architecture from day one
• Portfolio-wide standardization and comparison
• Scalable from 1 to 1,000+ buildings
• Unified operations across properties
• Real estate-specific KPIs and workflows

Unlike generic IoT platforms, designed specifically for real estate needs.

PIA (Pinestack Intelligence Assistant) is your intelligent workplace assistant. Book rooms via voice or chat using natural language: "Book a room for 4 people at 2pm near Marketing."

Available as iOS/Android apps and a Progressive Web App. Integrates with Microsoft 365 and Outlook for automatic calendar sync, hybrid work coordination, and personalized building services.

Yes. PIA is available as:

• iOS app (App Store)
• Android app (Google Play)
• Progressive Web App (works on any device)

All versions sync in real-time and provide full functionality — including booking, navigation, notifications, and building services access.

Book via voice, chat, mobile app, or Microsoft 365 calendar integration. PIA suggests optimal spaces based on preferences, team proximity, and requirements.

All bookings auto-sync with calendars and access systems.

Workplace apps like PIA provide:

• Room and desk booking
• Building navigation and wayfinding
• Service requests and support
• Visitor management
• Community features and communication

All accessible via mobile or web for a seamless workplace experience.

PIA provides intuitive daily workflows:

• Check-in at arrival
• Book spaces as needed
• Report issues via chat/voice
• Access building services
• Receive personalized notifications

Facility managers use ONEvr dashboards for monitoring, control, and optimization.

Buildings are modernized using the Pinestack system without major renovation:

• Software-based digital upgrade
• Integrate existing building systems
• Add smart controls and automation
• Deploy modern user interfaces
• Implement data-driven optimization

Achieve smart building capabilities at a fraction of reconstruction cost.

Building digitalization with Pinestack:

• Integrate existing building systems via APIs
• Add IoT sensors where needed
• Create digital twin representation
• Deploy user interface (PIA)
• Train staff and onboard users

No major construction or system replacement required — a digital overlay on existing infrastructure.

Smart building software from Pinestack connects and optimizes building systems through centralized control, data analytics, and automation.

Pinestack combines IoT integration, digital twins, AI analytics, and user interfaces to create intelligent, responsive buildings that adapt to occupant needs and operational goals.

Space optimization with the Pinestack system is achieved through:

• Real occupancy analysis (not assumptions)
• Hoteling and desk sharing management
• Meeting room utilization tracking
• Layout optimization recommendations
• Hybrid work pattern analysis

Identify underutilized areas and reduce space costs by 20–30%.

ATLAS is an asset intelligence platform for asset managers and property owners that lets you steer an entire portfolio from one place. It brings financial performance, energy, ESG, occupancy, alerts, and AI recommendations together in a single system.

Instead of checking many separate systems, you open ATLAS and see immediately what matters.

ATLAS is used modularly and depending on the use case. Which dashboards, metrics, connectors, AI functions, and reports are available is confirmed before the project starts, based on the current product state and your requirements.

Wording such as "can" or "with the appropriate data connection" marks capabilities that require suitable data, interfaces, or additional implementation.

ATLAS is aimed at asset managers, property owners, portfolio managers, and technically minded CFOs. Facility managers, ESG officers, and finance users additionally use the functions relevant to their tasks.

Administration distinguishes between regular users, customer admins, and the Pinestack super admin. Roles and building access are assigned within each customer account.

ATLAS shows how technical operating conditions affect the financial result. Energy consumption, plant operation, occupancy, and maintenance needs can be related to OpEx, NOI, vacancy risks, and CapEx requirements.

This makes it possible to trace in which building a cost deviation arises, which technical cause may lie behind it, and which measure is likely to deliver the highest economic effect.

A BMS controls individual building systems; a general BI tool only visualizes the data fed into it. ATLAS sits above both levels: it connects existing systems, normalizes their data, and translates it into financial, ESG-related, and operational insights at portfolio level.

The result is a portfolio steering system focused on financial outcomes, for people who manage real estate at scale.

After login, the dashboard can provide a management overview with real values, charts, and rankings: financial performance, best and weakest buildings, high energy consumption, low occupancy, ESG risks, and urgent alerts.

Every widget is clickable and leads straight to the related detail view. There are no dead ends.

ATLAS can translate operational data into the financial metrics asset managers actually report on:

• Revenue, NOI, and NOI margin
• Rent per m², operating costs (OpEx), and vacancy costs
• WALT, lease expiries, and ROI

In addition, high energy consumption is shown as a cost risk and low occupancy as a vacancy risk.

With the appropriate data connection, ATLAS can bring together energy and sensor data and surface unusual consumption, for example an HVAC system running at low occupancy. Possible metrics include total consumption, energy intensity per m², CO₂, and total cost.

From this, measures such as HVAC optimization or LED retrofits can be prioritized. Forecasts for savings and ROI remain assumptions and should be verified against real figures after implementation.

ATLAS can bring together building, energy, emissions, and water data and provide it as ESG indicators, trends, and building comparisons. Where the required data is available, it can also support a CRREM analysis and the assessment of a possible stranding risk.

The final regulatory assessment and sign-off remains with the responsible departments or auditors.

The AI Assistant is designed as a natural-language interface to the dashboard. Depending on the available scope and connected data, it can find information, explain relationships, and prepare analyses. Possible questions include:

• Which building performs worst this month?
• Why are energy costs higher in Building A?
• What are my five largest financial risks?

Results should be checked against the underlying data.

ATLAS can capture actual occupancy from live sensor data instead of manual walk-throughs or outdated ERP data. It can display average occupancy, floor views, room usage, and heatmaps across the entire portfolio.

Floor-level heatmaps can show, by weekday, which floors and time windows are underused. This enables targeted space consolidation and lower operating costs.

ATLAS can compare selected buildings across areas such as finance, ESG, energy, and occupancy, provided comparable data is available. An AI-supported explanation can put differences into context, for example similar occupancy with differing HVAC consumption.

Results can be exported for investment committees or transaction reviews. The methodology and weighting of such comparison scores are defined transparently.

Building comparisons can be based on your own portfolio data, prior periods, target values, or, where suitable, external benchmarks. For results to be reliable, usage type, area, period, occupancy, weather, and data quality should be taken into account.

Rankings are therefore an indication of anomalies, not a substitute for a professional review of the building context.

Depending on the data connection, faults, anomalies, and threshold breaches can be brought together in a central inbox and prioritized by criticality, for example HVAC faults, energy peaks, or ESG thresholds.

Alerts can be assigned, commented on, escalated, or resolved. AI can suggest possible measures; the professional assessment stays with the responsible user.

The Formula & KPI Engine can translate raw building data into defined business metrics, for example energy per m², HVAC efficiency, cost per m², NOI margin, and ROI. Which KPIs are used is defined in the project.

Where AI proposes a formula, the system shows a preview with real values. A responsible user reviews and approves the calculation before it is used.

ATLAS can provide report templates, for example for portfolio overview, finance, energy, ESG, alerts, and maintenance. Exports as PDF, XLSX, or CSV are possible depending on the report.

Scheduled provision or distribution can be set up, provided the required target systems such as email or SharePoint are connected.

A building system can be connected manually by technical users. Where the AI function is available, it can analyze sample data, recognize fields such as device ID, timestamp, and unit, and propose a mapping.

The system checks the connection and mapping. Before going live, a responsible person reviews and approves the result.

ATLAS builds on Pinestack's existing hardware connectivity. Ready-made connectors exist for, among others, KNX, Gira HomeServer, SmartEngine multisensors, Signify / Philips Hue, BLE beacons, Aedifion BMS/HVAC, BlueID Mobile Access, and Schindler elevators.

For other systems, generic connectors cover common protocols: REST API, MQTT, Webhook, BACnet, Modbus, OPC UA, CSV/SFTP, and TCP Socket.

No. ATLAS is designed to build on systems already in use, not to replace them. Where suitable interfaces are available, existing building control technology, meters, sensors, and access systems can be connected and their data normalized.

Monitoring can surface unreachable providers, schema changes, and data gaps so that integration issues are detected earlier.

ATLAS has an open, interface-oriented integration architecture. Functions such as email alerts, Teams notifications, calendar sync, SharePoint storage, or single sign-on via Azure AD can be set up depending on the project.

SAP and other ERP, CAFM, or finance systems can be connected where suitable and approved interfaces are available.

Customer admins define who may see which buildings and functions. They invite users, assign roles, grant building-level access, and deactivate departed users with one click.

Through role-based access, a finance user sees the financial data while a facility manager focuses on alerts and maintenance. Sensitive data stays visible only to authorized team members.

ATLAS is particularly suited to owners, asset managers, and technically minded CFOs who need to steer several buildings or a complex single property economically, especially where energy, ESG, occupancy, and cost data have so far been spread across different systems.

There is no fixed minimum size. Whether ATLAS makes economic sense should be assessed against the specific use case.

ATLAS mainly solves the problem of fragmented information. Financial metrics, operational data, energy consumption, occupancy, ESG, and risks are no longer assessed separately but in a shared context.

This lets ATLAS answer key management questions: which buildings weigh on the result? Where is there an urgent need to act? Which measure has the greatest effect?

ATLAS generally replaces neither building automation nor BMS, ERP, SAP, or CAFM. These systems keep their core function. ATLAS connects their data, normalizes it, and presents it together at portfolio level.

What ATLAS can replace or reduce is manual Excel analyses, isolated single dashboards, and parts of manual reporting.

A rollout starts with the business goals and the relevant KPIs. Then buildings, systems, and data sources are captured, the connectors are set up, and the data is mapped to the ATLAS data model.

After that, dashboards, roles, thresholds, and reports are configured. A pilot phase with professional sign-off ensures the metrics are reliable. ATLAS can then be rolled out step by step.

A successful rollout requires the customer's cooperation; its nature and scope are defined contractually. As a rule, the customer provides the necessary hardware and system access, names contacts, delivers complete master data, and provides the required environment, for example buildings and test areas.

The more clearly data sources, responsibilities, and goals are defined, the faster reliable results emerge.

Once access has been provided, first data, visualizations, and anomalies can often become visible within a few weeks. The exact timing depends mainly on the availability and quality of the data, the required connectors, and your approval processes.

A clearly scoped pilot usually delivers value faster than an immediate full rollout.

To start, the data needed to answer the prioritized use case is enough, for example building and area master data, energy and meter values, cost and financial data, or occupancy information.

Not all data types need to be available from day one. ATLAS is built up according to the specific decision needs.

Yes. ATLAS normalizes the available data and flags missing, delayed, or implausible values instead of silently using them as a reliable basis.

Data quality indicators and connector monitoring show which analyses are already reliable. A project can therefore start with the existing data situation and improve quality in parallel.

Historical building, energy, cost, occupancy, and fault data can be imported if it is provided via suitable interfaces or in sufficiently structured files. Beforehand, format, time reference, completeness, and plausibility should be checked.

Which history is technically available and economically sensible depends on the use case and the quality of the source data, and is assessed in advance.

Yes. A pilot can be limited to one building, a small group of buildings, or a clearly defined use case, for example energy optimization, occupancy analysis, or portfolio reporting.

Measurable success criteria are defined before the start. After the evaluation, the data model, connectors, and dashboards can be transferred to further buildings in a structured way.

Depending on the agreed service scope, Pinestack can support platform operation, connector monitoring, analysis of data gaps, updates, support, and the further development of dashboards or reports.

Tasks, support hours, and possible service levels are defined in the contract, as is the division of responsibilities between Pinestack, the customer, and any involved service providers.

At the start, a baseline and the relevant cost drivers can be determined, for example energy and operating costs, vacancy, manual reporting effort, and prioritized CapEx measures.

ATLAS can compare identified deviations, proposed measures, and, where follow-up data is available, changes actually achieved. Forecasts are not a guarantee of success and should be validated against real figures after implementation.

ATLAS can be provided as a cloud solution, as a private cloud, or as a customer-specific installation. A fully customer-operated installation is possible, but usually involves the highest effort.

Operation within the EU and in Germany is possible. Data region, backup, recovery, and access rules are documented before the project starts and depend on the chosen operating model.

Storage location and data region depend on the agreed hosting model; operation within the EU and in Germany is possible. Access rights, tenant separation, encryption, and retention periods are defined in the project.

The customer keeps the contractually agreed usage and disposal rights to the data it provides. Export, retention, and deletion at the end of the contract are set out bindingly.

Customer data is not used to train general AI models without agreement. How customer data and external AI services are handled is governed contractually.

A substantial part of the analyses is based on predefined formulas that run internally. Where functions can be operated without transferring confidential data, that variant is preferred. Data flow, processing purpose, and any subprocessors are defined before use.

AI can prepare analyses, flag anomalies, explain causes, and draft text, mappings, or formulas. This does not automatically result in an operational decision.

New formulas, connector mappings, or material CapEx recommendations should be approved by a responsible person before activation. ATLAS supports decisions; the professional responsibility stays with the people in charge.

The performance of ATLAS should be demonstrated using comparable buildings, portfolios, and use cases. What matters is the starting point, data basis, measure implemented, period, and measured economic effect.

Pinestack provides suitable project examples during the sales process. Where no directly comparable reference exists yet, a pilot with predefined KPIs creates a reliable proof point.

Pricing depends on the portfolio, the number and size of buildings, the activated modules, the required connectors, and the implementation, hosting, and support scope.

Before any order, the scope of services, one-time onboarding costs, and ongoing costs are described transparently. For an individual quote, contact sales@pinestack.io.

Pricing is customized based on building size, portfolio scope, required integrations, and features.

We provide transparent ROI calculations showing energy savings, operational cost reductions, and space optimization benefits. Contact us for a tailored quote and cost-benefit analysis.

Pinestack typically delivers ROI through:

• 20–30% energy savings through optimization
• 15–25% reduction in operational costs
• 20–30% improved space utilization

Most clients see return on investment within 2–5 years, often faster for larger portfolios.

Pinestack increases value through ESG certification and higher ratings, lower operating costs, tenant satisfaction and retention, modern smart building features, and documented performance and efficiency.

Digital upgrades typically command an 8–15% premium in valuations.

Yes. Pinestack integrates with existing building systems, IoT sensors, and access control infrastructure — no new hardware installation required in most cases.

Where hardware upgrades make sense, we provide consultancy to identify the right solutions based on clear ROI calculations. We work closely with hardware suppliers such as Gira to implement seamlessly via software integration.

Yes. Fully GDPR compliant with EU data protection standards. Enterprise-grade security includes:

• Data minimization and encryption
• User consent management
• Right to deletion and data portability
• ISO 9001 certified development processes
• Automated 24/7 monitoring with self-healing infrastructure

Our infrastructure follows established security and quality management structures. For projects requiring formal ISO 27001 certification, we can provide this upon request within the required timeframe.

Data is stored on GDPR-compliant servers in the EU. Options include cloud (default), on-premise, or hybrid deployment.

All data is encrypted in transit (TLS 1.3) and secured through regular backups.

Flexible deployment options:

• Cloud: Fast implementation, automatic updates, scalable, 99.9% uptime
• On-Premise: Complete data sovereignty, custom security
• Hybrid: Sensitive data on-premise, analytics in cloud

We help you choose based on security requirements and IT strategy.

Enterprise-grade security:

• Hosting in EU data centers operated to recognized security standards
• AES-256 encryption, TLS 1.3
• Role-based access, MFA, SSO
• Automated 24/7 health monitoring with self-healing infrastructure
• Audit logging

Regular security reviews ensure ongoing compliance. Additional threat detection and alerting is provided at the cloud platform level.

Yes. Pinestack integrates with standard building systems via open APIs:

• BMS/HVAC systems (BACnet, KNX)
• Access control systems
• IoT sensor networks
• ERP and FM systems
• Calendar systems (Microsoft 365, Google Workspace)

Integrations are implemented on a custom basis per project. Please contact us to discuss your specific requirements.

Pinestack exposes a standard REST API built with OpenAPI specifications, covering core platform functionality. The API can be extended to support additional integration needs on a project basis.

Full API documentation and developer support are included.

Operational support includes:

• Real-time system monitoring
• Automated issue detection
• Integrated ticketing and workflows
• Predictive maintenance scheduling
• Performance analytics and optimization