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VergeSense vs Eptura: Occupancy Intelligence or Workplace Management?

Written by VergeSense | May 26, 2026 12:45:00 PM

Choosing between VergeSense and Eptura comes down to what problem you're solving.

If hybrid policies are landing without data to back them up, leases are coming up for renewal without confident utilization numbers, or planning decisions are stuck in spreadsheets, you're looking at an occupancy intelligence problem. That’s what VergeSense is built for.

If bookings, visitors, service requests, and asset maintenance are daily issues, you're looking at a workplace operations problem. That’s is where Eptura’s workplace management suite comes in.

VergeSense vs Eptura at a glance:

 

 

VergeSense

Eptura

Primary function

Occupancy Intelligence + Predictive Planning

Integrated workplace management suite (IWMS)

Data source

Occupancy sensors, Wi-Fi analytics, integrations for booking and badge data

Bookings, badge swipes, user inputs

Best for

Portfolio optimization, lease decisions, space right-sizing

Daily workplace operations, multi-function consolidation

Integration model

Layers into your existing stack

Central system of record

Managing facilities without reliable space utilization data?
See how VergeSense gives CRE and workplace teams the planning capabilities and occupancy intelligence to optimize space, reduce operational costs, and make confident planning decisions.
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VergeSense vs Eptura: Platform Overviews and Core Capabilities

Worth flagging upfront: VergeSense and Eptura aren't always an either/or choice.

VergeSense integrates directly with Serraview (Eptura's space planning module) via the Occupancy Sensor API, and many enterprise customers run both, with VergeSense as the occupancy intelligence and AI planning layer, and Eptura as the IWMS, booking, and operational stack.

Below is an overview of each platform, with a closer look at Serraview's planning module and VergeSense Predictive Planning — the area you'll likely weigh most carefully if you're evaluating both.

VergeSense Workplace AI Platform

VergeSense is purpose-built to give real estate and workplace teams the occupancy data and predictive intelligence they need to make confident space planning decisions.

Occupancy intelligence captures real-time utilization through a network of privacy-safe occupancy sensors across desks, meeting rooms, collaboration zones, and open areas. The Infinity Area Sensor uses computer vision to measure occupancy, including when spaces are passively occupied, giving you accurate data on peak usage, average capacity, and actual demand patterns floor by floor.

Predictive Planning is powered by the Large Spatial Model, a foundational AI model trained on 200M+ sq ft of behavioral data across 200+ enterprises. It unifies occupancy signals from data from across your stack, then surfaces actionable insights:

  • Data sources: sensors, bookings, badge access, WiFi, and sensors.
  • Insights surfaced: underutilized neighborhoods, meeting room bottlenecks, and right-sizing opportunities.
  • Planning output: utilization forecasts modeled against different space scenarios, before you commit capital or trigger lease decisions.

VergeSense integrates with your existing workplace tech stack rather than replacing it, feeding occupancy intelligence and planning insights into IWMS platforms, workplace experience apps, and building management systems.

Eptura Workplace Management Suite

Eptura is a broad workplace management platform that brings together multiple operational workflows.

Eptura was formed in 2022 through the merger of Condeco and iOffice/SpaceIQ and now includes brands like Archibus (IWMS), Engage (booking), Serraview (space planning), Proxyclick (visitor management), and ManagerPlus (asset maintenance).

It was named a Leader in the 2026 Gartner Magic Quadrant for Workplace Experience Applications.

Its capabilities span:

  • Desk and room booking
  • Visitor management
  • Lease and portfolio management
  • Maintenance and asset tracking

Eptura is built around transactional workflows such as bookings, badge swipes, and service requests, rather than continuous occupancy measurement. It gives teams a system of record for workplace operations, but relies on user inputs and system activity to infer how space is used.

Key Feature Comparison: Occupancy Intelligence vs. Integrated Workplace Management Systems

The decision comes down to whether you need better data about space usage or a system to manage workplace operations.

Real-Time Space Utilization Measurement

VergeSense measures how space is actually used through occupancy intelligence, the data layer that unifies signals from sensors, WiFi, badge, and booking systems into a single source of truth.

The Infinity Area Sensor uses computer vision to capture what other data sources can't: true person count, active occupancy (people present and using a space), and passive occupancy (belongings claiming a space even when someone steps away).

That combination gives CRE and workplace teams a complete, space-type-level picture of how the portfolio is used throughout the day:

  • Peak demand at 10 AM versus the 3 PM lull
  • Which neighborhoods hit capacity first
  • Which conference rooms sit empty despite being booked
  • Whether a "fully booked" desk neighborhood is actually full or holding ghost reservations

Eptura relies primarily on data from existing workplace systems to infer space utilization. This provides visibility into scheduled activity and building access patterns, but it doesn't capture actual occupancy behavior.

A booked desk that remains empty all day still appears utilized. A meeting room occupied by two people instead of the booked eight looks fully used.

For real estate and workplace teams making lease and consolidation decisions, sensor-based measurement is the difference between forecasting on what people did and forecasting on what people booked. It lets you identify space shortages before employees start complaining and validate whether your hybrid policies are producing the utilization outcomes you expect.

Corporate Real Estate Planning Decisions

Eptura supports traditional planning workflows like space allocation, lease tracking, and capital planning. These processes rely on floor plans, headcount assumptions, and manual updates.

That approach works for:

  • Move planning
  • Stakeholder alignment
  • Documenting layout options

But it plans based on rules, not behavior.

VergeSense's Predictive Planning tool runs on the Large Spatial Model, a foundational AI model trained on 200M+ sq ft of behavioral data across 200+ enterprises.

Each scenario triggers 1,000+ Monte Carlo simulations to forecast how a floor will actually perform, surfacing the behavioral breakpoint where a space stops working, not just the design capacity. The output is a CFO-ready view: Utilization forecasts, capacity risks, and quantified impact before any capital is committed.

Integration and Data Connectivity

VergeSense unifies occupancy measurement across your stack:

  • Sensor data
  • Booking systems
  • Badge access
  • WiFi and environmental signals

The platform applies AI to resolve conflicts between intent and behavior, then surfaces patterns through native integrations with ServiceNow, Archibus, Planon, and the broader Eptura suite, pushing occupancy intelligence and planning insights into the workflows your teams already use.

Eptura unifies its own modules into a single system of record:

  • Booking
  • Service requests
  • Visitor management
  • Asset tracking

This creates consistency across workflows, but occupancy insights depend on the accuracy of input data.

Implementation and Integration Considerations

Deployment complexity, timeline expectations, and integration requirements directly affect when you'll start seeing ROI from better space decisions.

Deployment Models and Setup Requirements

VergeSense offers two deployment paths depending on which problem you're solving first.

Start with Predictive Planning. No sensors required.

The fastest path to ROI is the one that doesn't wait on hardware. Upload a floor plan, add your headcount and team metadata, and Predictive Planning generates forecasts in hours, powered by the Large Spatial Model trained on 200M+ sq ft of real workplace behavior. Teams use this path to model lease decisions, validate hybrid policies, and pressure-test consolidation scenarios across an entire portfolio, including sites that have never been instrumented.

  • Pilot-to-insight timeline: hours to days
  • No on-premise infrastructure to provision
  • Works across measured and unmeasured sites

Add occupancy intelligence to ground forecasts in measured behavior.

For sites where you want continuous, real-time measurement, the Infinity Area Sensor deploys on top of Predictive Planning to feed actual occupancy data back into the model, making forecasts more accurate over time.

  • Battery-powered sensors mount to ceilings or walls
  • Sensors connect via existing WiFi or cellular networks
  • Cloud-native platform with no on-premise infrastructure to provision
  • Typical pilot-to-production timeline: 4 to 8 weeks for initial floors
  • Sensor installation: 1 to 2 days per floor

Most deployments follow a phased rollout: start with Predictive Planning to get planning answers immediately, then layer in Occupancy Intelligence on the floors and buildings where continuous measurement matters most.

Eptura deployment involves configuring a comprehensive suite that touches multiple systems and workflows:

  • Data migration from existing IWMS or CAFM platforms
  • HR system integration
  • Configuration of service request workflows

Implementation timelines range from several weeks for basic booking and desk management to several months for full IWMS deployments, typically requiring dedicated project management resources and cross-functional stakeholder alignment across IT, HR, facilities, and real estate.

If a lease decision or capital cycle is on the horizon, deployment speed determines whether you'll have defensible data in time to act on it.

Native Integration Capabilities

VergeSense typically integrates with your core systems within days, with pre-built connectors and API access.

The integration architecture supports bi-directional data exchange with ServiceNow, Robin, OfficeSpace, and the Eptura suite (Archibus, Engage, Serraview), enriching the context already living in your IWMS and booing platforms with occupancy data and vice versa.

Eptura's integration strategy focuses on connecting its modules to each other and to external systems like HR platforms, service ticketing tools, and financial systems.

If you're already running an IWMS or facilities management platform, you'll need to evaluate how Eptura's modules will coexist with or replace existing systems, not just complement them.

How to Evaluate the Right Fit for Your Real Estate or Workplace Team

Frame the evaluation around three ROI dimensions that resonate with real estate and workplace stakeholders, and map to how they make and defend space decisions.

Decision-making speed. Measure how long it currently takes to answer questions like "Can we consolidate two floors?" or "Do we need more focus rooms?" With predictive planning capabilities, you can model scenarios and forecast demand in hours instead of weeks.

Planning confidence & risk avoidance. Quantify the cost of making the wrong call on a lease, a floor consolidation, or a hybrid policy. VergeSense customers have used measured occupancy and predictive forecasting to:

  • Avoid $60M in lease costs at Fresenius Medical Care
  • Save $18M over three years at an Australian financial services firm, avoid $13M in expansion costs at a global biotech
  • Eliminate 4,100 hours of ghosted meetings each month at a global consulting firm

Operational cost reductions. Consider the labor hours your team spends manually collecting utilization data, reconciling booking systems with actual usage, or fielding complaints about space shortages. VergeSense allows your team to start closer to the finish line, automating the data wrangling part of the process and freeing your team for strategic planning rather than data gathering.

Which Platform Is Right for Your Real Estate or Workplace Teams?

Eptura wins on breadth.

If your team needs one vendor for making operational workflows smoother, like booking, visitor management, asset maintenance, lease admin, and basic space planning, the Eptura suite is hard to beat. Serraview handles move management and block-and-stack workflows well.

VergeSense wins on depth.

When the highest-stakes decisions are about lease exits, floor consolidations, restacks, or hybrid policy impact, you need forecasts grounded in measured behavior, not assumptions. That's also where Predictive Planning is super valuable, being able to simulate how a floor will actually perform before you commit capital.

That's why many enterprise teams run both: Eptura as the IWMS and operations stack, VergeSense as the occupancy intelligence and AI planning layer.

Ready to see what a measured, AI-powered planning layer changes for your portfolio?
See how VergeSense helps real estate and workplace teams optimize space and make confident planning decisions.
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FAQs about VergeSense vs Eptura

Can VergeSense integrate with existing IWMS or facilities management systems?

Yes. VergeSense integrates with major IWMS platforms, including Eptura's Archibus, Engage, and Serraview modules, as well as Planon, ServiceNow, and other workplace tools through pre-built connectors and APIs.

How accurate is VergeSense occupancy data compared to badge or booking data?

VergeSense measures actual usage through sensors, typically delivering over 95% accuracy. Badge and booking data reflect intent, not real occupancy.

Does VergeSense support operational workflows beyond space analytics?

VergeSense focuses on occupancy intelligence and Predictive Planning , not workflows like asset tracking or visitor management. Many customers pair VergeSense with an IWMS like Eptura, using VergeSense as the intelligence layer that makes operational and planning workflows smarter.