Butlr vs Avuity: A Head-to-Head Comparison

Both Butlr and Avuity are camera-free occupancy sensing platforms, which puts them in rare company. For enterprise teams that have already ruled out cameras on privacy grounds, seeing two thermal-based options on the same shortlist can make the decision feel straightforward.

Both avoid personally identifiable information (PII). Both install without complex infrastructure. On paper, they look like close alternatives.

In practice, the two platforms are built for different levels of occupancy intelligence.

• Avuity is designed primarily for basic room-level presence detection and simple utilization reporting.
• Butlr captures a much richer set of spatial data, including movement patterns, dwell time, congestion, traffic flow, and headcount, and delivers it through an API-first architecture built to feed that intelligence into the operational systems organizations already rely on.

The shared camera-free thermal sensing label can actually make it harder to see where the two platforms diverge. The real differences show up in data depth, integration flexibility, coverage scope, and the range of operational outcomes each platform can support. The sections below cover those differences so you can evaluate which platform matches what your company needs.
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Butlr Overview

Butlr is an occupancy intelligence platform built on thermal sensing and AI. Its sensors capture how people use buildings, from individual rooms to entire portfolios, without collecting any PII. To date, Butlr has deployed more than 30,000 sensors across 40 million+ square feet in over 20 countries, spanning commercial real estate, higher education, healthcare, retail, and laboratory environments.

1. Thermal-only sensing eliminates PII at the hardware level

Butlr's sensors read heat signatures. The hardware is incapable of capturing images, recognizing faces, or identifying individuals. That makes privacy reviews and IT approvals faster.

Teams can also place occupancy sensors in spaces where other platforms can't go. Restrooms, patient rooms, senior living facilities, and laboratories are all viable because the sensor can't produce visual or biometric data.

2. Two sensing modes from one device

Each Butlr sensor operates in one of two modes, so teams can match the data to the space type without swapping hardware:

• Presence mode detects headcount, coordinates, and dwell time within a defined area. It's suited for rooms, zones, and individual desk clusters.
• Traffic mode counts directional movement (in and out) at entry points. It's designed for building lobbies, floor transitions, and large open areas.

Say your facilities team notices a 20-person conference room booked all day, every day. Presence mode might show that it consistently seats only three or four people, a sign that the space could work better as two smaller rooms.

Traffic mode on the same floor might reveal 400 people passing through daily, which helps the team plan cleaning schedules and amenity placement. Both data types come from the same sensor, so there's less hardware to install and manage.

3. Data flows outward through an API-first architecture

Butlr offers REST APIs and event-driven webhooks that push real-time occupancy data into the systems teams already rely on. This includes integrated workplace management system (IWMS) platforms, building management systems (BMS), energy management tools, smart cleaning software, business intelligence (BI) dashboards like Tableau and Power BI, and digital twins.

Because the data is live, it can drive operations in real time. Cleaning teams can respond to actual room usage instead of fixed rotations. HVAC systems can adjust based on true occupancy rather than timers. Environmental, social, and governance (ESG) reports can reflect how spaces are used hour by hour, not just quarter by quarter.

Deploying sensors is only the starting point. Butlr's team stays actively engaged after go-live, helping customers interpret what their occupancy data is telling them and act on it. Drawing on extensive global deployment experience, Butlr's project managers bring pattern recognition that individual deployments can't develop on their own.

That depth of experience means Butlr can surface recommendations grounded in what actually works across similar portfolios, building types, and use cases, not just raw data outputs. Whether a customer is trying to right-size their conference room mix, reduce HVAC costs in underused zones, or model headcount for a hybrid work policy, Butlr's team helps translate occupancy signals into specific, actionable decisions.

This ongoing engagement is particularly valuable for organizations that are expanding coverage, integrating with new systems, or evolving their workplace strategy over time. Rather than handing off a dashboard and stepping away, Butlr stays in the work, ensuring teams get measurable value from their data, not just access to it.

4. Deploys in weeks across any portfolio

Butlr's sensors are wireless and battery-powered, with connectivity options spanning WiFi, cellular, and ethernet. They don't require an electrician, cabling, or proprietary gateway infrastructure. That means hundreds of sensors can go up overnight, and the typical timeline from order to live data is three to five weeks.

This speed holds across larger deployments, too. Multi-building and multi-region rollouts stay simple because the hardware is lightweight and the networking is flexible. For organizations that need data next month rather than next quarter, Butlr's deployment model is built to match that timeline.
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Pricing

Custom pricing available on request.

Request a demo to discuss pricing for your portfolio.
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Avuity Overview

Avuity is a camera-free occupancy sensing company that primarily serves corporate real estate teams, helping organizations understand room and space utilization. Typical Avuity deployments are room-level or zone-level, centered on presence detection and utilization reporting.
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Key Features

• VuAI sensor: Avuity's primary sensor uses passive infrared (PIR) detection to identify motion, which triggers an AI-powered optical reading of the space. It captures occupancy, utilization, and environmental metrics (temperature, light, noise, humidity).
• VuSpace analytics: This web-based platform provides utilization reporting, live heatmaps, and device management. It supports views at the building, floor, space type, and amenity level, along with custom notifications based on capacity or usage thresholds.
• VuBook: This desk and room booking application integrates with calendar platforms. Employees can search for available spaces by building, floor, and amenities, and see real-time availability when paired with sensors.
• API access: Avuity offers historical data, real-time, and hardware APIs, along with CSV export. The platform also integrates with building automation systems for HVAC adjustments.

Advantages

• No cameras and no PII collection make procurement smoother. Teams can move through privacy and legal reviews with less friction than camera-based alternatives, which helps in industries and regions with strict data protection requirements.
• A single sensor captures both occupancy and environmental data. If your team also wants temperature, noise, and humidity readings, the VuAI can handle it without adding more devices.
• VuSpace gives non-technical stakeholders a way to access utilization reports, heatmaps, and alerts without needing BI tools or custom dashboards. For teams that want a ready-made analytics environment, it's accessible out of the box.

Shortcomings

• Organizations that need to drive operational use cases like demand-based cleaning, real-time energy response, or hybrid work modeling will find that room-level presence data doesn't go deep enough. Headcount, movement patterns, dwell time, traffic flow, and congestion aren't part of Avuity's output.
• Teams that want occupancy data flowing into their existing tech stack (IWMS, BMS, BI tools, cleaning platforms) may find Avuity's integration model restrictive. Most of the platform's reporting and visualization is designed to happen inside VuSpace rather than pushing data outward.
• Expanding coverage beyond conference rooms and desk zones to include open floorplans, hallways, transitional spaces, and sensitive environments requires considerable additional investment. For organizations planning portfolio-wide coverage, the room- and zone-focused model can become a constraint.

Pricing

Custom pricing available upon request.
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A Side-by-Side Comparison of Butlr and Avuity

Both platforms are camera-free and thermal-based, so the comparison here is less about privacy architecture and more about what each platform does with the data it collects.

The difference in data depth and integration approach affects whether a platform can support hybrid work planning across a portfolio, drive real-time automation for cleaning and energy, and scale into a true occupancy intelligence layer or stay limited to room-level presence reporting.

Below, we've summarized the key differences at a glance, followed by a detailed breakdown of each category.

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Sensor Technology

Both platforms avoid cameras, but the sensing methods differ. Avuity's VuAI uses PIR-triggered optical readings to confirm occupancy and collect environmental data.

In contrast, Butlr reads thermal signatures only, which produces a broader set of spatial signals (headcount, dwell time, movement, traffic, congestion) without any optical component. Thermal-only sensing also means consistent performance across all lighting conditions and environments without calibration.

Key Takeaway: Camera-free is the shared starting point. Avuity confirms presence. Butlr captures the spatial detail that supports operational decisions.
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Privacy and Compliance

Both platforms skip PII collection. Butlr's guarantee goes further because it's enforced at the hardware level. Its sensors physically can't produce visual data, biometrics, or individual signatures. That thermal-only approach, paired with SOC 2 Type II certification, typically clears legal, IT, and works council reviews without extended cycles, even in EMEA.

Avuity's camera-free positioning also simplifies these conversations, though its optical component may draw additional scrutiny depending on the region.

Key Takeaway: Butlr's thermal-only hardware carries the strongest privacy guarantee because there's no visual data to review, which helps teams reach deployment faster.
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Coverage Model

Avuity's deployments are typically room- and zone-focused: conference rooms, desks, and defined workstation clusters. Butlr is designed for full-building and full-floor coverage from the outset, including open areas, hallways, transitional spaces, and sensitive environments like restrooms and patient rooms. Its direct network connectivity (WiFi, cellular, or ethernet) and predictable per-building pricing make portfolio-wide scaling simpler.

Key Takeaway: Avuity handles defined rooms and zones. Butlr extends into hallways, open areas, and transitional spaces where much of workplace activity actually happens.
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Installation and Deployment

Both platforms use battery-powered, ceiling-mounted sensors that don't require cabling. Avuity's sensors need a central gateway in range for each deployment zone, which adds a step for larger rollouts. Butlr's sensors connect directly via WiFi, cellular, or ethernet with no proprietary gateway. They can go up overnight with data flowing within three to five weeks.

Key Takeaway: Both are easy to install in a handful of rooms. Butlr's gateway-free architecture supports the speed that large or multisite deployments need.
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Integrations and Data Flexibility

Avuity offers API access and CSV exports, but its VuSpace platform is where most reporting and visualization happens.

Butlr's REST APIs and event-driven webhooks push real-time data outward into IWMS, BMS, energy, cleaning, BI, and digital twin platforms. Teams keep using the tools they already have rather than adopting a new dashboard.

Key Takeaway: Avuity provides API access alongside its own platform. Butlr is designed to send occupancy data into external systems, giving teams more control over where they use it.
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Presence Data vs. Spatial Intelligence

Avuity confirms whether a space is in use and reports on utilization rates and peak hours. Butlr captures richer spatial data: how many people are in a space, how long they stay, how they move through the building, and where congestion forms.

That additional depth is what makes use cases like demand-based cleaning, real-time HVAC response, hybrid work modeling, and ESG reporting possible.

Key Takeaway: Avuity provides the data needed for utilization reporting. Butlr provides the data needed to run operations, automation, and portfolio-level planning.
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Overall Assessment

Avuity is a reasonable option for organizations whose primary need is camera-free room-level presence detection and basic utilization reporting. Its VuAI sensor, environmental monitoring, and VuSpace analytics platform provide a self-contained solution for teams with a narrower, well-defined use case. For smaller deployments focused on conference rooms and desk utilization, it covers the basics.

Enterprise organizations that need deeper occupancy data, API-driven integrations, and full-building coverage will find Butlr is the stronger fit. Its advantages in data depth, outward-facing architecture, full-building coverage economics, and operational use-case breadth add up to a platform built for where enterprise workplace strategy is heading.

Because both platforms are camera-free, the data depth and integration differences become the deciding factors. The two platforms' privacy architecture is comparable at a surface level, which means the decision should come down to what each platform can do with the data it collects and how that data reaches the systems your team depends on.

Butlr is purpose-built for organizations that need occupancy intelligence and enterprise infrastructure across a large or complex portfolio, not just a dashboard that confirms which rooms are in use.
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Choose Butlr if...

• You need occupancy data that goes beyond room-level presence: headcount, movement patterns, dwell time, traffic flow, and congestion
• You want occupancy data flowing into the systems you already use (IWMS, BMS, BI tools, cleaning platforms, digital twins) rather than living inside a standalone dashboard
• You need full-floor and full-building coverage, including open areas, hallways, and common spaces, not just conference rooms
• You're planning for use cases beyond basic utilization reporting, such as demand-based cleaning, real-time energy response, hybrid work modeling, or ESG reporting
• You need to scale across a large or multi-site portfolio with predictable per-building costs
• Your portfolio includes sensitive spaces like restrooms, patient rooms, labs, or senior living facilities
• You want to invest in a platform you won't outgrow as your workplace strategy matures

Choose Avuity if...

• Your only requirement is knowing whether a room is occupied or not, and you don't need headcount, movement, dwell time, or traffic data
• You're deploying in a small number of meeting rooms and don't plan to expand coverage to open floorplans, hallways, common areas, or sensitive spaces
• You're comfortable with basic utilization reports and don't need occupancy data feeding into your IWMS, BMS, BI tools, or cleaning platforms via API
• A standalone dashboard meets your reporting needs and you don't require real-time data integrations or automation triggers

See How Butlr Fits Your Organization

For organizations evaluating occupancy sensing platforms, the best next step is to see how the data works in the context of your specific spaces, portfolio, and existing tech stack.

Go here to request a demo of Butlr.

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