ACCURATE. PRIVATE. SOFTWARE-ONLY.
With InnerSpace, your Wi-Fi network becomes a high-precision space utilization tool that easily scales to any size of real estate footprint, and actually works - no hardware required.
ALL THE NEXT-GEN INSIGHTS, NONE OF THE HARDWARE HASSLE.
You don’t need more hardware. InnerSpace’s software-as-a-service (SaaS) and your Wi-Fi network are all that’s required to generate accurate space use data. No cables to pull, no new devices on your network, no firmware updates, no installers and service people visiting your sites. Low effort, low maintenance SaaS is the future of space utilization data, and InnerSpace will take you there.
OUR CUSTOMERS AGREE
“The cost avoidance isn’t just about not having to buy those IoT sensors and installing them, but also the continued maintenance and security of those devices. You have firmware updates and security updates in the future, so the life cycle costs come down to quite a bit of savings from not having to implement duplicative infrastructure. We partnered with InnerSpace, a vendor who has the logic and AI ML capabilities in their system to understand and make sense of the raw data that came from the WAP points and then provide meaningful people-count data.”
— Daniel Lee, Regional Lead, Center of Innovation, Microsoft Global Workplaces Services
5x more accurate
than traditional Wi-Fi LOCATION SERVICES
If you are considering your WAP provider or other Wi-Fi based solutions for measuring occupancy, prepare to be disappointed. The location methods other services use (traditional Wi-Fi triangulation) can be extremely inaccurate, and completely inadequate for anything but the most basic, building-level counts. InnerSpace’s proprietary location engine allows us to anonymously locate unique people within an unmatched 4ft radius. This ground-breaking level of accuracy makes unprecedented zone-level space use insights possible - and actually useful.
PREDICTIVE HYPERBOLIC LOCATION FINGERPRINTING - A LEAP FORWARD IN WI-FI POSITIONING ACCURACY
Traditional Wi-Fi triangulation is inadequate
Traditional methods using Wi-Fi struggle to locate people due to obstructions like walls and furniture, typically offering only 20-100ft accuracy – a wide variance that could span across entire rooms and even floors. As a result, these methods are only adequate for spaces larger than 5,000 sq. ft.
Predictive Hyperbolic Location Fingerprinting (pHLF) wins
InnerSpace’s proprietary pHLF technology dramatically improves indoor positioning by leveraging a predictive model based on Wi-Fi signal strength (RSSI) from fixed Wi-Fi sources you already own, like printers and TV’s. This way, InnerSpace achieves < 4ft location accuracy, leading to more useful insights in spaces even under 100 sq. ft in size.
From Wi-Fi signals to actionable insights with AI precision.
InnerSpace ingests raw Received Signal Strength Indicator (RSSI) data from any major Wi-Fi access point provider, and transforms it into actionable space usage insights using our AI-powered location and analytics engines. Insights are then delivered through our analytics dashboard, open API, and app integrations, enabling you to make informed decisions that drive real impact.
If you’re still just counting people, you are falling behind.
People counts are great, but measuring actual behavior and engagement patterns is even better. InnerSpace brings you the best of both, including next-generation space use insights like team behaviors and pathways, so you can make better decisions for your space design and allocation.
Built to integrate.
Designed for immediate value and future flexibility, our platform features APIs and integrations for connectivity with existing workplace or work management ecosystems such as IWMS, Calendars, booking systems, communication apps and more.
Built for privacy and security
InnerSpace believes in privacy and security by design. All personally identifiable data is anonymized and we invest heavily in security to protect the integrity of our systems. InnerSpace is proudly ISO-27001 certified and GDPR compliant.
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Private by Design
We only collect necessary occupancy data with no personally identifiable information (PII) stored. Device MAC addresses are anonymized using one-way hashes with client-specific salts, ensuring original addresses are discarded and cross-location tracking is prevented.
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Data Aggregation
Data is available only in aggregate form, with individual behavioral patterns obfuscated and anonymized to protect identities. Our practices comply with GDPR regulations, ensuring personal data safety, preventing identity interference and minimizing breach risks.
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Robust Security
Data processing occurs in a secure, virtual private cloud. Regular security assessments and industry-standard tools maintain top-level protection. Certified to SOC2 and ISO27001 standards, we undergo independent audits to verify our security practices.
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Secure Storage
Customer data is stored in Microsoft Azure's East US region, benefiting from encryption in transit and at rest, and strict access controls. Azure's regular security audits ensure ongoing data protection.
Easy Implementation
Configuration
Deploying InnerSpace starts with simple configuration of your Wi-Fi network to begin collecting raw RSSI data. No new devices are installed on the network.
InnerSpace works out-of-the-box with all major AP providers like Arista, Juniper Mist, Cisco, Ruckus, and Aruba, and can be customized to work with most other providers.
Insights Generation & Machine Learning
Shortly after configuration, our user-friendly analytics portal will start providing basic high-level insights. Over next 4-6 weeks, the InnerSpace engine will learn the unique properties of your space, and your teams’ behaviors.
Maintain
Learn from the insights gathered to strategize your next move. Whether it’s adjusting your real estate footprint or reallocating your existing space, InnerSpace helps you make informed decisions to create a more efficient, effective and sustainable workplace.
A tyPICAL INNERSPACE DEPLOYMENT
$1.5 million saved in planned expansion spending
100 staff comfortably added to existing workspace
1:1.3 to 1:1.57 employee:desk ratio increased
"I spent two years scouting the globe for technology and didn’t find any product that could support our scale and provide me with the data I need – until I found InnerSpace. I love the team and I have big plans for their product."
- Humza Teherany, Chief Digital Officer, MLSE
