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Real Estate & Construction
PropTech
Design & CAD Software
Archilogic
Turned static floor plans into a queryable spatial system of record, letting real-estate and workplace teams operate buildings through structured 2D/3D data and APIs—despite CAD files, PDFs and building systems remaining fragmented across owners and vendors.
1
MODEL
BUSINESS MODEL
SaaS
- Spatial-data conversion: Archilogic turns CAD files, PDFs, images and scans into structured, validated floor-plan models.
- Space Graph architecture: walls, doors, rooms, desks and assets become semantic nodes with relationships, making space queryable rather than merely visual.
- Developer infrastructure: the Space GraphQL API, REST outputs in SVG, GeoJSON, IMDF, IFC and GLTF, plus a Floor Plan SDK, let customers build spatially aware applications.
- Workplace operations: integrations with Microsoft Places, ServiceNow, Eptura and Slack connect floor plans to occupancy, workplace and facilities systems.
- Managed onboarding: floor-plan conversion is priced per plan, creating a service-assisted entry point before recurring platform subscriptions.
1. Identify a physical or operational asset that exists as static files but needs to become structured, queryable data.
2. Build a normalization layer before building applications, because inconsistent source formats are the core customer pain.
3. Offer a visible 2D/3D output to prove value quickly, then expose the underlying data through APIs.
4. Price onboarding separately from recurring platform access, because initial digitization has different economics from ongoing usage.
5. Add integrations only after the data model is reliable enough to serve operational systems.
6. Avoid the mis-build: selling 3D visualization without a durable data model; visuals are easy to copy, but a validated spatial graph becomes harder to replace.
DISTRIBUTION MODEL
Archilogic was founded in Zurich in 2014 as an ETH Zurich spin-off focused on converting real-estate floor plans into interactive 3D models for marketing. It raised $1.5 million in 2015 and later shifted from 3D visualization toward a spatial-data platform: the Space Graph, Floor Plan Engine SDK, Space API and integrations with Microsoft Places, ServiceNow, Eptura and Slack. By the mid-2020s, Archilogic managed more than 40 million square feet across 2,000+ floors monthly and served enterprise customers including Microsoft and Allianz.
HOW THEY BUILT IT
HOW TO ARCHITECT IT
Direct Sales, Enterprise Sales, Partnerships, Developer/API-Led
HOW THEY OPERATIONALIZED
HOW TO REPLICATE WHAT WORKED
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- Direct sales targeted real-estate owners, workplace teams and enterprise facilities organizations.
- Microsoft Places, ServiceNow, Eptura and Slack integrations embedded Archilogic into workplace and facilities workflows.
- Developer documentation, Space API and Floor Plan SDK reached product teams building spatial applications.
- Per-floor-plan conversion created a low-friction entry point for owners and operators with existing CAD or PDF assets.
What worked: Use a visible conversion output—interactive floor plans and 3D models—to acquire customers, then retain them through the structured data layer and operational integrations.
Trap if copied blindly: A visualization-led entry can attract one-time conversion buyers; without recurring data updates, APIs and system integrations, revenue remains transactional rather than platform-based.
| PATTERNS OF THIS MODEL
PATTERNS IN SPATIAL DATA-PLATFORM SAAS:
1. VISUALIZATION ACQUIRES; STRUCTURED DATA RETAINS. Matterport, Giraffe and Archilogic use visual models to demonstrate value, but durable value comes from queryable attributes, versions and integrations.
2. NORMALIZATION IS THE BARRIER TO ENTRY. Turning inconsistent CAD, PDF and scan formats into reliable spatial graphs requires domain-specific data work.
3. OPERATIONAL SYSTEMS CREATE EXPANSION SURFACE. Once floor plans connect to occupancy, IWMS and facilities tools, the platform becomes part of building operations rather than a marketing asset.
THE WEAKNESS: Spatial-data platforms depend on accurate source documents and ongoing updates; stale plans reduce trust and make the system of record claim difficult to sustain.
What companies with this model reveal
| OPPORTUNITY INTELLIGENCE
GOLDMINE 1 — SPACE-AS-A-DATA-SERVICE. The opportunity is to sell verified spatial truth to every downstream system: occupancy, security, maintenance, leasing, ESG and AI agents.
GOLDMINE 2 — AI BUILDING OPERATIONS. A semantic Space Graph can let AI answer operational questions—where is the nearest available room, which zone is underused, which assets require service—without manual plan interpretation.
GOLDMINE 3 — PORTFOLIO STANDARDIZATION. Large owners need one spatial schema across acquisitions, regions and building types; standardization is more defensible than individual 3D models.
THE PIT — 3D MARKETING COMMODITIZATION. Interactive floor plans and renders are increasingly easy to generate and do not create durable retention alone.
THE SECOND PIT — MANUAL CONVERSION ECONOMICS. If every floor plan requires human cleanup, scaling revenue requires scaling labor unless automation accuracy improves.
MOVE WITH CAUTION — Do not position a spatial platform as a system of record unless customers trust its update workflow; an outdated floor plan is worse than no system of record because teams may act on false spatial information.
Untapped Business Model / Gaps / Goldmines / Pits
Patterns & Insights
2
MARKET
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Archilogic entered real estate and workplace operations, where floor plans were commonly stored as CAD files, PDFs, images or scans and disconnected from occupancy, maintenance and workplace systems. Its Space Graph converted these artifacts into standardized, queryable spatial data connected to Microsoft Places, ServiceNow, Eptura and Slack. Enterprise adoption by Microsoft and Allianz demonstrated demand for structured building data beyond marketing visualization.
MARKET TYPE
Fragmented Market
ENTRY STRATEGY
Greenfield Entry
WHY THEY WON
Building data is fragmented across architects, owners, brokers, facility managers, IWMS vendors, IoT systems and workplace apps. The structural gap was that floor plans existed as static artifacts rather than shared, machine-readable records. Archilogic exploited that gap by creating a normalized spatial graph and APIs that connect plans to operational systems. Incumbents could create visualizations, but Archilogic changed the basis of competition from presentation to data interoperability. The transferable lesson: in a fragmented physical-asset market, win by becoming the shared data layer between existing systems rather than replacing every system.
EXECUTION
Archilogic entered by creating a spatial-data category rather than replacing CAD or facilities-management systems. Founded in 2014 as an ETH Zurich spin-off, it initially converted floor plans into interactive 3D models for real-estate marketing. The initial bet was that property marketers and owners would pay for fast, web-based 3D visualization. As the market matured, Archilogic expanded the same conversion capability into a structured spatial-data platform. This required computer vision, 3D processing and semantic modeling; it would fail if customers needed survey-grade accuracy or if source plans were too inconsistent to normalize reliably.
FOOTHOLD STRATEGY
Wedge Strategy
Archilogic’s wedge was real-estate marketing teams and brokers who needed to turn static floor plans into interactive 3D presentations. They were reachable through property portals, architectural networks and self-serve floor-plan submission; they could pay because visual presentation affected leasing and sales. Once Archilogic digitized a building, it expanded into workplace planning, facilities operations, spatial APIs and enterprise system integrations.
GROWTH CAMPAIGN
CAMPAIGNS THAT WORKED
SO WHAT: Archilogic’s Microsoft Places integration turns floor-plan digitization into a distribution channel inside a workplace platform already used by enterprises.
KEY LEARNING: A data-layer company grows fastest when its output becomes a required input to an incumbent workflow.
HOW TO USE: If your product creates structured data, identify an established system that needs that data but cannot easily produce it, then become its preferred onboarding or enrichment layer.
KEY LEARNING
THE STANDARD: In a fragmented market, the entrant wins by standardizing the data that existing systems need but cannot easily maintain.
RULE 1 — TARGET THE STATIC ARTIFACT. CAD, PDF and scanned plans were widespread but not usable by modern workplace systems.
RULE 2 — MAKE THE DATA QUERYABLE, NOT MERELY VISIBLE. The Space Graph turns geometry into rooms, assets, relationships and attributes.
RULE 3 — INTEGRATIONS EXPAND THE BUYER SET. Workplace, facilities and AI systems create recurring demand for accurate spatial data.
RULE 4 — FRAGMENTED MARKETS REWARD DATA STANDARDS OVER POINT FEATURES. A shared spatial schema becomes more valuable than another viewer.
MARKET TYPE: Fragmented Market (category).
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Market Context
| MARKET INTELLIGENCE
PATTERNS IN PARTNER-EMBEDDED DATA DISTRIBUTION:
1. PLATFORM INTEGRATIONS CREATE TRUSTED ACCESS. Microsoft Places, ServiceNow and Eptura place Archilogic inside workflows enterprises already use.
2. API ACCESS EXPANDS BEYOND THE ORIGINAL BUYER. A floor plan acquired for marketing can later serve workplace, facilities and AI applications.
3. STANDARDIZED OUTPUT FORMATS REDUCE ADOPTION RISK. IMDF, GeoJSON, IFC and GLTF make the data usable across existing tools.
4. THE WEAKNESS: Partner-led distribution creates dependency on the host platform’s roadmap, data requirements and commercial terms.
| MARKET ENTRY PLAYBOOK
THE STANDARD: Greenfield entry is appropriate when a physical or operational asset exists as unstructured files and a new data model can make it usable across systems.
RULE 1 — Confirm that customers already maintain the asset in static, inconsistent formats.
RULE 2 — Build a visible first output that proves conversion quality quickly.
RULE 3 — Expose the normalized data through APIs before adding broad applications.
RULE 4 — Reject greenfield entry if the source data is too inconsistent or the customer cannot maintain updates after onboarding.
How to enter
| FOOTHOLD STRATEGY PLAYBOOK
THE STANDARD: A wedge strategy begins with one visible, high-value conversion and expands as the platform earns data and workflow access.
RULE 1 — Choose a use case with a clear visual or operational payoff, such as leasing marketing or workplace planning.
RULE 2 — Make the first conversion simple enough for a non-technical user to submit.
RULE 3 — Expand into operations only after the spatial model is accurate and current.
RULE 4 — A wedge fails when the first use case is one-time and creates no recurring data-maintenance need.
How to get the first strong position
MARKET PATTERNS & PLAYBOOK
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MONEY
money rev pri
Archilogic converted early demand for interactive 3D floor plans into paid conversion and subscription revenue. Its public pricing includes a free tier limited to five floor plans, Plus at $24.90 per floor plan per month, Professional at $59 per floor plan per month, and a $329 one-time floor-plan conversion fee. Enterprise plans add SSO/SAML, private instances, priority support and broader integrations.
REVENUE MODEL
Subscription, Service Fee, Licensing Fees
PRICING MODEL
Freemium, Usage-Based Pricing, Custom Enterprise Pricing
WHY THEY WON
Customers pay a one-time conversion fee to digitize floor plans, recurring per-floor-plan subscriptions for hosting and editing, and enterprise fees for APIs, integrations and private deployment. Revenue expands with building portfolio size, active floor plans, API usage and workplace-system integrations. Margin depends on conversion automation, 3D processing and ongoing plan maintenance.
Archilogic charges per floor plan for hosted access and per conversion for digitization. The free tier covers five floor plans; Plus is $24.90 per floor plan monthly, Professional is $59, and conversion is $329 per plan. Enterprise pricing adds SSO, private instances, priority support and integrations. The floor-plan meter aligns price with portfolio size but requires customers to see ongoing value beyond initial visualization.
TARGET AUDIENCE
Commercial real-estate owners and brokers (Plus/Professional; want interactive marketing and leasing visuals); Workplace and facilities teams (Enterprise; want a spatial system of record for operations); Software and workplace-platform teams (API/SDK; want embedded floor plans and spatial data); Architects and designers (Professional; want web-based visualization and handoff).
CUSTOMER BUYING BEHAVIOUR
A broker or owner submits a floor plan for conversion and evaluates the interactive 3D result. Workplace and facilities buyers evaluate data accuracy, integrations, security and API access before expanding across a portfolio. Renewal depends on whether the spatial model remains current and operationally useful.
| PRICING INTELLIGENCE
What makes this model effective & make customers pay
Customers are not buying 3D models; they are buying a trusted, current representation of space that multiple teams and systems can use.
RULE 1 — PRICE THE LIVE ASSET, NOT THE ONE-TIME RENDER. A floor plan has recurring value only when it remains accurate as space changes.
RULE 2 — CONVERSION IS AN ONBOARDING COST, NOT THE BUSINESS. The durable revenue is hosting, updating, querying and integrating spatial data.
RULE 3 — OPERATIONAL SYSTEMS JUSTIFY ENTERPRISE PRICING. Workplace, IWMS and AI use cases value structured data more than marketing visuals.
RULE 4 — ACCURACY IS THE HIDDEN VENDOR COST. Poor source plans require human cleanup, threatening scalability and margin.
The buyer is really buying spatial truth for building decisions, proven by the facilities, workplace and real-estate operations budgets it supports.
PRICE & REVENUE
| Revenue Risk - The biggest threat to revenue stability
Data freshness: Floor plans become outdated after renovations, moves and reconfigurations; stale spatial data undermines the system-of-record claim.
Manual conversion cost: Complex CAD files, scans and inconsistent drawings can require human cleanup, limiting gross margin.
Visualization commoditization: Interactive 3D floor plans and renders are increasingly easy to produce with AI and off-the-shelf tools.
Platform dependency: Microsoft Places, ServiceNow and Eptura integrations create reach but expose Archilogic to partner roadmap and data-standard changes.
Small-market adoption friction: Real-estate and facilities buyers often have long procurement cycles and fragmented ownership of building data.
Archilogic raised about $9.3 million in total funding, including a $1.5 million round in 2015 and Carrier Ventures investment in 2022; current ARR and customer counts are not publicly disclosed and remain unverified.
Where the model can break
4
MOTION
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Archilogic used partnerships to reach enterprise workplace and facilities buyers. Its Microsoft Places integration made it a global mapping integrator using IMDF files and floor plans; ServiceNow, Eptura and Slack integrations connected its spatial data to operational systems. These partnerships extended Archilogic beyond real-estate marketing into enterprise building operations.
GROWTH EXPANSION MODEL
Platform Expansion, Market Development
HOW THEY EXPAND
Archilogic expanded from interactive 3D real-estate marketing into workplace planning and spatial operations. It added the Space Graph, GraphQL and REST APIs, Floor Plan SDK, IMDF/IFC/GeoJSON/GLTF outputs and integrations with Microsoft Places, ServiceNow, Eptura and Slack. The dependency is that every expansion uses the same normalized floor-plan model and spatial-data infrastructure.
COMPETITIVE STRATEGY
Differentiation
HOW THEY COMPETE
Against Matterport, Autodesk, Giraffe 360 and workplace-platform native tools, Archilogic differentiated through a structured, graph-based spatial system of record rather than a scan or visualization alone. Its battleground was enterprise building data; its advantage was converting legacy plans into queryable, API-accessible models. Its constraint was that customers with accurate BIM or modern digital-twin systems may not need conversion.
GROWTH ENGINE
GTM
Content Flywheel
Archilogic converts a customer’s static floor plans into a Space Graph, then connects that data to workplace and facilities systems. Each integrated system increases the value of maintaining accurate spatial data, encouraging portfolio-wide onboarding. Partner ecosystems then bring new enterprise buyers through Microsoft Places, ServiceNow and Eptura. The engine depends on conversion accuracy, plan freshness and integration reliability; it weakens if customers treat the output as a one-time marketing asset.
Archilogic uses a hybrid GTM: self-serve floor-plan conversion acquires brokers, owners and smaller portfolios; direct enterprise sales targets workplace, real-estate and facilities teams; partnerships with Microsoft Places, ServiceNow and Eptura create embedded distribution. The primary motion is enterprise and partner-led, with conversion services acting as the on-ramp. The founder-level implication is that data infrastructure needs a visible first output and a recurring operational system to justify platform pricing.
SUSTAINING MOATS
High Customer Lock-In
moat
The moat is Archilogic’s normalized Space Graph and accumulated spatial-data quality across buildings, floors, rooms and assets. It strengthens as more plans are converted, connected to operational systems and kept current; it weakens if customers maintain plans elsewhere, source data is poor, or rivals achieve comparable semantic modeling at lower cost.
| MOAT INTELLIGENCE
THE STANDARD: A data moat lasts when the data is structured, continuously used and embedded in operational decisions.
RULE 1 — SEMANTIC RELATIONSHIPS BEAT GEOMETRY. Knowing that a desk belongs to a room, floor and asset system creates more value than a 3D mesh.
RULE 2 — INTEGRATIONS CREATE DATA GRAVITY. Once occupancy, service and workplace systems consume the Space Graph, replacement affects multiple workflows.
RULE 3 — PORTFOLIO STANDARDIZATION COMPOUNDS. A consistent schema across buildings becomes valuable at enterprise scale.
THE SIGNAL: Archilogic’s Microsoft Places integration, 40 million-plus square feet managed monthly and enterprise customers such as Microsoft and Allianz show operational adoption; the moat does not protect against outdated plans or customers with mature BIM systems.
Why this company remains defensible
ARR & TAKEAWAY
ARR Journey - what to do at each stage
PRE-$1M ARR — VALIDATE SPATIAL VISUALIZATION. Founded in 2014 as an ETH Zurich spin-off, Archilogic converted floor plans into interactive 3D models for real-estate marketing.
WATCH: Visualization demand needed a path to recurring revenue.
$1–5M ARR — SCALE FLOOR-PLAN CONVERSION. A $1.5 million round in 2015 supported growth of a scalable 3D engine and web-based floor-plan models for brokers, developers and property portals.
WATCH: Manual conversion and 3D production costs constrained scalability.
$5–10M ARR — PIVOT FROM VISUALS TO DATA. Archilogic built the Space Graph, APIs and SDK to turn floor plans into structured, queryable spatial data.
WATCH: The company had to prove data accuracy and maintainable updates.
$10–50M ARR — ENTER WORKPLACE OPERATIONS. Integrations with Microsoft Places, ServiceNow, Eptura and Slack expanded Archilogic from marketing into facilities and workplace systems; it managed more than 40 million square feet across 2,000+ floors monthly.
WATCH: Enterprise data governance and integration support became the constraint.
$50–100M ARR — NOT REACHED or NOT APPLICABLE based on available public disclosure. Archilogic remains a specialized spatial-data company; public ARR evidence for this stage is not available.
$100M+ ARR — NOT REACHED or NOT APPLICABLE based on available public disclosure.
Rule: In physical-asset software, convert a static artifact into a live operational data layer before visualization becomes commoditized.
COPY PLAYBOOK : What Worked → What Failed → What to Replicate → What to Avoid
THE STANDARD: Use a visible conversion output to acquire customers, then retain them by becoming the structured data layer for operational systems.
SEQUENCE:
1. Solve one high-friction conversion from static files to usable digital assets.
2. Build a normalized data model before adding broad applications.
3. Integrate with systems that consume the data repeatedly, creating a reason to keep it current.
WORKED: Archilogic’s interactive 3D floor plans created an accessible entry point, while the Space Graph and Microsoft Places integration moved it into enterprise building operations.
CAUTION: Do not scale manual conversion without improving automation accuracy; labor-intensive onboarding limits margin. Do not market a “system of record” without a reliable update workflow—stale spatial data destroys trust.
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