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Won by treating floor plans as structured, queryable data rather than static images, letting facilities managers and proptech platforms build on a standardized spatial dataset instead of each reinventing their own.
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MODEL
BUSINESS MODEL
API Platform, Data Platform
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HOW THEY BUILT IT
- Founded in 2014 in Zurich by four co-founders with architecture backgrounds who first ran an architecture firm (AERO Architekten) before pivoting to a technology and automation venture.
- Raised a modest $2.3M across multiple funding rounds, including a Series A investment from Carrier (the HVAC/building-systems giant) in 2022, reflecting strategic rather than pure financial investor interest.
- Built the 'Space Graph,' a graph-based data model that turns static floor plans (PDFs, CAD files) into standardized, AI-queryable spatial data, now managing over 40 million square feet across 2,000+ floors monthly for enterprise customers including Microsoft and Allianz.
HOW TO ARCHITECT IT
1. Convert an unstructured, static asset (a floor plan PDF) into structured, queryable data - the data model itself becomes the product, not just the visualization.
2. Seek strategic investors from adjacent industries (a building-systems company like Carrier) rather than only financial VCs, since they bring distribution and product validation a pure-financial investor can't.
3. Build SDKs and APIs alongside the core product early, so third-party proptech platforms can build on your spatial data rather than each building their own from scratch.
DISTRIBUTION MODEL
API Distribution, Platform Integrations, Direct Sales
dm
HOW THEY OPERATIONALIZED
- Launched on AWS Marketplace to expand accessibility and reach a broader base of enterprise buyers already procuring through that channel.
- Integrates with workplace management systems like ServiceNow, Slack, and Microsoft Places, embedding itself into tools facilities teams already use daily.
- Partners with proptech platforms (Vanti, Kadence, Freespace, HqO) that build on Archilogic's spatial data rather than each building their own floor-plan infrastructure.
HOW TO REPLICATE WHAT WORKED
What worked: building a genuinely reusable data infrastructure layer (the Space Graph) rather than a single-purpose visualization tool, so unrelated proptech companies became distribution partners instead of competitors.
The trap: at just $2.3M raised and roughly 15 employees, Archilogic operates at a fraction of the scale of larger proptech competitors like Matterport - a founder pursuing this same infrastructure-layer strategy needs to be realistic that owning a valuable niche doesn't guarantee the capital or team size to become a category leader quickly.
| PATTERNS OF THIS MODEL
PATTERNS IN CONVERTING UNSTRUCTURED ASSETS INTO QUERYABLE DATA:
1. THE DATA MODEL IS THE PRODUCT, NOT THE VISUALISATION. Turning static documents into structured, machine-queryable information is what others build on and pay for.
2. TAKE STRATEGIC INVESTMENT FROM ADJACENT INDUSTRIES, not only financial investors. Industrial partners bring distribution and product validation a fund cannot.
3. SHIP SDKs AND APIs ALONGSIDE THE CORE PRODUCT EARLY so third-party platforms build on your data rather than duplicating it.
4. STRUCTURED DOMAIN DATA IS THE INPUT AI-ERA TOOLING NEEDS. In any professional category, ask whether you own a machine-readable model of the domain or merely an interface to it.
What companies with this model reveal
| OPPORTUNITY INTELLIGENCE
GOLDMINE 1 — CONVERT AN UNSTRUCTURED ASSET INTO QUERYABLE DATA.
Standard: turning static floor plans and CAD files into a graph-based spatial model makes the data model the product, not the visualisation. Ask of any category: what is trapped in PDFs that machines should be able to reason over?
GOLDMINE 2 — TAKE STRATEGIC CAPITAL FROM AN ADJACENT INDUSTRY.
Standard: Carrier's 2022 Series A brought distribution and product validation a financial investor could not. In infrastructure categories, the strategic investor is also a channel.
GOLDMINE 3 — SHIP SDKs AND APIs ALONGSIDE THE PRODUCT.
Standard: proptech platforms will build on your spatial data rather than rebuilding it, which turns competitors into customers.
THE PIT — $2.3M TOTAL RAISED IS A DATA-INFRASTRUCTURE THESIS ON A SEED BUDGET.
Managing 40M+ square feet monthly for Microsoft and Allianz is real traction on capital that cannot fund an enterprise sales motion. The capital-to-category mismatch is the recurring killer in AEC software.
THE SECOND PIT — BEING THE DATA LAYER MEANS SOMEONE ELSE OWNS THE CUSTOMER.
MOVE WITH CAUTION — A STRATEGIC INVESTOR FROM ONE INDUSTRY NARROWS WHO ELSE WILL PARTNER OR BUY.
Untapped Business Model / Gaps / Goldmines / Pits
Patterns & Insights
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MARKET
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MARKET TYPE
Fragmented Market
WHY THEY WON
Digital twin and spatial-data software for real estate is fragmented among Matterport, Smplrspace, Archilyse, and others, each with different technical approaches. Archilogic won a specific niche by focusing on API-first, structured spatial data (rather than just photorealistic imaging like Matterport) that other proptech platforms could build on. Lesson: in a fragmented market with a dominant imaging-focused player, being the developer-first, data-structured alternative can carve out a defensible niche without competing head-on for the same buyer.
ENTRY STRATEGY
Greenfield Entry
EXECUTION
Archilogic entered directly with its own product built from the founders' architecture background, choosing a genuinely different technical approach (structured graph data vs. Matterport's photorealistic 3D capture) rather than competing feature-for-feature with the established imaging-focused leader.
FOOTHOLD STRATEGY
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Wedge Strategy
Converting a single static floor plan into an interactive, embeddable digital twin for a facilities or real estate marketing team was the wedge - a contained, easy-to-demonstrate use case that then expanded into the broader Space Graph platform and API ecosystem serving developers building their own proptech applications.
GROWTH CAMPAIGN
CAMPAIGNS THAT WORKED
- Launch on AWS Marketplace expanding accessibility to a broader enterprise buyer base.
- Strategic investment from Carrier Ventures in 2022, aligning with the investor's building-systems and sustainability goals.
- Partnerships with proptech platforms integrating Archilogic's spatial data into their own workplace management products.
KEY LEARNING
If your core technology can serve as infrastructure for other companies' products rather than only a standalone end-user tool, build the API/SDK layer early - your most valuable customers may be other software companies distributing your capability to their own users.
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Market Context
| MARKET INTELLIGENCE
THE STANDARD: Where a dominant player owns the imaging approach, being the developer-first structured-data alternative carves a niche without competing for the same buyer.
RULE 1 — PHOTOREALISM AND MACHINE-READABILITY ARE DIFFERENT PRODUCTS. A visual walkthrough serves marketing; structured floor data serves systems.
RULE 2 — SELLING TO BUILDERS RATHER THAN END USERS CHANGES THE ENTIRE MOTION. API-first products are adopted by integration, not by demo.
RULE 3 — BEING INFRASTRUCTURE MEANS YOUR GROWTH IS YOUR CUSTOMERS' GROWTH. You inherit every platform's adoption curve, good and bad.
RULE 4 — SPATIAL DATA IS ONLY VALUABLE IF IT STAYS CURRENT. Buildings change; a one-time capture depreciates without a refresh mechanism.
MARKET TYPE: Fragmented Market (spatial data and digital twins).
| MARKET ENTRY PLAYBOOK
THE STANDARD: CHOOSING A STRUCTURALLY DIFFERENT DATA MODEL FROM THE MARKET LEADER IS A POSITION; MATCHING THEIR OUTPUT IS A FEATURE.
RULE 1 — STRUCTURED DATA BEATS PHOTOREALISM WHEN THE CUSTOMER NEEDS TO QUERY THE SPACE.
Images impress; a machine-readable graph of rooms, walls and assets can be analysed, automated and built upon.
RULE 2 — SELL TO WHOEVER OPERATES THE BUILDING, NOT WHOEVER TOURS IT.
Capture-led vendors serve marketing; structured models serve facilities, planning and workplace analytics.
RULE 3 — AN API-FIRST POSITION MAKES YOU INFRASTRUCTURE FOR OTHERS' PRODUCTS.
Fewer direct customers, deeper dependency, higher retention.
How to enter
| FOOTHOLD STRATEGY PLAYBOOK
THE STANDARD: The narrowest demonstrable transformation is the best wedge — one input, one visibly better output.
RULE 1 — PICK A CONVERSION THAT CAN BE SHOWN IN A SINGLE SCREEN. A static floor plan becoming an interactive, embeddable model needs no explanation and no pilot.
RULE 2 — THE CONTAINED USE CASE IS THE ENTRY, THE DATA MODEL IS THE COMPANY. Structured spatial data is what supports a platform; the viewer is the demonstration.
RULE 3 — DEVELOPERS BUILDING ON YOUR API BECOME DISTRIBUTION YOU DO NOT PAY FOR. Serving builders multiplies reach beyond direct customers.
RULE 4 — VISUALISATION IS EASILY COMMODITISED; THE UNDERLYING SPATIAL RECORD IS NOT. Move value to the data before rendering becomes free.
How to get the first strong position
MARKET PATTERNS & PLAYBOOK
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MONEY
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REVENUE MODEL
Subscription
PRICING MODEL
Tiered Pricing, Subscription Discount Pricing
WHY THEY WON
Tiered SaaS subscription plus an Enterprise tier with custom pricing including SSO/SAML, private instance options, priority support, and deeper integrations - reflecting a genuinely different sales motion for large enterprise real estate portfolios (Microsoft, Allianz) versus smaller proptech or facilities teams.
Entry tiers give access to core floor-plan digitization and the web editor, while the Enterprise tier adds security certifications, private hosting, and dedicated integration support required by large corporate real estate portfolios managing millions of square feet.
TARGET AUDIENCE
CUSTOMER BUYING BEHAVIOUR
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Facility managers and corporate real estate teams at large enterprises; proptech platforms and workplace-management software companies building on Archilogic's spatial data via API; architects and marketing teams needing interactive floor plans for property listings.
Enterprise real estate teams: sales-assisted, procurement-led, evaluated on data security (Archilogic holds ISO 27001 certification) and integration depth. Proptech platform partners: developer-led evaluation of API/SDK capability before committing to build on top of it.
| PRICING INTELLIGENCE
What makes this model effective & make customers pay
Selling a data layer rather than an application means pricing per space processed and letting others build the interface.
RULE 1 — CONVERTING FLOOR PLANS INTO STRUCTURED 3D DATA IS THE PRODUCT; THE VIEWER IS PACKAGING.
Price per square metre or per building processed, because that is where your cost and their value both sit.
RULE 2 — API AND EMBED PRICING REACHES BUYERS YOU COULD NOT SELL TO DIRECTLY.
Property portals, workplace tools and brokers become distribution.
RULE 3 — MACHINE-READABLE SPATIAL DATA IS THE DURABLE ASSET IN A CATEGORY FULL OF VIEWERS.
Anyone can render. Owning a structured model of the domain is what others build on.
RULE 4 — DISCLOSURE IS LIMITED; NO PUBLISHED REVENUE OR CUSTOMER COUNTS.
The structural lesson is the transferable content.
A property or workplace platform is buying a capability it cannot justify building. Infrastructure sold to product companies prices against their engineering cost, not their software budget.
PRICE & REVENUE
| Revenue Risk - The biggest threat to revenue stability
A tiered SaaS base plus custom enterprise contracts means two businesses with different motions, and the enterprise line is where nearly all the revenue concentrates.
Marquee logos are proof and concentration at the same time — a handful of large real-estate portfolios can carry the plan.
Spatial-data products for offices are exposed to an asset class in structural decline; empty buildings do not need digital twins.
Private-instance and SSO requirements raise infrastructure cost per account without raising price proportionally.
No revenue, customer count or retention published.
Where the model can break
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MOTION
Instagram: https://www.instagram.com/archilogic/, Facebook: https://www.facebook.com/archilogic3d, YouTube: https://www.youtube.com/c/ArchilogicVideo, LinkedIn: https://www.linkedin.com/company/archilogic-ag/
GROWTH EXPANSION MODEL
COMPETITIVE STRATEGY
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Platform Expansion, Market Development (New Customer Segments)
HOW THEY EXPAND
Archilogic expanded from a floor-plan visualization tool for real estate marketing into a broader spatial-data infrastructure platform serving facilities management, workplace analytics, and third-party proptech developers - each expansion widening its customer base from real estate agents to enterprise facilities teams and software companies.
Differentiation, Focus Strategy
HOW THEY COMPETE
Archilogic differentiates from imaging-focused competitors like Matterport by focusing specifically on structured, queryable spatial data (the Space Graph) rather than photorealistic visual capture, targeting developers and enterprise facilities teams who need to build applications on top of the data rather than simply view a space.
GROWTH ENGINE
GTM
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Partnership Growth, API Ecosystem Growth
Partner proptech platforms (Vanti, Kadence, Freespace, HqO) build their own products on top of Archilogic's Space Graph API, meaning each new partner integration extends Archilogic's reach into that partner's existing customer base without direct sales effort; this weakens if a partner decides to build its own spatial-data layer in-house rather than continuing to rely on a third party.
- Content marketing through blog posts and product updates highlighting new platform capabilities.
- Active LinkedIn presence sharing product launches, certifications (ISO 27001), and partnership announcements.
- Partnership co-marketing with proptech platforms that integrate Archilogic's data into their own products.
SUSTAINING MOATS
Switching Costs, High Customer Lock-In, Brand Power, Technology Advantage (complex enterprise scenarios)
moat
The standardized, graph-based spatial data model built up across 2,000+ floors and 40 million+ square feet becomes more valuable to enterprise customers and AI applications the more buildings are digitized into it, and switching to a competitor would mean re-digitizing that entire portfolio into a different, incompatible data structure.
| MOAT INTELLIGENCE
THE STANDARD: Converting existing buildings into structured 3D data is a services problem disguised as a software product, and the moat is whichever conversion cost falls fastest.
RULE 1 — THE MODEL LIBRARY IS THE ASSET, NOT THE VIEWER. Every floor plan converted into usable spatial data is permanent inventory. The rendering technology around it is replicable.
RULE 2 — MOST BUILDINGS PREDATE DIGITAL DESIGN, WHICH IS THE ENTIRE OPPORTUNITY. Existing stock has drawings, not models, and the gap between the two is where the value sits.
RULE 3 — SELLING SPATIAL DATA AS AN API MAKES OTHER COMPANIES' PRODUCTS DEPEND ON YOU, which is a stronger position than competing with them for the end customer.
THE SIGNAL: automated conversion accuracy is the only metric that matters. When machine conversion becomes reliable, the accumulated library loses scarcity — so the race is to build indispensable distribution before the conversion cost approaches zero.
Why this company remains defensible
ARR & TAKEAWAY
ARR Journey - what to do at each stage
PRE-$1M ARR — SELL THE 3D FLOORPLAN AS AN API, NOT AN APP
Developers building real estate, workplace and retail products need spatial data and will not build a 3D engine. Being infrastructure is a narrower, more defensible position than being a tool.
Convert existing 2D plans automatically — the conversion pipeline is the actual asset.
$1–5M ARR — PRICE PER SPACE PROCESSED
The unit should be the floorplan, matching both your cost and the customer's portfolio.
WATCH: spaces converted per customer per month.
$5–10M ARR — LAND THE PLATFORMS, INHERIT THEIR CUSTOMERS
One workplace or listing platform embedding you carries thousands of buildings.
NOTE: revenue not disclosed; reported funding varies by source.
$10–50M ARR — THE PLATFORM DEPENDENCY IS THE RISK
Customers who embed you can also decide to build it. Depth in conversion accuracy is the defence.
$50–100M ARR — NOT IN EVIDENCE
Spatial data is a component market; scale typically arrives via acquisition by a proptech or design platform.
$100M+ ARR — NOT IN VIEW
Rule: choosing to be infrastructure rather than an application narrows your buyer and deepens your defensibility. Price on the unit you process, not the seat.
COPY PLAYBOOK : What Worked → What Failed → What to Replicate → What to Avoid
THE STANDARD: Building a reusable data infrastructure layer turns potential competitors into distribution partners. Owning a valuable niche does not confer the capital to lead a category.
SEQUENCE:
1. Build the underlying structured data layer, not a single-purpose visualisation.
2. Let other companies in your sector build on it, so they distribute you.
3. Be realistic about the scale that a small raise supports.
WORKED: An infrastructure layer that made adjacent companies partners rather than rivals.
CAUTION:
1. A GOOD INFRASTRUCTURE STRATEGY DOESN'T FUND ITSELF. At roughly $2.3M raised and about 15 people, this operates at a fraction of the scale of the category's larger players — being right and being resourced are different things.
2. INFRASTRUCTURE BUSINESSES NEED PARTNERS TO SUCCEED, so your growth is downstream of theirs.
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