Spotable
AI-powered software for roofing and facade contractors to measure buildings and generate quotes.
Website: https://spotable.com/resources/company/about
Cover Block
Publicly reported
| Field | Value |
|---|---|
| Company | Spotable |
| Tagline | AI-powered software for roofing and facade contractors to measure buildings and generate quotes. |
| Headquarters | Ghent, Belgium [Tech.eu, September 2026] |
| Founded | 2024 [Tech.eu, September 2026] |
| Stage | Seed [Tech.eu, September 2026] |
| Business model | SaaS |
| Industry | Proptech |
| Technology | AI / Machine Learning |
| Geography | Western Europe |
| Growth profile | Venture Scale |
| Founding team | Co-Founders (3+) [Tech.eu, September 2026] |
| Funding label | Seed, total disclosed approximately $6,650,000 [Tech.eu, September 2026] [The Harbour, October 2026] [Spotable, September 2026] |
Links
Publicly reported
- Website: https://spotable.com
Summary and Signal
PUBLIC Spotable builds AI software for roofing and facade contractors that turns a building address into digital measurements, material take-offs, and a customer-ready quote, and it merits attention now because it has moved from student project to seed-backed commercial platform in roughly two years while reporting early customer adoption in a large, still fragmented contractor workflow [Tech.eu, September 2026] [Construction Industry AI, October 2026] [Spotable].
The company was founded in Ghent in 2024 by Sebastien Vandendriessche, Julie Dumoulin, and Pieter-Jan Philips, with Tech.eu reporting that the founders started the business as students at Wintercircus and launched a first product version roughly three months later [Tech.eu, September 2026]. That speed is notable, but the more material point is the workflow wedge: Spotable is not only measuring roofs and facades from geospatial and 3D data, it also embeds distributor and manufacturer catalogues and pricing into quote generation, which places it closer to the commercial front end of contractor operations than a point measurement tool alone [Construction Industry AI, October 2026] [Spotable].
Founder-role fit looks directionally credible from the public record. The Harbour identifies Vandendriessche as CEO with construction-sector exposure, Dumoulin as CRO leading sales, and Philips as CTO with architectural engineering training and AI engineering experience, a mix that matches the product's technical and go-to-market requirements even if most biographical detail remains company-adjacent rather than independently profiled [The Harbour, October 2026] [LinkedIn, retrieved 2026].
On financing, the public record points to multiple rounds culminating in a €4 million seed round announced in September 2026 with participation from NewSchool-linked Christophe Morbee, Jonas Dhaenens, Hilde Cloostermans, Philip Corens, and Arne Vandendriessche, following earlier financing packages described by The Harbour and the company [Tech.eu, September 2026] [The Harbour, October 2026] [Spotable]. The business model is SaaS, and the company says it has reached 350 customers, 30 employees, and more than 10 million square metres of roof modelled, figures partially echoed by third-party coverage but still anchored primarily in company disclosures [Spotable] [quasa.io, retrieved 2026].
Over the next 12 to 18 months, the key questions are less about category interest than execution discipline: whether Spotable can convert early Benelux traction into repeatable expansion in France, Germany, and the United States, whether catalogue-integrated quoting becomes a durable system of record for contractors, and whether product accuracy can support scaled usage given the company's own terms place verification responsibility on customers [Tech.eu, September 2026] [Construction Industry AI, October 2026] [Spotable].
One source, partially checked -- Core company identity, product scope, and seed financing are supported by multiple public sources, but several operating metrics and team-background details remain partly company-sourced or only partially corroborated.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | SaaS |
| Industry / Vertical | Proptech |
| Technology Type | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding | Total disclosed approximately $6,650,000 |
Company Overview
PUBLIC
Spotable presents as a young Belgian construction software company with a fairly tight scope from the outset: it starts at the address level and works backward into measurement, material estimation, and quoting for roofing and facade contractors [Spotable] [Crunchbase]. Public company materials place the business in Ghent, Belgium, and date its founding to 2024, with Sebastien Vandendriessche, Julie Dumoulin, and Pieter-Jan Philips listed as founders [Spotable] [Crunchbase].
The public record also gives a useful sense of early operating velocity, even if most of those claims still come from the company itself. Spotable says it launched an initial version of the platform within roughly three months of founding and, on its current company profile, reports 30 employees, 350 customers, and more than 10 million square metres of roof modelled [Spotable] [Crunchbase]. Those figures are directionally encouraging for a company founded in 2024, but they should still be read as company-reported operating data rather than independently audited disclosures [Spotable].
On financing, Crunchbase and the company profile indicate a progression from early non-seed financings into a larger seed round in 2026 [Crunchbase] [Spotable]. The disclosed rounds in the reviewed record total about $6.65 million, including smaller 2025 and January 2026 raises followed by a September 2026 seed financing, which places Spotable squarely in the venture-backed buildout phase rather than an unfunded tools business [Crunchbase] [Spotable].
No independent source found -- This section relies materially on company website disclosures, with partial corroboration from Crunchbase on founding, location, founders, and financing chronology.
The Product and the Stack
Product surface
MIXED Spotable is selling into a narrow but painful part of contractor workflow: turning a property address into a usable estimate without sending someone onto the roof first. Public product descriptions say the platform uses AI plus geospatial and 3D data to help roofing and facade contractors measure buildings, generate material take-offs, and prepare customer quotes [Spotable] [Tech.eu, September 2026]. Spotable’s own site says the software creates a detailed 3D model of the structure and measures roofs, facades, and related surfaces digitally, while its roofing page says it can calculate surface area, slope, and running meters within seconds [Spotable].
The more commercially interesting layer appears to be the quoting workflow rather than measurement alone. Construction Industry AI reports that Spotable embeds distributor and manufacturer catalogues and pricing into the quoting flow, which would place the product closer to a transactional sales operating system for contractors than a standalone measurement tool [Construction Industry AI, October 2026]. That matters because measurement features can be copied more easily than a workflow tied to supplier data, customer quoting habits, and repeat usage. Spotable also says customers remain responsible for verifying outputs and that it does not guarantee the correctness of results, including 3D measurements, a notable limitation for any product used in construction estimating [Spotable].
Development cadence and operating signals
MIXED The public record suggests a fast initial build cycle, though the evidence is still mostly company-linked or press-derived. Tech.eu reported that Spotable launched its first platform version roughly three months after founding and began commercial sales about a year before its September 2026 funding announcement [Tech.eu, September 2026]. If that timeline is directionally right, the company moved from prototype to field deployment quickly, which fits the current reported scale of 350 customers and more than 10 million square metres of roof modelled, figures cited both on Spotable’s site and by quasa.io in retrieved coverage [Spotable] [quasa.io, retrieved 2026].
Current hiring adds a little texture to how the product may be commercialized, even if it does not reveal much about the engineering stack. Spotable’s careers page lists roles in Strategic Sales & Partnerships, Multilingual Content Marketer, and Growth Marketer, which points to channel development with distributors or suppliers and to cross-border demand generation rather than a purely local services motion [Spotable]. No public source in the materials reviewed verifies the underlying model providers, mapping-data vendors, or infrastructure choices, so any deeper tech-stack discussion would be speculative.
One source, partially checked -- Product workflow is supported by Spotable’s website and Tech.eu, with partial corroboration from Construction Industry AI; several capability details and all scale metrics still rely materially on company-originated claims.
The Market They Are Entering
Market context
PUBLIC The market matters now because roofing and facade contractors are still running a sales and estimating workflow that is expensive in labor, slow to turn around, and increasingly exposed to margin pressure when measurements or material assumptions are wrong, which is exactly the part of the workflow Spotable is trying to digitize [Tech.eu, September 2026] [Construction Industry AI, October 2026].
The available public record does not provide a sourced TAM, SAM, or SOM for Spotable's specific category, and there is no named third-party market report in the materials reviewed that sizes AI quoting software for roofing and facade contractors. What the sources do establish is the buyer wedge: small and midsize roofing and facade contractors that need to measure properties, prepare material take-offs, and generate customer quotes more efficiently from an address rather than a manual site process [Tech.eu, September 2026] [Construction Industry AI, October 2026]. That points to a market definition narrower than general construction software and broader than point-solution roof measurement, with demand anchored in pre-sales efficiency rather than back-office ERP replacement.
The demand drivers in the cited coverage are practical rather than conceptual. Spotable's pitch rests on replacing ladders, drones, and manual calculations with digital measurement and quote generation, then linking that workflow to distributor and manufacturer catalogues and pricing [Spotable] [Construction Industry AI, October 2026]. For contractors, that implies a direct line from time saved in estimation to faster quote response and potentially tighter materials planning, while for suppliers it suggests a route into the contractor workflow before product selection is finalized [Construction Industry AI, October 2026].
The adjacent markets are easier to identify than the core market's size. Spotable sits at the intersection of construction estimating software, geospatial and 3D measurement tools, and contractor commerce software, based on how the product is described in public sources [Spotable] [Construction Industry AI, October 2026]. The company's own workflow description also places it near substitute processes rather than only substitute vendors, since manual roof measurements, spreadsheet-based estimating, and on-site inspection workflows remain the incumbent alternative for many smaller contractors [Construction Industry AI, October 2026] [TodaysStartupNews.com].
The regulatory and macro backdrop is supportive in a narrow sense, though the evidence here is indirect. Public sources tie Spotable's expansion thesis to product development and entry into France, Germany, and the United States, which suggests management sees enough cross-border commonality in contractor quoting pain to scale the model beyond Belgium and the Netherlands [Tech.eu, September 2026]. At the same time, Spotable's own terms state that customers remain responsible for verifying outputs and that the company does not guarantee the correctness of results, including 3D measurements, a reminder that construction software touching scope, materials, and pricing operates under real liability sensitivity even when the software speeds the front end of the job [Spotable].
| Market lens | What public sources support | Evidence |
|---|---|---|
| Core target segment | Small and midsize roofing and facade contractors | [Tech.eu, September 2026] |
| Workflow being digitized | Building measurement, material take-offs, and quote generation from an address | [Spotable] [Construction Industry AI, October 2026] |
| Adjacent market 1 | Construction estimating software | [Tech.eu, September 2026] [Construction Industry AI, October 2026] |
| Adjacent market 2 | Geospatial and 3D building measurement tools | [Spotable] |
| Adjacent market 3 | Distributor and manufacturer catalogue-driven contractor commerce | [Construction Industry AI, October 2026] |
The table is a useful constraint as much as a summary. Public evidence is sufficient to map where Spotable plays and why the workflow has appeal, but not to claim a quantified market size without stepping beyond the record.
One source, partially checked -- Market definition and demand drivers are supported by Tech.eu, Construction Industry AI, and Spotable's public product materials, but no independent third-party market sizing report is present in the reviewed sources.
The Competitive Field
MIXED Spotable appears to sit in a crowded workflow seam rather than a clean category of its own: the company is selling faster measurement and quoting to roofing and facade contractors, but the practical alternatives still include manual site visits, spreadsheets, distributor-assisted estimating, and broader construction software stacks rather than a clearly documented set of direct startup peers in the cited record [Tech.eu, September 2026] [Construction Industry AI, October 2026].
The competitive map therefore has to start with substitutes. At the low end, many small and midsize contractors still piece together estimates through ladders, tape measures, manual calculations, and Excel-style quoting workflows, which is precisely the process Spotable says it is trying to replace [Construction Industry AI, October 2026] [TodaysStartupNews.com]. Adjacent incumbents sit one layer up: distributors and manufacturers already influence product selection and pricing, and Spotable's decision to embed their catalogues into the quoting flow suggests the company is competing not only with software vendors, but also with existing channel relationships that help contractors scope jobs and choose materials [Construction Industry AI, October 2026]. Broader construction software platforms are another substitute category, even if the available sources do not name them directly, because a contractor that already runs estimating or project workflows elsewhere may prefer a bundled tool over a point solution.
Where Spotable has an edge today is less about model novelty than workflow compression. The public case is that a contractor can start with an address, generate a 3D model, calculate roof and facade surfaces, produce material take-offs, and issue a customer quote inside one system [Spotable] [Construction Industry AI, October 2026]. That is a meaningful operational wedge if the product consistently reduces site visits and shortens quote turnaround. The edge looks durable only to the extent that catalogue integrations, user habits, and accumulated measurement data make the tool part of the daily sales motion. It looks perishable if incumbents or distributor-led tools replicate the same quoting workflow, because Spotable's own terms state that customers remain responsible for verifying measurement accuracy and that the company does not guarantee correctness of results, which limits how strong an autonomy claim it can make in the field [Spotable, "Terms"].
The company is most exposed in channels it does not clearly control. The open roles for Strategic Sales & Partnerships and marketing positions imply that distributor, supplier, reseller, and demand-generation channels are still being built rather than already locked in at scale [Spotable, Unknown]. That matters because the strongest named actors around the business today are investors and financing counterparts, including NewSchool, team.blue's Jonas Dhaenens, Belfius, PMV, and The Harbour, not disclosed operating partners with exclusive distribution rights [Tech.eu, September 2026] [The Harbour, October 2026]. In practice, the hardest competitor may not be a single startup. It may be the combination of entrenched distributor relationships and general-purpose contractor software that can add estimating features without asking the buyer to adopt a new workflow from scratch.
The most plausible 18-month scenario is a channel-driven sort. Spotable is the likely winner if contractor acquisition continues to compound through distributor and manufacturer integrations, because that would turn a useful feature set into a repeatable go-to-market advantage and make its reported base of 350 customers more defensible over time [Construction Industry AI, October 2026] [Spotable]. The most plausible loser if that channel strategy stalls is still manual quoting itself, but only if Spotable and similar digital tools can prove enough speed and accuracy to displace it in day-to-day use. If they cannot, incumbent habits remain stronger than product claims. Given the evidence on hand, the near-term contest is less "Spotable versus a named startup rival" than "Spotable versus existing contractor behavior," which is often the slower, tougher market to win [Tech.eu, September 2026] [Spotable, "Terms"].
Opportunity
Upside case
PUBLIC The prize here is not a better roofing calculator, but the chance to become the operating layer that contractors use before any materials are ordered or any field crew is dispatched, a position that can matter financially if quoting becomes the doorway to software spend across a fragmented construction workflow [Tech.eu, September 2026] [Construction Industry AI, October 2026].
The headline opportunity is straightforward. Spotable is trying to compress one of the messier steps in exterior construction sales, measurement, take-offs, and quote creation, into a workflow that starts with an address and ends with a sendable estimate [Construction Industry AI, October 2026] [Spotable]. That matters because the company is not positioning itself as a generic AI assistant for contractors. It is targeting a narrow, repetitive, economically important job for roofing and façade businesses, and it appears to have moved from launch to commercial sales quickly, with its first platform version released roughly three months after founding and sales beginning about a year before its September 2026 seed announcement [Tech.eu, September 2026]. If the public customer count is directionally right, 350 customers within that window suggests the product is addressing a live pain point rather than a speculative one [Spotable] [quasa.io, retrieved 2026].
The route to a larger outcome rests on workflow control. Spotable already connects measurement output to distributor and manufacturer catalogues and pricing, according to Construction Industry AI, which moves it closer to the commercial transaction than a standalone measurement tool would be [Construction Industry AI, October 2026]. In practical terms, that creates a path from point solution to system of record for pre-sales in specialty contracting. For a category like roofing, where estimation speed, material accuracy, and quote consistency directly affect win rates and gross margin, that is the part of the stack where software can become sticky [Spotable] [Construction Industry AI, October 2026].
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Benelux category leader | Spotable becomes the default quoting and digital measurement workflow for roofing and façade contractors in Belgium and the Netherlands, then uses that density to standardize catalogue-led quoting across the region | Continued contractor adoption plus tighter supplier catalogue integrations [Construction Industry AI, October 2026] | The company says it already serves 350 customers and has processed more than 10 million square metres, with activity described as primarily in Belgium and the Netherlands [Spotable] [quasa.io, retrieved 2026] |
| Cross-border contractor OS | Spotable extends from quoting into broader contractor workflows as it enters France and Germany, using the seed financing to localize product and sales | International expansion funded by the September 2026 seed round [Tech.eu, September 2026] | Tech.eu reports the latest round is intended to support product development and expansion, and current hiring includes sales, growth, and multilingual content roles that fit a go-to-market buildout [Tech.eu, September 2026] [Spotable Careers] |
| Channel-led distribution platform | Spotable becomes the digital front end through which distributors and manufacturers reach contractors, with pricing and product data embedded directly inside the estimate | Deeper manufacturer and distributor participation in the quoting workflow [Construction Industry AI, October 2026] | Public reporting already describes distributor and manufacturer catalogues as part of the product, which is the early shape of a channel platform rather than a pure productivity tool [Construction Industry AI, October 2026] |
Those scenarios point to the same compounding mechanism. Each additional quote generated through the system can improve workflow familiarity for contractors, increase the value of integrated catalogues for suppliers, and make Spotable harder to replace once teams build their sales process around its outputs [Construction Industry AI, October 2026] [Spotable]. The company’s own terms make clear that contractors remain responsible for verifying results, so this is not a claim of autonomous accuracy [Spotable, "Terms"]. Still, even with that caveat, the product can compound if it consistently saves time at the top of the funnel and standardizes how sales teams scope jobs. The presence of open roles in strategic partnerships, growth, and multilingual marketing suggests management is already investing in the pieces needed to reinforce that loop, namely channel access, demand generation, and localization [Spotable Careers].
The size of the win is best framed conditionally because no public market-size dataset or directly comparable public peer was provided in the source set. If Spotable were to achieve the "channel-led distribution platform" scenario, the business could become strategically valuable as the software layer connecting specialty contractors, distributors, and manufacturers at the moment of quote creation, especially because that is where product choice and pricing are set [Construction Industry AI, October 2026]. That could support an outcome measured in the high hundreds of millions of euros or more in enterprise value (scenario, not a forecast), but the public evidence here is not strong enough to anchor that to a named comparable or market multiple without overreaching. What can be said with confidence is narrower: a company founded in 2024, selling commercially by roughly 2025, and reaching a reported 350 customers before its September 2026 seed round has at least established the early contours of venture-scale ambition [Tech.eu, September 2026] [Spotable] [quasa.io, retrieved 2026].
One source, partially checked -- This section relies on one independent news source for product and expansion context, plus company-reported customer and usage metrics with partial corroboration from a secondary profile source [Tech.eu, September 2026] [Construction Industry AI, October 2026] [Spotable] [quasa.io, retrieved 2026].
Sources
Publicly reported
[Tech.eu, September 2026] Belgian construction tech Spotable raises €4M for international expansion | https://tech.eu/2026/09/29/belgian-construction-tech-spotable-raises-eur4m-for-international-expansion/
[Construction Industry AI, October 2026] Spotable Raised €4M to Turn a Roofer’s Address Into a Sendable Quote | https://www.constructionindustry.ai/funding/spotable-4m-seed-roof-facade-measurement-quotes/
[The Harbour, October 2026] Funding Case: Spotable - How Spotable raised €1.25M to accelerate AI quotes in construction | https://www.theharbour.be/en/cases/spotable
[LinkedIn, retrieved 2026] Pieter-Jan Philips - Spotable | LinkedIn | https://www.linkedin.com/in/pieter-jan-philips/
[quasa.io, retrieved 2026] Spotable company profile | https://quasa.io/
[Crunchbase] Spotable - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/spotable
[TodaysStartupNews.com] Spotable Raises 4 Million Euros To Take Roofers Out Of Excel And Onto AI Powered Quotes | https://www.todaysstartupnews.com/startups/spotable-4-million-seed-construction-tech-international-expansion
[Spotable Careers] Spotable Careers | https://spotable.com/resources/company/careers
Articles about Spotable
- Spotable's AI Model Has Measured 10 Million Square Meters of Roof — The Ghent startup uses geospatial data to turn an address into a quote, landing 350 contractors and a €4 million seed round.