SprayVision
Hardware and software for industrial paint-shop process control, wet-paint-thickness measurement, and spray-pattern analysis.
Website: https://www.sprayvision.com
Cover Block
Publicly reported
| Field | Value |
|---|---|
| Name | SprayVision |
| Tagline | Hardware and software for industrial paint-shop process control, wet-paint-thickness measurement, and spray-pattern analysis [SprayVision] |
| Headquarters | Ostrava, Czech Republic [SprayVision] |
| Founded | 2018 [SprayVision] |
| Stage | Series A [AIN, June 2024] |
| Business model | Hardware + Software [SprayVision, June 2024] |
| Industry | Deeptech |
| Technology | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth profile | Venture Scale |
| Founding team | Co-Founders (2): Petr Jahn, Vojtěch Roul [SprayVision] |
| Funding label | Series A [AIN, June 2024] |
| Total disclosed funding | $2,170,000 [AIN, June 2024] |
Links
Publicly reported
- Website: https://www.sprayvision.com/
- Product: https://www.sprayvision.com/coating/
- Careers: https://www.sprayvision.com/career/
- News: https://www.sprayvision.com/references-and-news/
- Crunchbase: https://www.crunchbase.com/organization/sprayvision
Summary and Signal
PUBLIC SprayVision builds hardware and software for industrial paint-shop process control, with a focus on wet-paint-thickness measurement, spray-pattern analysis, and coating-process optimization, and it merits investor attention now because it has raised a disclosed Series A round to support global expansion in a category where measurable cost and scrap reduction can matter at the plant level [AIN, June 2024] [SprayVision] [SprayVision]. The company was founded in 2018 in Ostrava, Czech Republic, and public materials position it around a practical operating problem rather than a broad automation narrative: giving paint shops objective process data in workflows that have often depended on manual inspection and trial and error [SprayVision] [LinkedIn].
Its core product set appears centered on SprayCapture®, which the company describes as a hardware-and-software system for daily coating inspection and wet-thickness measurement, while third-party company data also references SprayBrush for parameter identification and thickness-distribution simulation against measured results [SprayVision] [Dealroom]. The differentiation claim, based on the available public record, is not a stand-alone AI layer so much as applied measurement and process-control infrastructure inside paint operations, where reducing waste, rework, and variability should translate more directly into customer ROI if deployments hold up in production [AIN, June 2024] [Startup Kitchen] [SprayVision].
Founding-team evidence is directionally relevant but not fully clean. SprayVision, LinkedIn, and Crunchbase align on Petr Jahn as co-founder and CEO, and the company and LinkedIn identify Vojtěch Roul as CTO and co-founder, both with paint-industry experience, although AIN's June 2024 funding report instead named Giovanni Sala alongside Jahn as founders, leaving a public-source discrepancy that investors should resolve directly [SprayVision] [LinkedIn] [Crunchbase] [AIN, June 2024].
On capitalization, AIN reported a €2 million Series A in June 2024 led by Momenta with participation from J&T Ventures, while the structured funding label converts this to roughly $2.17 million disclosed and Dealroom classifies the same financing as Seed, so round stage should be treated as partially conflicting in the public record even if the financing itself is broadly corroborated [AIN, June 2024] [Dealroom]. The business model is straightforward from the sources: a hardware plus software sale into industrial coating environments, with the commercial case resting on process control, inspection, and paint savings rather than a pure software subscription pitch [SprayVision] [AIN, June 2024].
Over the next 12 to 18 months, the key public markers to watch are whether SprayVision converts its claimed customer footprint into more independently verifiable reference accounts, expands commercial presence outside Central Europe, and demonstrates that named installations and customer logos translate into repeatable adoption across automotive and adjacent industrial segments [SprayVision] [SprayVision] [SprayVision]. The company cites "120+ customers" and paint-cost reductions of up to 20%, but those are company-reported figures, so the underwriting question is less whether the need exists than whether customer outcomes and go-to-market scale can be corroborated beyond company channels [SprayVision] [SprayVision].
No independent source found -- This section relies materially on company website claims and profiles, with partial corroboration from AIN, Crunchbase, Dealroom, and LinkedIn; founder identity and round-stage details contain unresolved public-source conflicts.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Series A |
| Business Model | Hardware + Software |
| Industry / Vertical | Deeptech |
| Technology Type | AI / Machine Learning |
| Geography | Global / Remote-First |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | ~$2,170,000 disclosed |
Company Overview
PUBLIC
SprayVision presents as a focused industrial-coatings company rather than a broad factory software vendor. The public record places the business in Ostrava, Czech Republic, founded in 2018, with a hardware-plus-software model built around paint-shop process control, wet-paint-thickness measurement, and spray-pattern analysis [SprayVision] [Crunchbase]. The same company materials identify Petr Jahn as co-founder and chief executive, while Crunchbase also lists him in the CEO role [SprayVision] [Crunchbase].
The chronology that can be supported from company and company-profile sources is narrow but coherent. SprayVision says it was established in 2018 and positions SprayCapture as its core platform for collecting operational data used in coating inspection and wet-thickness measurement [SprayVision]. Crunchbase categorizes the company as a Series A business, which aligns directionally with the company's own statement that it received investment from Momenta VC, although Crunchbase does not add operational detail beyond the company profile [Crunchbase] [SprayVision].
From an ownership and operating-footprint standpoint, the public picture is still somewhat company-led. SprayVision's own materials say its first deployments were in Czechia, Germany, and the United Kingdom, and that the business has since expanded internationally; those statements describe commercial reach rather than legal structure, and no separate state filing or registry document was provided in the sourced materials for this section [SprayVision]. That leaves the headline company facts reasonably clear, but several governance and entity-level details still resting on first-party disclosure.
One source, partially checked -- Core founding, headquarters, and leadership details are corroborated by SprayVision and Crunchbase, but milestone chronology and operating-footprint details in this section rely primarily on company materials.
The Product and the Stack
Core product surface
MIXED The product story is narrower and more concrete than most industrial AI pitches. SprayVision describes a hardware plus software system built around paint-shop process control, with an emphasis on wet-paint-thickness measurement, spray-pattern analysis, and coating inspection rather than a broad factory platform [AIN, June 2024] [SprayVision, Unknown]. Its flagship platform, SprayCapture®, is described by the company as combining hardware and software to collect operational data for daily coating inspection and wet-thickness measurement [SprayVision, Unknown]. A separate product, SprayBrush, is listed by Dealroom as helping customers identify coating parameters and simulate thickness distributions against measured results, which suggests a workflow that pairs measurement with process tuning, although that description rests on a third-party database entry rather than a primary product page [Dealroom] [SprayVision, Unknown].
The through-line across the public material is measurement first, optimization second. AIN describes the company as focused on spray pattern digitalization, analysis, evaluation, process control, and non-contact thickness measurement [AIN, June 2024]. SprayVision and related company materials add that the systems are intended to reduce trial and error, paint waste, scrap, and emissions, with the homepage claiming paint-cost reductions of up to 20%; that figure should be treated as a company claim rather than an independently verified operating benchmark [SprayVision] [Startup Kitchen] [LinkedIn, retrieved 2026].
What appears established, and what does not
MIXED Public evidence supports the existence of a real product suite and a defined operational use case, but it does not support a detailed technical teardown. There is enough to say SprayVision is selling applied inspection and process-control tooling for industrial coating lines, and that its commercial wedge is objective data capture inside a workflow that has often relied on manual checks and operator judgment [SprayVision, Unknown] [AIN, June 2024]. There is not enough verified public material to describe model architecture, sensor stack, deployment model, data pipeline, or integration depth with plant systems, and no verified demo material in the provided sources resolves those points.
That leaves the technology assessment in a conservative posture. The company is clearly positioning software as an operating layer on top of purpose-built measurement hardware, which is usually the more defensible configuration in industrial QA categories if the hardware produces proprietary process data, but the public record here does not yet establish how differentiated that data layer is versus incumbent metrology or automation vendors. The main positive is that the claimed feature set maps to a costly production problem with direct line-of-sight to waste reduction; the main open question is how much of the value comes from unique sensing and analytics versus implementation and process-change support [SprayVision, Unknown] [AIN, June 2024] [Dealroom].
Thinly sourced -- Product existence and category are corroborated by AIN and company materials, but several important feature claims rely on company descriptions or a single third-party database entry.
The Market They Are Entering
PUBLIC The market matters now because manufacturers are under sharper pressure to reduce material waste, stabilize quality, and document process performance, while industrial coating remains a high-cost, high-variance step in sectors such as automotive and heavy manufacturing [SprayVision, Unknown] [AIN, June 2024]. SprayVision is positioned inside that process-control layer rather than the broader paint market itself, with public materials pointing to spray pattern digitalization, non-contact thickness measurement, and paint-line optimization as the commercial entry point [AIN, June 2024] [SprayVision, Unknown].
Public sources in this record do not provide a named third-party TAM, SAM, or SOM for industrial paint-shop analytics, so any market sizing has to be handled indirectly and conservatively. The available evidence supports a narrower description: SprayVision sells into automotive OEMs, Tier 1 and Tier 2 suppliers, paint shops, paint manufacturers, and adjacent industrial coating operations, and it references automotive, furniture, aerospace, and general industry as served sectors [SprayVision, Unknown]. That makes the relevant addressable market less about all industrial software and more about the installed base of coating lines where wet-thickness measurement, spray-pattern analysis, and process control can affect scrap, throughput, and paint consumption [SprayVision, Unknown] [AIN, June 2024].
| Market sizing lens | Public evidence | Interpretation |
|---|---|---|
| Core wedge | Paint-shop process control, wet-paint-thickness measurement, spray-pattern analysis [SprayVision, Unknown] [AIN, June 2024] | Suggests a focused industrial QA and optimization budget rather than a general factory software purchase |
| Buyer set | Automotive OEMs, Tier 1 and Tier 2 suppliers, paint manufacturers, paint shops, industrial coaters [SprayVision, Unknown] | Indicates multi-vertical potential, though automotive appears to be the strongest visible anchor |
| Claimed footprint | "120+ customers" [SprayVision, Unknown] | Shows some market penetration if accurate, but the figure is company-reported and does not establish revenue scale |
| Economic claim | Paint cost reduction of "up to 20%" [SprayVision, Unknown] | Points to a cost-savings ROI sale, though the upper-end claim is not independently verified |
The useful read from the table is that SprayVision appears to be pursuing a concentrated operational budget inside industrial coating, where a small process improvement can carry measurable financial impact. What remains missing from the public record is a third-party market map that would quantify how large that budget pool is across regions and verticals.
Demand drivers are easier to see than headline market size. SprayVision's own materials repeatedly frame the problem as reducing trial and error, paint waste, scrap, emissions, and process variability through data collection and inspection tooling [SprayVision, Unknown] [LinkedIn, retrieved 2026]. AIN's June 2024 funding coverage describes the company in similar terms, focused on spray pattern digitalization, analysis, evaluation, process control, and non-contact thickness measurement, which at least partially corroborates that the category pitch is operational precision rather than generic factory digitization [AIN, June 2024].
The adjacent and substitute markets are also clear enough from the product description. On one side, SprayVision touches industrial metrology and machine-vision inspection because it measures and evaluates physical coating outcomes rather than only planning workflows [SprayVision, Unknown]. On another, it overlaps with manufacturing execution, line monitoring, and broader quality software where paint shops may already track throughput, defects, or compliance, even if those systems do not directly measure wet thickness or spray behavior [AIN, June 2024] [SprayVision, Unknown].
Regulatory and macro forces are present in the company's framing, but the public evidence here is still mostly indirect. SprayVision and third-party coverage both emphasize reductions in waste and emissions alongside quality and speed, which is consistent with a market shaped by tighter cost control and environmental scrutiny in industrial operations [Startup Kitchen] [SprayVision, Unknown]. Even without a cited statute in this source set, the practical implication is straightforward: when manufacturers are asked to document process stability, reduce material loss, and justify capex with near-term savings, tooling that turns coating performance into measurable data has a clearer procurement path than discretionary software alone [AIN, June 2024] [SprayVision, Unknown].
Thinly sourced -- This section relies mainly on company materials, one independent funding article from AIN, and qualitative inference about adjacent markets. No named third-party TAM, SAM, or SOM study was available in the provided public sources.
The Competitive Field
Positioning
MIXED SprayVision appears to sit in a narrow but credible pocket of the industrial-coatings stack: it is not presented as a general factory software vendor, but as a specialist in paint-shop process control, spray-pattern analysis, and wet-paint-thickness measurement for industrial coating lines [AIN, June 2024] [SprayVision, Unknown].
The available public record does not name direct startup competitors, which limits any hard ranking against peers. That said, the segment map is still visible from the product scope and buyer set. At one end are incumbent coating-equipment, paint, and plant-automation suppliers that already sell into automotive OEMs, Tier 1s, Tier 2s, and industrial paint shops, the same customer environment SprayVision targets [SprayVision, Unknown] [AIN, June 2024]. Adjacent to them are internal process-engineering teams and legacy QA workflows, which remain the default substitute when a plant relies on operator judgment, manual inspection, or periodic measurement rather than continuous data capture. SprayVision's wedge is the promise of objective measurement and process feedback inside that gap, rather than a full repaint of the broader manufacturing software layer [SprayVision, Unknown].
Where the company looks strongest today is specialization. SprayCapture® is described as a hardware-plus-software system for daily coating inspection and wet-thickness measurement, and SprayBrush is described by Dealroom as a tool to identify coating parameters and simulate thickness distributions against measured results [SprayVision, Unknown] [Dealroom]. That positioning suggests a practical deployment angle: sell a targeted process-control tool into a line item with visible waste and quality costs, rather than compete head-on with broad MES, robotics, or enterprise software suites. The edge is potentially durable if the company is accumulating coating-process data across real production environments and converting that into faster tuning, better benchmarks, or switching costs. It is more perishable if the product remains primarily instrumentation and workflow, because larger incumbents with established relationships could fold similar measurement features into existing paint-shop offerings.
The exposure is also clear from the same evidence. SprayVision cites well-known industrial names on its hiring and company pages, including Porsche, BMW, Hyundai, Volkswagen, OPmobility, Magna, AkzoNobel, and BASF, but those references are company-supplied and do not establish the depth, exclusivity, or scale of those relationships [SprayVision, Unknown]. That matters competitively because channel ownership in industrial coatings usually sits with suppliers already embedded in capex decisions, line design, coatings chemistry, or after-sales service. If an incumbent automation vendor or coatings supplier offers a bundled alternative, SprayVision may need to win on measurable ROI and integration speed rather than procurement use. The lack of publicly named independent partners, systems integrators, or direct competitors also leaves an evidence gap around how contested live deals actually are.
The most plausible 18-month scenario is a split market. SprayVision is the winner if buyers keep favoring point solutions that can reduce paint usage, scrap, and trial-and-error without requiring a full systems overhaul, especially as the company uses its June 2024 Series A to support global expansion [AIN, June 2024] [SprayVision, Unknown]. The loser in that case is the status quo of manual tuning and fragmented inspection workflows, which is the substitute SprayVision is implicitly trying to displace [SprayVision, Unknown]. SprayVision is the loser if procurement consolidates around larger existing paint-line vendors that can package sensing, process control, and service under one contract, because the public record does not yet show that the company owns that broader channel. On the evidence available, this is less a contest against a single named startup than a contest against entrenched incumbent relationships and the inertia of how paint shops already run.
One source, partially checked -- Core positioning is corroborated by AIN and SprayVision materials, but direct named competitors are absent from the source set and several commercial signals are company-supplied only.
Opportunity
PUBLIC
The prize here is not a better paint-shop tool but a chance to become the operating layer that industrial coaters use to measure, tune, and gradually automate one of the more expensive and variable steps on a factory line.
The headline opportunity is fairly specific. If SprayVision can turn wet-paint-thickness measurement and spray-pattern analysis into a standard control point inside automotive and adjacent industrial coating lines, it could become the default process-control platform for high-value paint operations across OEMs, suppliers, and coating partners [AIN, June 2024] [SprayVision]. That outcome is reachable, not merely aspirational, because the company already positions itself around daily inspection and operational data collection through SprayCapture®, targets buyers with repeatable multi-site footprints, and says it has crossed 120 customers while naming large industrial accounts on its hiring materials, including Porsche, BMW, Hyundai, Volkswagen, OPmobility, Magna, and AkzoNobel [SprayVision] [SprayVision, Unknown] [SprayVision, Unknown]. The evidence is still weighted toward company disclosures, so caution is warranted, but the commercial shape is visible: a hardware-plus-software system sold into a costly production bottleneck where even moderate savings matter.
A plausible upside case breaks into a small number of scale paths rather than one monolithic bet. The common thread is that each path depends on SprayVision becoming harder to remove once measurement data starts informing daily decisions on quality, scrap, and line settings [SprayVision] [AIN, June 2024].
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Multi-site standard inside automotive groups | SprayVision starts with one paint shop or supplier plant, then expands across additional sites within the same OEM or Tier 1 network | A successful deployment at named automotive or supplier accounts, followed by standardization on process-control tooling across sister plants [SprayVision, Unknown] | The company explicitly targets automotive OEMs plus Tier 1 and Tier 2 suppliers, and its references and hiring pages point to customers with multi-factory footprints such as Magna, Volkswagen, Porsche, and Hyundai [SprayVision, Unknown] [SprayVision] |
| Process-control layer for coating upgrades | The product becomes the default diagnostic and tuning system used when customers change atomizers, paint parameters, or line setups | Continued demand for reducing trial-and-error during line changes and coating optimization [LinkedIn] [SprayVision] | The company frames its value around objective measurement, process control, and faster optimization, which is most useful when plants are making process changes that carry scrap and downtime risk [AIN, June 2024] [SprayVision] |
| Cross-sector expansion beyond automotive | SprayVision takes a proven automotive workflow into adjacent verticals such as furniture, aerospace, and general industry | The June 2024 financing and stated global expansion effort provide resources to broaden sales coverage and references [AIN, June 2024] | SprayVision already markets to multiple served sectors beyond automotive, and the core problem, coating variability and waste, is not unique to one end market [SprayVision] |
The compounding mechanism is data plus process embedding. SprayCapture® is described as a system for collecting operational data used in daily coating inspection and wet-thickness measurement, while SprayBrush is described as helping identify coating parameters and simulate thickness distributions against measured results [SprayVision] [Dealroom]. If that workflow becomes part of routine line management, every deployment can make the next sale easier: first as a proof point inside a customer network, then as a growing repository of measured spray behavior and parameter outcomes, and finally as a reason for integrators, paint shops, and manufacturing teams to keep the same measurement layer in place when lines are reconfigured. The early signs are modest but relevant, namely an existing customer base claimed at 120-plus, named installations on the company news page, and an open international sales role tied to expansion across Europe, North America, and Asia [SprayVision] [SprayVision, Unknown] [SprayVision, Unknown].
The size of the win is harder to anchor because the source set does not provide a verified market-size study or a clean public pure-play comparable. Still, the strategic endpoint is intelligible. If SprayVision were to become a standard process-control vendor across a meaningful share of global automotive paint shops and then carry that position into adjacent industrial coating categories, the resulting business could resemble a high-retention industrial software-and-systems company rather than a point-solution device maker, with value driven by recurring software, replacement hardware, and expansion across factory networks (scenario, not a forecast) [AIN, June 2024] [SprayVision]. The public evidence does not support a defensible valuation range yet, but it does support a more basic upside claim: this is a category where small percentage improvements in paint use, scrap, and setup time can matter enough to justify multi-site adoption if the measurement layer proves reliable in production [SprayVision] [Startup Kitchen].
No independent source found -- This section relies heavily on company materials for customer count, customer names, product capabilities, and commercial expansion signals, with partial independent support from AIN on financing and category description.
Sources
Publicly reported
[AIN, June 2024] Czech startup SprayVision receives $2M to expand global operations | https://en.ain.ua/2024/06/27/sprayvision-secures-2m-series-a-funding-for-global-expansion/
[Crunchbase] SprayVision - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/sprayvision
[Dealroom] SprayVision company information, funding & investors | https://app.dealroom.co/companies/sprayvision
[LinkedIn] PETR JAHN - SprayVision | https://www.linkedin.com/in/petr-jahn-6104a747/
[SprayVision] About SprayVision | https://www.sprayvision.com/about-us/
[SprayVision] Optimize coating processes with data driven approach | https://www.sprayvision.com/coating/
[Startup Kitchen] SprayVision Secures €2 Million Investment to rework Industrial Coating Operations | https://startupkitchen.community/sprayvision-secures-e2-million-investment-to-rework-industrial-coating-operations/
Articles about SprayVision
- SprayVision's Sensors Are Measuring Wet Paint Inside 120 Automotive Factories — The Czech startup's hardware and software platform aims to cut paint costs by up to 20% for customers like Volkswagen and Magna.