CERPRO
AI SaaS automating manufacturing quality assurance from technical drawings
Website: https://cerpro.io/en/
Cover Block
PUBLIC
| Name | CERPRO |
| Tagline | AI SaaS automating manufacturing quality assurance from technical drawings |
| Headquarters | Berlin, Germany |
| Founded | 2023 |
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry | Deeptech |
| Technology | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding Label | Pre-seed (total disclosed ~$2,170,000) |
Links
PUBLIC
- Website: https://cerpro.io/en/
- LinkedIn: https://www.linkedin.com/company/cerpro-gmbh
Executive Summary
PUBLIC
CERPRO is a Berlin-based startup automating quality assurance for manufacturing SMEs, a process that remains stubbornly manual and time-intensive in critical sectors like aerospace and medical devices [EIT Manufacturing, April 2024]. Founded in 2023, the company has developed a cloud-based SaaS, Quali Spec, which uses AI to extract features from technical drawings, a task that can otherwise take hours, and generate inspection reports in minutes [EIT Manufacturing, April 2024]. The founding team, Sascha Müller, Henrik Pitz, and Frederik Frei, combines backgrounds in industrial engineering, software, and quality management, a mix that aligns with the product's technical demands [Startbase] [PresseBox, Dec 2025]. The company's €2 million pre-seed round in late 2025, led by D11Z Ventures and supported by the German Accelerator program, provides capital to scale the team and product following a launch in December 2024 [EU-Startups, Nov 2025]. Over the next 12-18 months, the key signals to monitor are the conversion of its reported base of over 100 piloting SMEs into paying contracts and the expansion of its platform vision to become a collaborative hub connecting OEMs and their suppliers [Startbase] [EIT Manufacturing, April 2024]. The bet hinges on whether the software can consistently deliver the claimed 80% acceleration in workflows at a price point that resonates with cost-conscious manufacturers [EU-Startups, Nov 2025].
Data Accuracy: YELLOW -- Core product and funding details are confirmed by multiple sources; customer traction and team details are partially corroborated.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry / Vertical | Deeptech |
| Technology Type | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding | Pre-seed (total disclosed ~$2,170,000) |
Company Overview
PUBLIC
CERPRO GmbH was founded in Berlin in 2023, emerging from the EIT Manufacturing ecosystem with a focus on applying artificial intelligence to a specific, manual-laden industrial process [EIT Manufacturing, April 2024]. The company's founding narrative centers on automating quality assurance for complex, low-volume manufacturing, a problem the founders identified within regulated sectors like aerospace and medical devices. The legal entity is registered at Dolomitenstraße 97 in Berlin [CERPRO].
Key operational milestones followed a typical early-stage cadence. The company developed its initial product, Quali Spec, and launched its cloud-based SaaS platform in December 2024 [Startbase]. This launch was followed by a pre-seed funding round of €2 million (approximately $2.17 million) in November 2025, which was led by an undisclosed investor and supported by D11Z. Ventures [EU-Startups, Nov 2025]. The capital injection was immediately directed toward team expansion, with the company reportedly doubling its headcount within a month of the announcement [LinkedIn (Sascha Müller), Dec 2025].
CERPRO has also engaged with structured accelerator programs, including German Accelerator and AI Nation, which provided early-stage validation and network access [Tracxn, 2025]. The company gained further industry exposure by exhibiting at the EMO Hannover trade fair in 2025, positioning its collaborative quality platform to a global manufacturing audience [EMO Hannover, 2025].
Data Accuracy: GREEN -- Founding year, location, funding round, and key milestones corroborated by multiple independent sources including EU-Startups, EIT Manufacturing, and LinkedIn.
Product and Technology
MIXED
The product is a cloud-based software-as-a-service solution that can be accessed via a web browser, requiring no installation of software or special hardware [CERPRO]. This delivery model is a foundational choice, positioning the tool for quick adoption within small and medium-sized manufacturing enterprises where IT overhead is a constraint.
The core automation, branded as Quali Spec, uses artificial intelligence to extract critical features from technical drawings. This process, which the company states enables quality assurance in minutes instead of hours, targets the manual steps of feasibility analysis, ballooning, and the creation of quality documents [EIT Manufacturing, April 2024]. The claimed workflow acceleration of up to 80% is attributed to this automation [EU-Startups, Nov 2025].
Beyond the initial drawing analysis, the public vision describes a collaborative quality platform. It aims to connect OEMs and suppliers to work together, particularly in highly regulated industries such as aerospace, medical technology, and defence, serving as a single source of truth for quality documents [EMO Hannover, 2025]. The technology stack is not detailed publicly, but job postings for roles in Berlin list requirements for experience with Python, FastAPI, React, and cloud infrastructure, which suggests a modern web application architecture (inferred from job postings).
Data Accuracy: YELLOW -- Core product claims are cited from the company website and an industry body, but technical specifications and architecture details are not independently verified.
Market Research
PUBLIC The pressure to digitize quality assurance in manufacturing is not a new ambition, but the convergence of AI model capabilities, cloud adoption, and acute labor shortages in skilled trades has made the problem both more urgent and more technically solvable. CERPRO's target segment sits at the intersection of several high-stakes, slow-to-change industrial sectors where manual processes remain stubbornly entrenched.
A specific total addressable market (TAM) figure for AI-driven quality assurance from technical drawings is not cited in available sources. However, the broader market context is instructive. The global market for manufacturing quality management software was valued at approximately $9.5 billion in 2023 and is projected to grow to over $16 billion by 2030, according to a report from Grand View Research [Grand View Research, 2024]. This analogous market includes broader enterprise quality management suites (EQMS) and statistical process control (SPC) software. CERPRO's more focused wedge,automating the interpretation of 2D technical drawings for inspection planning,addresses a critical bottleneck within this larger software category, particularly for small-batch, high-complexity production.
Key demand drivers for this specific solution are identifiable from the company's positioning and industry coverage. The primary tailwind is the persistent shortage of skilled quality engineers and technicians capable of manually interpreting complex drawings, a problem acutely felt by small and medium-sized manufacturers [EIT Manufacturing, April 2024]. A secondary driver is the push for supply chain digitization, especially in regulated industries like aerospace and medical devices, where OEMs seek greater visibility and control over supplier quality processes [EMO Hannover, 2025]. The promise of accelerating workflows by up to 80%, as cited in CERPRO's funding announcement, directly addresses the cost and time pressures these manufacturers face [EU-Startups, Nov 2025].
Adjacent and substitute markets create both opportunity and friction. On one side, the broader computer-aided manufacturing (CAM) and product lifecycle management (PLM) software markets are natural adjacencies; integration with these established systems would be a logical expansion path. The primary substitute, however, is not a software product but the status quo: continued reliance on manual, paper-based processes and legacy, non-integrated desktop tools. This inertia is a significant market headwind, compounded by the conservative procurement cycles and stringent validation requirements in CERPRO's named target sectors of defense and medical technology.
Regulatory and macro forces cut both ways. Industries like medical devices and aerospace are governed by strict quality standards (e.g., ISO 13485, AS9100), which create a compliance burden that software can help manage but also impose a high barrier for new software validation. Geopolitical trends favoring regionalized, resilient supply chains in Europe could benefit a Berlin-based vendor targeting European SMEs. Conversely, economic downturns that squeeze capital expenditure budgets at smaller manufacturers could slow adoption of new SaaS tools, pushing any ROI calculation to the forefront.
Manufacturing Quality Management Software (Global) | 9.5 | $B
Projected Market by 2030 | 16.2 | $B
The projected growth of the broader quality management software market, while not specific to CERPRO's niche, indicates sustained investment tailwinds and a large enough addressable pool to support a focused vendor. The key question is the served available market (SAM) for AI-driven drawing interpretation, which remains unquantified in public sources.
Data Accuracy: YELLOW -- Market sizing is drawn from an analogous, third-party industry report. Demand drivers and sector focus are corroborated by multiple company and ecosystem sources.
Competitive Landscape
MIXED
CERPRO enters a competitive map defined not by a single direct rival but by a fragmented set of manual processes, incumbent software suites, and emerging point solutions.
The company's primary competition is the status quo: manual quality inspection processes conducted by human experts using spreadsheets, PDFs, and legacy drawing tools. This entrenched method is time-consuming and error-prone but carries zero software cost and deep institutional knowledge [EIT Manufacturing, April 2024]. The first layer of software competition comes from adjacent substitutes. These include Computer-Aided Design (CAD) and Product Lifecycle Management (PLM) platforms like Siemens Teamcenter, Dassault Systèmes' 3DEXPERIENCE, and PTC's Windchill. These systems manage technical drawings and bill-of-materials data but are not purpose-built for automated feature extraction and inspection planning; they are infrastructure, not specialized workflow tools. A second adjacent layer consists of quality management system (QMS) software such as ETQ Reliance, Sparta Systems, and Intelex. These platforms manage compliance and audit trails but typically lack native AI for interpreting technical drawings, requiring manual data entry.
No named direct competitors were identified in the cited sources. The absence of a clear, funded competitor claiming the same AI-for-drawings wedge suggests CERPRO may be operating in an early, whitespace segment of manufacturing tech. This could indicate either first-mover advantage or validation risk, where the problem is not yet widely recognized as software-addressable.
CERPRO's stated defensible edge rests on its proprietary AI model trained to parse technical drawings, a task combining computer vision and domain-specific manufacturing knowledge. The company claims this automation accelerates workflows by up to 80% [EU-Startups, November 2025]. This edge is perishable if not fortified. The technology could be replicated by larger incumbents (e.g., CAD vendors) integrating similar AI features, or by well-funded AI startups applying large language models to engineering documents. Durability likely depends on the speed of dataset accumulation from early customers and the complexity of the domain logic encoded, which may create a data moat in highly regulated sectors like aerospace and medical devices.
The company's most significant exposure is its narrow focus on SMEs within complex, low-volume manufacturing. This limits its total addressable market in the near term and may slow distribution compared to vendors with existing enterprise sales channels. Furthermore, its cloud-based, no-hardware model [CERPRO] could face adoption hurdles in defense and aerospace sectors with stringent data sovereignty and air-gapping requirements, potentially ceding those segments to on-premise solutions.
A plausible 18-month scenario sees the competitive landscape crystallizing. If CERPRO successfully converts its early SME pilots into referenceable enterprise contracts in medical technology or aerospace, it becomes an attractive acquisition target for a PLM or QMS incumbent seeking AI capabilities. The winner in this scenario would be a company like Siemens, acquiring to accelerate its Xcelerator portfolio's AI features. The loser would be generic AI startups applying broad document understanding to manufacturing without deep feature-extraction specificity, as they fail to achieve the necessary accuracy for regulated inspection processes.
Data Accuracy: YELLOW -- Competitive analysis is inferred from product claims and market segments; no direct competitors are named in public sources.
Opportunity
PUBLIC
If CERPRO's technology proves reliable in regulated manufacturing environments, the company could establish a new standard for quality assurance, moving from a point solution for drawing analysis to the central platform connecting OEMs and their supply chains.
The headline opportunity is to become the default collaborative quality platform for complex, low-volume manufacturing in Europe. The company's stated vision, as reported by EIT Manufacturing, is a centralized, cloud-based platform that bridges the gap between OEMs and contract manufacturers, acting as a single source of truth for quality documents [EIT Manufacturing, April 2024]. This outcome is reachable because the initial wedge,automating the manual, error-prone process of analyzing technical drawings,addresses a documented pain point in sectors like aerospace and medical devices where quality checks are still predominantly manual [EIT Manufacturing, April 2024]. By starting with this specific workflow, CERPRO can embed itself within a supplier's quality process, creating a natural path to expand into adjacent documentation, supplier communication, and predictive analytics.
Growth from a workflow accelerator to a platform hinges on a few concrete scenarios. Each path leverages the company's early focus on highly regulated, collaborative industries.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| OEM Mandate | A major aerospace or medical OEM standardizes on CERPRO's platform for all supplier quality documentation, driving top-down adoption across its supply chain. | A successful pilot with a tier-1 supplier leads to a formal partnership announcement. | The company explicitly targets OEMs and contract manufacturers, positioning its software as a collaborative platform for these exact relationships [EMO Hannover, 2025]. |
| Regulatory Adjacency | CERPRO's data structure and audit trail become a de facto compliance tool for industry-specific regulations (e.g., AS9100, ISO 13485), locking in users. | The product develops and certifies a module for automated audit report generation. | The founders' backgrounds combine industry and quality management expertise [Startbase], suggesting familiarity with regulatory frameworks. |
| Geographic Expansion | After solidifying its position in the German Mittelstand, the company replicates its model in another European manufacturing hub like Northern Italy or Poland. | Participation in the German Accelerator program provides network access to international corridors [German Accelerator]. | The SaaS delivery model (cloud-based, browser-accessible) lowers geographic barriers to entry [CERPRO website]. |
Compounding for CERPRO would manifest as a data and workflow moat. Each technical drawing processed adds to a proprietary dataset of manufacturing features and tolerances. This dataset could improve the AI's accuracy for feature extraction and, in the longer term, enable predictive quality analytics,a capability mentioned in the company's roadmap [EIT Manufacturing, April 2024]. Furthermore, as more suppliers and OEMs join the platform, the network effect increases: an OEM is more likely to adopt a platform already used by several of its key suppliers, and a supplier is incentivized to use the platform demanded by its largest customers. Early traction, cited as over 100 SMEs using the platform since launch, represents the initial user base required for this flywheel to begin [Startbase].
The size of the win can be framed by looking at the value of digitizing quality processes in its target verticals. While no direct public comparable exists, the opportunity cost is significant. The company claims its technology can accelerate industrial workflows by up to 80% [EU-Startups, Nov 2025]. In aerospace and medical device manufacturing, where quality assurance is a critical, non-negotiable cost center, software that demonstrably reduces time and error could command premium pricing. If the OEM Mandate scenario plays out and CERPRO captures a material portion of the supplier quality management software spend within the European aerospace and medical technology sectors, a successful outcome could see the company valued as a specialized vertical SaaS leader. This is a scenario, not a forecast, but it outlines the potential scale if the platform vision is realized.
Data Accuracy: YELLOW -- Core vision and early traction claims are cited from industry and news sources; growth scenarios and compounding effects are logical extrapolations from stated strategy.
Sources
PUBLIC
[EIT Manufacturing, April 2024] CERPRO: Revolutionising quality assurance with AI | https://www.eitmanufacturing.eu/news-events/news/cerpro-revolutionising-quality-assurance-with-ai/
[CERPRO] Intelligent Software for SME Manufacturers - CERPRO | https://cerpro.io/en/
[EU-Startups, Nov 2025] Quality assurance German startup CERPRO raises €2 million to accelerate industrial workflows by up to 80% | https://www.eu-startups.com/2025/11/quality-assurance-german-startup-cerpro-raises-e2-million-to-accelerate-industrial-workflows-by-up-to-80/
[Startbase] CERPRO | https://www.startbase.com/startups/cerpro
[PresseBox, Dec 2025] CERPRO GmbH | https://www.pressebox.com/company/cerpro-gmbh
[LinkedIn (Sascha Müller), Dec 2025] Sascha Müller - alphalist | https://www.linkedin.com/in/saschamuller/
[Tracxn, 2025] CERPRO - 2025 Company Profile, Team, Funding & Competitors | https://tracxn.com/d/companies/cerpro/__GrK76Qpm4iecQfxKEhunsO6MX5chh-I3YO_WdKLoP5Q
[EMO Hannover, 2025] CERPRO - EMO Exhibitor 2025 | https://visitors.emo-hannover.de/exhibitor/cerpro/069703
[Grand View Research, 2024] Manufacturing Quality Management Software Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/manufacturing-quality-management-software-market-report
Articles about CERPRO
- CERPRO's AI Takes the Ballpoint Pen Out of Aerospace Quality Checks — The Berlin startup's cloud software promises to cut inspection times from hours to minutes, targeting a stubbornly manual corner of German manufacturing.