What is Matchory's core value proposition for procurement teams?

Matchory focuses on speed and data depth. According to Slide 3, the platform allows buyers to find suitable suppliers in 5 minutes by processing 100% of available data points. This is positioned as a solution for risk mitigation and flexible reaction to delivery problems, providing real-time alternatives when supply chains are disrupted.

How does Matchory acquire and structure its supplier data?

As shown on Slide 3, the company aggregates data from multiple sources including web crawling, trade show lists, trade data, and other registers. It also integrates with third-party platforms like SAP Ariba and EcoVadis. This data is then processed through an AI engine to create a structured database of over 10 million profiles.

What is the 'Open Access' strategy mentioned in the growth slide?

Slide 7 outlines a network effect model where 'Open Access' (free features) attracts a high volume of supplier profiles and buyers. This user growth generates revenue through subscriptions and paid projects, but more importantly, it provides 'Relevance Feedback' that feeds back into the AI/Machine Learning models to optimize matching accuracy.

How does Matchory compare itself to traditional 'Yellowpages' concepts?

On Slide 8, Matchory uses a competitive matrix to show that while traditional 'Yellowpages' concepts have public platforms and paid profiles, they lack global databases, AI-driven real-time updates, and independent supplier rankings. Matchory claims to be the only player offering all these features simultaneously.

Who are the founders of Matchory?

The team consists of CEO Aiko Wiegand (Product & Customer Development), CCO Nils Liskien (Product Owner), and CTO Martin Konradi (Software Engineering). Their academic backgrounds span TU Darmstadt, FH Joanneum Graz, and FU Berlin, covering the necessary mix of engineering, design, and business logic (Slide 12).

Matchory Pitch Deck: All 13 Slides + Teardown

See all 13 slides of the Matchory pitch deck — a 2022 Seed deck — with a slide-by-slide teardown of what the deck does well and where it falls short.

Matchory is a German enterprise software startup that raised a $1.6M Seed round in 2022 to automate supplier discovery. The deck centers on the transition from manual, static procurement lists to a real-time, AI-driven database. By aggregating data from web crawling, trade data, and existing platforms like SAP Ariba and EcoVadis, Matchory claims to cover 90% of the market with over 10 million supplier profiles. The strategy relies on a two-sided monetization model, charging buyers for sourcing solutions and suppliers for premium profiles. While the deck effectively communicates technical supe…

Key takeaways

Matchory claims to have indexed over 10 million supplier profiles, covering an estimated 90% of the market (Slide 3).
The platform reduces the time to find suitable suppliers to just 5 minutes by taking 100% of available data points into account (Slide 3).
A two-sided monetization strategy is employed, targeting buyers for sourcing and suppliers for premium analytics and visibility (Slide 5).
The growth strategy relies on a flywheel where open access leads to more users, which generates better data feedback for AI optimization (Slide 7).
Matchory differentiates itself from competitors by offering 'Realtime' Big Data/AI processing, whereas competitors are cited at 24h to 72h speeds (Slide 8).
The unit economics slide identifies two distinct revenue streams: Sourcing Solutions and Supplier Profiles, though specific dollar values were redacted in this version (Slide 10).
The founding team combines backgrounds in Product Development (TU Darmstadt), Industrial Design (FH Joanneum Graz), and Software Engineering (FU Berlin) (Slide 12).
The deck emphasizes integration with existing procurement giants like SAP Ariba, Jaggaer, and EcoVadis to enhance supply chain transparency (Slide 3).

Matchory Pitch Deck Analysis

Matchory, a German-based enterprise software startup, raised $1.6M in Seed funding in 2022. Their pitch deck focuses on the automation of strategic supplier sourcing, a critical pain point in global supply chain management. The deck is structured to move from the technical capability of their data engine to the business logic of a two-sided marketplace.

Slide 1: Title Slide

The deck opens with a minimalist title slide stating 'Real-time Supplier Discovery' and the mission statement: 'We structure the world’s supplier information.' This immediately positions the company as a data-first organization, drawing a subtle parallel to Google’s mission of organizing the world's information, but applied specifically to the B2B procurement sector.

Slide 3: The Solution and Data Scale

Slide 3 is the core technical value proposition. It illustrates how Matchory ingests data from web crawling, trade data, and trade show lists, as well as integrations with SAP Ariba, Jaggaer, and EcoVadis. The slide highlights three key metrics: 5 minutes to find suitable suppliers, 100% of available data points considered, and a database of +10M supplier profiles covering 90% of the market. This slide effectively addresses the 'Why Now' by focusing on risk mitigation and the need for flexible reactions to delivery problems through real-time data.

Slide 5: Supplier Profiles and Monetization

This slide shifts the focus to the supplier side of the marketplace. Matchory explains how they monetize the supplier side through 'premium profiles and supply chain analytics.' The visual shows a dashboard where suppliers can 'Find potential customers' using customs data and 'Be found by buyers' through optimized company profiles. This demonstrates that Matchory is not just a tool for buyers, but a platform where suppliers have a vested interest in maintaining their data, which helps keep the central database accurate.

Slide 7: Growth and Network Effects

Slide 7 introduces a double-loop flywheel. The first loop shows how 'Open Access' (free features) leads to more users, which drives revenue through subscriptions and paid projects. The second loop shows how more users lead to 'Better Data' (via relevance feedback and AI), which results in 'Product Optimization' and higher matching accuracy. This is a classic venture-scale argument: the product gets better and the competitive moat gets wider as more people use it.

Slide 8: Competitive Market Analysis

The competitive matrix on Slide 8 compares Matchory against 'AI-based Supplier Search' competitors and 'Yellowpages' concepts. The standout differentiator claimed here is 'Realtime' Big Data/AI processing. While other AI competitors are listed as having 24-hour or 72-hour lag times, Matchory claims instantaneous data availability. They also highlight their 'Public Platform' and 'Partner Integrations' as unique combinations that competitors lack.

Slide 10: Unit Economics

Slide 10 breaks down the business model into two segments: Sourcing Solutions (Buyer side) and Supplier Profiles (Supplier side). It lists columns for Pricing, CLTV (Customer Lifetime Value), CAC (Customer Acquisition Cost), and Acquisition Channels. While the specific figures are redacted in this version of the deck, the structure shows a sophisticated approach to tracking unit economics across a two-sided platform. The inclusion of 'CLTV/CAC' as a highlighted metric suggests the founders are focused on capital efficiency.

Slide 12: The Founders

The team slide features the three founders: Aiko Wiegand (CEO), Nils Liskien (CCO), and Martin Konradi (CTO). The slide lists their specific roles and educational backgrounds. Aiko Wiegand holds an M.Sc. from TU Darmstadt, Nils Liskien has a background in Industrial Design from FH Joanneum Graz, and Martin Konradi brings software engineering expertise from FU Berlin. The team appears balanced between technical execution, product design, and business development.

What Matchory Does Well

The deck excels at visualizing a complex data pipeline. By showing exactly where the data comes from (Slide 3) and how it flows into a self-optimizing system (Slide 7), the founders demystify the 'AI' label. They provide concrete numbers—10 million profiles and 90% market coverage—that give investors a sense of the scale already achieved. The two-sided monetization strategy is also a strength, as it suggests multiple paths to revenue and a way to lower acquisition costs through a 'freemium' supplier side.

What is Missing from the Deck

The most notable omission in the provided slides is a clear 'Ask' slide. While we know from publisher reports that they raised $1.6M, the deck itself does not state the amount being sought, the valuation, or the specific milestones that the funding will enable. Additionally, there is no detailed financial roadmap or historical revenue growth chart. While Slide 10 mentions unit economics, the lack of actual performance data (even if redacted here, it should have been present in the original) makes it difficult to assess the current traction of the business beyond the size of the database.

Founder Takeaways

Quantify your data advantage: Don't just say you have a large database; state the exact number of profiles and the estimated percentage of the total market you cover, as seen on Slide 3. · Map the flywheel: If your product uses machine learning, show the loop of how user feedback directly improves the algorithm, creating a competitive moat (Slide 7). · Differentiate on speed: In enterprise software, 'Realtime' is a powerful differentiator. If your competitors have a 24-hour lag, highlighting that specific gap can be more effective than general claims of being 'faster' (Slide 8). · Show the two-sided value: If you are building a marketplace, demonstrate value for both the buyer and the seller. Matchory’s Slide 5 shows how suppliers benefit from the platform, which is essential for long-term data health.

Frequently asked questions

What is Matchory's core value proposition for procurement teams?: Matchory focuses on speed and data depth. According to Slide 3, the platform allows buyers to find suitable suppliers in 5 minutes by processing 100% of available data points. This is positioned as a solution for risk mitigation and flexible reaction to delivery problems, providing real-time alternatives when supply chains are disrupted.
How does Matchory acquire and structure its supplier data?: As shown on Slide 3, the company aggregates data from multiple sources including web crawling, trade show lists, trade data, and other registers. It also integrates with third-party platforms like SAP Ariba and EcoVadis. This data is then processed through an AI engine to create a structured database of over 10 million profiles.
What is the 'Open Access' strategy mentioned in the growth slide?: Slide 7 outlines a network effect model where 'Open Access' (free features) attracts a high volume of supplier profiles and buyers. This user growth generates revenue through subscriptions and paid projects, but more importantly, it provides 'Relevance Feedback' that feeds back into the AI/Machine Learning models to optimize matching accuracy.
How does Matchory compare itself to traditional 'Yellowpages' concepts?: On Slide 8, Matchory uses a competitive matrix to show that while traditional 'Yellowpages' concepts have public platforms and paid profiles, they lack global databases, AI-driven real-time updates, and independent supplier rankings. Matchory claims to be the only player offering all these features simultaneously.
Who are the founders of Matchory?: The team consists of CEO Aiko Wiegand (Product & Customer Development), CCO Nils Liskien (Product Owner), and CTO Martin Konradi (Software Engineering). Their academic backgrounds span TU Darmstadt, FH Joanneum Graz, and FU Berlin, covering the necessary mix of engineering, design, and business logic (Slide 12).

Cover slide of the Matchory pitch deck — Seed 2022 — Matchory pitch deck, slide 1 (2022)

Matchory pitch deck: the facts

Company: Matchory
Year: 2022
Stage: Seed
Slides: 13
Sector: Enterprise software
Deck type: Seed Pitch Deck
Outcome: $1.6M raised
Headquarters: Europe (Germany)

Matchory pitch deck PDF

The full Matchory deck is embedded on this page and can be read slide by slide in the browser — no download or account required. Each slide is covered in the breakdown above.

What the Matchory pitch deck was used for

This deck is Matchory’s 2022 **seed round** pitch, used to raise €1.6 million for its AI-powered supplier discovery platform in the strategic procurement space.[2][9] It showcases a large, continuously growing supplier database (described around 10 million+ profiles at the time) and a product flywheel driven by open data access and machine learning, aimed at giving procurement teams faster, more transparent supplier search.[2][1] The capital was positioned to further develop the SaaS product, integrate additional data sources, and add new features, while scaling commercial adoption among procurement organizations.[2][9]

Business model: Software-as-a-service (SaaS) supplier discovery and strategic sourcing platform that aggregates and analyzes global supplier data using AI and big data for procurement teams.[5][14][11]

Round: Seed[2][9]
Year: 2022[2][9]
Raised: €1.6 million[2][1][9]
Lead investor: Earlybird UNI-X[9][4]
Investors: Earlybird UNI-X (also referred to as Earlybird-X in later materials), Undisclosed angel investors active in various industries and procurement sectors
Founders: Aiko Wiegand, Nils Liskien, Martin Konradi
Headquarters: Ulm, Germany[1][3]

Industry: ProcureTech / strategic procurement software / enterprise SaaS for supplier discovery and sourcing.[2][9][11]

Use of funds as presented: Further develop the SaaS supplier discovery solution, integrate additional data sources, and add new product features for procurement teams.[2][1][9]

What happened after the Matchory deck

After its 2022 €1.6 million seed round, Matchory continued scaling its AI-powered supplier discovery platform, growing its global supplier database and expanding product capabilities, and later secured a €6 million seed extension round in 2025 to support further product development and international expansion.[2][9][6][8]

Closed a €1.6 million seed round in August 2022 led by Earlybird UNI-X, with participation from additional industry and
Expanded its supplier database into the range of 14–15 million+ supplier profiles globally, according to later company m
Announced a €6 million seed extension funding round in early 2025, led by Capmont (or a Munich-based VC named in company
Formed strategic partnerships, such as with akirolabs, to link strategic procurement planning with AI-based supplier dis

What the Matchory deck got right

Compelling, time-sensitive problem narrative. Clear, timely problem focus on supply chain risks and supplier bottlenecks in strategic procurement, at a time when supply chain disruptions were widely recognized as a major business issue.[1][3]
Strong data asset and potential data moat. Core product built on a very large and growing global supplier database (around 10 million profiles at the seed stage), which is difficult and time-consuming for competitors to replicate and creates the basis for data network effects.[1][2]
Differentiated AI and big-data technology focus. Positioning as an AI- and big-data-powered supplier discovery platform with automated, real-time search provides a clear technological angle and suggests scalable improvements in search quality and matching over time.[5][9][14]
Credible lead investor and external validation. Seed round led by a reputable technology investor, Earlybird UNI-X, with additional domain-relevant angels, which signals external validation of the market opportunity and team.[9][4]
Focused SaaS model on a specific enterprise workflow. Focused SaaS business model targeting procurement organizations with a clear workflow (supplier discovery and sourcing), which is easier for investors to understand and aligns well with recurring revenue and expansion potential.[2][11]
Compounding flywheel story driven by data and ML. Narrative around a flywheel where open access and machine learning improve the database and product over time offers a clear long-term defensibility and product-improvement story for investors.[2]

What could have been stronger

Limited externally visible traction metrics in the seed narrative. External coverage of the 2022 seed round focuses on the product vision, database size, and technology, but there is little publicly available detail on concrete traction metrics in the deck itself (e.g., paying customers, ARR, retention, or detailed cohort data), making it harder for investors to benchmark stage-appropriate commercial progress.[2][9]
Competitive differentiation not deeply articulated in public deck summaries. While Matchory clearly positions itself as an AI- and big-data-driven supplier discovery platform, public summaries of the deck do not provide much detail on how it differentiates versus established procurement suites and specialized supplier databases (e.g., feature-by-feature or workflow comparisons), which some investors would expect in a competitive market.[2][11]
Data strategy and defensibility not fully elaborated externally. The deck and related coverage highlight the large supplier database and AI capabilities but provide less external detail on data acquisition economics, quality controls, and defensibility around proprietary data versus third-party sources, which are key diligence points for data-network-effect SaaS businesses.[1][2][14]

How an investor would read this deck

What draws attention

Strength and uniqueness of the data asset (millions of supplier profiles, global coverage, depth of attributes) and how fast it is growing.[1][14]
Evidence that procurement pain points around supplier discovery, risk, and resilience are acute and budget-backed, especially post–supply-chain disruptions.[1][3][11]
Clarity on go-to-market motion (mid-market vs. enterprise, direct vs. partners) and current traction in each segment.[2][9]
Quality of the founding team and their mix of procurement, data/AI, and enterprise software experience, including the three named co-founders.[4]
Path to expand from supplier search into broader strategic sourcing or procurement analytics workflows, increasing ACV and stickiness.[11][14]

Risks that stand out

Procurement and supplier discovery is a competitive category with both large suites and specialized tools; Matchory must maintain a clear edge in data coverage, search quality, or workflow integration to avoid commoditization.[9][11]
The value proposition depends heavily on data freshness and accuracy; any degradation in data quality could quickly erode customer trust and differentiation.[1][14]
Enterprise procurement sales cycles can be long and complex, which may slow growth if the go-to-market strategy is not tightly focused and resourced.[11]
Reliance on external or partner data sources for supplier information could expose the company to changes in access, licensing costs, or regulatory constraints on data usage.[1][14]

Questions this deck invites

What are Matchory’s current revenue, number of paying customers, and logo quality, and how have these changed since the seed round?
How is the supplier database built and maintained (data sources, update frequency, verification), and what are the unit economics of data acquisition and enrichment?[1][14]
How does Matchory integrate into existing procurement stacks (e.g., SAP, Coupa, other sourcing tools), and what implementation effort is required for enterprise customers?[11]
What is the competitive landscape versus horizontal procurement suites and other AI-based supplier discovery tools, and where does Matchory win or lose today?
What are the main drivers of churn and customer expansion, and how does the company plan to increase net revenue retention over time?

What founders can take from the Matchory deck

A large, proprietary data asset (such as millions of supplier profiles) can be the core of a compelling SaaS story, especially when tied to a clear, painful enterprise workflow like strategic procurement.[1][2]
Framing a product around a flywheel where more usage improves the data and machine learning can help investors see long-term defensibility and compounding advantages.[2]
Positioning within a timely macro context (e.g., supply chain disruptions and the need for procurement resilience) strengthens the narrative around urgency and budget availability.[1][3]
Clear articulation of use of funds—such as expanding data sources, enhancing AI capabilities, and adding features—helps investors connect the raise size to tangible product and market milestones.[2][9]
Highlighting named institutional investors (like a recognized seed lead) and their thematic focus can signal fit and validation to future investors and customers.[9][4]

Matchory pitch deck: common questions

What does Matchory do?

Matchory is a German ProcureTech startup that provides an AI- and big-data-powered supplier discovery platform, giving procurement teams access to millions of global supplier profiles and advanced search to identify and evaluate suitable suppliers faster.[5][11][14]

How much did Matchory raise in its 2022 seed round, and who led it?

In August 2022, Matchory raised a €1.6 million seed round led by Earlybird UNI-X, with participation from additional undisclosed angel investors active in various industries and procurement sectors.[9][4]

What were the key themes of Matchory’s 2022 seed pitch deck?

Matchory’s 2022 seed deck emphasized its large supplier database (around 10 million supplier profiles at the time), AI- and big-data-driven search, and a flywheel where more usage and open access improved the data quality and machine learning, strengthening the product over time.[1][2]

Where is Matchory based, and who are its target customers?

Matchory is based in Ulm, Germany, and focuses on enterprise procurement teams that need to discover and qualify suppliers globally, particularly in contexts where supply chain resilience and avoiding bottlenecks are strategic priorities.[1][3][11]

How did Matchory plan to use the proceeds from its 2022 seed round?

The company stated that it would use the seed proceeds primarily to further develop its SaaS solution, integrate additional data sources, and offer new product features, all to improve supplier discovery and support procurement organizations.[2][1][9]