Swathly Pitch Deck: 24-Slide Breakdown

See all 24 slides of the Swathly pitch deck, with a slide-by-slide teardown of what the deck does well and where it falls short.

Swathly presents a 24-slide deck focused on solving manual sales data inefficiencies in the global manufacturing sector. The company positions itself as a specialized alternative to generalist platforms like LinkedIn Sales Navigator and Zoominfo, specifically targeting traditional segments like plastics, print, metals, and textiles. The deck is notable for its extensive use of detailed case studies (Slides 16-24) featuring real-world clients like Cerm and Kornit Digital, which provide tangible proof of their 'look-alike' lead generation and value chain analysis. While the financial projection…

Key takeaways

Executive Summary and Market Opportunity

Slides 1-2: The Hook and the Scale

Swathly opens with a bold claim on Slide 1 , positioning itself as a big data platform for the $13.5T manufacturing sector. The branding is clean, utilizing a technical, networked globe aesthetic that reinforces the 'big data' theme. Slide 2 breaks down the market opportunity using the standard TAM/SAM/SOM framework. They identify an $8T TAM in traditional segments like plastic, print, metals, and textile. The Serviceable Available Market (SAM) is cited at $4T, with a Serviceable Obtainable Market (SOM) of $20B. This slide establishes that while the sector is massive, Swathly is focusing on the 'traditional' niches that are often laggards in digital transformation.

The Problem and Solution

Slides 3-5: Inefficiency and Semantic Search

Slide 3 defines the problem: manual sales processes. Citing the McKinsey Global Institute, the deck claims sales teams spend two-thirds of their time on non-selling activities like background research and weeding out bad leads. It notes that 40% of these activities can be automated. Slide 4 introduces the solution: a web platform where manufacturers search for partners using semantic parameters based on their own taxonomy. The slide includes a complex diagram showing inputs (web sites, social media, finance databases) being processed through 'Semantic & Syntactic processing' to produce outputs like 'relevant prospects.' Slide 5 summarizes the benefits into three pillars: Cost reduction, Business development, and Transparency, specifically mentioning the creation of 'transparent industry taxonomies.'

Product Offerings and Proof of Concept

Slides 6-7: Services and Success Stories

Slide 6 categorizes the offer into three buckets: Qualified Prospects (Leads), Business Intelligence analysis, and Sales data optimization. This clarifies that Swathly isn't just a search engine; it's a data cleaning and analysis service. Slide 7 provides high-level 'success stories' with three companies: Cerm (market penetration), Kornit (customer segmentation), and ITNH (lead qualification). This slide serves as a bridge to the much more detailed case studies found in the appendix. It effectively demonstrates that the product is already in use by established industrial players.

Competitive Landscape and Business Model

Slides 8-10: Differentiation and Monetization

Slide 8 features a competitive matrix comparing Swathly to Everstring, Synoptica, LinkedIn Sales Navigator, and Zoominfo. Swathly claims to be the only provider offering 'Business buyer's value chain analysis' and 'Ranking customers.' This is a critical slide because it justifies why a manufacturer wouldn't just use a generic tool like LinkedIn. Slide 9 details the revenue model, which is diversified across subscriptions, direct BI project sales, advertising, and transaction commissions. Slide 10 outlines a two-stage Go-to-market strategy. Stage 1 relies on direct sales, partners, and trade shows, while Stage 2 moves toward digital campaigns and a full B2B trading platform.

Financials, Roadmap, and Team

Slides 11-13: The Path to $20M

Slide 11 presents a highly optimistic revenue chart. The company projects growing from $1,246,200 in Year 1 to $20,096,300 by Year 3. This represents a nearly 20x growth rate, which would require significant scaling of the SaaS platform mentioned in the roadmap. Slide 12 provides a timeline from June 2018 to April 2020, highlighting key milestones like filing patents and becoming an official supplier of BI services for the Israel Export Institute. Slide 13 introduces the team. The pedigree is strong in the printing and industrial tech space, with multiple members having ties to Scitex, a pioneer in digital printing. This domain expertise is a major asset for a startup targeting 'traditional' manufacturing.

The Ask and Contact

Slides 14-15: The $2M Round

Slide 14 states the investment requirement: $2,000,000. The proceeds are allocated to three areas: Development of a SaaS platform, Marketing and sales, and R&D to expand the master database. Notably, the deck does not specify the equity offered or the valuation. Slide 15 provides contact information for Yaron Shifman, including an Israeli phone number, confirming the company's HQ location.

Detailed Case Studies (Appendix)

Slides 16-24: Deep Dives into Client Success

The final nine slides are dedicated to three granular case studies. Slides 16-18 cover Cerm, a Belgian software provider for web printers. Swathly helped them penetrate the Australia/New Zealand market by identifying 130 qualified prospects. Slides 19-21 focus on Kornit Digital (NASDAQ: KRNT), an Israeli textile printing giant. Swathly analyzed 6,500+ textile printers to define buyer personas and identify new prospects. Slides 22-24 detail work for ITNH, a US-based inkjet provider, where Swathly cleaned a database of hundreds of prospects, identifying that nearly 50% were 'un-related' to the core business. These slides are exceptionally detailed, showing actual maps and data visualizations used in the projects, which provides significant credibility to their 'Big Data' claims.

What Swathly Does Well

Industry Specificity: By targeting the 'traditional' manufacturing sector and using industry-specific taxonomy, they avoid the 'boil the ocean' trap of generalist lead-gen tools. · Evidence-Based Pitching: Devoting nearly 40% of the deck to detailed case studies is a powerful way to prove the product works, especially for a B2B platform. · Team-Market Fit: The leadership's deep history in the printing industry (Scitex, Kodak) makes them highly credible to the specific customers they are targeting. · Clear Problem Definition: Slide 3 does an excellent job of quantifying the 'hidden' costs of manual sales research.

What is Missing from the Deck

Unit Economics: There is no mention of Customer Acquisition Cost (CAC) or Lifetime Value (LTV), which are vital for a SaaS-heavy roadmap. · Valuation and Terms: While the $2M ask is clear, there is no indication of the round's structure or current valuation. · Burn Rate and Runway: The deck shows revenue projections but omits expense forecasts or how long the $2M will last. · Data Sourcing Transparency: While they mention 'web crawling' and 'finance databases,' more detail on how they legally and technically aggregate proprietary manufacturing data would be beneficial for technical due diligence.

Founder's Guide: What to Copy

The Competitive Matrix (Slide 8): Instead of just using checkmarks for 'features,' Swathly uses checkmarks for 'value you get.' This is a subtle but effective shift in perspective. · The Roadmap (Slide 12): Mixing technical milestones (version release) with business milestones (official supplier status) shows a balanced approach to growth. · Granular Case Studies: If you have early customers, follow Swathly's lead. Don't just list logos; explain the challenge, the process, and the specific result (e.g., 'identified 130 qualified prospects'). · Market Sizing (Slide 2): The visual of nested circles for TAM/SAM/SOM is a standard but effective way to show that you understand your realistic reach within a massive industry.

Frequently asked questions

What is Swathly's core product offering?
Swathly is a big data web platform that allows manufacturers to search for customers and suppliers using semantic parameters. According to slide 6, they offer three main services: identifying qualified prospects through look-alike analysis, providing business intelligence via supply chain analysis, and optimizing existing sales databases by cleaning and qualifying lead data.
How does Swathly plan to generate revenue?
Slide 9 outlines a multi-stream revenue model. This includes direct sales of Business Intelligence (BI) projects, a subscription-based SaaS model, advertising opportunities on the platform, and commissions on transactions facilitated through their B2B trading environment. Slide 11 notes that commissions are expected to be added in Year 2 of operations.
What specific market segments is the company targeting?
While the total manufacturing sector is $13.5T, slide 2 narrows their Total Available Market (TAM) to $8T, focusing on 'traditional segments' such as plastic, print, metals, and textiles. Their Serviceable Obtainable Market (SOM) is defined as $20B. The case studies in the deck suggest a heavy initial focus on the industrial printing and textile machinery sectors.
Who are the key members of the Swathly team?
The team is led by Founder & CEO Yaron Shifman, who has 18 years of experience in the print industry at companies like Scitex and Kodak. He is supported by CTO Nazariy Hazdun, CMO Katya Zellermayer, and Director Itzik Marchand, a serial entrepreneur with 30 years of management experience. The deck also lists Rami Liron, a former President of Scitex Asia Pacific, as an investor and advisor (Slide 13).
What is the status of their product and intellectual property?
According to the roadmap on slide 12, the first version of the platform was released in June 2018. By April 2019, the company planned to be filing patents and conducting Proof of Concepts (POCs) for the textile, metal, and plastic industries. The roadmap culminates in April 2020 with the development of a B2B trading portal integrated into the SaaS platform.
Cover slide of the Swathly pitch deck
Swathly pitch deck, slide 1

Swathly pitch deck: the facts

Company
Swathly
Slides
24

Swathly pitch deck PDF

The full Swathly 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 Swathly pitch deck was used for

This deck is Swathly’s February 2019 pitch, hosted on SlideShare, for its sales intelligence platform that applies big data and machine learning to optimize B2B sales in the manufacturing sector. The company, founded around 2016 and based in Tel Aviv, positions itself as replacing manual, subjective prospecting with automated look‑alike analysis and value/supply chain mapping, especially for print and broader manufacturing industries. The deck reportedly frames a seed raise of around $2 million and lays out a plan to scale revenue significantly over the following three years, though no external source independently confirms that specific fundraising target or the projected $20 million revenue figure.

Business model: Developer of sales/business intelligence software that uses big data analysis, machine learning, and look-alike modeling to optimize B2B selling and lead generation, with a particular focus on manufacturing and print industries.

Founded
2016
Founders
Yaron Shifman, Itzik Marchand
Headquarters
Tel Aviv, Israel (HaBarzel Street 30, Ramat Hahayal).
Industry
Business/Productivity Software; sales intelligence and B2B lead generation.

What the Swathly deck got right

What could have been stronger

How an investor would read this deck

What draws attention

Risks that stand out

Questions this deck invites

What founders can take from the Swathly deck

Swathly pitch deck: common questions

What does Swathly do?

Swathly is a B2B sales intelligence and lead‑generation software platform that uses big data analysis and machine‑learning–based look‑alike modeling to help companies, especially in manufacturing and print, identify qualified prospects and optimize their sales processes.

Who founded Swathly and when?

According to profiles and company listings, Swathly was founded around 2016, with leadership including Founder & CEO Yaron Shifman and Co‑Founder/Director Itzik Marchand.

Where is Swathly based?

Publicly available profiles describe Swathly as headquartered in Tel Aviv, Israel, with a listed office at HaBarzel Street 30 in the Ramat Hahayal neighborhood.

Which customers or industries does Swathly focus on?

External descriptions indicate that Swathly’s software targets B2B manufacturers and related sectors such as the print industry, using industry and manufacturer‑level value‑ and supply‑chain analyses to provide pre‑scored prospects and market insights; the SlideShare deck specifically references the broader manufacturing sector.

How does Swathly’s product work for B2B sales teams?

Public databases and company materials describe Swathly’s solution as using proprietary big data analyses, value/supply chain mapping, and look‑alike modeling to automatically identify and score prospects, generate validated lead lists, and deliver market and sales statistics by product, region, and country, thereby reducing manual sales research and shortening sales cycles.

Sources

Funding and outcome facts on this page were researched on 2026-08-22 from the pages below.

Swathly pitch deck slides

Swathly pitch deck slide 1 of 24
Swathly pitch deck — slide 1 of 24
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Swathly pitch deck — slide 2 of 24
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Swathly pitch deck — slide 3 of 24
Swathly pitch deck slide 4 of 24
Swathly pitch deck — slide 4 of 24
Swathly pitch deck slide 5 of 24
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Swathly pitch deck slide 6 of 24
Swathly pitch deck — slide 6 of 24

What each slide of the Swathly pitch deck says

Slide 1

Swathly's big data platform provides tools that optimize buying and selling in the $13.5T manufacturing sector Swathly . GT

Slide 2

Market opportunity and market size - Major shifts caused by globalization and fragmentation are threatening traditional segments x — of the global manufacturing sector, which need technology-enabled agility to respond effectively A | \ to changing market demands. \ | X «“ « = $13.5T \\ \ Manufacturing sector Ne X » $8T TAM * $8T TAM (Total Avalable Market) AN Traditional segment: plastic print, $4T SAM metals and textile t * $4T SAM (serviceable Available Market) ? $20B y A = # $20B SOM (serviceable Obtainable Market) . . 1 2

Slide 3

The Problem = The manufacturing sector suffers from excess a3 0 N costs for manual process of sales data at SY EJ - b a) Sales teams spend up to two thirds of their days.. B\ ) g a " s ee — o«—@® @® Sorting information = ® Background research oo | S| 2 @ Finding contact information 1 <1 | @ Establishing connections I Bp =q | ® Weeding out bad leads | j “ | Ld | — instead of just selling and closing. “Forty percent of time spent on sales-related activities can be automated by current Al technologies, companies using Al for sales reported a 50 percent increase in leads”. McKinsey Global Institute

Slide 4

The Solution The most relevant prospects and ! Output services for your market needs & Benefits = Swathly is a web platform whereby manufactures : J Q Effective tool to optimize | can search for customers and suppliers worldwide sales operations NCH ) by inserting any semantic parameters based on {SRY | gl x i Discovering market \| £# \ their own taxonomy. Massive wer] opportunities and trends a @- Swathly |“ an SES \ ) Platform J \ Manufactures receive a prioritized and filtered customers’ cs Em A 4 information with various characteristics such as: SS a | Ne @ Company operation details 7 XT rang & bony Managements. @ company size @ Finance information [Ez Input ol @ Details on stakeholders…

Slide 5

Benefits ° w —~—— | \ Cost reduction Business Transparency \ | > 5 development NY 2” ¥ (+) ex & t Getting the best price and value Identification of new prospects, Creating the first completely . for purchases, and essential new markets, and new products transparent industry taxonomies information for streamlining sales based on analyses of current business that facilitate connections at any 4 point in the value chain ‘ 5,

Slide 6

Our offers ® L Qualified Prospects Business Intelligence Sales data (Leads) * analysis = optimization . 8 | \ Ae ges == Fl ae © ro 2 & a | —— = Fen 4 i \ 2% RG SNF ; ma— / \ t We identify new highly relevant prospects We provide a comprehensive supply chain We clean up and qualify customers’ database . based on a look-alike analysis. analysis based on the sales activities for any geographical region. of each company. 4 T 6

Slide text above is read directly from the Swathly deck PDF embedded on this page.

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