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Sourced Edition 2
Bi-Weekly Report of Data Driven Sourcing & Screening - New Stealth Founders, Fintech Signals, Synthetic Data Competitors
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Welcome to Sourced, from your friends at Landscape 🏔️
As a reminder, Sourced is a data driven newsletter for early stage startup investors. All of the intelligence in this newsletter was gathered using Landscape, our new platform for investors looking to become more data driven.
Interested in learning more about Landscape? 🗓️ Book a Demo
🥷🏽 Fresh Stealth Founders
Landscape automatically monitors every founder entering stealth mode. There are currently 19.9k founders in stealth - are you tracking them?
Here are some interesting profiles we discovered recently 👇
![]() Stealth | Founder: Daniel J. Mankowitz Stealth since May 2024 Geography: UK Background: 2x founder. He worked research scientist team at Google Deepmind. Before that he was the co-founder of Fitterli - using 3D cameras to track your body figure for diet, fitness and retail shopping. He’s also worked in robotics and computer vision algorithm developer for DARPA. He’s received his PhD in Reinforcement learning. |
![]() Stealth | Founder: Divesh Punjabi Stealth since April 2024 Geography: US Background: Divesh was the Entrepreneur in Residence and summer associate while achieving his MBA at Bessemer Capital. He’s worked in consulting at McKinsey & Company and wealth management at UBS before diving into entrepreneurship. |
Founder: Brian Lubega Stealth since May 2024 Geography: Germany Background: Entrepreneur in Residence at Antler before going into stealth. His background is in operations and strategy working in organizations such as rebuy recommerce, FREE NOW, Zalando SE and others. |
🔍 New Companies: Fintech
In our first edition, we asked what sector we should highlight next. A big thanks to the 80+ investors that voted, with fintech coming out as winner!
Here are some early stage fintech startups we’ve sourced recently 👇
Founder: Marcus G. Geography: US Description: AI insurance specialist designed to help property and casualty (P&C) insurance companies increase productivity and revenue by analyzing policies, compare quotes, prospect more business and serve more customers. Founder Background: 2x founder, worked at Ebay as a product manager and was an intern at google |
Founder: Bahila Hijazi Geography: Germany Description: Stakeroo is a self-custodial platform that helps simplifies DeFi passive income for non-crypto users, making it accessible to everyone Founder Background: Previous experience working as the Partnership lead at Pendulum, Satoshipay & TheStandard - all blockchain / web 3.0 projects. With blockchain and DeFi research background at Phoenix.io and ZeFi Foundation. |
Founder: Aarian D. Geography: US Description: Waterfall Credit is a platform that provides retailers with the capability to check multiple financing options to offer their customers without impacting their credit score. Founder Background: Straight out of university of Michigan with an Economics background. |
Founder: Angel Marita Kirkegaard Geography: Denmark Description: Edda Pay is a fintech service aimed at transforming how authors receive royalties, making the system quicker, fairer, and more flexible for both authors and publishers. Background: 9 years of experience in digital design and fintech industry. She’s a co-founder at nakedknit and worked as a Design lead at Storytel. She was the chief creative officer at Cabana A/S and copywriter for media companies. |
Founder: Omar Alhmashi Geography: US Description: Open banking platform for seamless payment initiations and access to account information. Background: Worked in the US Army as Human Resource Specialist & investment banking analyst for 2 years at Deutsche Bank. |
⚔️ Competitor Sourcing: Synthetic Data Startups
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Fairgen recently announced it’s raised $5.5M in fundraising from Maverick Ventures, The Creator Fund, Tal Ventures, Ignia and angel investors to build out statistical AI to help generate synthetic data that says it’s as good as the real thing. Data might be the lifeblood of AI but what happens when there isn’t sufficient quality data for the AI to analyze?
This is where synthetic data plays a major role - Synthetic data refers to artificially generated data that mimics real-world data in terms of structure and statistical properties. It is created using algorithms and models rather than being collected through real-world observations. This type of data is increasingly used in AI and machine learning to train, test, and validate models without the limitations and risks associated with using real data.
We leveraged the market mapper tool in Landscape to find other companies building in the synthetic data space, and here’s what we found 👇
![]() Syntheticus ![]() Clearbox AI ![]() Gretel | ![]() Dedomena AI ![]() BlueGen ![]() Hazy | ![]() DataCebo ![]() Betterdata ![]() Edge case |
🌯 That’s a wrap!
If you’d like us to profile a particular sector in out next edition, drop a vote down below!