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The Journey Of Wine Recommendation App Vivino Which Raised 155 Million Dollars In Funding

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Vivino, a startup and app provides recommendations for wine and also doubles as a marketplace for buying and selling wine.  Vivino is now the world’s largest online wine marketplace.  In their latest round of Series D funding, Vivino raised $ 155 million spurred by the rapid rise in their user base from 29 million in 2018 to 50 million currently.  The funding will be used to improve its core technology and personalized recommendation engine, while also expanding its presence in key growth markets globally.

How did a startup which began as a wine rating app end up becoming as big as it is now?  Read on to know about the incredible journey of Vivino.

Beginnings

Vivino was founded in 2010 by Danish entrepreneur Heini Zachariassen and Theis Søndergaard in Copenhagen, Denmark.  It all began when Heini was at a local supermarket to purchase wine and could not decide which wine was good and which was bad.  His only indication to make the choice was to go by looking at the labels on the bottles.  It was then Heini realised that there was an opportunity to build something which lets users rate the wines which was similar to how Amazon lets users rate books and IMDB lets users rate movies.  

ALSO READ: What Is Seed Funding And What Are The Sources For Seed Funding For Startups

Growth

When Vivino launched, there were hundreds if not thousands of apps available on the market which gave ratings for wines.  Most of these apps were owned by people who are experts on wines and knew the market from top to bottom.  Heini Zachariassen came from a software background and looked at the problem differently.  After talking to users and customers Heini realised the problem boiled down to ‘is this bottle of wine good or bad?’  

At the time of the launch, there was not much information available on the app.  Vivino needed to look at the label on the wine bottle before providing information about the wine.  Therefore, Vivino gathered as many labels as they could and added them to their database.  The first breakthrough came when they offered a corkscrew for free to whoever uploaded the most number of label images thereby gaining 50,000 pictures.  Vivino got as many wine labels as they could find and sent them to India.  There people were manually looking at wine labels, researching information about those wines and adding as much information as possible to the app.  Initially traction was slow, but when users saw the effort being put in adding the list of wines, organic growth slowly increased.  

Vivino focussed on building the best product and not the perfect product.  Considering that there would always be some wines missing, the goal was to go for the best product.  Today they have information on 200,000 producers, 10 million wines and 1.3 billion photos of different wine labels in the app.  Key priorities were based on three factors namely wine rating, price and the taste of the wine.  Vivino built a machine learning tool which reads all the reviews and puts together a structured description of the wine taste.  This feature turned out to be a huge hit.

Today Vivino established itself as a market leader in their space and has over 700 suppliers around the world.  Vivino now has 50 million downloads and is hundred times bigger than the number 2 wine app Delectable.

Let us know in the comments if you have ever used Vivino or will begin using it after reading this article!

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1 Comment

  1. xnxx

    December 27, 2024 at 12:48 am

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Fractal Invests $20 Million in Asper.ai to Accelerate AI Solutions for Consumer Goods

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Fractal Invests $20 Million in Asper.ai to Accelerate AI Solutions for Consumer Goods

Fractal, a leading SaaS unicorn, has announced a strategic investment of $20 million in Asper.ai, an AI-driven platform focused on the consumer goods and manufacturing sectors. This funding, revealed on March 19, 2025, aims to accelerate Asper’s growth by enhancing product development and expanding its enterprise customer base.

Investment Highlights

Pranay Agrawal, Co-Founder and CEO of Fractal, expressed excitement about the partnership, noting Asper’s impressive growth over the past three years. He stated that this investment will unlock new opportunities for enterprise customers and drive further innovation within Asper.

Asper.ai’s Objectives

Mohit Agarwal, Co-Founder and CEO of Asper.ai, emphasized the need for consumer goods leaders to have a strategic ally that can adapt to their operations and transform data into actionable insights. The investment will support Asper in building its autonomous growth AI platform and attracting top talent.

Future Plans

Anuj Kaushik, Co-Founder and Chief Commercial Officer of Asper.ai, highlighted the positive market response to their offerings. With Fractal’s investment, Asper.ai plans to enhance its AI capabilities across key areas like demand forecasting and revenue growth management.

Conclusion

Fractal’s $20 million investment marks a significant step in advancing AI solutions within the consumer goods sector. The collaboration between Fractal and Asper.ai is set to redefine how businesses leverage AI for growth and efficiency in a competitive landscape.

 

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Entrepreneur Stories

Bengaluru’s Hypergro.ai Raises Rs 7 Crore to Enhance AI-Powered Advertising Solutions

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StartupStories

Hypergro.ai, a Bengaluru-based marketing technology startup, has raised Rs 7 crore in seed funding led by Silverneedle Ventures, with participation from Huddle, TDV Partners, HME Ventures, Dholakia Ventures, FiiRE, and angel investors. Founded in 2022 by Rituraj Biswas, Neha Soman, Abhijeet Kumar, and Arijit Mukhopadhyay, the company aims to revolutionize digital marketing by addressing challenges like high Customer Acquisition Costs (CAC) and low Return on Ad Spend (ROAS).

 

The startup leverages AI to create hyper-personalized video ads using user-generated content (UGC). The fresh capital will be used to enhance Hypergro.ai’s AI capabilities, expand operations, and build a specialized team focusing on data analysis, predictive algorithms, and automation.

 

Since its inception, Hypergro.ai has collaborated with over 70 brands, including several from Shark Tank India. The company’s innovative approach has led to its selection for Google’s Startups Accelerator: AI First (India) program in July 2024, providing access to critical training, mentorship, and state-of-the-art AI tools.

 

Hypergro.ai’s platform now supports a community of over 300,000 creators across India and has partnered with more than 100 brands, significantly enhancing its AI model’s accuracy and improving revenue generation for clients. As it continues to expand and refine its AI-powered marketing solutions, Hypergro.ai is set to transform the digital advertising landscape, offering businesses more effective and efficient customer acquisition and engagement strategies.

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Entrepreneur Stories

Meta Faces Another Copyright Lawsuit Over AI Training Practices

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Meta Faces Another Copyright Lawsuit Over AI Training Practices

Meta, the parent company of Facebook and Instagram, is facing fresh legal challenges over allegations that it used copyrighted materials without permission to train its artificial intelligence models, including its LLaMA series. This lawsuit adds to the growing scrutiny of AI companies’ data sourcing methods.

The Allegations

Authors such as Sarah Silverman and Michael Chabon claim Meta trained its AI models on datasets containing their copyrighted works without authorization. Plaintiffs argue this constitutes copyright infringement, while Meta defends its actions under the “fair use” doctrine, asserting that the training process is transformative and legally permissible.

Internal Discussions Raise Concerns

Court documents reveal internal chats among Meta employees discussing the use of copyrighted materials. One researcher suggested acquiring books without permission, stating, “ask forgiveness, not for permission.” These discussions highlight potential awareness within Meta of the legal risks involved.

Fair Use Debate

Meta maintains that its use of copyrighted texts to train LLaMA models is transformative and falls under fair use. The company compares this practice to Google’s precedent in Authors Guild v. Google, where copying books for search tools was deemed fair use. However, critics argue that training AI for commercial purposes does not meet fair use criteria.

Broader Implications

This lawsuit reflects wider concerns about how AI developers source training data, often relying on publicly accessible yet potentially copyrighted materials. As litigation against companies like Meta, OpenAI, and Google increases, clearer regulations may be necessary to balance innovation with intellectual property rights.

The outcome of this case could significantly impact both AI development practices and copyright enforcement in the tech industry.

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