Why the world's largest climate data platform shut down. [Read Online]( AgTech's $120M Collapse Why the world's largest climate data platform shut down. [Nicolás Cerdeira]( [fb]( [tw]( [in]( [email](mailto:?subject=Post%20from%20Failory&body=AgTech%27s%20%24120M%20Collapse%3A%20Why%20the%20world%27s%20largest%20climate%20data%20platform%20shut%20down.%0A%0Ahttps%3A%2F%2Fnewsletter.failory.com%2Fp%2Fagtechs-120m-collapse) Hey â Itâs Nico. Todayâs issue takes 5 minutes to read. If you only have one, here are the six main things: - The $120M AgTech startup, Gro Intelligence, [shut down]( (read why below). - Hugging Faceâs co-founder [highlights tough times for AI startups](. - Programmatic SEO startup [Daydream raises a $3.8M]( Seed round (where [Iâm leading Growth](). - SoftBank-backed grocery startup [Oda is scaling back]( (share your thoughts below). - Zoomâs founder plans to [make Digital Twins]( (read about them below). Letâs get into it. Presented by Ignite Digital There are 8.5 billion searches per day on Google. Are you showing up first? Use SEO to reach red-hot buyers before the competition with [Ignite Digital]( ð¥ There are 8.5 billion searches per day on Google. Are you showing up? If not, then you're losing sales. [Ignite Digital]( are the SEO experts with 13 years of experience. They'll design a custom strategy to help you drive website traffic and online sales. Wanna give them a test drive? Request a FREE competitive analysis, and Ignite Digital will respond on the same day with a sneak peek of your competitor's strategy & how you can defeat them. [Get a 100% FREE Competitive Analysis â]( This Week In Startups ð Resources Founder shares [lessons after shutting down his second startup](. Why new founders [shouldnât try to create a new 'category'](. Why [Seed fundraising is broken]( and how to fix it. Nick Huber talks about [startup lessons from building $100M businesses](. Greg Isenberg discusses [15 opportunities and ideas]( he sees right now. Crossing Frontiers is a law firm working with startups, founders and employees on their U.S. immigration journeys. [Book a consultation call here](*. ð° News Hugging Faceâs co-founder [highlights tough times for AI startups](. SaaS and enterprise software [funding in decline](. [Y Combinator goes to Washintong]( to give âlittle techâ a voice in shaping AI policy. [Creandum secures â¬500M]( to invest in European tech startups. Cancer care platform startup [Jasper Health lays off staff](. [Future Ventures raises $169M]( for an AI-focused fund. ð¸ Fundraising Programmatic SEO startup [Daydream raises a $3.8M]( Seed round (where [Iâm leading Growth](). [HR startup Ashby secures $30M]( to continue expansion plans. [YoLa Fresh raises $7M]( to connect Morrocan farmers with food sellers. [Exactly.ai]([raises $4.3M]( for artists to create AI models based on their work. Fail(St)ory AgTechâs $120M Failure Last week, the agricultural insights platform [Gro Intelligence]( announced it was shutting down. Why It Matters: - According to its founder, Sara Menker, it was the â[worldâs largest climate data platform](â. - In 2021, it was named one of [Timeâs 100 most influential companies](. - It served major clients like Unilever. What Was Gro Intelligence: Gro Intelligence was a platform that provided its clients with climate and agricultural data and insights. It gathered and recompiled data from various sources like weather agencies, governments, and trade organizations. Then, it analyzed this data and turned it into actionable insights for clients. For example, if a food company needed to manage its supply chain, Gro Intelligence could forecast crop yields based on weather and soil conditions. If a drought was predicted in a key wheat-producing region, Gro Intelligence could alert the company to source wheat elsewhere or adjust production plans, helping them make informed decisions and reduce risks. The Numbers: - Founded in Kenya in 2012 and later established in the US ð± - It raised [$120M in its 12-year lifetime]( ð° - In 2021, [raised $85M in Series B]( funding ðµ - Had over 100 employees ð§âð¼ Reasons For Failure: - Lack of PMF: A [former employee claimed]( that the main reason for failure was âa fundamental mismatch between the product and the market.â Gro Intelligence had issues finding new clients interested in the data it provided. As a result, it had to rely on consultancy work, which was not a stable revenue stream. It tried improving its platform and adding AI features, but ultimately, the market was not very interested in the insights it was providing. - Undiversified Client Base: Gro Intelligence mainly relied on a few huge clients, like Unilever. They attempted several times to diversify their clients and engage with governments from different countries, but these efforts were unsuccessful. - Challenging Funding Environment: Gro Intelligence depended on venture capital funding to survive. They managed to raise emergency funds in March 2024, but the money was not enough. They were able to raise a lot of money back in 2021, but the AgTech VC deal activity has severely decreased since then. Go Deeper: - The state of the [AgTech industry](. Win or Fail? Odaâs Scale Back Plans [Oda](, a grocery delivery startup, has recently made a big decision to halt its expansion across the EU and concentrate on just two countries. I'm unsure about this move and would like your input. Quick rundown of Oda: - Founded in Norway back in 2013 - It experienced rapid growth in 2020, thanks to increased demand during the pandemic. - In 2021, it secured a hefty [$265M investment]( from SoftBankâs VisionFund. - At its peak, Oda's value reached $900M, but it has since dropped to $245M. - Last week, the new CEO, Chris Poad, [announced 150 job cuts](. - Poad mentioned that the challenges of online grocery are significant, especially with perishable items and complex supply chains. He noted that even top organizations have struggled with this model. - In line with this, Oda revealed plans to scale back its European operations, focusing solely on Norway and Sweden. They hope this will help streamline costs and improve their financial health. - Oda hopes that these decisions will help them cut costs and fix their balance sheet. - Despite their lowered valuation, Oda is in talks for a $57M deal. You can read more about this in [this article](. Is this a Win or a Fail for Oda? Why? Win or Fail? [ð Win!](
[ð Fail]( Trend Digital Twins Eric Yuan, CEO of Zoom, [talked in an interview with The Verge]( about the possibility of having AI Digital Twins in the future. What Is a Digital Twin: - Digital twins are AI-powered bots designed to "think" and talk like yourself. - The idea is that every person will have their very own LLM, which will be trained to mimic their ways of thinking, talking, and decision-making. - This twin could then help you automate different tasks, such as answering emails, managing projects, and even attending Zoom calls. - The twin should be able to say the things you would say, make the decisions you would make, and inform you of everything that happened in the meeting. - Additionally, the twin could help you plan your day by suggesting which meetings you can send the twin to and which ones you should attend yourself. - You could even modify your twin so that it has certain skills you lack. For example, you could instruct it to be a better negotiator or a better salesperson. - The goal would be for humans to focus more on in-person meetings and potentially work fewer hours. How Far Away Is It: Yuan has a rather optimistic outlook, claiming this technology is 5 or 6 years away. He says the twin could start as a voice-only AI and later become a fully 3D-rendered version of yourself. Already, Zoom has been restructuring its workforce and hiring many AI engineers to start moving towards this future. Yes, But: Besides the fact that bots talking to each other in Zoom meetings seems downright dystopian, I think there are many other potential obstacles on the road. - Technical Challenges: The idea that digital twins are possible depends on so much technology we do not currently have that the whole concept seems more like science fiction. For starters, we would need a precise way of training an LLM to be like a person. We still know nothing about how we could train it and keep it updated to represent the person's changes. - Hallucinations: We know LLMs tend to hallucinate a lot and produce misinformation. This could be really problematic if you are letting your twin represent yourself or even make decisions for you. - People Donât Like Talking With Bots: Yuan talks about how the twin could spare him from attending several meetings. But just imagine how annoying and demoralizing it would be to know that you are not really talking to your boss but to an AI that has the power to decide on your projects. Help Me Improve Failory How Was Today's Newsletter? If this issue was a startup, how would you rate it? [ð Launches to the moon!](
[ð¤ Room for a pivot](
[ð Crashes and burns]( That's all of this edition. Cheers, Nico Update your email preferences or unsubscribe [here]( © 2024 Failory 1309 Coffeen Avenue
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