BoxGroup的动态

When I first met Tomer 6 months ago, he and Ben had just started a company. No code, just an idea about AI training. Fast forward 6 months: They've hit 7-figures in revenue, and are partnering with leading AI labs. ?? Now they're announcing David AI's $5M Seed, which I was proud to lead at First Round Capital. After talking with tons of researchers, they saw a massive opportunity: taking audio data collection off AI teams' plates. While companies are spending 100s of millions on text data, the demand for audio data has also exploded — I hear of a new AI Voice startup daily. David AI’s bet is simple but powerful: model developers need access to much more high-quality audio data than they have today. Existing audio data is scarce in the right formats, and it's surprisingly hard to generate new audio. What stood out immediately about this team was their deep understanding of the space. After bonding in the data trenches working Scale AI, they didn't just spot the opportunity — they knew exactly how to execute on it. And they’ve been off to the races. Their level of traction with signing and executing on customer contracts has been something I’ve seen few times in my life. And it's with everyone from FAANG to startups, and everything in between. I keep telling Tomer: These sales cycles are not normal. It demonstrates serious customer pull. It’s the best example I’ve yet to see of how, when you're solving a real pain point, customers literally can't wait to pay you. Their data is already being used to train several of the best speech models on the market. In fact, the dataset is 10x the next largest one, spanning ~15 languages with rich accent and dialect metadata. 2025 is going to be a big year for audio AI — it will have its “ChatGPT moment," as they say, and this is the team that will be working furiously behind the scenes to help make it happen. It’s a lean team, so if you’re excited about this space, it’s a great time to join their team. More details in their blog post (in the comments):

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Interested in AI investments? Check this out! ?? Having met Mohamed, I could immediately feel he is a professional, super enthusiastic about what he does! No wonder he has achieved these results! ?? Well done! ?? #AI #Investments #Innovation #Technology #Success #Professional #Inspiration #AItestimonials

?? Hey there, we're Thoughtly. ?? We're excited to announce that we've raised a 3M funding round with participation from Afore Capital, Greycroft, Expansion Venture Capital, Ohio Angel Collective, Pioneer, Shift Left Ventures, Andrew Ofstad, co-founder of Airtable, and Rico Mallozzi from Sapphire Ventures. With Thoughtly, you can build and deploy human-like AI telephone agents for your business in minutes ??, a groundbreaking difference from the month-long deployments that have become typical today. ?? The truth is, we haven't slept since we secured this investment because it reaffirms the revolutionary nature of our solution and our mission to redefine "CCaaS" by routing calls to AI agents vs humans. Follow along as we usher in a new era of calling ?? one with happier customers, lower costs, and super fast AI deployments. Read more in our recent press release: https://buff.ly/4bXhVA0 #ThoughtlyLaunch #AI #Innovation

Exactly.ai secures $4M to empower artists with AI for enhanced productivity Exactly.ai harnesses the power of generative AI to assist artists in retaining legal ownership of their artwork while enabling them to accelerate the reproduction process at scale. Recently, the startup successfully secured $4.3 million in seed funding, led by Speedinvest. Other notable participants include InReach Ventures, Cornerstone VC, GuruDev Capital, and a select group of angel investors. Currently boasting 40,000 registered users, Exactly.ai is poised for significant growth and impact within the creative community. https://is.gd/rbj6sq #AI #Art #artificialintelligence #Exactlyai #Investment #llm #machinelearning

Super tactical advice for AI founders ?? Great answers/frameworks to use when thinking about cold outreach, go-to-market, & product differentiation.

Venture funds just can't stop pouring cash into AI! ???? The Information rounded up the top 9 funds that have invested heavily in GenAI, including some of the biggest deals. Together, they've shelled out a whopping $9.5 billion. Their major stakes in Anthropic, Mistral, and Scale AI are paying off big time. Top 3? Accel, A16z, and Spark Capital. ????

London-based Synthera AI secures €1.7M in pre-seed funding, led by Motive Ventures, with support from Entrepreneur First, Transpose Platform, KDX, BuenTrip Ventures, and more. Founded in 2024 by Mariana Barona and Lukas Schreiner, Synthera is revolutionizing financial risk management with synthetic data and generative AI to help financial institutions better predict market complexities. The funding will accelerate product development and team growth. Stay ahead in the startup world! ?? Get a weekly digest of key happenings and insights delivered to your inbox every Monday morning. Don't miss out—subscribe now: https://lnkd.in/eJXZrmEj ?? #Fintech #Funding #RiskManagement #AI

#Cartoon: Numerate This new cartoon illustrates how the #venturecapital industry is moving towards a #data-driven approach to running their businesses and making investments. Jim Breyer, formerly Managing Partner at Accel, once remarked: “Valuation is both art and science. The science is picking a price, and the art is knowing which 5% of the deals to invest in at any price.” Recently, science has started to help with the selection process, too. Most venture capitalists use pattern matching and their own experience to identify red flag signals to concentrate on the 1% of deals with the most promise, according to research by Stanford Professor Ilya Strebulaev in his book?#FastLane. Venture firms like SignalFire and EQT Ventures for example have developed proprietary data platforms which track millions of companies in real-time to assist in sourcing and screening investment opportunities. For example, SignalFire’s platform discovered Frame.io, a video collaboration platform, prompting the fund to invest in its early funding rounds, and Frame.io was subsequently acquired by Adobe for $1.2 billion. by the end of next year, #data, #analytics and #AI are expected to inform over 75% of VC deal analyses, according to a report by?Data-Driven VC. This provides more time for VCs to focus on their core two roles of finding new deals and supporting portfolio companies in the later stages. The secondary impact of these changes will most likely see more solo partner venture capital funds and new emerging market funds use a big data approach to screen for founders. #VC #Funding #AI #Payments

This is super cool. If you’ve had to interact with customer service, you’ll know the pain of just *finding* a number to call. Regardless of what it seems to be, most enterprises do want to offer fast, available customer service. Well then why don’t they? Because costs spiral - when you have millions of customers needing support, you really can’t make a human available 24x7 without damaging the rest of business. Frontline AI support effectively solves this scalability problem, at least for the easier customer issues. It’s no replacement for human empathy though - for a young family stuck at an airport with flight cancellations, hearing that everything is fine and they will be taken care of is just as important as the tactical resolution of the issue. So, my mental model for what AI can do for customer service - automate frontline support, so humans can do that they do best - solve complexity, be empathetic, and, well, be human.