Theory Ventures

Great discussion on the Postmodern Data Stack with Tobias (Toby) Mao, Colin Zima, Jordan Tigani, and Daniel Svonava. Thank you TechCrunch Disrupt for hosting us! #Data #Innovation #TechCrunchDisrupt

AI is evolving fast, and OpenAI’s new o1 model is leading the charge. But this isn’t just an incremental update—it’s a fundamental shift in how foundation models are developed and deployed. With a unique combination of training-time learning and inference-time search, o1 is redefining what’s possible in LLM applications. Forget scaling laws and brute-force approaches. With o1, we’re seeing something truly transformative—a fusion of training-time learning with inference-time search that unlocks smarter, faster reasoning capabilities. What does that mean for the future of LLM applications? Think better answers, more intuitive problem-solving, and a new way to explore data distributions in real-time. We’re just scratching the surface of what this paradigm shift means for companies building AI products. If you’re ready to see how o1 could reshape your approach, check out our latest blog by Andy Triedman. #AI #FoundationModels #Innovation #LLM #TheoryVentures #TechTransformation

Large language models are wonderful at ingesting large amounts of content & summarizing. Uploading an academic paper and I can pester it with an infinite list of questions & it will respond with equally infinite patience.

Have you ever had that “wow” moment with AI? Picture this: hours of meeting notes distilled into a crisp summary in mere seconds. At Theory, we’re peeling back the layers on how AI is about to shake up our daily grind. Will AI be our trusty sidekick, boosting our productivity, or will it completely change the game? Whether you’re in sales outreach or strategic planning, find out where AI will have your back and where it might turn things upside down. We are only on the first couple pages of this story but know it will be a big one. If you’re building AI systems to transform traditional business functions, we’d love to hear from you at info@theory.ventures. #AI #Innovation #FutureOfWork #KnowledgeWork #TheoryVentures

We are thrilled to lead Allium's $16.5 million Series A funding, advancing the future of blockchain data management in a market now worth $2.5 trillion. Allium provides enterprise-grade blockchain data solutions, serving prestigious clients like Visa, Stripe, and the Uniswap Foundation with unparalleled accuracy and efficiency. Supporting Allium in revolutionizing how organizations access and utilize blockchain data with their powerful APIs, Allium Explorer and Allium Developer is something we are very excited to be a part of. We look forward to a future where blockchain data management is seamless, secure, and universally accessible. Learn more about Allium’s innovative approach at www.allium.so #Blockchain #DataManagement #Cryptoassets #Web3 #Investment #Innovation #TheoryInvests

Explore the future of technology in our latest blog post on composable software platforms — learn how modern infrastructure and AI automation are setting the stage for software that adapts dynamically to business needs, enabling automation and efficient workflows. Interested in composable software? We'd love to connect at info@theory.ventures! #ComposableSoftware #AI #Innovation

Launching our 2024 GTM Survey 📝

What does it take to go public? Has it changed over the last 15 years?

2012 was the year of the Seedpocalypse. Also called the Series A Crunch, a fear gripped Startupland : raising a Series A. Two years later, this indigestible excessive bolus of fundraising rounds hit the Series B market & Series Bs became the most challenging round to raise. Read More: https://lnkd.in/g2nRdupg

What stood out to me in yesterday’s Apple announcement wasn’t the headline, but the subtitle. “Setting a new standard in privacy.” For privacy to become one of the leading selling points of software, competitive dynamics & user preferences have evolved. The mantra repeated over the last 20 years on the internet has been privacy is dead. Users simply don’t care. People are willing to trade their privacy for free & targeted experiences. Since 2020, Apple has marketed their products as the private alternativepoking fun at how public we all are about the minutia of our lives. Apple is competing using the challenger sale : Apple is telling the market, to use AI, you should want private AI, you should want to control your own data because it’s valuable. Apple’s massive distribution will affect consumer & enterprise preferences. It’s already happening. Enterprises push for their data to be under their control in virtual private clouds, in open data formats like Iceberg, to run AI models in their own environments - the cloud-prem architecture. These models are their intellectual property & a key competitive advantage. We’ve all learned Google’s core search business - arguably the best business model on the internet - is the commercialization of a machine learning algorithm from user & enterprise data. Fool me once… The broader market has realized how valuable data can be - both users who provide it & businesses who leverage it. These changing preferences will create demand for new architectures : software products that run in customer environments where the data remains in control of the user & buyer. This architectural shift creates a massive new opportunity for software startups to challenge the multi-tenant, centralized data incumbents with their own privacy-focused challenger sale. Many will debate whether the architecture is truly private. Is Apple using secure enclaves & SGXs, OpenAI promising not to log queries from Apple users, & users opting-in to sending their data to OpenAI private enough? Will Google rearchitect Gemini to do the same thing to power Apple products? https://lnkd.in/g-ukCuGt