Cortex by Markel, built with Bain, took a one-to-two-day underwriting process down to 5 to 10 minutes by reimagining it entirely with AI. CEO Simon Wilson shares how a startup mentality is reshaping speed and market opportunity: https://atbain.co/4i8wzJh
AI-driven underwriting can reshape insurance operations by reducing turnaround times while helping teams focus on higher-value decisions.
The Secret Behind The Most Successful Founders #ai #tech #business #startup The most successful founders often have one major advantage: they’ve spent years experiencing the problem they’re trying to solve. Rakesh Kothari, CEO and co-founder of Deductive AI, explains how decades of working with complex systems and massive amounts of data shaped the company he’s building today. His experience gave him a unique understanding of both the technical problems engineers face and how to make complicated technology easier to use. It’s the idea of “founder-product fit”—when the person building the company deeply understands the problem because they’ve lived it themselves.
You might think the hardest part of building AI startups today is simply standing out in a crowded market. So we asked active AI founders in our research study to rank their actual customer communication challenges from biggest to smallest. The early results tell a completely different story. Check out the breakdown in the carousel ➡️
Bankruptcy filings show that startup Character AI was in over its head -- burning through cash and trying to make its business work. Expect this to be one of many such stories in the genAI space. While you ponder Character AI's fate, this is a great time to review _your_ company's AI transformation: - What concrete business benefits does it provide? - Where, specifically, has it moved the needle on key metrics? - How much money / time / employee effort has gone into it, and what have you gotten in return? (And if you don't like your answers, you don't have to pull the plug altogether. Reach out. I may be able to restructure or salvage the effort.)
Should you use AI for financial models? Kirsten Munn joined Baltic Ventures Accelerator programme for a 2 day financial modelling workshop with Dave Curtis, Sophie Conaghan and George Wright. Kirsten Munn shares that you can use AI for financial models, BUT, it runs a risk of losing the trust of a potential investor - IF you do not understand the model the AI have built. Understand the numbers and gaps in your model and make sure that it ties in correctly to your pitch. Be prepared to be questioned. #ai #accelerator #balticventures
AI is quietly rewriting the startup playbook: the winning challenger brand may no longer be the one that hires fastest, but the one that designs the smartest operating system around a smaller, sharper team. The real shift is not “AI replacing people”; it is AI compressing the distance between idea, execution, and market feedback. #AIForBusiness #StartupStrategy #ChallengerBrands #AIAgents #FutureOfWork #LeanTeams #BusinessTransformation #GenerativeAI
Too many AI tools, and none of them talk to each other? AetherIA is an AI workspace built to fix exactly that. What stands out: → It picks the best model for each task automatically (Claude, Gemini, or GPT), so you're never locked into one vendor; intelligent routing to the right model → Answers come from your own documents, with citations you can click. → You get finished work, not just a chat reply: docs, decks, charts, flashcards. → It's built security-first: data is isolated per organization and never used for training. "Cited answers from our own docs are the part I'd use daily." Onboarding happens in waves, and the first 500 confirmed sign-ups become Founding Members: 👉 a-etheria.com/waitlist #AI #Productivity #Startups
The AI startups that win enterprise deals right now aren't the ones with the best benchmarks. They're the ones that fit into a workflow the buyer already runs. Our new piece on corporate AI strategy explains why. Gartner predicts that 60% of AI projects without AI-ready data will be abandoned by 2026, and BCG's research attributes 70% of AI success to people and processes rather than algorithms or infrastructure. That reframes diligence for me. If a company's product requires customers to rebuild how their teams work, adoption stalls, no matter how good the model is. Plug and Play has made 650+ investments in AI companies, and integration depth is what separates those that scale from those stuck in pilots. https://lnkd.in/ef84f9jx #venturecapital #ai #startups
The AI startups that win enterprise deals right now aren't the ones with the best benchmarks. They're the ones that fit into a workflow the buyer already runs. Our new piece on corporate AI strategy explains why. Gartner predicts that 60% of AI projects without AI-ready data will be abandoned by 2026, and BCG's research attributes 70% of AI success to people and processes rather than algorithms or infrastructure. That reframes diligence for me. If a company's product requires customers to rebuild how their teams work, adoption stalls, no matter how good the model is. Plug and Play has made 650+ investments in AI companies, and integration depth is what separates those that scale from those stuck in pilots. https://lnkd.in/ewf-_vfx #venturecapital #ai #startups
Never miss a beat on the app
Don’t have the app? Get it in the Microsoft Store.
Open the app
Faster responses could shift the mix of risks an insurer ends up writing. In casualty lines, claims can take years to develop. Grouping policies by when they were written and by risk profile, then comparing claims at similar stages of development, makes the results more comparable. Changes in pricing and coverage still need to be considered. How should emerging claims evidence feed into the assessment of new submissions?