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Remember when insurtech was going to tear up the insurance playbook? Around 2021, that was more or less the pitch, when insurance was slow, buried in paperwork and about as beloved as a trip to the dentist, so a wave of startups set out to rebuild it from scratch. Investors loved the story. Global insurtech funding topped $15 billion USD that year, per CB Insights, but it didn’t quite go to plan. An industry built on capital reserves and state regulators, it turns out, doesn’t fold because someone shipped a nicer app.Plenty of those startups are gone now, with the ones still standing mostly having learned something that sounds obvious in hindsight: you don’t have to drag customers to your product if you can put the product where they already are.Now, money is flowing again. Gallagher Re’s latest Global InsurTech Report puts second-quarter funding at $2.44 billion USD, the most since 2022. Almost all of it, 99.1%, went to AI-focused companies, while early-stage funding dropped 51.8% from the quarter before. “Capital availability is clearly not a problem,” Andrew Johnston, Gallagher Re’s global head of insurtech, said about the numbers. He called what he’s seeing a paradox; AI is supposed to be making everything cheaper, yet individual insurtechs are raising and then burning through more cash than ever. So getting a meeting with an investor is easier than it’s been in years. Building something that lasts is another matter entirely.Nobody goes shopping for insurance Nobody spends a Saturday browsing renters insurance for fun. You buy it because a landlord or a lender tells you to, usually with a deadline attached.Embedded insurance, meaning coverage offered inside some other purchase, works with that habit instead of fighting it. And it also sells better. BCG found that traditional insurers going this route are already seeing higher conversion rates than when they sell standalone coverage for the same products.Cover Genius is probably the clearest proof that the model scales. Its platform connects more than 200 partners with over 50 insurance carriers and protects upwards of 70 million customers at the point of sale, according to FinTech Global. Most of those customers never went looking for a policy. They bought a flight or booked a ride, with partners like Booking.com and Uber, and the coverage came with it. In July, the company raised $100 million at a $1.9 billion valuation. Notably, the money came from Vista Equity Partners’ credit arm, not from another venture round.Regulation pushes in the same direction. Anyone who sells, solicits or negotiates insurance in the U.S. has to be licensed as a producer under state law, according to the National Association of Insurance Commissioners. But most software platforms want nothing to do with that headache; insurers hold the licenses but rarely own the customer relationship and a startup that stitches the two together gets paid for solving both problems. Rental housing is about as clean an example as you’ll find. If you’ve signed a lease recently, you know the drill: sign here, then show proof of renters insurance before you get your keys. Get Covered, a New York-based insurtech, built its business around that exact moment by plugging into the property management systems landlords already use, like Yardi and Entrata. The company says it now powers insurance compliance for more than 3 million rental units.CEO Brandon Tobman walked through how that works. The tenant signs in the property manager’s portal and lands straight in a flow to buy coverage or upload a policy they already have, no second website, hunting around for a login. The embedded products that work best, he argued, feel like part of the service rather than an upsell.If you’re building in a completely different space, steal the question anyway. Whose workflow are you living in? If the only honest answer is your own app, acquisition costs will quietly eat the business model, regardless of how good the product is.There’s a less obvious point in Tobman’s argument that… | 19 |
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Big financial decisions often reveal gaps in what business owners know about their companies. Whether you’re selling, bringing in an investor, transferring ownership, borrowing, or planning for retirement, it’s important to understand what your business is really worth. Revenue and profit are just part of the story. Business value also depends on cash flow, assets, liabilities, future expectations, risk, and market conditions. Knowing your company’s value ahead of time won’t guarantee the result you want, but it helps you make decisions based on facts instead of guesses.Your Business Is Probably More Complicated Than a Revenue MultipleIt can be tempting to use a simple formula to estimate your business’s value. You might take your revenue or earnings, apply an industry multiple, and end up with a number that seems solid.But businesses with similar revenue can look very different financially. One might have steady cash flow and a broad customer base, while another relies on just a few contracts. Debt, profit margins, growth prospects, management, and other factors also affect how a business is valued.Simple benchmarks can provide context, but they shouldn’t be the final answer.Selling Without Understanding Value Changes the ConversationSelling a business clearly shows why valuation matters. Owners often spend decades building their companies, so it can be hard to separate the financial value from the personal meaning those years hold.Buyers, however, may not see the company the same way. They usually focus on earnings, future cash flow, assets, liabilities, customer relationships, competitive risks, and what they think the business can achieve after the sale.Having a solid estimate ahead of time helps owners go into negotiations with realistic expectations. It can also show where their assumptions about value don’t match up with the company’s actual financial and operational details.Bringing in an Investor Means Putting a Price on OwnershipBringing in outside investment raises another tough question: how much of the company should someone get in return for their money?If owners don’t have a good sense of what their business is worth, it’s hard to judge an offer. Giving up too much equity can have lasting effects, but asking for too much can make a good investment fall through.A formal financial valuation can provide a more structured way to examine the factors contributing to company value. Depending on the purpose and circumstances, that may include financial performance, assets, liabilities, risk, market conditions, and expectations about future results.The goal isn’t just to arrive at a number. It’s to understand what backs up that number before ownership is on the table.Borrowing Decisions Can Look Different With Better ContextBusiness owners often borrow money to buy equipment, expand, acquire another company, or support growth. These decisions usually depend on cash flow and repayment ability, but the bigger financial picture can help too.Taking on more debt might seem fine in a good year, but it can add pressure if earnings drop. Owners need to see how new debts fit with what they already owe and what they expect financially.Knowing your company’s value won’t answer every borrowing question, but it helps you look at big financial decisions in context instead of treating each one separately.Succession Planning Needs More Than a Future Datesecure phonesPassing ownership can get especially complicated when family, business partners, or key employees are involved. People often focus on the emotional side of succession while putting off the financial details.At some point, someone has to figure out how ownership will change hands and what it’s worth. Without that, talks about buyouts, estate planning, retirement, or ownership shares become much harder.Starting early gives owners more time to understand the financial impact and address issues before a transition becomes urgent.Some Financial Obligations Require Specialized AnalysisNot all businesses can be valued the same… | 15 |
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For ranchers and other livestock entrepreneurs, choosing between poly tape and electric fence wire isn’t always obvious—especially when you’re setting up a fresh paddock or switching systems after a stock escape. Both carry a charge, both deter animals, and both show up on Australian farms every single day. But they work differently, suit different stocks, and each comes with its own set of trade-offs. Sorting out those differences before you buy can save you from pulling wire or re-rigging tape six months later. This article breaks down exactly where each product performs well, where it falls short, and how to match the right fencing type to your actual situation. The poly tape vs electric fence wire question doesn’t have one universal answer—it depends on your livestock, your terrain, and how permanent you need the fence to be.Understanding the Differences Between Poly Tape and Electric Fence WirePoly tape is a wide, flat fencing material, usually made from UV-stabilized polyethylene with conductive strands woven through it. Its wider profile makes it easier for livestock to see, which is one reason it is commonly used for temporary paddocks, rotational grazing, and areas where fence visibility matters. Farmers comparing options can look at poly tape for electric fencing from Jono & Johno or Gallagher, depending on the tape width, conductor configuration, fence length, and type of livestock being managed. Comparing these specifications can help ensure the tape provides the visibility, conductivity, and durability needed for the intended setup.Electric fence wire works differently. It is typically made from galvanized aluminum or high-tensile steel and is often preferred for permanent boundary fencing or longer runs where consistent conductivity is important. High-tensile wire can carry a charge over greater distances with less resistance loss, while standard poly tape is often better suited to shorter or more flexible fencing setups. The right choice depends on fence length, livestock type, visibility needs, and whether the fence is intended to be temporary or permanent.How Poly Tape Performs in the FieldinvestmentTape’s main strength is visibility. Horses, cattle, and sheep can see it clearly, which means animals learn the fence boundary faster and are far less likely to run through it in a panic or poor light. That’s a real safety factor with horses, especially; they can seriously injure themselves on wire they simply don’t register at speed. The tape is also lightweight and quick to roll out, making it a natural fit for rotational grazing systems where you’re shifting fence lines every few weeks. Setting a temporary corridor or a new grazing cell takes significantly less time with tape than with wire. Honestly, the speed difference on moving day is hard to overstate.But tape does have genuine weaknesses. It’s more vulnerable to UV degradation over time, though quality UV-stabilized products last considerably longer than the budget stuff. Wind is another headache on exposed sites; wide tape catches a breeze and creates sag and, in strong gusts, can pull lightweight standards over entirely. It works best in sheltered or semi-sheltered paddocks, or wherever runs are short enough that tension stays manageable without constant fiddling.What Electric Fence Wire Brings to Permanent SetupsHigh-tensile wire is the standard for long-term boundary and perimeter fencing in Australia, and there’s a reason it’s held that position. It handles distance well, stays tensioned without constant attention, and holds up under UV, rain, and frost far better than tape across a multi-year period. A well-built high-tensile fence on corner stays and good strainer posts can last twenty or more years with minimal maintenance; that kind of longevity is tough to argue with.The conductivity of galvanized or aluminum wire across a full boundary run is also significantly better than tape, meaning your energizer delivers consistent pulse strength from the first post to the last—a genuine advantage where… | 17 |
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Conversations about AI in the workplace usually center on output, whether that’s a first draft, a meeting recap or a few hundred lines of code. Less discussed is that employees have also started confiding in it, often about the people they work with.According to research cited in a new Resume Now report, 93% of workers have used AI to get ready for a talk with their boss, and close to half (49%) felt it offered more emotional support than their manager did. Separate studies have found people open up more to AI because they don’t expect it to judge them.The appeal isn’t hard to see; a chatbot won’t repeat what you said over lunch, and it’s there at midnight when a Slack message from your manager is still bothering you.Still, a recent study of how leading AI models handle workplace conflict by Cloverleaf Labs, the independent research arm of team coaching platform Cloverleaf, found their advice leans heavily toward the employee’s version of events. For startups, where one soured relationship can ripple across an entire team, that could prove costly.What the Models Actually Said Cloverleaf researchers tested five leading large language models (LLMs) against five common workplace conflicts, running each scenario three times per model. Three trained human reviewers then evaluated the 75 responses.In each scenario, two people who meant well simply worked in very different ways. The researchers gave both of them real strengths, written so that a frustrated coworker might read those strengths as faults; a colleague who double-checks everything could easily seem like a bottleneck to someone under deadline pressure, for example. The models weren’t told anything about either person’s personality, as the point was to know whether the AI would get past the complaint itself and help the employee make sense of the other side.Mostly, the AI took the complainant’s word for it.Of the 638 individual pieces of advice the models gave across all 75 conversations, just three pushed the employee to put real effort into mending things. The rest was about winning the disagreement, protecting themselves or simply getting through it.Reviewers graded every response on a 1 to 5 scale across measures, among them self-awareness, accountability and how well the advice helped the employee understand the other person. None of the five averaged above 3, the scale’s neutral midpoint. Advice on repairing the relationship averaged 2.4, and the models did even worse on specificity, at 2.2, meaning much of what they offered was too vague to act on.When the Boss Is the Problem The results got worse when there was a power imbalance: if the employee had less power than the person they were complaining about, relational coaching dropped by 40%, and the models were more likely to accept the employee’s version of events as fact.Conflicts with a manager showed this most clearly. In those two scenarios, the models cast the boss as the problem in 60% of responses and offered a more generous reading in only 3%. Relational repair averaged below 2 out of 5, in fact. Leaving the job came up again and again. Of the 30 responses to the manager scenarios, 27 raised quitting as a legitimate option, and every model suggested it at least once. Some responses even told the employee to update their resume or look at other teams, with one going as far as advising them to “start building your exit ramp”.The quality of advice was also inconsistent. One model produced the highest individual score in the study, 22.8 out of 25, but also scored as low as 7.4, so one good conversation with a tool says very little about the next one.Kirsten Moorefield, Cloverleaf’s chief strategy officer, put the problem plainly: “Even if it starts out introducing different ideas, the moment you indicate your preference, it tells you it’s a great idea. That’s not a thinking partner but a robotic affirmation,” she said.Startup-Level RiskLarge companies have HR departments, trained managers and layers of process that can catch a conflict before it turns into… | 21 |
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EU Inc: non basta costituire una startup in 48 ore, serve una vera società europea
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U.S. property and casualty (P&C) insurers had their best underwriting year in decades in 2025, nearly tripling the industry’s net underwriting gain from the previous year. And the momentum has held; on September 2, 2026, Verisk and the American Property Casualty Insurance Association reported a $31.7 billion USD net underwriting gain for the first half of 2026, one of the strongest half-year results in recent history. Regardless, the same report warned performance varied sharply by both line of business and geography, with commercial auto, umbrella liability, and other casualty lines still deteriorating. Even in a record year, then, many insurers may be leaving millions of profit on the table because of how they judge their own books. The problem is one many startups will recognize: decisions are based on averages. And averages hide individual losers. Why Insurers Think in Segments The binary nature of insurance claims outcomes – a claim either occurs or it doesn’t – means that insurers typically evaluate their model’s viability by aggregating policies into “segments: that share characteristics relevant to risk or expected claims. Think personal auto, homeowners, or commercial lines, for example. As a result, insurers risk unwittingly retaining individual negative-profit policies hidden amongst healthy segment averages. A segment can look profitable, while a share of the policies within it quietly lose money. Per McKinsey, improvements in policy-level precision can lead to a 30-50% uplift in underwriting results, which is a potential that has drawn a wave of AI companies trying to push insurance analysis below the segment level. Boston-based Earnix, for one, offers tools designed to segment customers more precisely for health, life, and P&C insurers. Newer entrants, like Soteris, a machine learning startup that recently came out of stealth with more than $8 million USD in seed funding, focus on flagging unprofitable policies one by one. How Big the Blind Spot Can Be Sunit Shah, Soteris’ founder and CEO, illustrated the problem with auto insurance particularly. “A typical insurer might think of ‘married couples’ or ‘single-driver policies’ as segments and think of all the policies within those groups the same way,” he told The Startup Magazine. “The insurers already collect enough information in the application process to [individualise analysis], they just didn’t have the tools … before now,” he added, smiling. Shah claims that some carriers his company has worked with were holding on to profit-reducing policies that in some cases amounted to as much as 30% of their book. The company says it spotted that pattern through its first product, which predicts a policy’s expected loss ratio and has been used by carriers since 2020, processing more than 100 million submissions covering over $180 billion USD in premium. Its newer tool goes a step further, flagging individual negative-profit policies directly and estimates their impact on profit and EBITDA. In theory, an insurer could then drop the policies that were never going to pay off while leaving the rest of the segment unchanged. According to the company, this can be done without changing rates, policy forms or regulatory filings.The CEO also noted early proofs of concept showed 70% to 125% gains in bottom-line profit from moving analysis to the policy level.Beyond press releases or business success, these figures point to how much can hide beneath an average that looks healthy. The Same Trap, At Startup Scale Few startups hold millions of insurance policies, but many run their businesses on segment-level thinking, including a pricing tier, customer cohort, or sales channel that can look profitable in aggregate. Meanwhile, a meaningful share of accounts cost more to serve than it brings in. Blended customer acquisition costs can hide a channel that never pays back; an average gross margin can hide a handful of heavily customized enterprise contracts that erode it. Shah’s point about insurers applies here, too. Most startups… | 19 |
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