building @nara_benefits, an AI-native benefits administrator (TPA). previously product lead @leantaas and @kinsa. mostly obsessed with healthcare and politics.

Chicago, IL
Joined January 2011
Buying and deploying proprietary data is critical for the next frontier. But when it comes to buying real data from real people, trust is the first step in making sure the largest supply of real-world data can move into training as efficiently as possible. @integralprivacy ensures that your data will be monetized the right way. useintegral.com/get-paid
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Angle Health’s recent fundraise is a good example of where the employer health insurance market is heading. Level-funded plans are growing because they offer employers a more attractive middle ground between fully insured and self-funded coverage. Instead of paying a carrier a fixed premium and giving up all of the upside if claims come in below expectations, the employer pays a fixed monthly amount that covers expected claims, administration, and stop-loss insurance. If the group has a good year, the employer can participate in some of the savings. If claims are unusually high, stop-loss limits the downside. For many employers, this can be economically rational. A relatively healthy population can spend several years paying materially less than it would under a fully insured plan. Eventually, though, a large claim or a worsening risk profile gets reflected in the renewal price. At that point the employer can shop again, move to another level-funded plan, or simply return to fully insured coverage. There is something slightly strange about how much innovation in American healthcare looks like this. We continue to invent increasingly sophisticated ways to decide who should bear healthcare risk, how that risk should be pooled, when it should be repriced, and who should capture the difference between expected and actual claims. Fully insured plans shift the risk to the carrier. Self-funded plans shift more of it to the employer. Level funding slices the risk differently and adds stop-loss. Captives aggregate it across employers. ICHRAs move more of the purchasing decision to individuals. These structures can absolutely matter. Some are better suited to particular employers than others, and better risk financing can produce real savings. But almost none of them address the underlying problem: the unit cost of healthcare itself. A $2,000 MRI is still a $2,000 MRI regardless of whether the claim is ultimately borne by UnitedHealthcare, an employer, a stop-loss carrier, or a captive. The healthcare industry spends an extraordinary amount of energy rearranging financial responsibility for expensive care while comparatively little attention is paid to making the care itself dramatically less expensive to deliver. The more important innovation is not figuring out a better way to finance a $2,000 MRI. It is figuring out how to make the MRI cost $200. Until healthcare starts attacking the underlying unit cost of care delivery, much of what we call cost innovation will continue to be risk shifting.
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Avant Health is now Nara Health @nara_benefits and we are proud to announce $14M in funding across pre seed and seed, led by @khoslaventures. Read more in @axios today from @BrockEWTurner: axios.com/pro/health-tech-de… Here’s why we built it.
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25,000+ members. $600M+ in claims processed. Employer plans running as much as 50% under prior year.   We are hiring in Chicago: careers.narabenefits.com/
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Coverage and care have been run as separate businesses for decades. That gap is where the cost and the confusion live.   Nara runs benefits administration, claims, care coordination and member support on one platform. Air traffic control for the whole health plan.
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170 million Americans get coverage through work. The average family premium hit $27,000 last year. Nearly half of insured Americans skipped care anyway because they could not afford it.   Employers pay more every year for a product their people cannot use.
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The proprietary data economy is being built right now. More than 1,000 companies signed up in a matter of weeks to sell their anonymized data. That’s a massive signal of appetite. There is an enormous universe of companies sitting on proprietary data that has never had a real market before. AI is creating one. This economy will have several key actors: enterprises providing the data, data labs like Micro1 structuring it into something frontier models can learn from, and a privacy layer ensuring the data is compliant without destroying the signal that makes it valuable. xitter.cf/aliansarinik/status/20…
more than 1,000 companies have signed up to get paid for their anonymized data to train models just in the last few weeks. a massive TAM opportunity for the entire economy has emerged almost overnight.
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Every trust layer in history has ran on neutrality. - a financial advisor cannot trade the stock - ratings agencies can't underwrite the bond - an inspector doesn't own the building Data as an asset class should have the same logic. A company certifying and creating the trust layer can’t also be the one selling the good itself. The neutral seat exists for incentives to align.
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Replying to @EverettRandle
@EverettRandle is right. The $1 trillion data market is coming. But it'll largely be built on data that is locked up today behind privacy, regulatory, and business obligations. At @IntegralPrivacy, we’re building the layer to make sensitive, real world data AI ready. Everett lays out a sharp thesis: as tasks become the unit of AI improvement, every domain will need its own expert datasets, evals, and RL environments. Some of that data can be created from scratch without obligations. But the highest-value data isn’t manufactured. It’s the record of real life. The actual codebases. Ticket histories. Transaction logs. Deal Memos. Patient files. Decades of real-world interactions that teach a model how work is actually done. The more valuable the data, the more obligations it carries. And training is a one-way door. Once identifying, confidential, or regulated data shapes a model, there is no clean recall or unwind. Everett points out that the task economy lacks a measurement layer. It also needs an independent assessment layer. Audits for equities. Ratings for credit. Title for property. Every trillion-dollar asset class built trust infrastructure to scale supply. AI-ready data will be no different.
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🎉I’m excited to announce our $18M Series A, with participation from @VenrexVC, @thegp , @VirtueVC , @caffeinatedcap , @arrayvc, @GreatPointVC , @LiveRamp, @haystackvc, @CapitalAlso, @LifeXvc , Circle & Co, and WS Investments. The first generation of AI was built on public, human-curated data. The next will be built on real-world data. The datasets carrying real human behavior are what now separate one AI system from another. AI companies want them. The companies that hold them want to put them to work. The barrier has always been risk. We solved that risk in healthcare, one of the most regulated data environments there is. Today we bring it to the rest of the economy.
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The music is about to stop. First came vibe coding. Today Lantern is dropping the first vibe marketing platform. 50+ agents powered by our Revenue Ontology. CMOs you have a choice: ship 10x more ambitious campaigns or cut 20% of your team. See for yourself ⬇️
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What if there was a bank account available, that required you to deposit monthly, what you would have paid an insurance company in premiums, for an ACA silver plan. So for a family of 5 about $2100. The amount would then be used for Stop Loss Insurance set at $30k dollars. About $300. Another $200 would be used for local Direct Primary Care for your family The balance would be in YOUR bank account. Like an HSA, It could only be used for approved medical expenses. If you never have any medical expenses, you will get to keep the money plus checking act level interest, when you turn 65 If you have a medical event that is more than what you have saved, your bank will loan you the money you need to pay for it, up to the $30k stop loss trigger You would repay that amount using the monthly $1600 net deposit. Once the loan is paid off, the deposits start to accrue to you again. This is not insurance. It’s a specially designed bank account that gives you control, support, a doctor to work with and catastrophic financial protection. Lots of work and issues to be addressed. But I was curious what people think Let me know !
The one debt you can’t ever pay off ? Your insurance premiums. You literally will pay an insurance premium monthly, till you die. But we don’t look at it like it’s a debt paid to an insurance company that will do all it possibly can never spend it on your care. We are working on a non -insurance solution. The day HSAs no longer require an insurance policy, it all will change. finance.yahoo.com/sectors/he…
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Living this in real time with our team.
The top 10% of employees using AI to ship 10x the output is now the norm. The new advantage is those people helping the next 10% also 10x their speed. Companies investing in enabling this are going to compound their velocity and build true structural advantages. "What happens to an organization when the floor rises for everyone at once. When a CX team lead shares a skill and sixty reps level up overnight. When a new hire's first session in Glass already knows their team, their projects, and their tools. When someone who's never opened a terminal is running scheduled automations that would have required an engineer six months ago."
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I’m extremely excited to announce that @try_glimpse has raised a $35M Series A led by @a16z with continued participation from @8vc & @ycombinator bringing our total raised to $52M. At Glimpse, we’re building the AI-native infrastructure for CPG & retail brands. We started off automating the deductions workflow - recovering brands millions of dollars back into their P&L & saving dozens of hours every week. With this initial focus, we’ve also built the CPG data layer giving us the opportunity to continue expanding to more manual workflows that can be automated. We’re giving CPG brands real operating leverage in the world of AI. To our 200+ customers including PLTFRM, Evermark, IQ Bar, Alice Mushrooms, and more, thank you for your faith in us. We have more fuel now to keep supporting & scaling with you all. We’re hiring - come join us! We’re just getting started.
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Shout out to @og_doctourist for letting me hang out and chat with him in a @zoox!
The story of Avant Health is absolutely nuts. A first-time founder sees 70% of 150 million employer-covered Americans are in a self-insured system still running on MS-DOS and COBOL. Legacy TPAs are literally faxing claims back and forth. He pivots from selling software to these dinosaurs and decides to rebuild the entire third-party benefits administrator from scratch with AI. Less than a year after pivoting: - Partnered with 3 of the top 10 brokerages in the country - Serving employers with 50-1,000 employees - Team grew 30% recently - Based out of Chicago, the insurance capital of the US The best shows are art (storytelling) and science (frameworks). This has both off the charts. Enjoy the new episode of No Fixed Route - the first ever tech podcast filmed in a @zoox. youtu.be/OWqViuod_pE My 6 takeaways with @sid_s17 in the replies.
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“You wake up in Chicago, pull back the curtain, and you KNOW where you are. You could be nowhere else. You are in a big, brash, muscular, broad shouldered motherfuckin’ city. A metropolis, completely non-neurotic, ever-moving, big hearted but cold blooded machine with millions of moving parts — a beast that will, if disrespected or not taken seriously, roll over you without remorse. It is, also, as I like to point out frequently, one of America’s last great NO BULLSHIT zones. Pomposity, pretentiousness, putting on airs of any kind, douchery and lack of a sense of humor will not get you far in Chicago. It is a trait shared with Glasgow — another city I love with a similar working class ethos and history.Chicago is a town, a city that doesn’t ever have to measure itself against any other city. Other places have to measure themselves against it. It’s big, it’s outgoing, it’s tough, it’s opinionated, and everybody’s got a story." - Anthony Bourdain. #ChicagoHistory 👈
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The next revolution is here: AI is already transforming the multi-billion healthcare sector, from drug distribution to R&D and real-time care. But its progress depends on the quality and accuracy of the data beneath it. We’re excited to announce Integral 2.0, a compliant data platform that unlocks real-time access to multimodal health data. Enterprises are eager to harness rich, multimodal datasets including images, text, audio, PDFs, and more to capture every dimension of human health. But they lacked the right infrastructure - until now. We’re already working with some of the largest companies in the world, and we’re just getting started.
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