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As President Trump has cracked down on all kinds of immigration, tech workers and students have been caught in the crosshairs. In a bid to curb use of the H-1B visaa program that allows employers to hire skilled talent from abroad and is widely used across the tech industryTrump imposed a whopping $100,000 fee on new applications last year. The steep cost of hiring H-1B workers has already had an impact on tech companies and other employers that have come to rely on the visa, leaving many students and aspiring H-1B workers with few options to remain in the country. Some employers have been forced to reevaluate their hiring strategy and have opted to sit out the H-1B lottery this year. For small companies, the fee has made an already challenging, expensive process virtually impossible to navigate. Amid this political climate, the immigration law firm Ellis wants to simplify work visa applications for companiesand workersthrough a tech-enabled platform that uses AI to automate parts of the process, which remains complex and largely paper-based. With a new subscription service, Ellis is now offering employers a tiered option that starts at $2,000 a month, which allows smaller startups with under 50 employees to file unlimited visa applications. That includes most of the common work visa types, from the H-1B to the J-1 student visa or TN visa for workers from Mexico and Canada. Most immigration lawyers still bill by the hour or by case, which means companies can spend thousands of dollars per application just on legal fees. (On an individual basis, Ellis charges anywhere from $2,500 to $12,000 to prepare applications; the H-1B visa, for example, costs $3,000 in legal fees.) By bundling its services, Ellis hopes to encourage employers to sponsor more immigrant workers. If you have a fixed platform fee, like you would with Ellis, your marginal cost of sponsoring a visa actually goes down, which is an incentive we’d like to encourage, says Sampei Omichi, the founder and CEO of Ellis. [Screenshot: Ellis] There are other immigration law firms like Manifest Law that also have a flat fee option, which is more cost-effective for employers, as well as tech platforms like Boundless that provide on-demand legal support for visa applications. Some products are fully automating the visa application process, which means there is limited input from actual immigration attorneys. Ellis is pitching its platform as a more comprehensive solution for companiesand especially tech employersthat are looking for tech-forward legal support and the full services of an immigration law firm. Ellis has managed to bring down the legal costs associated with visa applications in part by employing AI agents where appropriateand only with the oversight of full-time staff attorneys. By automating a lot of the rote and manual work that comes with a more operational type of law, you actually open up the attorneys to do what they do best, which is case strategy, Omichi says. Frankly, most of their job now is acting as a therapist for the folks that are going through the immigration process. [Screenshot: Ellis] For workers seeking visas, Ellis not only offers a smoother, more streamlined application process but also holds the promise that employers might be more inclined to sponsor their visa, even in a hostile environment for immigration. Omichi says the platform aims to provide more transparency into the process, allowing workers to keep tabs on their application through a dashboard and additional elements like shipment tracking. (Applications for the H-1B visa, for example, typically involve hundreds of pages and need to be assembled by hand and shipped out.) In advance of the H-1B lottery opening up next month, the firm also introduced an H-1B lottery odds calculator, to give applicants a sense of how likely they are to get approved for a visa based on their title and location. Perhaps most importantly, Ellis claims to have a 99.4% approval rate on its visa applications; when a visa is denied, the applicant gets a full refund of their legal fees or can file again free of charge. Over the last year, Ellis has filed over 400 applications on behalf of employees at AI startups like Adaptive and Wordware; by the end of 2026, Omichi says the firm is aiming to help 1,000 people secure visas. At a particularly volatile moment, Ellis also hopes to help workers wade through the morass of immigration policy, which can change on a dime under the current administration. We really try to be like an extension of their people team, Omichi says. The use of automation allows Ellis to be more responsive to its clients than other lawyers might be. In addition, the firm invests in education and resources to help both employers and workers who are scrambling to keep up with policy changes, along with giving companies a direct line to Ellis via a dedicated Slack channel. Our job is to kind of simplify a traditionally very, very, very complex process into something a layman can understand, Omichi says. For employers, it means retaining their best talent. And for employees, it’s their livelihood. It’s often the most important thing in their life.If they don’t have stable immigration status, nothing else really matters.
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E-Commerce
In medicine, rare is often used to describe conditions that affect relatively few people. But when you work in healthcare long enoughespecially at the very beginning of lifeyou realize rare diseases are not rare at all. As a neonatologist, I cared for newborns whose symptoms didnt follow a familiar script. An infant struggling to breathe. A baby who couldnt feed. A child whose development stalled without a clear explanation. In the NICU, there is no luxury of time. Families are desperate for answers, and clinicians are making high-stakes decisions with incomplete information. Too often, we treated what we could see while suspecting there was something deeper we could not yet name. We ordered a multitude of tests and brought in specialists to consult, but days often turned into weeks. Sometimes answers came, but often they came too late to change the course of care. Those moments stay with you, and those are the moments that brought me here to GeneDx. THE HIGH COST OF UNCERTAINTY The phrase diagnostic odyssey is frequently used in healthcare, but it understates the reality for families. For patients with rare disease, the path to a diagnosis often stretches across yearsmarked by repeated hospitalizations, unnecessary procedures, and conflicting opinions. All the while, disease progresses and the emotional and financial burden on families quietly compounds. For clinicians, that uncertainty is more than frustrating; it limits our ability to act decisively. Without a precise diagnosis, treatments are often generalized rather than targeted, care coordination remains fragmented, and families are left carrying the burden of unanswered questions. From a system perspective, the consequences are significant: longer lengths of stay, higher costs, avoidable interventions, and missed opportunities for earlier, more effective care. What makes this particularly challenging is that, increasingly, we have the tools to do better. Genomic medicine has transformed our ability to identify the underlying causes of diseaseespecially in pediatrics and rare conditions where traditional diagnostic approaches fall short. When used early, genomic testing can shorten the path to answers from years to weeks, days, or even hours. It can inform clinical decisions, guide care planning, and help families understand what lies ahead. Over the past couple of years, genomic technology has evolved. Costs and turnaround time have declined significantly, shifting genomics from a theoretical solution to a viable tool in everyday clinical practice. Now, its a matter of increasing awareness and broadening access to all patients who could benefit. OPEN TESTING ACCESS As Rare Disease Month continues, the question is no longer whether we can diagnose rare disease more effectively, but whether we are willing to make those tools part of routine care. In other areas of medicine, advances that improve accuracy and outcomes eventually become standard practice. Standard newborn screening, imaging technologies, and clinical protocols did not remain optional once their value was clear. They became embedded in care. Genomics is at a similar inflection point. The opportunity before us is not simply technologicalit is systemic. Integrating genomics earlier into care pathways requires thoughtful implementation, clinician support, payer alignment, and real-world evidence. It requires collaboration across health systems, medical societies, advocacy groups, and policymakers. And it requires a shared understanding that earlier, more precise diagnoses are not an added extrathey are foundational to good medicine. A RARE OPPORTUNITY Rare disease challenges healthcare to be bettermore precise, more compassionate, and more proactive. It forces us to confront the limits of traditional diagnostic models and to rethink when and how we deploy the tools now at our disposal. For me, this work is deeply personal. It is shaped by years at the bedside, by conversations with families searching for answers, and by a belief that uncertainty should not be the default starting point of care. Over the course of my career, I have worked across nearly every layer of the healthcare systemas a practicing physician, a health system partner, and a clinical leader within payer and innovation organizations. Im bringing that experience with me as I help usher in the future of genomic medicine at GeneDx. Here I see a rare opportunity to help move genomics from the margins of medicine to its foundation, to shorten diagnostic journeys that have gone on far too long, and to build a healthcare system that delivers clarity when it matters most. Ending the diagnostic odyssey is not about technology alone. It is about trust. It is about giving clinicians the confidence to act and families the answers they deserve. And it is about recognizing that rare disease is not a niche problem, but something that impacts 1 in 10 Americans and thus, touches all of us. Linda Genen, MD, MPH, is chief medical officer of GeneDx.
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E-Commerce
Youre invited to a holiday party with a dress codecocktail attire. Instead of panic-scrolling through a bunch of dresses that look great on someone else and questionable on you, you open your laptop. A runway show starts in your living room. The lighting is cinematic. The music hits. And every model walking the runway is YOU. Same body, same proportions, same posture. You toggle the scene from dramatic spotlights to natural daylight to a candlelit restaurant, watching how each dress moves and fits in real life before you pick the one that feels right. But this isnt just a better shopping experience; it is a design process that’s likely to yield an outfit that appeals more to you. Historically, garment design has been a slow and expensive process. A designer hands a sketch off to pattern makers and sample rooms. Time goes by. One physical sample comes back. The designer evaluates it on a single body type. Often, that body type is very specific. Every iteration is costly and constrained by physics and time. With AI, designers can sketch an idea and instantly see it rendered across fabrics, colors, environments, and a wide range of body types. They can iterate in real time, stress-test designs before cutting a single piece of fabric, and design with diversity rather than retrofitting it later. The result is faster timelines, fewer samples, and fashion built for real people, starting from the very first pixel. HOW AI ACCELERATES DESIGN AI also gives fashion designers more authorship. The designer doesnt have to rely solely on their intuition and experience to guess how something might work in the real world. They can simulate it with different fabrics, silhouettes, and colors, and test fit immediately. You can see how a silk bias-cut dress behaves on a tall body versus a petite one, how a structured jacket reads when someone sits, walks, or raises their arms. You can design for movement, not just a static pose. This is a sharp break from how inclusive sizing has traditionally worked. Brands used to design for one idealized sample size and then grade up or down later. Sometimes, that starting point may be a plus-size model, but even then, only one body type is considered for the design. With AI, you can start with many bodies at once, treating variation as a first-class design constraint instead of an afterthought. The tooling compounds into revenue by expanding who the product works for. On the consumer side, this changes the emotional relationship with clothing. Returns are one of the dirtiest secrets in e-commerce. People order three sizes, keep one, and ship the rest back. Not because theyre careless, but because the system gives them no better option. When you can see a garment on your body, in your lighting, and in your life, you dont need to guess anymore. None of this means fashion becomes automated or soulless. If anything, the opposite happens. When designers are freed from the slow, mechanical parts of the process, they can spend more time on taste, storytelling, and craft. Beyond the runway, people will ultimately see your work on a variety of body types. Now you can apply your creativity to designing garments with this in mind. AI expands the surface area where creativity can play. FINAL THOUGHTS Weve seen this movie before in other creative industries. Photography went digital. Music went from studios to laptops. Film editing moved from physical reels to software timelines. Each shift caused panic, then democratization, then an explosion of new voices and formats. Fashion has lagged because its physical by default. AI is the bridge that finally connects imagination to reality without so much friction in between. Yana Welinder is the founder of yanabanana.ai.
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E-Commerce
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