When Sara Tashakorinia’s husband died in a car accident eight years ago, the last thing she needed was the roughly 570 hours of paperwork it takes, on average, to settle a loved one’s affairs. But for millions of people each year, this is their reality: a crushing loss, followed by a soullessly mundane avalanche of tedious administrative work.

“The day your loved one passes away, you also get this honorary badge of a project manager for a project you had no idea about, trying to navigate something and learn something when you literally have zero information,” Tashakorinia told TechCrunch.

After years of volunteering to help others navigate what she had to learn on her own, it occurred to Tashakorinia that AI might be able to help — not with the complex, messy experience of grieving and healing, but with the least human parts of the process, like finding the right tax forms, filing insurance claims, and shutting down bank accounts.

The result is LumenUs, the grief care platform that Tashakorinia founded last year to relieve grieving families of some of the administrative burden.

“I think going through it, your threshold of pain is so high, and you’re so lost that you don’t really realize, why do people treat you this way? Why was I left with a stack of paperwork, and why was the funeral home charging me a 300% markup on a casket?” Tashakorinia said.

While Tashakorinia hopes LumenUs will eventually support people throughout the lifelong grieving process, the startup will initially focus on people in the immediate aftermath of a death. When people initially join the platform, they go through an onboarding process in which they share information about the nature of their particular situation.

“We are asking very specific questions to understand the legal and financial means, and their state of mind, and this is only to personalize who they are, and then personalizing what happened,” Tashakorinia said.

From there, the platform organizes tasks by urgency, helping users decipher what needs to be done immediately and what can wait. In some cases, this can even help people discover that they’re entitled to money that can help ease the financial burden of death. In fact, billions of dollars in life insurance benefits go unclaimed because people don’t know they’re available.

“We are using AI to automate as much as we can to save time during this process, and give it back to [users],” she said.

Tashakorinia has a background in cybersecurity, which is sure to prove essential for building a product that asks people to share so much sensitive personal and financial information. She is building LumenUs alongside co-founders Sajad Mirzaei, a former engineer at Google and Box, and Larry Keeley, an innovation scientist, professor, and entrepreneur. The team is also consulting with clinicians and social workers while testing the product.

LumenUs, a participant in this year’s upcoming Startup Battlefield 200, TechCrunch’s annual showcase of promising early-stage startups, will launch in early access in October.

Amazon says it will stop using NDAs when negotiating data center deals with local governments, following a similar move from Microsoft earlier this year. Secrecy has fueled community backlash against AI infrastructure, with opposition leading to hundreds of proposed and enacted moratoriums from New York to San Francisco. Meanwhile, a wave of startups is betting that consumers will hand AI agents access to their inboxes, files, and credit cards — if they can get websites to let them in. 

On this episode of TechCrunch’s Equity podcast, Anthony Ha, Sean O’Kane, and Rebecca Bellan dig into whether ditching NDAs will change how data center deals get done, why trust may be the real product for personal AI startups, plus a couple of deals of the week. 

Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You can also follow Equity on X and Threads, at @EquityPod. 

For Danu Robotics founder Amy Ma, the eureka moment came after years of working as a software developer at a London bank. It was the kind of high-touch office that’s typical in finance — but despite all the perks, Ma was alarmed to realize that the building’s recycling bins were being emptied into the trash.

“Even though they have tons of money, there’s all these different recycling bins that just end up in the same place,” Ma told TechCrunch. 

The more she dug into the problem, the deeper it seemed to go. It wasn’t just her building. The economics of recycling as a whole often boil down to human beings sorting by hand through streams of waste to pull out different kinds of recyclable material.

“I saw the technology and thought, we can do so much better,” Ma remembers.

Now, she’s making good on that promise with six-year-old, Edinburgh, Scotland-based Danu Robotics, which makes a robot designed to sort through recycling more cheaply and quickly. Ma has been working on that idea for six years and is finally bringing her version of the product to market. Her robot, dubbed H.E.R.O., has a few advantages over its competitors. For example, it picks up items with a pincer claw instead of a suction system. But the bigger difference is the business approach: Danu leverages AI to continuously improve the robot’s software.

The approach is already seeing some traction. Danu has letters of interest from two large customers and $500,000 worth of signed contracts. More notably, more than 200 customers are in its sales pipeline, which gives the company a hook into the $20 billion market for recycling sorting across Europe and North America.

On the back of that promise, Dabnu has raised $5 million in late-seed funding to keep the commercial pressure on.

There’s already a robust market for robotic waste-pickers, particularly the suction-based arms offered by competitors like Glacier and RecycleEye. But Ma believes the economics of recycling will make it easy for a new competitor to prove its worth. Because recycling centers make money off the materials they’re able to sort out, there’s an immediate return on investment for a working system. Ma estimates that a working site will earn $485,000 in additional revenue from having the robot on the sorting line, compared with a $160,000 initial investment and $24,000 in maintenance fees each year. That’s significantly cheaper than the competition, and Ma believes the robot will be more efficient, too.

Since those machines are already shipping, Ma’s next goal is to make the robot sturdier, smaller, and more versatile. Once it’s portable enough, it can be used outside dedicated waste facilities, opening up a whole other world of use cases.

“Once it’s smaller, it can be used as a standalone recycling solution for events, for shopping centers, hospitals, or airports to recycle their waste at the source,” Ma told TechCrunch, “and that’s the way we can really change how we’re managing our packaging waste.”