machine-learning
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Fitter: Beat the missed delivery
The shortest route can still end at a closed loading dock. Fitter connects route planning, live monitoring and customer feedback to help delivery teams spot trouble while there is still time to act.
ODDITY put the beauty counter in a quiz
A foundation match became a business spanning makeup, wellness and online dermatology. ODDITY’s next test is whether owning the customer relationship can outweigh renting the route to it.
Riskified puts its money on yes.
A rejected order can look like a fraud victory. Riskified built a business around the sale hiding inside it - and a promise to pay when its judgment goes wrong.
Rokt found a business after the buy button.
The order is finished. The customer is still there. Rokt turns that brief overlap into an advertising marketplace - and a reason to rethink the most neglected page in ecommerce.
AppLogic Networks reads the room.
A network can be running perfectly while its users are having a terrible time. AppLogic Networks sells the tools to see that gap - and carries a history that makes visibility a complicated business.
DeepLearning.AI’s real lesson: build something.
Andrew Ng’s education company turns AI expertise into small, usable lessons. Its next bet is that people will pay to move from watching a demonstration to making something work.
Carbon Robotics puts weeds in the crosshairs
A laser can kill a weed. The harder trick is teaching a machine which plant deserves to live - and making the answer pay for a farmer.
ParallelDots Makes the Shelf Talk
A photograph of a supermarket shelf looks ordinary. ParallelDots turns it into a list of things a brand can fix - and built its business by learning which problems were worth seeing.
Ezoic and the price of a visit
A publisher can sell more ads and still earn less. Ezoic built its business around that awkward little fact - then had to learn a version of it itself.
AI is loud. TWIML listens.
Sam Charrington built a business around asking AI researchers how things actually work. The interesting part is what happened when his listeners started learning together.
AI has a demo. Who has a business?
Unsupervised Learning puts the people building AI in the interview chair. Redpoint’s podcast asks what happens after the impressive demo - when customers, costs and awkward trade-offs arrive.
Eye on AI asks the next question
Before AI became an everyday conversation, Craig S. Smith was interviewing the people building it. Eye on AI turns those conversations into a public record of what the technology promises - and what still needs explaining.
Practical AI makes the demo face reality
Two working AI practitioners built a show around a stubborn question: what happens when the technology leaves the demo? Eight years of conversations have made Practical AI a useful place to ask it.
Last Week in AI makes room to think
A researcher’s answer to AI overload became a newsletter and a long-running podcast. Its most useful lesson may be the work it learned to leave behind.
Machine Learning Street Talk: Stay for the difficult question.
AI is full of confident answers. Machine Learning Street Talk makes room for the experiments, disagreements and awkward details that tell you whether to believe them.
BRIIA gives AI founders a map before asking for a stake
A San Ramon accelerator turns startup building into a sequence of measurable steps. Its wager: help founders prove the business first, then earn the right to invest.
MATH puts a price on getting AI startups unstuck
For ₹118,000 including GST, MATH’s year-long Nuage programme offers AI founders a route to compute, mentors and potential customers. The interesting part is how those pieces fit together.
Hyperscience knows why the truck arrived before the invoice
The freight was delivered. The paperwork was still travelling. Hyperscience turns that familiar office absurdity into a practical test of enterprise AI.
Tiptop wanted your old phone to pay for something new
An unused device is worth money. Turning it into money is work. Tiptop tried to remove that work by putting trade-in credit exactly where shoppers were about to spend.
Glassbeam and the expensive art of keeping scanners busy
A scanner can be perfectly capable of seeing inside a patient and remarkably poor at explaining its own troubles. Glassbeam turns its machine logs into warnings, maintenance decisions and a clearer picture of where the working day goes.
nSure.ai bets on the customer everyone else declines
A gift-card business taught nSure.ai’s founders how quickly digital goods could vanish. Their answer pairs merchant-specific AI with chargeback protection - and occasionally hands a fraudster a worthless prize.
Lytics and the art of knowing when to stop advertising
A customer data platform built its business on a simple observation: what people do tells you more than a tidy demographic label. Now inside Contentstack, Lytics is connecting those clues to the content customers actually see.
io.net and the art of renting somebody else’s GPU
The AI compute shortage has an awkward companion: idle hardware. io.net wants to connect the two, but its most revealing lessons concern trust, incentives and the price of a finished job.
Superluminal Medicines is betting on proteins that refuse to sit still
The Boston biotech designs drugs for receptors in motion. A Lilly partnership and a coming obesity trial will test how much that extra dimension is worth.
FlexFactor bets its own money on your declined sale
A failed payment can end a customer relationship in seconds. FlexFactor buys eligible declined transactions, pays the merchant and takes on the job of collecting the money.
Graviti gives AI data a memory
A self-driving-car engineer saw what happened when sensor data outran the tools meant to manage it. Graviti’s answer: give datasets the history, branches, and working habits of software.
Innowatts and the price of being almost right
A small forecasting error can become a very large electricity bill. Innowatts builds its predictions from the meter up - and GridX has bought the machinery.
VODA.ai and the $5.4 million case for leaving pipes alone
Tucson’s paving schedule made pipe replacement look sensible. VODA.ai helped ask a more expensive question: did those pipes actually need replacing?
The Demex Group bets on the storms too small to ignore
One hailstorm can slip beneath an insurer’s catastrophe cover. A year of them can eat its earnings. Demex builds reinsurance for the dangerous arithmetic in between.
Anaconda made Python easy. Now it sells peace of mind.
The company that helped millions get started with Python found its paying customer in a different room: the enterprise worried about what all that free software might bring through the door.