The restaurant technology company, now called Tarro, built its business around a stubborn habit: people still call for takeout. Its answer combines human order takers, AI assistance, and a kitchen printer.
It began as a chatbot with a rebellious streak. Now Grok wants to write the code, answer the call, and find the money hiding in your software bill.
The dinner rush exposes a small restaurant’s weakest link: somebody has to pick up. Tarro puts trained people, assisted by AI, between the ringing phone and the kitchen.
The company behind the carrier’s brand is moving phone networks into the cloud. Its next bet: keeping the phone number at the center of the AI conversation.
A car can cross the country on a truck. Getting its paperwork, people and payments to travel together is the harder problem. RunBuggy is building the software for that journey.
Healthcare runs all night. Recruiting usually does not. Take2 AI is building a business in the hours between a clinician’s application and a recruiter’s first coffee.
A local business can buy attention and still lose the sale to a ringing phone. Pie is joining advertising, AI search and automated bookings into one unusually practical pitch: bring people in, then pick up.
Its raw material is the conversation your company already had. Encore AI turns the habits of successful employees into agents that help the next customer finish the job.
Healthcare has become very good at sending messages that give patients another job. Orbita connects the message to the next step - and makes the missed steps visible.
Patients kept calling, even when better portals were available. Hello Patient built its business around that stubborn habit - and is now following the paperwork behind the phone call.
Booking the appointment is the easy part. Prosper AI sends voice agents into the insurance checks, billing questions and phone queues that decide whether a patient actually gets seen.
A hesitant “yes” and a confident “yes” look identical on a screen. Hume AI built a business around the difference - and now sells the tools to test whether other voice systems can hear it.
Your employee leaves. Their phone goes with them. Movius makes sure the business number - and the record of its conversations - can stay with you.
Now called Conversive, the CRM messaging company is betting that AI can finish the conversation - provided it remembers how it started.
A medicine cabinet can tell you more about a Medicare plan than its price tag. ConnectureDRX turns those small, personal details into comparisons, enrollments, and a reason to call again next year.
A consumer concierge became an enterprise AI business by changing who paid. Haptik’s story is a useful lesson in finding the buyer, keeping the conversation, and knowing when a human should take over.
A streaming app has eight seconds to become invisible. Oxagile has built a business around the code, compromises, and unglamorous repairs that make that possible.
A car dealership can buy attention by the truckload. Better Car People has built a business around what happens next: answering the customer, keeping the conversation alive, and getting an appointment onto the calendar.
A vacant slot can hide a surprisingly crowded problem. Relatient’s bet is that getting patients through the door begins with teaching software the rules people carry in their heads.
Inworld set out to make video game characters worth talking to. The harder discovery was that every good conversation also has a latency budget - and a bill.
FreeSWITCH helped teach the internet to make phone calls. SignalWire is trying to teach those calls what to do next - and to keep the AI close enough to hear the answer.
A missed crop price pointed two engineers toward a language problem. Gnani.ai turned that problem into the machinery behind millions of enterprise conversations each day.
A stalled reply can give away a voice bot before it says a word. Smallest.ai built its business around shortening that pause - then discovered that the real test was what happened after the caller answered back.
A graduation reader flubbed one name. Praveen Shanbhag built a company around the few seconds before that happens - and found the same problem in classrooms, sales calls, and talking machines.
David AI began with a small robotics request and a stubborn recording problem: two people talking are much harder to capture cleanly than they sound. Today it licenses the resulting kind of data to voice AI labs and tests whether their machines are any good at talking back.
A missed delivery is not a question with an answer. It is a moving problem involving people, policies and minutes. Giga built its AI agents for that mess - and made the call itself the place where work gets done.
Phonely began with an after-hours demo and a first sale for $7 a month. Now three customers have invested in the company - and every phone script is a candidate for an experiment.
A Steve Jobs voice clone opened a door. The harder work was sitting beside a lender, learning the rules, and making a machine answer for every call.
A great voice-agent demo tells you how one call went. Coval wants to know what happens to the next ten thousand - especially when the caller goes off script.
Ellipsis Health spent years teaching software to hear signs of distress in a voice. Then it gave that software a job: call patients, listen, and help care teams reach the people they keep missing.