Dandy

Magic AI

Dandy

Vertical SaaS plus manufacturing. Dandy provides dental practices with intraoral scanners (often subsidized or free to eliminate the switching cost), cloud-based software for managing cases, and its own network of digital dental labs that manufacture the final restorations.

Dentists pay per case — each crown, bridge, veneer, or implant restoration is priced individually. The margin comes from manufacturing efficiency: digital workflows are faster, more precise, and require less manual labor than traditional hand-sculpted methods.

As volume grows, Dandy's labs get more efficient and per-unit costs drop. It's the classic razor-and-blades model — give away the scanner, make money on every restoration.

Magic AI

Magic is building an AI that works like a software engineer, not a chatbot. The goal is a model you can hand a whole code base and a task, and it writes, reviews, and debugs like a teammate.

Their edge is memory. In 2024 they showed off LTM-2-mini, a model with a 100 million token context window.

To put that in perspective, that is about 10 million lines of code the model can look at in one shot, by far the biggest of any model at the time. The plan is to sell this as an AI coworker to companies that write a lot of software.

As of the 2024 rounds, the product was still not for sale.

Dandy

Henry Stott was a repeat entrepreneur who had previously co-founded a tech company in the UK. When he looked at the dental industry, he saw a $15 billion lab market that was shockingly analog.

Here's how it worked: a dentist jams a tray of gooey putty into your mouth, waits for it to harden, mails the physical mold to a dental lab, where a technician hand-sculpts your crown out of ceramic. Turnaround: 2 to 3 weeks.

Error rate: high. Patient experience: miserable.

The technology to do this digitally had existed for years — 3D intraoral scanners, CAD/CAM software, CNC milling machines — but nobody had stitched it into a seamless end-to-end platform for the average dental practice. Stott started Dandy in 2020 to be that platform.

Provide the scanner, build the software, run the lab — and make it so easy that any dentist can switch from analog to digital without changing how they practice.

Magic AI

Eric Steinberger and Sebastian De Ro started Magic in 2022. Steinberger is an AI researcher who became convinced that the missing piece for a true AI software engineer was memory.

Chatbots forget what you told them a few thousand words ago. He wanted a model that could read your entire code base and remember all of it.

They raised a small seed in 2022, then a $23 million Series A in early 2023 led by Alphabet's growth fund CapitalG. From day one the pitch was not a chatbot.

It was an AI colleague that could handle real engineering work.

Dandy

Land-and-expand with dental practices. Dandy gives practices the scanner for free or at heavy discount, which eliminates the biggest barrier to switching from analog.

Once a practice starts submitting digital scans, they become recurring revenue — every patient who needs a crown is a Dandy order. Sales team targets mid-size practices (3 to 10 dentists) that are high-volume but haven't invested in digital yet.

Referral programs where existing dentists recommend Dandy to colleagues. Geographic density strategy — build lab capacity in a region, then saturate practices nearby to optimize logistics and turnaround times.

Content marketing educating dentists on why digital is better, faster, and more profitable than analog workflows.

Magic AI

Magic's strategy is research first, product later, which is both unusual and expensive. Instead of shipping an app and iterating in public, they raised huge sums to chase a technical breakthrough in model memory.

The headline move was the 100 million token context claim, which got the whole AI world talking. They also cut a deal with Google Cloud in 2024 to build two supercomputers, called Magic-G4 and Magic-G5, using NVIDIA chips, to train bigger models.

Star backers like Eric Schmidt served as validation. The bet is that if the tech is far enough ahead, the product and the customers follow.

Dandy

Dental practices are notoriously resistant to change — many dentists have used the same lab for 20 years and switching feels risky. The scanner hardware is expensive to subsidize at scale, creating a capital-intensive land grab.

Quality control across distributed manufacturing is hard — a crown that doesn't fit means a remake, an unhappy patient, and a dentist who might switch back to their old lab. Competition from established digital players like Align Technology and legacy lab companies investing in their own digital capabilities.

The dental industry is fragmented — 200,000+ practices in the US, mostly small businesses, which means enterprise-style sales don't work. Each practice is its own decision maker with its own habits.

Magic AI

Magic has raised close to half a billion dollars and, years in, still has no product the public can buy. That is the whole problem in one sentence.

A giant context window is a great demo, but rivals like Cursor, GitHub Copilot, and Cognition's Devin already have real users and revenue. Magic has to prove that more memory actually makes a smarter engineer, not just a bigger number on a slide.

And it has to do that while burning enormous sums on compute against competitors who are already shipping. The clock and the cash both keep running.

Dandy

Dandy Scanner — provided to dental practices, captures a full 3D digital impression of the patient's mouth in minutes. No more putty molds.

Cloud-based case management platform where dentists submit scans, approve designs, and track orders. AI-powered restoration design that generates crown and veneer designs automatically from 3D scans, reducing turnaround from weeks to days.

Digital dental lab network with automated CNC milling and 3D printing for manufacturing restorations. Shade matching technology using AI to color-match restorations to surrounding teeth.

Integration with practice management software so cases flow seamlessly from scan to delivery.

Magic AI

The centerpiece is Magic's LTM, or Long-Term Memory, model family. In 2024 they unveiled LTM-2-mini, a model with a 100 million token context window, pitched as the key to an AI that can understand an entire code base at once.

The broader product is an AI software engineer, or coworker, that can write and change code across a whole project. The company also announced Magic-G4 and Magic-G5, two supercomputers built with Google Cloud and NVIDIA to train these models.

Much of it is still research rather than a shipping product.

Dandy

Investors include Bessemer Venture Partners, IVP, DST Global, and IA Ventures. Series C in 2023 valued the company at approximately $1.8 billion.

Magic AI

Magic's backers are a murderers' row of AI insiders. It started with a $5 million seed round in 2022 and a $23 million Series A in early 2023 led by Alphabet's CapitalG.

Then in February 2024 came a $117 million round led by Nat Friedman and Daniel Gross, two of the most connected investors in AI. The blowout was August 2024.

Magic raised $320 million with checks from former Google CEO Eric Schmidt, CapitalG again, Atlassian, Jane Street, Sequoia, and Elad Gil. That pushed total funding to around $465 million, all for a company still building toward its first sellable product.