AT A GLANCE

Uber
Magic AI
2009
Founded
2022
San Francisco, California
HQ
San Francisco, USA
$25.2 Billion
Total Raised
$465 million
Travis Kalanick & Garrett Camp
Founder
Eric Steinberger and Sebastian De Ro
Mobility
Type
AI
Public (NYSE: UBER)
Status
Private

FUNDING HISTORY

Uber

Seed2010
$2M raised$5M val.
Series A2011
$11M raised$60M val.
Series B2011
$37M raised$330M val.
Series C2013
$258M raised$3.5B val.
Series D2014
$1.2B raised$17.0B val.
Series E2015
$1.0B raised$51.0B val.
Series G2016
$3.5B raised$62.5B val.
Series G-22018
$7.7B raised$72.0B val.
IPO2019
$8.1B raised$82.4B val.

Magic AI

Seed2022
$5M raised
Series A2023
$23M raised
Venture Round2024
$117M raised
Venture Round2024
$320M raised

BUSINESS MODEL

Uber

Uber is a marketplace that connects riders with drivers. You request a ride through the app, the nearest driver accepts, picks you up, drops you off, and Uber takes a cut — typically 25-30% of the fare.

The driver keeps the rest. Uber doesn't own any cars.

They don't employ any drivers. They built a company worth well north of $150 billion by being the middleman with a really good app.

The model expanded into Uber Eats (food delivery, same concept — restaurants cook, drivers deliver, Uber takes a cut), Uber Freight (connecting truckers with shippers), and advertising. The advertising business is quietly enormous — Uber has data on where millions of people go every day, and brands will pay handsomely for that.

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.

HOW THEY STARTED

Uber

The idea started in Paris in December 2008. Travis Kalanick and Garrett Camp were at the LeWeb tech conference and couldn't find a cab.

Camp had been obsessing over the idea of summoning a car with your phone. He bought the domain UberCab.com, built a prototype, and recruited Kalanick to help run it.

The first version launched in San Francisco in 2010 as a black car service — not the cheap rideshare everyone knows today. You'd tap a button, a Lincoln Town Car would show up, and it cost about 1.5x a regular taxi.

Ryan Graves answered a tweet from Kalanick looking for an "entrepreneurial product manager" and became employee number one. He ran operations while Kalanick was still finishing up another startup.

Graves would later become CEO briefly before handing the reins to Kalanick. The app launched with just a handful of cars in San Francisco.

It worked so well that riders couldn't shut up about it.

The real inflection point came in 2012 when they launched UberX — regular people driving their own cars at prices cheaper than taxis. That one decision turned Uber from a luxury black car service into a verb.

Within two years, UberX was available in hundreds of cities and the word "Uber" had entered the dictionary.

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.

HOW THEY GREW

Uber

Uber's early growth strategy was beautifully ruthless. They'd roll into a new city, launch without asking permission, and deal with the regulatory fallout later.

Kalanick's stated version, which became known as Travis's Law, was that the product was so much better than a taxi that riders would defend its right to exist. In practice it meant launching first and arguing later.

The playbook was simple: launch in a new city, give massive discounts to riders (sometimes completely free rides), pay drivers signing bonuses and guaranteed hourly rates, and flood the zone until the city was hooked. Then slowly raise prices and cut driver incentives once the market was locked.

They burned billions doing this but it worked — by 2016 Uber was in 500+ cities across 70 countries.

They also weaponized word of mouth with referral codes. Every rider could give free rides to friends.

Every new driver got a bonus for signing up. The viral loop was insane.

At peak growth, Uber was adding a new city every day.

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.

THE HARD PART

Uber

Where do you even start? Uber might have faced more simultaneous existential crises than any company in history.

Regulatory wars. Taxi unions, city governments, and entire countries tried to shut Uber down.

London revoked their license. France arrested two executives.

Uber was banned, unbanned, re-banned, and sued in dozens of jurisdictions simultaneously.

The toxic culture. In 2017, former engineer Susan Fowler published a blog post describing rampant sexual harassment, discrimination, and HR cover-ups at Uber.

It went nuclear. Investigation after investigation followed.

Board members resigned. Executives were fired.

Travis Kalanick's ouster. After the culture scandals, a leaked video of him berating an Uber driver, and a federal investigation into stolen trade secrets from Google's self-driving car unit Waymo, the board forced Kalanick to resign as CEO in June 2017.

Dara Khosrowshahi came in from Expedia to clean things up.

The cash burn was legendary. Uber lost $8.5 billion in 2019 alone.

They subsidized rides so heavily that riders were paying less than the actual cost of the trip. The company did not turn its first operating profit until the second quarter of 2023 — fourteen years after it was founded.

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.

THE PRODUCTS

Uber

Uber Rides is the core product — get from A to B in someone else's car. UberX is the standard option, Uber Black is the premium black car tier, UberXL fits bigger groups, and Uber Reserve lets you schedule rides in advance.

Uber Eats is the food delivery arm and competes directly with DoorDash and Grubhub. Uber Freight is the logistics play — basically Uber for semi-trucks, connecting carriers with shippers.

Uber for Business lets companies manage employee rides and meals. Uber now also offers package delivery, grocery delivery, and even boat rides in some cities.

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.

WHO BACKED THEM

Uber

Benchmark Capital, First Round Capital, Menlo Ventures, Jeff Bezos, Goldman Sachs, Google Ventures, Saudi Arabia's Public Investment Fund, SoftBank, Toyota, PayPal co-founder Peter Thiel, Tencent

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.

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