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Corporation
COMPUTER HARDWARE & SERVICES
microsoft.com

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Investments

177

Portfolio Exits

72

Funds

3

Partners & Customers

10

Service Providers

2

About Microsoft

Microsoft (NASDAQ: MSFT) is a global provider of software, hardware, and technology services. The company develops, manufactures, licenses supports, and sells computer software, consumer electronics, and personal computers and services.

Headquarters Location

One Microsoft Way

Redmond, Washington, 98052,

United States

425-882-8080

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Expert Collections containing Microsoft

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Find Microsoft in 6 Expert Collections, including E-Commerce.

E

E-Commerce

22 items

F

Fortune 500 Investor list

590 items

This is a collection of investors named in the 2019 Fortune 500 list of companies. All CB Insights profiles for active investment arms of a Fortune 500 company are included.

C

Conference Exhibitors

6,062 items

Companies that will be exhibiting at CES 2018

S

Smart Cities

2,332 items

Smart building tech covers energy management/HVAC tech, occupancy/security tech, connectivity/IoT tech, construction materials, robotics use in buildings, and the metaverse/virtual buildings.

T

The Edge Computing Landscape

456 items

Edge computing companies facilitate workload deployment in addition to providing data processing and storage at the farthest reaches of the network. These edge computing companies range from data centers at the edge to workload management tools designed to orchestrate edge deploy

M

Medical Devices

3,698 items

https://www.advamed.org/membership-join/membership-directory/ - excludes those without working websites.

Microsoft Web Traffic

Rank
Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
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Microsoft Rank

Latest Microsoft News

AI is using ‘fake’ data to learn to be less discriminatory and racist-Business Journal

Jun 28, 2022

Last week Microsoft said it would stop selling software that guesses a person’s mood by looking at their face. The reason: It could be discriminatory. Computer vision software, which is used in self-driving cars and facial recognition, has long had issues with errors that come at the expense of women and people of color. Microsoft’s decision to halt the system entirely is one way of dealing with the problem. But there’s another, novel approach that tech firms are exploring: training AI on “synthetic” images to make it less biased. The idea is a bit like training pilots. Instead of practicing in unpredictable, real-world conditions, most will spend hundreds of hours using flight simulators designed to cover a broad array of different scenarios they could experience in the air. A similar approach is being taken to train AI, which relies on carefully labelled data to work properly. Until recently, the software used to recognize people has been trained on thousands or millions of images of real people, but that can be time-consuming, invasive, and neglectful of large swathes of the population. Now many AI makers are using fake or “synthetic” images to train computers on a broader array of people, skin tones, ages or other features, essentially flipping the notion that fake data is bad. In fact, if used properly it’ll not only make software more trustworthy, but completely transform the economics of data as the “new oil.” In 2015, Simi Lindgren came up with the idea for a website called Yuty to sell beauty products for all skin types. She wanted to use AI to recommend skin care products by analyzing selfies, but training a system to do that accurately was difficult. A popular database of 70,000 licensed faces from Flickr, for instance, wasn’t diverse or inclusive enough. It showed facial hair on men, but not on women, and she says there weren’t enough melanin-rich — that is, darker-skinned — women to accurately detect their various skin conditions like acne or fine lines. She tried crowdsourcing and got just under 1,000 photos of faces from her network of friends and family. But even that wasn’t enough. Lindgren’s team then decided to create their own data to plug the gap. The answer was something called GANs. General adversarial networks or GANs are a type of neural network designed in 2014 by Ian Goodfellow, an AI researcher now at Alphabet’s DeepMind. The system works by trying to fool itself, and then humans, with new faces. You can try testing your ability to tell the difference between a fake face and a real one on this website set up by academics at the University of Washington, using a type of GAN. Lindgren used the method to create hundreds of thousands of photorealistic images and says she ended up with “a balanced dataset of diverse people, with diverse skin tones and diverse concerns.” Currently, about 80 per cent of the faces in Yuty’s database aren’t of real people but synthetic images which are labelled and checked by humans(3), she says, who help assess her platform’s growing accuracy. Lindgren is not alone in her approach. More than 50 startups currently generate synthetic data as a service, according to StartUs Insights, a market intelligence firm. Microsoft has experimented with it and Google is working with artificially-generated medical histories to help predict insurance fraud. Amazon.com Inc. said in January that it was using synthetic data to train Alexa to overcome privacy concerns. Remember when Big Tech platforms found themselves in hot water a few years ago for hiring contractors to listen in on random customers, to train their AI systems? ‘Fake’ data can help solve it. The trend is becoming so pervasive that Gartner estimates 60 per cent of all data used to train AI will be synthetic by 2024, and it will completely overshadow real data for AI training by 2030. The market for making synthetic images and videos is roughly divided into companies that use GANs, and those that design 3D graphics from scratch. Datagen Technologies, based in Tel Aviv, Israel, does the latter. Its CGI-style animations train car systems to detect sleepiness. Carmakers have historically trained their sensors by filming actors pretending to fall asleep at the wheel, says Gil Elbaz, co-founder of synthetic data startup Datagen, but that still leads to a limited set of examples. Fake data isn’t just being used to train vision recognition systems, but also predictive software, like the kinds banks use to decide who should get a loan. For example, to help design algorithms that distribute loans more fairly to minority groups, Fairgen makes databases of artificial people from minority groups with average credit scores that are closer to those from other groups. One bank in the UK is currently Fairgen’s data to hone its loan software. Cohen says manipulating the data that algorithms are trained on can help with positive discrimination and “recalibrating society.” Strange as it may sound, the growth of fake data is a step in the right direction, and not just because it avoids using people’s personal data. It could also disrupt the dynamics of selling data. Synthetic data also won’t eliminate bias completely, though, says Julien Cornebise, an honorary associate professor of computer science at University College London. “Bias is not only in the data. It’s in the people who develop these tools with their own cultural assumptions,” he says. “That’s the case for everything man-made.” Fake is the new real If used properly it’ll not only make software more trustworthy, but completely transform the economics of data Fake data isn’t just being used to train vision recognition systems, but also predictive software According to estimates, 60 per cent of all data used to train AI will be synthetic by 2024, and it will completely overshadow real data for AI training by 2030

Microsoft Investments

177 Investments

Microsoft has made 177 investments. Their latest investment was in Techpoint as part of their Grant on May 5, 2022.

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Microsoft Investments Activity

investments chart

Date

Round

Company

Amount

New?

Co-Investors

Sources

5/12/2022

Grant

Techpoint

$0.75M

Yes

1

4/18/2022

Convertible Note - II

Udaan

$25M

Yes

Undisclosed Investors

4

3/11/2022

Series D

ConsenSys

$450M

Yes

60

1/17/2022

Series B

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$99M

Subscribe to see more

10

9/29/2021

Corporate Minority

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10

Date

5/12/2022

4/18/2022

3/11/2022

1/17/2022

9/29/2021

Round

Grant

Convertible Note - II

Series D

Series B

Corporate Minority

Company

Techpoint

Udaan

ConsenSys

Subscribe to see more

Subscribe to see more

Amount

$0.75M

$25M

$450M

$99M

New?

Yes

Yes

Yes

Subscribe to see more

Subscribe to see more

Co-Investors

Undisclosed Investors

Sources

1

4

60

10

10

Microsoft Portfolio Exits

72 Portfolio Exits

Microsoft has 72 portfolio exits. Their latest portfolio exit was Cruise Automation on March 20, 2022.

Date

Exit

Companies

Valuation
Valuations are submitted by companies, mined from state filings or news, provided by VentureSource, or based on a comparables valuation model.

Acquirer

Sources

3/20/2022

Corporate Majority

$99M

11

1/31/2022

Acquired - II

$99M

55

12/2/2021

Reverse Merger

$99M

48

11/18/2021

Reverse Merger

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$99M

Subscribe to see more

10

10/27/2021

IPO - II

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$99M

Subscribe to see more

10

Date

3/20/2022

1/31/2022

12/2/2021

11/18/2021

10/27/2021

Exit

Corporate Majority

Acquired - II

Reverse Merger

Reverse Merger

IPO - II

Companies

Subscribe to see more

Subscribe to see more

Valuation

$99M

$99M

$99M

$99M

$99M

Acquirer

Subscribe to see more

Subscribe to see more

Sources

11

55

48

10

10

Microsoft Acquisitions

297 Acquisitions

Microsoft acquired 297 companies. Their latest acquisition was Miburo on June 14, 2022.

Date

Investment Stage

Companies

Valuation
Valuations are submitted by companies, mined from state filings or news, provided by VentureSource, or based on a comparables valuation model.

Total Funding

Note

Sources

6/14/2022

$99M

Acquired

17

5/30/2022

$99M

Acquired Unit

1

3/31/2022

Series A

$99M

$11.46M

Acquired

13

3/4/2022

Series D

Subscribe to see more

$99M

$99M

Subscribe to see more

10

1/18/2022

Subscribe to see more

$99M

Subscribe to see more

10

Date

6/14/2022

5/30/2022

3/31/2022

3/4/2022

1/18/2022

Investment Stage

Series A

Series D

Companies

Subscribe to see more

Subscribe to see more

Valuation

$99M

$99M

$99M

$99M

$99M

Total Funding

$11.46M

$99M

Note

Acquired

Acquired Unit

Acquired

Subscribe to see more

Subscribe to see more

Sources

17

1

13

10

10

Microsoft Fund History

3 Fund Histories

Microsoft has 3 funds, including Affordable Access Initiative.

Closing Date

Fund

Fund Type

Status

Amount

Sources

11/16/2015

Affordable Access Initiative

1

Climate Innovation Fund

10

Microsoft Climate Fund

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Subscribe to see more

10

Closing Date

11/16/2015

Fund

Affordable Access Initiative

Climate Innovation Fund

Microsoft Climate Fund

Fund Type

Subscribe to see more

Status

Subscribe to see more

Amount

Sources

1

10

10

Microsoft Partners & Customers

10 Partners and customers

Microsoft has 10 strategic partners and customers. Microsoft recently partnered with Ekinops on June 6, 2022.

Date

Type

Business Partner

Country

News Snippet

Sources

6/20/2022

Partner

France

1

6/17/2022

Partner

United States

1

6/16/2022

Partner

Ireland

2

6/16/2022

Partner

China, and

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10

6/15/2022

Partner

United States

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Subscribe to see more

10

Date

6/20/2022

6/17/2022

6/16/2022

6/16/2022

6/15/2022

Type

Partner

Partner

Partner

Partner

Partner

Business Partner

Country

France

United States

Ireland

China, and

United States

News Snippet

Subscribe to see more

Subscribe to see more

Subscribe to see more

Subscribe to see more

Sources

1

1

2

10

10

Microsoft Service Providers

2 Service Providers

Microsoft has 2 service provider relationships

Service Provider

Associated Rounds

Provider Type

Service Type

Acq - P2P, and Acquired

Investment Bank

Financial Advisor

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Service Provider

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Associated Rounds

Acq - P2P, and Acquired

Provider Type

Investment Bank

Subscribe to see more

Service Type

Financial Advisor

Partnership data by VentureSource

Microsoft Team

331 Team Members

Microsoft has 331 team members, including current Chief Executive Officer, Satya Nadella.

Name

Work History

Title

Status

Anthony Clay

Founder

Current

William H. Gates

Founder

Current

Kumar Malavalli

Founder

Current

Brad Pelo

Founder

Current

Satya Nadella

Chief Executive Officer

Current

Name

Anthony Clay

William H. Gates

Kumar Malavalli

Brad Pelo

Satya Nadella

Work History

Title

Founder

Founder

Founder

Founder

Chief Executive Officer

Status

Current

Current

Current

Current

Current

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SAP Logo
SAP

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Eurotech

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