Macrometa

Macrometa

Hyper-distributed cloud platform for real-time applications

About Macrometa

Simplify's Rating
Why Macrometa is rated
B-
Rated C on Competitive Edge
Rated B on Growth Potential
Rated B on Rating Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

51-200

Company Stage

Series A

Total Funding

$26.3M

Headquarters

Palo Alto, California

Founded

2017

Overview

Macrometa provides a hyper-distributed cloud platform that focuses on improving the performance of real-time applications and enhancing search engine optimization (SEO). Their platform includes features like PhotonIQ, which accelerates application performance, and SEO pre-rendering, which helps websites rank better in search results. Macrometa's services are designed for enterprises that want to speed up their web services and create better user experiences. Unlike many competitors, Macrometa integrates AI-driven performance optimization and real-time analytics into their offerings, along with a strong emphasis on privacy protection. The company's goal is to help businesses increase conversions, organic search traffic, and user engagement through their advanced cloud solutions.

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Simplify's Take

What believers are saying

  • Partnership with Akamai expands market reach and credibility.
  • Growing demand for edge computing solutions boosts Macrometa's market potential.
  • Feature-flag-as-a-service trend enhances application performance and user experience.

What critics are saying

  • Increased competition from established players like Akamai could challenge market share.
  • Dependency on Akamai's infrastructure may limit operational flexibility.
  • Rapid technological advancements require continuous innovation to maintain competitive advantage.

What makes Macrometa unique

  • Macrometa offers a hyper-distributed cloud platform for real-time application performance.
  • The company integrates AI-driven performance optimization and real-time analytics.
  • Macrometa's PhotonIQ feature enhances SEO and privacy protection for better user engagement.

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Funding

Total Funding

$26.3M

Above

Industry Average

Funded Over

2 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Above Average

Industry standards

$15M
$8.2M
Discord
$15M
Canva
$20M
Macrometa
$100M
GitHub

Benefits

Remote Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-3%

2 year growth

3%
VentureBeat
Nov 22nd, 2022
Akamai And Macrometa Bring The Cloud And Edge Together

Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Watch now. Over 20 years ago, Cambridge, Massachusetts-based Akamai Technologies set out to solve some of the toughest challenges of making the “World Wide Web” a platform that could serve billions of humans around the world. To embody this mission, the company eventually rolled out the Akamai platform in 1999, which was edge computing in its earliest form (content delivery network or CDN), even before the advent of virtualization, and remains one of the most critical infrastructures for security and performance, underpinning the web as we know it today

SiliconANGLE
Nov 10th, 2022
Macrometa raises funding, partners with Akamai on edge computing solutions

Macrometa raises funding, partners with Akamai on edge computing solutions - SiliconANGLE

TechCrunch
Nov 9th, 2022
Akamai Leads $38M Round In Macrometa As The Two Strike Partnership

Edge computing cloud and global data network Macrometa has raised $38 million led by Akamai Technologies, as the two announce a new partnership and product integrations. The funding also included participation from Shasta Ventures and 60 Degree Capital. Akamai Labs CTO Andy Champagne will join Macrometa’s board. Macrometa founder and CEO Chetan Venkatesh told TechCrunch that its GDN enables cloud developers to run backend services closer to mobile phones, browsers, smart appliances, connected cars and users in edge regions, or points of presence (PoP). That reduces outages because if one edge region goes down, another one can take over instantly. Akamai’s edge network, meanwhile, covers 4,200 regions around the world

PR Newswire
Sep 14th, 2022
Macrometa And Devcycle Join Forces On The World'S First And Fastest Feature-Flag-As-A-Service (All From The Edge)

SAN MATEO, Calif., Sept. 14, 2022 /PRNewswire/ -- Macrometa Corporation , the first-of-its-kind Global Data Network (GDN) and edge computing platform, today announced a strategic partnership with DevCycle , the leader in innovative feature flagging solutions. This partnership enables DevCycle to launch Edge Flags , the world's first ultra low latency global feature flags solution from the edge built on Macrometa's Global Data Network. "The Macrometa platform enables DevCycle to take the Edge Flags solution to the ultimate level of performance and user experience. We think it will revolutionize the way feature flags are used by developers to build serverless apps in the cloud and the edge," said Aaron Glazer, CEO of DevCycle. "Data can now be saved as soon as it's available and accessed by lightning-fast APIs to make near-instantaneous flagging decisions. All engineers need to leverage that data is a simple User ID – this level of simplicity is unheard of. Feature flags have never been real time or this fast and seamless until now."

VentureBeat
Jul 23rd, 2022
3 Reasons The Centralized Cloud Is Failing Your Data-Driven Business

Join executives from July 26-28 for Transform's AI & Edge Week. Hear from top leaders discuss topics surrounding AL/ML technology, conversational AI, IVA, NLP, Edge, and more. Reserve your free pass now!. I recently heard the phrase, “One second to a human is fine – to a machine, it’s an eternity.” It made me reflect on the profound importance of data speed. Not just from a philosophical standpoint but a practical one. Users don’t much care how far data has to travel, just that it gets there fast. In event processing, the rate of speed for data to be ingested, processed and analyzed is almost imperceptible. Data speed also affects data quality

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