Macrometa

Macrometa

Hyper-distributed cloud platform for real-time apps

Overview

Macrometa operates a hyper-distributed cloud platform that helps real-time applications run faster and perform better in search results. Its services combine AI-driven performance optimization, real-time analytics, privacy protection, and features such as PhotonIQ for application acceleration and SEO pre-rendering to boost conversions and organic traffic. The platform is accessed via subscription-based services and enterprise contracts, delivering tools that accelerate web services, improve user experiences, and protect data privacy. Unlike typical cloud providers, Macrometa focuses on real-time, globally distributed performance and SEO-ready capabilities for enterprises, differentiating itself with built-in AI optimization, real-time analytics, and integrated privacy features. The goal is to enable faster, more reliable applications, better search visibility, and higher user engagement for customers operating at scale.

About Macrometa

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

Industries

Data & Analytics

Enterprise Software

Cybersecurity

AI & Machine Learning

Company Size

11-50

Company Stage

Series A

Total Funding

$27M

Headquarters

Palo Alto, California

Founded

2017

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Simplify's Take

What believers are saying

  • Akamai led $38M funding and partnered, integrating 4,200 regions for resilience.
  • DevCycle partnership launched Edge Flags for ultra-low latency feature flagging.
  • Akamai Labs CTO Andy Champagne joined board, enhancing edge expertise.

What critics are saying

  • Akamai subsumes Macrometa's tech post-$38M investment within 12-24 months.
  • Cloudflare Workers AI diverts PhotonIQ customers across 300+ cities in 3-9 months.
  • Fastly erodes real-time app market with superior PoP density in 6-12 months.

What makes Macrometa unique

  • Macrometa's GDN combines multi-model database, event processing, and compute across 175 PoPs.
  • PhotonIQ accelerates apps, boosts SEO via pre-rendering, and protects privacy.
  • Delivers under 50ms global RTT, 50X-100X faster than DynamoDB or MongoDB.

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Funding

Total Funding

$27M

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
$30M
Kalshi

Benefits

Remote Work Options

Flexible Work Hours

Company News

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 Media
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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