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Top Building Radar Alternatives, Competitors & Similar Software

Founded 2014

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Clir Renewables, Beedoo Edtech and Expandi. These Building Radar competitors have raised $172.4M and together serve more than 7.3K customers and employ over 1.8K team members.

Compare Building Radar with Clir Renewables
1
Clir Renewables

AI & Machine Learning Operationalization (MLOps) Software

Clir is a renewable energy optimization and reporting software that increases the performance and profitability of renewable plants.

Revenue
$10.7M
Customers
37
Year founded
2016
Funding
$9.1M
Team size
45
Location
Canada
Compare Building Radar with Expandi
3
Expandi

AI & Machine Learning Operationalization (MLOps) Software

Expandi is a software company that provides a cloud-based automation tool for managing LinkedIn outreach and engagement. The platform uses artificial intelligence and machine learning algorithms to help businesses and individuals automate their LinkedIn prospecting, lead generation, and messaging workflows. Expandi offers features such as personalized messaging, auto-follow-ups, campaign analytics, and integration with third-party CRMs

Revenue
$10.7M
Customers
3.7K
Year founded
2019
Funding
-
Team size
54
Location
Netherlands
Compare Building Radar with Expandi
4
Expandi

AI & Machine Learning Operationalization (MLOps) Software

Expandi is a software company that provides a cloud-based automation tool for managing LinkedIn outreach and engagement. The platform uses artificial intelligence and machine learning algorithms to help businesses and individuals automate their LinkedIn prospecting, lead generation, and messaging workflows. Expandi offers features such as personalized messaging, auto-follow-ups, campaign analytics, and integration with third-party CRMs

Revenue
$10.7M
Customers
3.7K
Year founded
2019
Funding
-
Team size
54
Location
Netherlands
Compare Building Radar with Honeycomb
5
Honeycomb

AI & Machine Learning Operationalization (MLOps) Software

Provider of software that offers full-stack observability designed to solve the hard problems that arise from operating a modern software stack with event-driven debugging. The company's software is designed for high cardinality data and collaborative problem solving, enabling engineers to deeply understand and debug production software together as well as instrument and query the behavior of their system.

Revenue
$10.8M
Customers
-
Year founded
2016
Funding
$46.9M
Team size
238
Location
United States
Compare Building Radar with awoo Bros. Internet Inc.
6
awoo Bros. Internet Inc.

AI & Machine Learning Operationalization (MLOps) Software

awoo, the leading SEO brand in Taiwan, has over 12 years of industry experience and serviced more than 600 companies. By leveraging both artificial intelligence and search engine expertise, awoo built its Marketing AI to help businesses growth hack their traffics. With over 12,000 corporate users and partnership from Google and HubSpot, awoo has entered the Japan market with the aim of building a world-class Marketing Automation AI company.

Revenue
$10.7M
Customers
-
Year founded
2005
Funding
-
Team size
134
Location
Taiwan
Compare Building Radar with awoo Bros. Internet Inc.
7
awoo Bros. Internet Inc.

AI & Machine Learning Operationalization (MLOps) Software

awoo, the leading SEO brand in Taiwan, has over 12 years of industry experience and serviced more than 600 companies. By leveraging both artificial intelligence and search engine expertise, awoo built its Marketing AI to help businesses growth hack their traffics. With over 12,000 corporate users and partnership from Google and HubSpot, awoo has entered the Japan market with the aim of building a world-class Marketing Automation AI company.

Revenue
$10.7M
Customers
-
Year founded
2005
Funding
-
Team size
134
Location
Taiwan
Compare Building Radar with vHive
8
vHive

AI & Machine Learning Operationalization (MLOps) Software

vHive provides a cloud-based software platform that enables enterprises to digitize and analyze assets using autonomous drone hives.

Revenue
$10.8M
Customers
-
Year founded
2016
Funding
$36.5M
Team size
96
Location
United States
Compare Building Radar with UP42
9
UP42

AI & Machine Learning Operationalization (MLOps) Software

UP42 was founded in 2019 with a clear purpose: to transform how organizations order, access, and analyze Earth observation data. Our platform brings together the world’s leading geospatial providers, and offers a single touchpoint to access, manage, and process data at scale. From vegetation management and infrastructure monitoring to disaster response, UP42 helps organizations across industries find solutions to complex problems through Earth observation. Our expert support team and detailed documentation guide our users through every step.

Revenue
$10.8M
Customers
-
Year founded
2018
Funding
-
Team size
98
Location
Germany
Compare Building Radar with UP42
10
UP42

AI & Machine Learning Operationalization (MLOps) Software

UP42 was founded in 2019 with a clear purpose: to transform how organizations order, access, and analyze Earth observation data. Our platform brings together the world’s leading geospatial providers, and offers a single touchpoint to access, manage, and process data at scale. From vegetation management and infrastructure monitoring to disaster response, UP42 helps organizations across industries find solutions to complex problems through Earth observation. Our expert support team and detailed documentation guide our users through every step.

Revenue
$10.8M
Customers
-
Year founded
2018
Funding
-
Team size
98
Location
Germany
Compare Building Radar with Tadaweb
15
Tadaweb

AI & Machine Learning Operationalization (MLOps) Software

Our purpose is to make the world safer by empowering the human mind with the right information at the right time. We combine technology with human intuition and expertise, focusing on transparency and ethics to reshape how organizations navigate and utilize the digital world. Our PAI & OSINT platform can empower your investigations, delivering timely, secure, and comprehensive intelligence to drive your decisions. Our company culture is driven by the core values of family first, nothing is impossible, and work hard, play harder. There’s a healthy and positive culture to care about employee well-being by creating a great workplace, which shows up in the investments we make in our offices and social perks.

Revenue
$10.8M
Customers
-
Year founded
2011
Funding
-
Team size
98
Location
Luxembourg
Compare Building Radar with Blazeo
16
Blazeo

AI & Machine Learning Operationalization (MLOps) Software

Our purpose is to help local businesses thrive. Blazeo is an ad conversion platform. As a tech-enabled services business, the services we provide include lead capture, lead qualification, appointment setting, and retainer signing. The tools we use to do this include live chat, voice call centers, virtual assistant, and SMS communications. The tools we provide are highly customizable, allowing our services to grow as our clients expand. Our industry trained agents provide expertise for each customer, 24/7. We aim to be the most support-centric, comprehensive solution for our customer in our niche. We started with the mission to revolutionize customer-business communications by utilizing smartphones. Our founder, Ashaad Syed, built a prototype and advertised online before partnering with Jim Bert to launch what became Blazeo.

 In our first few years, we built a system capable of handling hundreds of thousands of customers, sparking growth from word-of-mouth referrals. By 2013, we hired our first salesperson, David Scheppler, and continued to branch out from our original chat product, ApexChat. Today, as an ad conversion platform, we’ve expanded to 400+ employees spread out over 4 offices and remote locations worldwide. We’re proud of our professional and financial growth as a self-motivated team, driving product innovation that identifies our clients’ needs to generate tangible, life-changing business results.

Revenue
$10.8M
Customers
-
Year founded
2008
Funding
-
Team size
98
Location
United States
Compare Building Radar with Tadaweb
17
Tadaweb

AI & Machine Learning Operationalization (MLOps) Software

Our purpose is to make the world safer by empowering the human mind with the right information at the right time. We combine technology with human intuition and expertise, focusing on transparency and ethics to reshape how organizations navigate and utilize the digital world. Our PAI & OSINT platform can empower your investigations, delivering timely, secure, and comprehensive intelligence to drive your decisions. Our company culture is driven by the core values of family first, nothing is impossible, and work hard, play harder. There’s a healthy and positive culture to care about employee well-being by creating a great workplace, which shows up in the investments we make in our offices and social perks.

Revenue
$10.8M
Customers
-
Year founded
2011
Funding
-
Team size
98
Location
Luxembourg
Compare Building Radar with Swim.ai
18
Swim.ai

AI & Machine Learning Operationalization (MLOps) Software

Developer of data processing and edge analytics software designed to deliver powerful real-time business and operational insights. The company's software uses machine learning and edge computing to process streaming data as it is generated in real-time at the edge without needing a message broker or central databases. Software combines and analyses data sources, builds a digital twin model or each source and finds critical events, anomalies and correlations in order to reduce data volumes, enabling businesses and governments to reduce, analyze, learn and predict from 'gray' edge data.

Revenue
$10.7M
Customers
-
Year founded
2015
Funding
$25.4M
Team size
36
Location
United States
Compare Building Radar with Swim.ai
19
Swim.ai

AI & Machine Learning Operationalization (MLOps) Software

Developer of data processing and edge analytics software designed to deliver powerful real-time business and operational insights. The company's software uses machine learning and edge computing to process streaming data as it is generated in real-time at the edge without needing a message broker or central databases. Software combines and analyses data sources, builds a digital twin model or each source and finds critical events, anomalies and correlations in order to reduce data volumes, enabling businesses and governments to reduce, analyze, learn and predict from 'gray' edge data.

Revenue
$10.7M
Customers
-
Year founded
2015
Funding
$25.4M
Team size
36
Location
United States
Compare Building Radar with Swim.ai
20
Swim.ai

AI & Machine Learning Operationalization (MLOps) Software

Developer of data processing and edge analytics software designed to deliver powerful real-time business and operational insights. The company's software uses machine learning and edge computing to process streaming data as it is generated in real-time at the edge without needing a message broker or central databases. Software combines and analyses data sources, builds a digital twin model or each source and finds critical events, anomalies and correlations in order to reduce data volumes, enabling businesses and governments to reduce, analyze, learn and predict from 'gray' edge data.

Revenue
$10.7M
Customers
-
Year founded
2015
Funding
$25.4M
Team size
36
Location
United States
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