Top Machine Learning Startups that Appeared in 2020

 Machine learning is an artificial intelligence (AI) application that allows systems to learn automatically and improve from experience without human intervention. Businesses adopt machine learning to analyze massive quantities of data. As a result, they get a timely and accurate outcome that helps them identify profitable opportunities or harmful risks.

According to Forbes, about 9,216 companies and startups used machine learning in their products, services, main and ancillary application in 2020. That was an increase of 6% from the previous year 8,705 startups applied AI solutions. However, the artificial intelligence deals decreased from 164 in Q4 2019 to 148 in Q1 2020.

Some of the machine learning startups that caught attention in 2020 includes;

1. Comet.ml

Comet provides a Meta machine learning platform that is self-hosted and cloud-based. Data scientists and teams can reproduce, track, explain, compare and optimize models and experiments through it. It aims to bring transparency, efficiency, and reproducibility into ML and AI.

Through Comet, you can save time by using a hyperparameter optimization algorithm to tune ML models. The company has raised about $6.8M in funding over four rounds, with the latest happening in April 2020. Finally, some of its customers include Google and Uber.

• Tecton

Uber Michelangelo creators founded Tecton.ai to provide world-class machine learning access across the world. On 28th April 2020, it announced to use $25 million in seed and Series A funding. Andreessen Horowitz and Sequoia were leading the financing.

Through Tecton machine learning, data scientists turn raw data into a production-ready feature. Besides, the private beta company has famous customers such as a Fortune 50 company.

• AI.Reverie

Al.Reverie offers machine learning for data generation, labeling, and enhancement. On 19th February 2021, the company announced a 3× growth in business in 2020. The company was named a vendor in the U.S. Air Force’s $3.3billion, five-year Advanced Battle Management System (ABMS) program and won the $1.5m contract of AFWERX Phase 2 SBIR.

 According to Daeil Kim, the founder and CEO of the company, enterprises were under pressure, and they had to be creative in 2020. Therefore, the data procurement world was not an exception. As a result, AI.Reverie took advantage and helped organizations to develop visual data instead of capturing it manually.

• Fetch. AI

It is a global-changing project that connects IoT devices and algorithms for collective learning. Through it, organizations can employ ML/AI solutions for decentralized problem-solving.  The Fetch.AI team works with top academics and corporate partners globally for the best solutions.

The company was inviting software testers and developers to participate in their incentive testnet program on 22nd October 2020. It aimed to create an infrastructure needed by software agents to unlocked the value in wasted data and arrange complex tasks to benefit organizations.

• Dataiku

Dataiku was established in 2013 to bridge the gap in data science, AI, and machine learning. It offers Dataiku DSS that allows business experts to analyze, visualize, and model data for better decision-making visually.

If you are a scientist, engineer, or architect, you can use Dataiku for end-to-end machine learning pipelines with orchestration and programmatic control. As a result, organizations can use AI safely and effectively in data and number of employees leveraging.

• Jus Mundi

Are you in the law field? Jus Mundi helps you to access international law in transparency and easily. The company uses artificial and collaborative intelligence to develop global legal data. As a result, law firms can use technology to conduct extensive international legal research efficiently.

The company appeared in Forbe’s list of top 25 machine learning startups in 2020. Besides, the company announced to close a €1 million seed funding round. Though it is a young company, it has attracted prominent firms such as Clifford Chance, Evershed Sutherland, and DLA Piper. It aims to become the leading law resource provider across the world.

• H20.AI

H20.AI helps every industry, from finance to manufacturing, in developing high-quality AI models and apps. In the finance industry, the company helps to detect fraudulent transactions on time through artificial intelligence. Also, you can forecast the customers’ behaviors in the industry.

Gartner’s 2020 Magic Quadrant for Data Science and Machine Learning announced the company as a visionary for machine learning and data science. Besides, the CB Insight announced it as the fourth annual AI 100 ranking in 2020. The CB Insights lists the top 100 promising private artificial intelligence startup companies worldwide.

• Butterfly Network

It is a digital healthcare company that provides medical imaging across the world. The company is working to reach out to the 4.7 billion population unable to access this essential service. The company applies semiconductor engineering, AI, and connected mobile software in developing its solutions. When the three combine, it results in Butterfly IQ, the first handheld whole-body ultrasound system globally.

On 8th October 2020, Butterfly launched its next-generation Butterfly IQ+ point-of-care-ultrasound (POCUS). The technology turns your smartphone into a diagnostic imaging system. By placing a chip on ultrasound, the company can provide an affordable whole-body ultrasound device at $1,999, plus membership.

• Frame AI

Frame AI is a startup company in New York that uses artificial intelligence and machine learning to understand its customers across multiple channels better. Through Frame, you can search, collect, unify and report on your chat or email everywhere you connect with your customers.

In April 2020, the intelligence hub announced a $6.3 million Series A investment. According to Frame CEO and co-founder George Davis, customer experience experts are working hard to interact with customers in their companies and analyzing the feedback on behalf of everyone. However, there aren’t many tools to ease their work, so Frame is coming in to digitalize the customer experience.

1. StormForge

It provides Kubernetes Performance Testing and Rapid Experimentation. As a result, companies can deliver flawless app performance and cloud efficiency proactively without errors. The company has worked with famous customers, including Eurowings, Digital Ocean, RTL, and VORWERK.

The company was relaunched in November 2020 from its former name, Carbon Relay. If you are a DevOps team member, you can release your apps together with partners with confidence through the help of StormForge. Besides, IT gurus can put the cloud-native approach into practice by combining community, tools, and skills.

Organizations are adopting artificial intelligence in their operations heavily. As a result, machine learning startups are finding a platform to showcase their solutions across all industries. In 2020, significant startups did wonders in various sectors like healthcare and finance.