In 2019, the worldwide data science market was estimated to be worth roughly $3.93 billion. From 2020 to 2027, the market is predicted to develop at a compound annual growth rate (CAGR) of 26%. In today’s environment, one out of every ten businesses employ more than ten AI applications ranging from a chatbot to a fraud detector to security. The rising usage of machine learning across sectors has demonstrated how its algorithms and methodologies efficiently solve complicated real-world issues. Here is a list of most 10 recognized AI startups worldwide in 2022.
Several AI startups are at the forefront of this issue, tackling challenges at a rate never seen before through innovation and better technology. And these startups’ advancements in the AI business appear to be unstoppable.
Here is a list of some of the prominent AI startups that are changing the AI sector.
1. Reverie:
The machine learning industry runs on data. With this in mind, the firm was established in 2016. AI. reverie is a New York-based simulation platform that delivers synthetic data to help the training of AI and machine learning algorithms more economical, rapid, and productive.
The firm provides APIs for synthetic data and vision in areas such as smart cities, defence, retail, agriculture, and others. Forbes named it one of the Top 25 Machine Learning Startups to Watch in 2020. It has also been rated a Gartner cool vendor in key AI technologies for 2020.
2. Anadot:
Anodot is a 2014 startup located in the United States. It is an analytics platform that continually analyses and correlates every business characteristic using machine learning and artificial intelligence techniques, offering real-time warnings and forecasts utilising real-time structured metrics data and unstructured log data.
Anodot has over 100 clients in digital transformation industries such as e-commerce, FinTech, AdTech, Telco, and Gaming, including tech titans such as Microsoft, Lyft, Waze, and King.
It was also named one of the Top 25 Machine Learning Startups to Watch in 2020 by Forbes.
3. Dataiku:
Dataiku is a Paris-based AI and machine learning firm that was formed in 2013. In 2014, the company unveiled its Data science studio, a ‘predictive modelling’ programme for corporate applications. The product is offered in two versions: free and enterprise. The company’s vision is to bring together data analysts, engineers, and scientists to provide self-service analytics while also operationalizing machine learning.
Customers of Dataiku include large corporations such as Unilever, General Electric, and Comcast.
In 2019, Alphabet Inc. became a shareholder and the firm earned unicorn status. Dataiku has been awarded a Gartner 2020 Magic Quadrant Leader for Data Science and Machine-Learning Platforms.
4. Eightfold.ai:
Eightfold Ai was formed in 2016 by top specialists in deep learning and is located in Mountain View, California, with the purpose of “Providing the Right Career for Everyone in the World.” Enterprises may use the company’s talent intelligence platform to manage the whole employee lifecycle. The platform employs AI in the most efficient manner for enterprises to retain top performers, upskill and reskill the workforce, effectively acquire top talent, and achieve diversity goals.
The deep learning artificial intelligence platform from Eightfold.ai enables businesses to convert talent management into a competitive advantage. The firm revealed in November 2020 that it had secured $125 million in its current series D investment round and that it was valued at $1 billion, making it the newest entry into the startup unicorn club.
Also included in Forbes’ list of the Top 25 Machine Learning Startups to Watch in 2020.
5. Frame.ai:
Frame AI, a 2016 company, is the creator of a collaborative messaging platform aimed to improve corporate communications. The platform serves as an early warning and continuous monitoring system, transforming customer feedback into an effective operational tool for informing data-driven CX goals.
Natural language understanding is used by the firm to enable organisations to listen to their consumers at scale across the numerous channels available for customer contacts and make them actionable promptly. CX teams utilise Frame AI to determine the “why” behind customer results, allowing them to scale what works effectively while limiting the impact of what doesn’t.
6. BigML:
BigML is a prominent machine learning startup that makes machine learning simple, attractive, and easy to grasp for everyone. It uses (MLASS) machine learning as a service to assist thousands of organisations worldwide in making highly automated, data-driven choices.
The firm provides a wide range of fundamental Machine Learning tools that may be used to accomplish complicated Machine Learning challenges. Customers may gain access to these resources using the BigML Dashboard, an easy-to-use web-based interface, or programmatically through the REST API. Aside from commercial activities, it is actively supporting Machine Learning in education throughout the world through its education programme.
7. Instreamatic:
Instreamatic is an AI-powered Voice Dialogue Marketing platform meant to enable interactive, dialogue-based marketing on mobile platforms. The business trains Voice AI algorithms using natural language understanding (NLU). By integrating innovative interactive speech AI technologies, it enables media firms and advertising to monitor, manage, and monetize audio content.
Since its inception in 2015, the firm has secured $2.2 million in five rounds of investment. Their most recent funding came in the form of a Seed round in April 2020.
8. Alation:
Alation is a data catalogue startup that aims to make the world more data fluent by transforming the way people locate, comprehend, and trust data. Alation, the first company to bring a data catalogue to market, blends machine learning and human cooperation to boost the certainty of data-driven judgments.
The Alation Data Catalog is used by over 100 businesses, including the City of San Diego, eBay, Munich Re, and Pfizer.
9. Viz.ai:
Viz.ai was created in 2016 and is headquartered in San Francisco, California. It is a medical imaging firm that focuses in artificial intelligence applications in healthcare. The startup uses powerful deep learning to send time-sensitive information about stroke victims directly to a physician who can intervene and treat them.
Viz.ai’s objective is to fundamentally alter how healthcare is provided throughout the world by using intelligent software that promises to shorten treatment times, enhance access to care, and accelerate the spread of medical innovation.
Viz.ai introduced Viz COVID-19, a COVID-19 patient triage programme, in April 2020 to improve patient management and enable for a safer hospital environment during the pandemic. Viz.ai has been named the winner of the prestigious UCSF Digital Health Award for Best New AI Application.
10. Luminovo:
Luminovo, founded in 2017, is a deep learning startup that assists organisations in developing customised applications in the electrical sector. The firm aspired to deliver innovations to everyone faster by lowering the time and resources required to transform an idea into a market-ready electrical product. Luminovo is a software-as-a-service provider for the electronics sector.
In an April 2020 Pre-Seed round, Luminovo secured a total of $2.5M in investment. It is also featured as one of the top 25 machine learning startups to watch in 2020 by Forbes.
