Top 14 AI Startups to Watch Out in 2022

Introduction

In 2024, despite the COVID-19 pandemic, we saw thousands of startups managing to produce major tech breakthroughs.

AI Startups all over the world manage to develop some innovative solutions. These innovations spanned from improving customer servicing to bringing more efficiency to healthcare.

List of 14 Emerging Artificial Intelligence Startups

1. Reekon

Reekon is a semi-autonomous customer service automation platform powered by artificial intelligence. It was founded in 2020, the startup aims to help companies handle their e-commerce and IT customer inquiries.

This platform enables organizations to generate answers and resolve customer queries automatically. This process leverages historical customer inquiries about products and services to generate actionable insights.

Besides, Reekon’s platforms successfully integrate with multiple customer service software such as Fresh Desk, Zendesk, and WooCommerce to automate customer requests.

2. Overwrite

Overwrite, a Singaporean startup, provides an adaptive learning platform. This platform customizes the learning progression of users with the help of machine learning (ML). They aim to enable children to learn and grow irrespective of their socio-economic circumstances.

The startup takes personalization a step further by creating the learning content as per individuals’ strengths and weaknesses. Lastly, it offers detailed analytics on the progress of users.

3. WhiteBox HR

WhiteBox HR, a UAE-based startup, develops ML algorithms for talent acquisition and management. Despite progress in terms of gender equality, there is still a long way to go. The startup aims to tackle gender inequality by eliminating recruitment bias in companies and help them focus on gender diversity while hiring.

The startup utilizes AI and analytics for the augmentation of the employee experience which increases employee satisfaction. Other than that, it also helps boost engagement, positivity, and productivity for stakeholders.

4. Accrad

Accrad, a South African startup, develops a deep learning-based X-ray solution for radiologists, CheXRad. The solution analyzes X-ray scans against healthy scans to predict disease markers.

CheXRad can drastically reduce the time taken by radiologists to analyze the scans and improves the accuracy. Moreover, the solution is trained with high-quality training set on a large scale.

The medical imaging advances produced by CheXRad enable doctors to efficiently identify disease markers and predict potential health concerns. AI plays a vital role in enabling clinicians to focus more on the patient rather than reports.

5. TeX.ai

TeX.ai, a US-based startup, develops AI-enabled software for text extraction, classification, and summarization. The startup utilizes AI, NLP, and deep learning to provide actionable insights by cleaning unstructured data based on structured data.

The startup uses AI algorithms to analyze word combinations from multiple sources of data. They then use it to identify opportunities for cost or process optimization.

The resultant solution is multi-lingual and can process a variety of text from different formats such as reports, emails, text messages, calls, and others.

6. Delta AI

Delta AI, an Australian startup, leverages the power of AI to distinguish content between reality and deep fakes. It leverages computer vision to develop social media intelligence tools to help realize the potential of happy customers.

Through their platform, they analyze social media content and then reveal parts of the video that are invisible to traditional, text-based search. This solution aims to enable brands to make strategic marketing decisions with accuracy.

Delta’s AI models interpret live data to provide contextual insights which can give a clearer picture of how products are being used around the world.

7. Anodot

Founded in 2014, Anodot, a United States startup, is an analytics platform. It leverages artificial intelligence and machine learning techniques to constantly analyze every business parameter. It provides real-time alerts and forecasts using unstructured log data and structured metrics data.

Anodot was also named in the Forbes’ Top 25 Machine Learning Startups to Watch in 2020. Besides, it has a customer base of more than 100 companies in the digital transformation industries.

8. Dataiku

Founded in 2013, Dataiku is an AI and Machine learning startup, headquartered in France. In 2014, the company announced its Data science studio. It is a ‘predictive modeling’ software for business applications.

The company aims to bring engineers, data analysts, and scientists together to create self-service analytics and operationalize ML. Dataiku already has some of the big enterprises under its clientele including Unilever, General Electric, and Comcast.

Alphabet Inc, Google’s parent company, also joined the company as an investor in 2019, achieving unicorn status. It is named a Leader in the Gartner 2020 Magic Quadrant for Data Science and Machine-Learning Platforms.

9. Eightfold.ai

Founded in 2016, Eightfold.ai, headquartered in California, is an expert in deep learning with the mission “Right career for everyone in the world”.

The company’s talent intelligence platform manages the whole talent lifecycle for enterprises. It uses AI in the most effective way to retain top performers, upskilled and reskilled workforce, recruit top talent efficiently, and reach diversity goals for organizations.

The USA-based AI Startups has also been named in Forbes’ Top 25 Machine Learning Startups to Watch in 2020.

10. Frame.ai

Founded in 2016, Frame AI is a startup that has developed a collaborative messaging platform. They aim to design and improve business conversations. The platform is a continuous monitoring system to inform data-driven CX priorities by making the customer voice an effective operational tool.

The AI Startups leverages Natural language processing (NLP) to understand and allow companies to listen to their customers. They scale their product across the many channels available for customer communications and make them actionable.

11. Viz.ai

Founded in 2016, Viz.ai is a medical imaging company based in the USA. They specialize in applied artificial intelligence in healthcare and leverage advanced deep learning to communicate time-sensitive information.

Viz.ai’s mission is to improve how healthcare is delivered in the world on a fundamental level. The intelligent software promises to improve access to care, reduce treatment time, and increase the speed of diffusion of medical innovation.

In April 2020, Viz.ai launched a COVID-19 patient triage software, Viz COVID-19, to improve patient management. It will also allow for a safer hospital workplace during the pandemic.

The startup has won the prestigious UCSF Digital Health Award for Best New Application of A.I.

12. Luminovo

Found in 2017, Luminovo is a deep learning startup that helps enterprises in the electronic industry to develop tailored applications. The startup aims to bring innovations to everyone by reducing the time and resources needed. They are SaaS providers for the electronics industry.

In April 2020, the startup raised a total of $2.5M in funding in a Pre-Seed round. It is also listed in Forbes’s list of Top 25 machine learning startups to watch in 2020.

13. Rosetta.ai

Founded in 2016, Rosetta.ai provides a deep learning platform. Their platform helps fashion e-commerce companies to understand consumers’ shopping behavior and preferences. This further helps them to personalize their on-site product recommendations.

The AI Startups is based in Asia-Pacific and focuses on the fashion industry. They dive deeper into fashion, in apparel, cosmetics, and accessory, to build deep learning models and algorithms suitable for the use case.

14. MixMode

MixMode is an AI-driven cybersecurity startup to bring a third-wave, context-aware AI approach. Through this approach, it can automatically learn and adapt to changing environments.

They have developed a predictive cybersecurity platform that is designed to reduce the number of alerts. They aim to deliver a continuous baseline of networks through their platform and allows users to focus on alerts that deserve their attention.

Their AI-Powered Network Traffic Analytics Platform provides predictive threat detection and deep network visibility capabilities to enable the client to efficiently perform real-time and retrospective threat detection and visualization.

Conclusion

In the last century, AI startups have become the pole-bearers of innovations and Innovation has been the backbone of humanity’s extraordinary progress. They have solved many daunting problems plaguing humanity.

This blog just gives a glimpse of the most exciting AI Startups currently. However, there is an ocean of AI startups working towards developments in various areas of Artificial Intelligence.