10 Top AI Startups to Keep an Eye On: Everything You Should Know

Top AI Startups

1. AI. Reverie.

AI. Reverie is a New York-based startup founded in 2016. It is a simulation-based platform providing synthetic data, created to make Artificial Intelligence and machine learning algorithms faster, more productive, and more affordable. AI. Reverie was named one of the Top 25 Machine Learning Startups to Watch in 2020 by Forbes. The company offers vision APIs and synthetic data across various industries, including agriculture, defense, and retail. Artificial Intelligence and machine learning work hand in hand, so this company bears close watching!

Note: This is predicted to be the one of the fastest growing company in the top AI startups

2. Anodot.

This US-based AI startup was founded in 2014. Anodot is an analytics platform that utilizes AI and machine learning to continually analyze and correlate all business parameters, offering real-time alerts and forecasts by employing unstructured log data and real-time structured metrics data. Like AI. Reverie, Anodot made the Forbes list of Top 25 Machine Learning Startups to Watch in 2020. Anodot boasts over 100 customers in digital transformation industries.

3. BigML.

BigML’s mission is to make ML beautiful, simple, and approachable by everyone. The company provides a diverse selection of primary machine learning resources that can combine into solutions to solve challenging machine learning tasks. Clients access these resources via an intuitive web-based interface known as the BigML Dashboard, or programmatically by its REST API. In addition, BigML employs Machine Learning as a Service (MLASS) to help thousands of businesses worldwide make data-driven, highly automated decisions. The company also actively promotes machine learning in learning institutions around the world via its education program.

4. Graphcore.

Graphcore is a UK-based hardware systems company officially founded in 2016. It develops IPU-Accelerator and IPU-Appliance products designed to boost machine learning applications. However, its standout product is the Intelligence Processing Unit (IPU), explicitly designed for Artificial Intelligence operations. Thanks to the IPU’s unique architecture, developers can run current machine learning models substantially faster. More importantly, the IPU allows Artificial Intelligence researchers to undertake entirely new types of projects not otherwise possible using current technologies to spearhead the next significant breakthroughs in AI and ML.

5. Kasisto.

If you’ve ever dealt with a chatbot during a banking or other financial-related inquiry, you may have experienced Kasisto’s Digital Experience Platform, called KAI. Kasisto, founded in 2013, helps financial institutions handle customer service tasks (e.g., serve, engage, acquire) via AI-fueled, human-like conversations. KAI engages millions of customers across multiple channels worldwide in many different languages. Kasisto’s customers include financial heavy hitters like J.P. Morgan, Manulife Bank, Mastercard, Standard Chartered, DBS Bank, TD Bank, and other respected institutions.

6. MixMode.

 Since cybersecurity is a critical topic today, naturally, there needs to be at least one cybersecurity-related entry on this list! MixMode, founded in 2012, is the first company to introduce a third-wave, context-aware Artificial Intelligence approach that automatically learns and adapts to constantly changing environments. Their predictive cybersecurity platform reduces the number of alerts, allowing users to focus on the alerts that deserve attention. In addition, MixMode’s AI-Powered Network Traffic Analytics Platform offers predictive threat detection capabilities and deep network visibility, allowing security teams to perform real-time and retrospective threat detection and visualization.

7. OctoML.

OctoML was founded in 2019 by the same team that created the open-source Apache TVM ML deep learning compiler stack project. Their goal is to help more developers to deploy ML models more efficiently and safely to more hardware, thereby spreading the good news about machine learning. The idea behind both TVM and OctoML is to leverage machine learning to optimize ML models. Consequently, the models can run on many different types of hardware more efficiently.

8. Persado.

Persado, founded in 2012, offers a Marketing Language Cloud that uses AI to generate language that meshes with almost any audience. The Marketing Language Cloud consists of the world's largest enterprise language database. The database features over one million tagged and scored phrases and words, best suited for building and retaining customer loyalty. In addition, Persado employs machine learning models that generate content that best fits the individual customer, improves customer service experience, and boosts engagement.

9. Syntiant.

Syntiant, founded in 2017, brings together the best of semiconductor design and deep learning, made to improve machine learning capabilities in edge devices. Syntiant uses massively parallel neural networks perfectly suited for the kind of high computational workloads that real-time applications require. Syntiant’s solutions are perfect for small devices that run demanding sensor and image tasks that are always on.

10. Viz.ai.

Viz.ai is a San Francisco-based medical imaging company founded in 2016., specializing in applying Artificial Intelligence principles to the healthcare industry. Viz.ai’s stated mission is to employ intelligent software that fundamentally improves how healthcare is delivered worldwide. The company’s efforts involve improving access to care, reducing time to treatment, and increasing medical innovation’s diffusion speed. Viz.ai distinguished itself by launching Viz COVID-19 in April of 2020. This software handles COVID-19 patient triage, improving patient management and allowing for a safer hospital workplace. Also, Viz.ai won the UCSF 2020 Digital Health Award for Best New Application of AI.

These were the top 10 AI startups which will flourish ver soon in the coming days.

Master Deep Learning, Machine Learning, and other programming languages with Artificial Intelligence Engineer Master’s Program

Are You Interested in a Career in Artificial Intelligence?

In this write-up of top AI startups, we learned that the Artificial Intelligence industry is looking for new blood. Could that be you? If you’re interested in pursuing an AI career, Simplilearn can help you make your dreams come true. The Artificial Intelligence Engineer master’s program, held in collaboration with IBM, ensures career success.

The program features exclusive IBM hackathons, masterclasses, and “ask me anything sessions.” Simplilearn’s AI certification training helps you master key concepts like Data Science with Python, machine learning, NLP, deep learning, and more. You will become AI job-ready with live sessions, practical labs, and projects.

According to Glassdoor.com, Artificial Intelligence engineers in the United States make a yearly average of USD 117,044. Payscale.com reports that AI engineers in India earn an annual average of ₹1,551,046.

So join the Artificial Intelligence revolution, and let Simplilearn give you all the skills you will need to become a part of this exciting industry, whether in a top AI startup or in a larger enterprise!

Hope you liked the article top AI projects, in case of any doubts, kindly leave a comment.