Top 14 Artificial Intelligence Startups to watch out for in 2021

Reducing company costs, generating customer insights & intelligence, and improving customer experiences are the three most popular ML and AI use cases.

The global data science market was valued at around 3.93 billion in 2019. The market is expected to expand at a compound annual growth rate (CAGR) of 26% from 2020 to 2027. In today’s scenario, one out of 10 enterprises uses more than 10 AI applications ranging from a chatbot, Fraud detector, security, and more. Machine learning’s increased adoption across the industries has proved how it’s algorithms and techniques are efficiently solving complex real-world problems.

At the forefront of this situation, are multiple AI Startups that through their innovation and improving technology are solving problems at a pace never seen before. And there seem to be no breaks to these developments in the AI industry by these startups.

Here we are listing down some leading AI startups who are shaping the AI industry. Of course, the list is not exhaustive.

• A.I Reverie

Data is the fuel of the machine learning industry. Keeping this in mind, the company was founded in 2016. AI. reverie is a New York-based simulation platform that provides synthetic data designed to make AI and machine learning algorithms training affordable, fast, and productive.

The company provides synthetic data and vision APIs across industries like smart cities, defense, retail, Agriculture, and more. It was amongst the Top 25 Machine learning startups to watch in 2020 by Forbes. Also, it is named as Gartner cool vendor for 2020 in core AI technologies.

• Anodot

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

Anodot has more than100 customers in digital transformation industries, including e-commerce, FinTech, AdTech, Telco, Gaming, with tech giants like Microsoft, Lyft, Waze, and King.

It was also named in the Forbes’ Top 25 Machine Learning Startups to Watch in 2020.

• Dataiku

Dataiku is an AI and Machine learning startup founded in 2013 it’s headquartered in Paris, France. The company announced its Data science studio in 2014, which is a ‘predictive modeling’ software for business applications. The product is available in ‘free’ and ‘enterprise’ versions. The company’s goal is to bring data analysts, engineers, and scientists together to create self-service analytics while operationalizing machine learning.

Dataiku has big enterprises like Unilever, General Electric, and Comcast as its customers.

In 2019 Alphabet Inc. joined the company as an investor and also achieved unicorn status. Dataiku is named a Leader in the Gartner 2020 Magic Quadrant for Data Science and Machine-Learning Platforms.

• Eightfold.ai

Eightfold Ai was founded in 2016 by world experts in deep learning and is headquartered in Mountain View, California with the mission ” Right career for everyone in the world”. The company delivers a talent intelligence platform to enterprises that manage the whole talent lifecycle. The platform uses AI in the most effective way for organizations to retain top performers, upskill and reskill the workforce, recruit top talent efficiently, and reach diversity goals.

Eightfold.ai’s deep learning artificial intelligence platform empowers enterprises to turn talent management into a competitive advantage. In November 2020 the company announced it had raised $125 million in its latest series D funding round and the company valued at 1 Billion making it the latest entrant in the startup unicorn club.

Also named in the Forbes’ Top 25 Machine Learning Startups to Watch in 2020.

• Frame.ai

Frame AI a startup founded in 2016, is a developer of a collaborative messaging platform designed to improve business conversations. The platform is an early warning and continuous monitoring system that makes the customer voice an effective operational tool to inform data-driven CX priorities.

The company uses Natural language understanding and allows companies to listen to their customers at scale across the many channels available for customer communications and make them actionable immediately. CX teams use Frame AI to identify the “why” behind customer outcomes so that they can scale what works well, and limit the impact of what does not.

In it’s latest series A funding round company raised $ 6.3 M in April 2020.

• BigML

BigML is a leading machine learning company that makes ML easy, beautiful, and understandable for everybody. It helps thousands of businesses around the world make highly automated, data-driven decisions using (MLASS) machine learning as a service.

The company offers a wide variety of basic Machine Learning resources that can be composed together to solve complex Machine Learning tasks. Customers can access those resources using the BigML Dashboard, an intuitive web-based interface, or programmatically via its REST API. In addition to commercial activities, it is also playing an active role in promoting Machine Learning in education around the world through its education program

• Instreamatic

Instreamatic is an AI-powered Voice Dialogue Marketing platform designed to power interactive, dialogue-based advertisements on mobile platforms, the company uses natural language understanding (NLU) for training Voice AI algorithms. It allows media companies and advertisers to measure, manage, and monetize audio content by utilizing new interactive voice AI technology.

The company has raised $2.2M in funding over five rounds since it’s founded in 2015. Their latest funding was raised in April 2020, from a Seed round.

• Alation

Alation is a data catalog company aimed at making a data fluent world by changing the way people find, understand, and trust data. The first to bring a data catalog to market, Alation combines machine learning and human collaboration to bring confidence to data-driven decisions.

More than 100 organizations, including the City of San Diego, eBay, Munich Re, and Pfizer, leverage the Alation Data Catalog

• Viz.ai

Viz.ai was founded in 2016 s based in San Francisco, California, USA. It is a medical imaging company that specializes in applied artificial intelligence in healthcare. The company leverages advanced deep learning to communicate time-sensitive information about stroke patients straight to a specialist who can intervene and treat.

Viz.ai’s mission is to fundamentally improve how healthcare is delivered in the world, through intelligent software that promises to reduce time to treatment, improve access to care, and increase the speed of diffusion of medical innovation.

In April 2020, Viz.ai launched its Viz COVID-19, a COVID-19 patient triage software to improve patient management and allow for a safer hospital workplace during the pandemic. Viz.ai has won the prestigious UCSF Digital Health Award for Best New Application of A.I.

• Luminovo

Found in 2017, Luminovo is a deep learning company helping corporations develop tailored applications in the electronic industry. The company aimed at bringing innovations faster to everyone by reducing the time and resources needed to go from an idea to a market-ready electronic product. Luminovo is a SaaS provider for the electronics industry.

Luminovo has raised a total of $2.5M in funding in a Pre-Seed round raised in April 2020. It is also listed in Forbes list of Top 25 machine learning startups to watch in 2020.

• Rosetta.ai

Rosetta.ai was founded in 2016 with its headquarters in Asia-Pacific. It uses deep learning technology to help fashion e-commerce companies to understand consumers’ shopping behavior and preferences to help them to personalize on-site product recommendations. The company focuses on the fashion industry, and dives more into fashion, e.g. apparel, cosmetics, and accessory, and to build deep learning models and algorithms suitable for the use case.

Rosetta.ai has raised two rounds. Their latest funding was raised in March 2020, from a Convertible Note round.

• Mixmode

Mixmode is an AI-driven cybersecurity startup company. It is the first to bring a third-wave, context-aware AI approach that automatically learns and adapts to dynamically changing environments. The company is a developer of a predictive cybersecurity platform designed to reduce the number of alerts. Its platform delivers a continuous baseline of networks and allows users to focus on alerts that deserve their attention.

MixMode’s AI-Powered Network Traffic Analytics Platform provides deep network visibility and predictive threat detection capabilities. That enables the client’s security team to efficiently perform real-time and retrospective threat detection and visualization.

The company has been named an innovator in leading publications and by security analysts, including SC Magazine. Also, earning a finalist award in 2018 and 2019 for “Best Computer Forensic Solution.”. Till April 2020 the company has raised $ 17.3M over five rounds of funding.

• Model.op

ModelOp is a Chicago based provider of ModelOps software and services for major enterprises. It puts models in business with the industry’s leading enterprise-class ModelOps software solution. Also, it enables large enterprises to address the scale and governance challenges necessary to gain the most value from enterprise AI and Machine Learning investments.

The companies across the industry use ModelOp platform to integrate their models into operations. ModelOp is a Series A “venture-backed startup”, was founded in 2016 by industry veterans with deep expertise in data science and large-scale enterprise IT operations.

• OctoML

OctoMl is a startup founded by a team behind the Apache TVM machine learning compiler stack project. Their mission is to enable more developers to more easily and safely deploy ML models to more hardware. The core idea behind OctoML and TVM is to use machine learning to optimize machine learning models so they can more efficiently run on different types of hardware.

OctoML has raised a total of $18.9M in funding over 2 rounds with the latest series A round in April 2020.