Machine Learning

Top 11 Most Interesting Machine Learning Applications

February 23, 2024
6 minutes

The rise of AI and machine learning (ML) has led to an explosion of new companies. ML is being applied to a huge number of problems in many different industries. These include healthcare, enterprise software, cybersecurity, consumer products, and much more. Let’s take a look at some of the most promising machine learning startups today.

1. swivl

It may come as no surprise that we rank ourselves at #1. swivl is a machine learning startup that provides the power of AI to businesses of all sizes. swivl offers an AI-powered chat platform and a data labeling platform.

Their data tagging software provides an intuitive user interface. As a result, employees are able to dynamically update the model. This human-in-the-loop strategy creates more accurate models.

These tools can be used to greatly reduce the time needed to manage customer service, without sacrificing customer satisfaction. swivlStudio combines these tools in an easy to use platform. swivl provides interactive chat, accurate support recommendations, and insight into customer needs.

2. C3 IOT

C3 is an AI company that uses AI to solve large-scale business problems. They offer a range of services from detecting fraud to managing sensor networks and optimizing inventory. They have an impressive list of customers, including 3M, Shell, the US Air Force, and more.

3. Cloudminds

Cloudminds is a cloud-based tool for managing intelligent robots. This system integrates many different robotic devices through a unified network. It combines AI techniques such as computer vision, natural language processing, and more. In addition, they’ve created a humanoid service robot called XR-1.

4. DataMinr

DataMinr provides a real-time information discovery tool that analyzes publicly available data. They offer services to news organizations, corporate security, finance, and more. Through their tool, they are able to simplify the process of extracting meaning from the massive amounts of information available today.

5. Eightfold

Eightfold is a “talent intelligence system” created by a pair of former Google and Facebook executives. It aims to use artificial intelligence and analytics to streamline the hiring process. By focusing only on data and performance, the founders believe their ML tool will take the bias out of hiring.

6. Freenome

Freenome is an AI genomics company using AI for the early detection of cancer and other diseases. This machine learning startup hopes to use a combination of biomarkers including DNA, proteins, and other elements of blood plasma. By feeding all of this information into an ML model, they hope to improve the early detection of deadly diseases.

7. HyperScience

HyperScience aims to streamline the data entry workflow. They have created a number of applications capable of converting handwritten forms into digital records. As a result, companies will spend less time entering and managing data.

8. LogiNext

LogiNext is a company that offers AI-driven logistics solutions for field services. These include things like delivery vehicles and field technicians. By tracking and organizing these complex datasets, LogiNext can apply ML to manage and optimize complex logistics problems autonomously.

9. Quid

Quid is an AI platform aimed at various businesses. Their products aim to combine many data sources to find relevant insights about clients’ industries.


RAVIN uses AI to automate vehicle inspection. This is an important and difficult task for any company with a fleet of vehicles. In addition to car rental companies, governments, large companies, and others manage vehicle fleets that require inspection.

11. SoundHound

SoundHound began as a music identification platform but has transformed into a general voice assistant. Their Houndify product allows companies to integrate voice controls and AI into their products.

12. Taranis

Using high-res satellite imagery and computer vision, Taranis aims to improve agriculture. They do this by monitoring nutrient deficiency, pests, and disease based on aerial images. This allows for large agricultural operations to be efficiently monitored.

13. Tempus

Tempus uses AI to power personalized medicine. By using AI to integrate genomic and proteomic data, they are able to diagnose and recommend treatment plans.

14. Travis

Travis aims to be a real-world version of Douglas Adam’s babel fish. It translates 100+ languages live from speech. This relies on the ML techniques of speech recognition and machine translation. This machine learning startup allows users to communicate with people while traveling or helps users learn a new language.

15. Zoox

Zoox develops diverse technologies for self-driving cars. They are focused on developing self-driving cars from the ground up. Instead of prioritizing car ownership, they are putting the spotlight on ridesharing.

16. Ablacon

Ablacon aims to understand and treat atrial fibrillations (AFib). They use AI to visualize and map the real-time movement of blood in the heart (electrographic flow). These maps help guide the ablation therapy used in the treatment of AFib.

17. Cinnamon

Cinnamon is an AI company aiming to decrease daily, repetitive tasks. They have created a number of products including a document scanner and recommendation engine.

18. CrowdStrike

CrowdStrike is bringing AI to computer security. They use machine learning to find anomalies that may represent a threat. CrowdStrike received attention when they were hired by the Democratic National Convention to investigate election hacking.

19. Dataiku

Dataiku is a platform that provides self-serve analytics and tools to streamline data science. They help users process raw data throughout the data pipeline. This is done with a cloud platform that integrates many popular data science tools.

20. Hunters.AI

Hunters technology uses AI to detect cyber-threats at an early stage. AI examines many data sources, watching for anomalies. This can then reveal hidden attacks, breaches, and probes.

21. OpenAI

OpenAI is an AI research company founded by Elon Musk, Sam Altman, and other leaders in the AI space. Their aim is to improve AI for the benefit of humanity. So far they have created a creepily impressive text generator that they initially withheld for fear it might be too good.

22. Pony.AI

Pony.AI is a Chinese autonomous car company. They are already testing out an autonomous taxi service in China. They recently partnered with Toyota and received approval to begin testing their self-driving taxis in California.

23. SenseTime

SenseTime is still a young company, founded only 4 years ago. However, it is already one of the largest AI companies in the world. They are quickly making a name for themselves.

Offering computer vision, text recognition, and much more, SenseTime is competing with other general-purpose AI platforms. Their close relationship with the Chinese government gives them access to the huge amounts of data available pulled from China’s large population. Consequently, this provides an edge over European and American competitors.

24. DataRobot

DataRobot aims to simplify the process of training and deploying ML models. Based in Boston, this machine learning startup aims to simplify business analytics. They provide tools to streamline the process from data ingest through building models.

25. H2O.AI

H2O is an AI platform that aims to simplify the development and deployment of ML and AI. It does this by creating an interface to interact with many popular AI tools. They offer a number of open-source products as well as enterprise tools.

Hopefully, this rather exhaustive list of machine learning startups helps you better understand how artificial intelligence and machine learning are influencing the world of startups.

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