Are you a startup founder interested in learning more about machine learning? Machine learning (ML) is quickly becoming one of the fastest growing areas in tech, and there are countless opportunities to capitalize on its potential. If you want to stay ahead of the digital transformation curve, understanding what machine learning is and how it can be utilized by startups is essential. In this blog post, we’ll breakdown what exactly machine learning is, why it’s such an important tool for entrepreneurs today, provide examples of successful applications of machine learning, and explore some pitch decks from top machine-learning startups to watch to get inspired!
What is Machine Learning and Why is it Important?
Machine learning is a branch of artificial intelligence that uses algorithms to analyze and learn from data. Its importance lies in its ability to identify patterns and make predictions based on past experiences, which can inform decision-making and improve efficiency in various industries.
For example, in the healthcare sector, machine learning could be used to predict which patients are most at risk for certain illnesses or to improve personalized treatment plans. In the financial industry, it could help detect fraudulent activity or inform investment decisions. As data becomes more abundant, the applications for machine learning will only continue to expand, making it a crucial tool for businesses and researchers alike.
Conversational Artificial Intelligence and Natural Language Processing
In the realm of machine learning, Conversational Artificial Intelligence (CAI) and Natural Language Processing (NLP) are two popular technologies that are becoming increasingly important. CAI enables machines to understand human language and interact with users in a conversational way. This technology is being used for customer service applications as well as providing personalized recommendations for online shoppers.
Natural language processing (NLP) is a type of machine learning that focuses on understanding and interpreting human languages. NLP can be used for tasks such as automatic translation, content moderation, sentiment analysis, and text summarization. For example, Google’s Translate app utilizes NLP to quickly and accurately translate spoken words from one language to another. This technology has been used to improve customer service, automate data analysis, and develop more accurate search results.
The Role of Data Scientists (And Why You May Need One)
Whether you are running a major AI company, a machine learning startup, or a smaller project in a larger organization, data scientists play a key role in machine learning projects, as they are responsible for building the algorithms and models that power the technology. Data scientists must not only understand the latest machine learning techniques, but also understand how to apply them to real-world problems. This requires an intimate knowledge of data science principles for analyzing data such as statistics, linear algebra, training data, and programming.
Data scientists also need to be able to work with both structured and unstructured data, as well as develop software that can interact with machine learning models. As the demand for AI capabilities, data and machine learning continues to grow, so does the need for experienced data scientists.
What About Deep Learning? Why Is Deep Learning Important?
It’s important to note the differences between machine learning and deep learning. While both are types of artificial intelligence, deep learning is a subset of machine learning that uses algorithms to learn from larger, more complex datasets. Deep learning has been particularly successful at tackling difficult tasks such as facial recognition, autonomous driving, and text-to-speech recognition. However, traditional machine learning is still used for simpler tasks such as labeling images or predicting customer behavior.
Examples of Machine Learning
Machine learning is a rapidly growing field that has already had a profound impact on our lives in ways we may not even realize. From voice assistants such as Siri and Alexa to personalized recommendations on streaming services to fraud detection, machine learning algorithms are constantly at work. But these technologies go far beyond entertainment and convenience. For instance, medical researchers are using machine learning to identify patterns in patient data that could lead to earlier diagnoses of diseases such as cancer. The possibilities are endless, and as these algorithms continue to improve and evolve, we can expect to see even more exciting applications of machine learning in the future.
Continental Tires
Continental Tires has been leveraging machine learning technologies to improve the performance, durability, and lifespan of its tires. This includes using algorithms to track a variety of parameters such as tire pressure, temperature, and wear rate. By collecting data from millions of vehicles in real time and using it to identify patterns and trends, Continental is able to provide customers with better, longer-lasting tires. In addition, machine learning is being used to develop advanced driving systems such as Autonomous Emergency Steering (AES) and Active Braking System (ABS), which can help keep drivers safe on the roads. to fraud
Insights from Pitch Decks of Top Machine Learning Startups
Machine learning startups have taken the world by storm in recent years, and those at the forefront of data science are setting the bar high. Aspiring entrepreneurs looking to enter the market can gain valuable insights by studying the pitch decks of these venture-backed machine learning tech companies. By examining the language, structure, and content of these presentations, a deep understanding can be gained about the business models, target markets, and strategies that fuel the growth of these organizations. From personalized recommendations to self-driving cars, the applications of machine learning are vast, and the potential for success is limitless for those who can effectively communicate their vision to investors and stakeholders.
1) Gestoos
Startup Details:
Industry: SaaS, Software, AI, IoT, Machine Learning, Retail, Robotics
Customer Model: B2B
Pitch Deck Details:
Amount Raised: €2.5M
Funding Year: 2017
Company Website: Gestoos
AngelList: AngelList
This slide deck is from Gestoos, a technology company specializing in artificial intelligence (AI) and gesture recognition. Using both ML and deep learning, Gestoos develops sophisticated software solutions to identify and interpret human behavior and gestures in real-time, enabling users to interact more naturally with their environment.
With its cutting-edge technology, Gestoos offers a variety of innovative applications for businesses, developers and end-users, such as gesture-based navigation and motion control. The company’s mission is to bridge the gap between people and machines by creating machine intelligence interfaces that enable us to interact with our environment in a more natural way.
2). LucidAct Pitch Deck
Startup Details:
Business Model: SaaS
Industry: Healthcare, Big Data, AI, Machine Learning, Analytics
Customer Model: B2B
Pitch Deck Details:
Amount Raised: $150K
Deck Funding Year: 2019
Round: Seed
Company Link: LucidAct Health
AngelList: AngelList
LucidAct Health is a healthcare technology company that provides cutting-edge, personalized care for patients through its innovative digital AI-powered platform. The company’s platform leverages advanced technologies such as artificial intelligence and machine learning to enable real-time patient data collection and analysis, giving physicians greater insight into their patients’ health. LucidAct Health also offers a range of services that help healthcare providers improve clinical workflow efficiency, reduce costs, and provide better patient outcomes.
3) Mattermark
Startup Details:
Industry: SaaS
Business Model: B2B
Pitch Deck Details:
Amount Raised: $6.5M
Funding Year: 2014
Company Website: Mattermark
AngelList: AngelList
Mattermark is an data AI platform for venture capital firms that leverages machine learning, web crawlers, primary sources, and natural language processing to extract data from millions of news articles and websites daily, allowing users to save time while taking in more data than ever before.. For a business which was admittedly targeted at a very specific ideal customer, their slides still did a good job of addressing market growth and how they planned to generate revenue.
After raising $17.2M over five rounds of funding, San Francisco-based Mattermark was acquired by FullContact in 2017. In 2019, Mattermark relaunched as an independent company.
4) Urban Logiq Pitch Deck
Startup Details:
Business Model: SaaS
Industry: Govtech, Analytics, Machine Learning, Software
Customer Model: B2G
Pitch Deck Details:
Amount Raised: $150K
Funding Year: 2017
Funding Round: Pre-Seed
Company Website: Urban Logiq
AngelList: AngelList
Urban Logiq is a data intelligence company that provides powerful analytics solutions to help businesses gain insights from their data. Their platform combines AI, machine learning, and cloud-based technology to deliver actionable insights that enable businesses to make better decisions. They focus on helping companies drive efficiency and improve customer experience by unlocking the value of their data.
5) VisionFul
Startup Details:
Industry: SaaS, Transportation, IoT, AI, Machine Learning, Software, Hardware, IT, Robotics
Customer Model: B2B2C
Pitch Deck Details:
Amount Raised: $150K
Funding Year: 2019
Funding Round: Pre-Seed
Company Website: Visionful
AngelList: AngelList
Visionful is a leading provider of software solutions that help companies create, manage, and track their corporate vision. Their tools enable teams to define and communicate their mission and goals, visualize how each team member fits into the picture, measure progress towards their objectives, and develop plans for success. By providing insight into company performance across departments, Visionful helps organizations make informed decisions that drive successful business outcomes.
6) Alyce Pitch Deck
Startup Details:
Business Model: SaaS
Industry: AI, Machine Learning, Advertising, Marketing
Customer Model: B2B
Pitch Deck Details:
Amount Raised: $5.3M
Funding Year: 2017
Funding Round: Seed
Company Website: Alyce
AngelList: AngelList
Alyce enables businesses to measure and optimize their incentives in real time. Its machine learning platform uses artificial intelligence and machine learning algorithms to analyze customer data and develop personalized incentive strategies that drive higher engagement. By connecting user behavior with tangible rewards, Alyce helps companies better understand the needs of their customers, increase loyalty, and build long-term relationships. It’s a powerful next generation AI platform that helps businesses maximize the value of their incentives. Alyce has raised $5.3 million in seed funding to date.
7) Cloudera
Startup Details:
Industry: SaaS, Machine Learning, Big Data, AI, Cloud, Analytics
Business Model: B2B
Pitch Deck Details:
Amount Raised: $5M
Funding Year: 2008
Company Website: Cloudera
AngelList: AngelList
Cloudera is a B2B software company which provides a structured, flexible, and scalable AI-powered platform, enabling sophisticated analysis of big data using Apache Hadoop, in any environment. Their pitch deck is an excellent example of a slide deck explains a highly technical SaaS business solution in a clear and concise manner. Clouder’s slide deck is especially impressive because in 2008 when this presentation was given, many elements of its technology were not yet commonly discussed, so they could not expect investors to have the background to understand the technical detail. As a result, each element of this deck’s content, down to the bullet points is carefully thought through.
8) Bellwethr Pitch Deck
Startup Details:
Business Model: SaaS
Industry: AI, Machine Learning, Marketing, Analytics
Customer Model: B2B
Pitch Deck Details:
Amount Raised: $2.5M
Funding Year: 2019
Funding Round: Seed
Company Website: Bellwethr
AngelList: AngelList
Bellwethr uses natural language processing and AI to give companies real-time feedback on customer sentiment, helping them better understand their target audience and create more effective campaigns. Bellwethr provides predictive insights into customer behavior, enabling companies to make data-driven decisions that drive better business outcomes with potential customers. By leveraging machine learning technologies, Bellwethr helps businesses optimize their marketing efforts and maximize ROI. It has raised $2.5 million in seed funding to date.
9) Ovation Pitch Deck
Startup Details:
Business Model: App
Industry: Marketing, Advertising, Machine Learning, IoT, Retail
Customer Model: B2B
Pitch Deck Details:
Amount Raised: $1M
Funding Year: 2019
Funding Round: Seed
Company Website: Ovation
AngelList: AngelList
Ovation’s app helps retailers, marketers and advertisers to build personalized shopping experiences for their customers. Through its machine learning platform, Ovation provides powerful predictive analytics and insights into customer behavior, enabling businesses to create targeted campaigns that drive sales and increase loyalty. With its combination of cutting edge technology and deep expertise and understanding of customer behavior, Ovation raised $1 million with this presentation.
Ovation’s pitch deck is a great example of how to explain complex technology in an easy to understand and engaging way. They use visuals and graphics to illustrate their business model and show the value they can bring to customers, while also explaining the technical details behind their product offering. The presentation is concise and well-structured, outlining key facts and figures to back up the company’s value proposition. This is an excellent example of a pitch deck that gets straight to the point in a clear and engaging way.
10) Zyudly Labs Pitch Deck
Startup Details:
Business Model: SaaS
Industry: Software, Analytics, Big Data, Machine Learning, Security, Cloud
Customer Model: B2B, B2G
Pitch Deck Details:
Amount Raised: Undisclosed
Funding Year: 2017
Funding Round: Seed
Company Website: Zyudly labs
AngelList: AngelList
Zyudly Labs is a cloud-based AI platform that enables organizations to manage and analyze their data quickly and securely. The platform uses the latest technologies such as artificial intelligence, deep learning, natural language processing, advanced analytics and security algorithms to provide customers with powerful insights into their historical data. Zyudly Labs’ pitch deck explains complex technical concepts in a way that investors can understand them, with its carefully crafted visuals, graphics and bullet points. Moreover, it also outlines the company’s accomplishments so far and its future plans. As a result of this comprehensive presentation, Zyudly Labs was able to successfully raise an undisclosed amount in seed funding.
11). Cyclica Pitch Deck
Startup Details:
Business Model: SaaS
Industry: Biotechnology, Healthcare, AI, Machine Learning
Customer Model: B2B, B2G
Pitch Deck Details:
Amount Raised: $17M
Deck Funding Year: 2020
Round: Series B
Company Link: Cyclica
AngelList: AngelList
Cyclica is a biotechnology company that specializes in the development of precision medicines and digital health solutions. They use advanced artificial intelligence and machine learning algorithms to analyze large volumes of data to provide personalized insights on drug safety and efficacy. Their solutions are creating new pathways for drug discovery and patient care, aiming to improve the quality of life for people around the world.
12). Mashvisor Pitch Deck
Big Data Startup Details:
Business Model: SaaS
Industry: Real Estate, Proptech, Analytics, Big Data, Accounting
Customer Model: B2C
Big Data Pitch Deck Details:
Amount Raised: $200K
Deck Funding Year: 2016
Round: Seed
Company Link: Mashvisor
AngelList: AngelList
Mashvisor is a real estate data analytics platform that provides users with data-driven insights to help them make more informed real estate investment decisions. By leveraging predictive data analysis and machine learning, Mashvisor helps real estate investors compare different locations and identify the best investment opportunities in the US real estate property market. It also offers real estate investing resources such as detailed property market analysis tools, including real estate market analysis, rental income estimates, cash flow projections, and market trends.
13) Mero Technologies
Startup Details:
Industry: SaaS, Software, Analytics, IoT, CleanTech, Energy, Robotics
Customer Model: B2C
Pitch Deck Details:
Amount Raised: $800K
Funding Year: 2020
Funding Round: Pre-Seed
Company Website: Mero Technologies
AngelList: AngelList
Mero Technologies is a commercial cleaning company developing autonomous mobile robots designed to improve the efficiency and effectiveness of industrial, medical and hospitality cleanings. Mero’s industrial robots are outfitted with computer vision and an array of sensors, allowing them to independently navigate their environment without requiring direct control from their operators. They also come equipped with analytic tools and machine learning algorithms that can detect potential hazards in their environment and adjust the cleaning cycle accordingly. The company’s robots automate labor intensive and repetitive tasks which are common in cleaning, reducing the need to employ people for these physically demanding tasks.
14). VisionX Pitch Deck
Startup Details:
Business Model: SaaS
Industry: InsurTech, AI, Machine Learning, Augmented Reality, Software, IT
Customer Model: B2B
Pitch Deck Details:
Amount Raised: $125K
Deck Funding Year: 2016
Round: Seed
Company Link: VisionX
AngelList: AngelList
VisionX is a revolutionary on-demand insurance platform that facilitates the global distribution of insurance products to customers in an efficient and streamlined manner. It connects insurance companies, intermediaries and insurance agents by utilizing cutting-edge technology and data analytics which allows for instantaneous quoting and purchasing. This helps all parties involved reduce costs while providing enhanced customer service experiences.
(For more on startup fundraising read our articles: How to Raise Venture Capital Funding for Your Startup, Pre-Seed Funding: What it Is and How to Get It. How to Create a Startup Pitch).
For more on pitch decks, read our article on How to Create an A+ Venture Capital Pitch Deck.
Need More Pitch Deck Inspiration?
Check out our:
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and 19 Best Edtech Pitch Deck Examples.’
