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Machine Learning
Pitch Decks
July 24, 2021

24 Pitch Decks from Established Machine Learning Startups

Here's a collection of pitch decks from successful Machine Learning startups. Learn from the best and build a top pitch deck for your business!

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Machine learning startups use a lot of terminologies that those outside the field don’t really understand.

If you want to build a successful machine learning startup, it helps to look at what other startups have done right.

That’s why we’ve taken the time to pull together some of the most in-depth pitch decks from existing ML startups.

‍

24 Pitch Decks from Machine Learning Startups

Mattermark

Mattermark helps venture capital firms accurately quantify promising signals from potentially lucrative start-ups.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2014

  • Round:

    Series A

  • Amount raised:

    $6.5M

  • Investor:

    Corporate, VC

You can find more details about this startup here.

Gestoos

Gestoos develops AI software that enables machines to recognize human behavior faster than ever before.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2017

  • Round:

    Series A

  • Amount raised:

    €2.5M

  • Investor:

    VC, Corporate

You can find more details about this startup here.

Cloudera

Cloudera is a data management software for enterprise companies.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2008

  • Round:

    Series A

  • Amount raised:

    $5M

  • Investor:

    VC, Corporate

You can find more details about this startup here.

VisionX

VisionX is a software firm dedicated to creating innovative machine vision software.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2016

  • Round:

    Seed

  • Amount raised:

    $125K

  • Investor:

    No Data

You can find more details about this startup here.

Atexto

Atexto is a platform that allows enterprises to visualize, label, and collect speech data to improve their speech recognition models’ accuracy.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2C

Details of the pitch deck:

  • Year:

    2019

  • Round:

    Seed

  • Amount raised:

    $713K

  • Investor:

    VC, Accelerator

You can find more details about this startup here.

LucidAct Health

LucidAct Health is a fast and accurate solution for care teams to manage patients that are most at risk through easy to use, intelligent workflows.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2019

  • Round:

    Seed

  • Amount raised:

    $150K

  • Investor:

    VC

You can find more details about this startup here.

Ovation

Ovation live chat helps physical businesses collect customer data in real-time, answer questions on the fly, retain happy customers and win back unhappy ones.

Details of the startup:

  • Business model:

    App

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2019

  • Round:

    Seed

  • Amount raised:

    $1M

  • Investor:

    VC

You can find more details about this startup here.

Kono

Kono is an enterprise-grade AI solution that helps companies plan meetings and events.

Details of the startup:

  • Business model:

    SaaS, Subscription

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2014

  • Round:

    Seed

  • Amount raised:

    $100K

  • Investor:

    No Data

You can find more details about this startup here.

Apteo

Apteo helps retailers and brands sell more through intelligent personalization.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2019

  • Round:

    Pre-Seed

  • Amount raised:

    $1M

  • Investor:

    VC

You can find more details about this startup here.

Bytez

Bytez is a web application developed to help software developers and data scientists work smarter and faster

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2019

  • Round:

    Pre-Seed

  • Amount raised:

    $150K

  • Investor:

    VC

You can find more details about this startup here.

Urban Logiq

UrbanLogiq makes it easier for cities to tackle their most pressing challenges with data-driven insights.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2G

Details of the pitch deck:

  • Year:

    2017

  • Round:

    Pre-Seed

  • Amount raised:

    $150K

  • Investor:

    No Data

You can find more details about this startup here.

GlamST

GlamST uses AR technology to help beauty brands attract and retain their customers.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B2C

Details of the pitch deck:

  • Year:

    2016

  • Round:

    Series A

  • Amount raised:

    Undisclosed

  • Investor:

    No Data

You can find more details about this startup here.

Zyudly labs

Zyudly Labs uses artificial intelligence to provide deep learning powered solutions for better cybersecurity.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B, B2G

Details of the pitch deck:

  • Year:

    2017

  • Round:

    Seed

  • Amount raised:

    Undisclosed

  • Investor:

    No Data

You can find more details about this startup here.

Mycroft

Mycroft offers a suite of open source technologies to build platforms for voice-powered applications.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2016

  • Round:

    Crowdfunding

  • Amount raised:

    $350K

  • Investor:

    VC, Corporate

You can find more details about this startup here.

Faception

Faception is a company that provides accurate facial profiling to reveal individuals’ personality traits.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2016

  • Round:

    Series A

  • Amount raised:

    $500K

  • Investor:

    VC

You can find more details about this startup here.

Yalochat

Yalochat is a cloud-based customer relationship management platform that uses artificial intelligence to improve customer service.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2018

  • Round:

    Seed

  • Amount raised:

    $8M

  • Investor:

    VC

You can find more details about this startup here.

Verbit

Verbit is a transcription and captioning platform that uses smart AI and algorithms to turn video into real-time, on-demand captions.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2C, B2B

Details of the pitch deck:

  • Year:

    2019

  • Round:

    Series A

  • Amount raised:

    $23M

  • Investor:

    VC

You can find more details about this startup here.

Visionful

Visionful allows cities to benefit from intelligent parking and mobility, reducing traffic and making roadways safer.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B2C

Details of the pitch deck:

  • Year:

    2019

  • Round:

    Pre-Seed

  • Amount raised:

    $150K

  • Investor:

    VC

You can find more details about this startup here.

DataTron

Datatron is a model governance platform designed to help you implement, maintain, track changes in, and monitor the progress of ML, AI, and Data Science models in production.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2020

  • Round:

    Seed

  • Amount raised:

    $1.4M

  • Investor:

    No Data

You can find more details about this startup here.

Bellwethr

Bellwethr provides businesses with no-code tools to build decision intelligence capabilities.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2019

  • Round:

    Seed

  • Amount raised:

    $2.5M

  • Investor:

    VC, Accelerator

You can find more details about this startup here.

PredictoinIO

PredictionIO is a machine learning server built by the community and for the community. It enables businesses to scale their Artificial Intelligence projects with ease.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2C

Details of the pitch deck:

  • Year:

    2013

  • Round:

    Seed

  • Amount raised:

    $150K

  • Investor:

    VC

You can find more details about this startup here.

Alyce

Alyce empowers brands to deliver personalized gifts to their customers and partners.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2017

  • Round:

    Seed

  • Amount raised:

    $5.3M

  • Investor:

    VC

You can find more details about this startup here.

GridCure

GridCure is a data-driven startup that simplifies energy efficiency programs for the global electrical power utility industry.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2014

  • Round:

    Seed

  • Amount raised:

    $95K

  • Investor:

    No Data

You can find more details about this startup here.

VCV

VCV is a recruiting robot that connects job seekers with top companies.

Details of the startup:

  • Business model:

    SaaS

  • Customer:

    B2B

Details of the pitch deck:

  • Year:

    2017

  • Round:

    Pre-Seed

  • Amount raised:

    $150K

  • Investor:

    Angel Investors

You can find more details about this startup here.

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Machine Learning

Machine Learning

Industry:
Business Model:
Customer:
Round:
Amount Raised:
Investor:
Year:
Links:
Website
,
Crunchbase
,
AngelList
,
Twitter

Machine learning startups use a lot of terminologies that those outside the field don’t really understand.

If you want to build a successful machine learning startup, it helps to look at what other startups have done right.

That’s why we’ve taken the time to pull together some of the most in-depth pitch decks from existing ML startups.

‍

24 Pitch Decks from Machine Learning Startups

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