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!
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
