Quanta AI Inc. · TSXV:QNTA
Quanta AI — Datametrex AI — Investor Presentation (October 2019)
27 slides from Quanta AI's investor presentation, October 2019
Slide 1: Investor Presentation
191009 INVESTOR PRESENTATION October 2019 TSXV: DM, FSE: D4G, OTC: DTMXF
Slide 2: Disclaimer
Disclaimer This presentation is being made available in the United States on a confidential basis only to persons reasonably believed to be “accredited investors” within the meaning of Rule 501(a) of Regulation D under the Securities Act (“Accredited Investors”) and specifically authorized to view t
Slide 3: About Us
About Us DATAMETREX AI LIMITED Datametrex AI Limited is a technology focused holding company with exposure to; Artificial Intelligence, Big Data & Private Blockchain • Nexalogy – Wholly-Owned Subsidiary - Artificial Intelligence, Machine Learning and Natural Language Processing solutions. • Datametr
Slide 4: About NexaIntelligence
About NexaIntelligence Raw unstructured data is often unusable and unreliable. Our technology makes it more useful and relevant. Using AI to cleanse and analyze data can help the cannabis industry from seed to sale. Using AI to analyze trends , vital social data in the recreational and medicinal sec
Slide 5: About Nexalogy
About Nexalogy • Artificial intelligence through Machine-learning(ML) and Natural Language processing (NLP) for automatic generation of entity extraction and extractive summarization. • Narrative identification and shaping on social media for strategic communication objectives. • Identify word and n
Slide 6: Bot Detection and Fake News Filter
Bot Detection and Fake News Filter Evaluate the effects and persuasiveness of influencers on social media in terms of resonance; detection of fake news and BOT campaigns. Improvements on industry standards for detecting fake accounts on social media known as BOTS that propagate messages attempting t
Slide 7: Lexical Map
Lexical Map • Co-word analysis to provide a visual graph of the top concepts in the dataset. • Automatic reading that identifies with coloured clusters the sub-themes to understand big data buzz in a short time. TSXV: DM, FSE: D4G, OTC: DTMXF 7
Slide 8: Timeline
Timeline • Know when the buzz peaks! • The Timeline shows the volume of conversation over time. • The analysis reveals peaks and trends in data so you know how much people are talking. TSXV: DM, FSE: D4G, OTC: DTMXF 8
Slide 9: Topics Map
Topics Map • Know the topics and compare theme over time or across groups! • The Topic Map measures 32 topics of human behavior in your data. • It allows for comparisons of before and after, or one discussion and another. TSXV: DM, FSE: D4G, OTC: DTMXF 9
Slide 10: Alerts
Alerts • Never miss a rising topic or brand again! • Email alerts enable you to create boolean alerts that are sent to the email address(es) of your choice. • They let you know when new information you are interested in appears in your project. TSXV: DM, FSE: D4G, OTC: DTMXF 10
Slide 11: Actors by Query
Actors by Query • See which subjects are overlapping and which are independent! • The Actors by Query Map is used to identify actors that comment on different topics. • It makes SEO and topic optimization much easier. TSXV: DM, FSE: D4G, OTC: DTMXF 11
Slide 12: Heat Map
Heat Map • Know where tweeters are! • The heat map shows the location of all tweets in the dataset that have a latitude and longitude. • The more tweets in a location, the “hotter” the spot on the map. TSXV: DM, FSE: D4G, OTC: DTMXF 12
Slide 13: Time Series Analysis
Time Series Analysis • Know what is trending, and when! • The TSA shows the trends for posts in your data. • It allows the detection of trends and cycles in the data, by subject, compared to a baseline of your choosing. TSXV: DM, FSE: D4G, OTC: DTMXF 13
Slide 14: What customers think + want
What customers think + want Voice of the Customer TSXV: DM, FSE: D4G, OTC: DTMXF
Slide 15: AI-driven human-like feedback classification
The Solution AI-driven human-like feedback classification Competition Semeon Food Customer This flight left a bad taste in my mouth. (taste, mouth) Satisfaction They hit the nail on the head with this new Maintenance Customer service. (hit, head, nail) Satisfaction This service costs an arm and a le
Slide 16: The Solution
The Solution Mission Critical Component - Quantify VOC across all channels to extract business metrics on complaints & improvements TSXV: DM, FSE: D4G, OTC: DTMXF
Slide 17: The Value Proposition
The Value Proposition Industry-Specific Business Outcomes Reduce customer complaints escalation & churn Increase complaint transparency for new legislation Compliance Improve loyalty & customer Life Time Value TSXV: DM, FSE: D4G, OTC: DTMXF
Slide 18: The VOC Platform
The VOC Platform Flows, KPI'S, Metrics>> Industry-Specific Business Outcomes Customer Experience (CX) Journey • Cleanilness • Timeliness of Departure • Food & Drink • Entertainment ·Staff BOOKING PROCESS AIRPORT ARRIVAL BOARDING PROCESS IN-FLIGHT BAGGAGE RETRIEVAL Customer Satisfaction Price Product
Slide 19: The Market
The Market Semeon is the NEXT S-Curve in Text Analytics From Frequency to Context Unstructured Data is the largest human- generated data source. It is growing 2x faster each year than Structured Data. Software Text Analytics - North America TAM: $2.4B (Total Addressable Market) 20% CAGR through 2024
Slide 20: The Technology
The Technology Semeon benchmarks the world's best AI algos and leverages it to increase precision & speed to resolve industries' most complex problems. Sti'lndllrd e""ort / . ( '1 !;ill Power Bl Atvredta e M l<l'lloollll r:.or.! tor<l!!e!GetI& 21 JJMkrosoft Dynamics- Mlt..o....,_,,,f! l .a._w.s., AI
Slide 21: Our Clients
Our Clients Brands that trust our platform to give value to their data Brands Marketing & Market Research Agencies BFSI TSXV: DM, FSE: D4G, OTC: DTMXF
Slide 22: The Team
The Team 120 human-years of machine learning and AI expertise. David Lavoie Alkis Papadopoullos John Scandar PRESIDENT CTO CHAIRMAN 25 years experience in 25 years experience and 25 years experience in Marketing & Technology multiple patents in AI & Machine Enterprise Application Software Entreprene
Slide 23: Datametrex Management
Datametrex Management Marshall Gunter Chief Executive Officer Mr. Gunter’s engineering background is rooted in big data analysis and machine learning at scale. Working with Sequoia Capital and Lightspeed Venture Partners, Marshall was responsible for bringing Varagesale to the mass market. Marshall
Slide 24: Datametrex Management
Datametrex Management Steve Kang Chief Financial Officer Steve Kang is a seasoned finance and accounting professional. He has acquired a wealth of finance expertise and experience over 25 years from working at Honeywell, LG Electronics and various accounting firms and public companies in Canada. He
Slide 25: Datametrex Board
Datametrex Board Andrew Ryu Board of Director Andrew Ryu is a seasoned and experienced entrepreneur and operator in public and private companies. Graduate of McMaster University (1999) and University of Toronto (2000). Founder and CEO of TLA Inc. (1997 2005), President of business development of Arc
Slide 26: Capitalization Table
Capitalization Table (September, 2019) • Business Location Toronto, Montreal • Shares Outstanding 226,081,561 • Options Outstanding 10,175,758 • Fully Diluted 236,257,319 • Fiscal year-end December 31 TSXV: DM, FSE: D4G, OTC: DTMXF 26
Slide 27: Thank You
THANK YOU CONTACT Jeff Stevens COO & President jstevens@datametrex.com 647-400-8494 TSXV: DM, FSE: D4G, OTC: DTMXF