Predict pipeline failures, save lives and protect the environment

Transcription

1 TSX-V: OSS OTC-QB: OSSIF December 6 th, 2017 Predict pipeline failures, save lives and protect the environment with the assistance of machine learning. Our team is comprised of specialized data scientists, computer engineers and industry experts with over 25 years of experience all working towards the common goal of making our communities safer

2 Disclaimer This presentation contains certain forward looking statements with respect to OneSoft Solutions Inc. and its OneBridge subsidiaries (the Company ), including, without limitation, guidance on future earnings of the Company. Forward-looking statements are included on the pages entitled Leverage SaaS Consumption Economics, Growth in Phases Roadmap and Reasons to Invest in OneSoft and speak only as at the date of this presentation. These forward-looking statements, by their nature, necessarily involve risks and uncertainties* that could cause actual results to differ materially from those contemplated by these forward-looking statements. We consider the assumptions on which these forward-looking statements are based to be reasonable, but caution the reader that these assumptions regarding future events, many of which are beyond our control, may ultimately prove to be incorrect since they are subject to risks and uncertainties that affect us. We disclaim any intention or obligation to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by securities regulation. *including those referenced on page 16 of the Management Discussion and Analysis for the year ended February 28, 2017 and in the Company s other public filings on the Canadian Securities Administrators website at ( SEDAR ).

3 Software Incubator Start-up incubator since 1997 Team consists of Software + Industry Five exits wholly owned subsidiary Predictive Analytics for Oil & Gas midstream pipeline Focusing on Data Science & Machine Learning TSX-V: OSS OTCQB: OSSIF Strong relationship with Microsoft Developing Cloud SaaS solutions operators Participating in Digital Transformation occurring within industry Assist pipeline operators to achieve zero pipeline failures (managed partner) 3

4 Microsoft Seattle Accelerator 2016, for Data Sciences & Machine Learning 721 Companies 50 countries OneBridge 1 of 11 Selected 16 week Intensive program Technology development Business development Intros to key customers Benefits Alumni Support Interest from key strategic investors OneBridge solution on Azure marketplace World wide collaboration with Microsoft for enterprise sales $600,000 Azure credits and internal use rights granted to OneBridge by Microsoft $1.8 B Raised by Alumni since inception

5 Company Overview 5

6 Current Industry Problem Over the last 20 years, every year, on average: Failure happens every 1.28 days 15.5 Fatalities 65 injuries $389mm clean up costs, $1.4mm per incident Major failures exceed >$1 billion in cleanup costs, plus fines Intensive regulatory compliance environment Calendar Year Number Fatalities Injuries Total Cost Current Year Dollars $110,377, $174,516, $178,313, $257,659, $79,086, $124,085, $163,481, $314,375, $1,477,030, $157,126, $147,823, $592,312, $180,372, $1,854,136, $447,070, $233,822, $355,223, $305,266, $338,311, $301,612,864 Grand Total 5, ,301 $7,792,005,653 Source: PHMSA

7 Cognitive Integrity Management Data Normalization Cognitive Learning Business Intelligence & 3D Visualization Standardizing and validating data accuracy Insights are associated with higher level of confidence than present day Ingestion algorithm normalizes inline inspection data into industry standard Alias Classification Model within minutes Learn and capture threats to the integrity of pipeline assets and share that knowledge algorithmically without sharing data Ingestion Alignment Pattern Detection Interacting Threats Assembly of data with actionable priorities through Power BI Embedded Drill down into details in real-time Visualize pipeline threats using 3D representation All insights are accessible through a web app

8 What makes our algorithms disruptive? Business Value Pattern Detection High value engineering possible through gaining visibility into entire pipeline and features Potential Disbondment Internal Corrosion Future Pattern Detection Dent w/corrosion Future Interacting Threats Future Business Value Interacting Threats Merge disparate technologies to visualize unknown threats Develop new engineering expertise Alignment Business Value Ingestion Extremely efficient data mining, requiring little time and resources Allows for statistically validated business intelligence (foundational) Business Value - Alignment Assess the state of the entire pipeline and determine largest risks Allows for an ROI analysis on dig program success 1,000s of unstructured data files Ingestion 8

9 With Data Science new efficiencies are unlocked It is now possible for Integrity Engineers to identify undiscovered threats: Relative to entire pipeline system Near High Consequence Areas (residential / school / community centers) Faster, Cheaper, Accurate

10 Business Opportunity 10

11 Go-To Market Industry Vertical Solution Areas Partnerships Tiered Strategy Current opportunities total mileage: 580,968 Oil & Gas Big Data & ML Direct Relationships Pipeline 162, ,968 miles 301, ,968 miles Transmission Microsoft Cloud (Industry reseller channel partners) 334, ,968 miles Infrastructure Machine Learning SQL Power BI Embedded (Microsoft international 349, ,968 miles partner network)

12 Shares, Market Cap & Financings: TSX-V: OSS / OTCQB: OSSIF Share Metrics & Market Cap Price (Dec 3/17) $ Week High/Low $0.32/$0.18 Shares I &O Warrants Options Fully Diluted Market Cap 83.7 M 16.6 M 6.1 M M $17 M $1 MM Financing March / 15 $1.25 MM Financing March / 16 Microsoft Accelerator $1.8 MM Financing March / 17 Cash (Aug 31/17) $0.95 M Debt $ Zero Insider ownership 40.6%

13 Leverage SaaS Consumption Economics Annualized Revenue $25,000,000 $20,000,000 $15,000,000 $10,000,000 $5,000,000 $0 Cash neutral when approximately 40,000 data miles are invoiced monthly 50, , , ,000 Data miles of Pipeline Contracted Revenue EBITDA Estimated metrics reflect number of data miles of pipeline contracted Assumptions: $60 USD invoiced per data mile per year + Azure costs 10% COGS 1:10 service consultant to customer ratio Expense / revenue assumptions are aligned 20% to 56% estimated EBITDA

14 Growth in Phases - Roadmap Cognitive Integrity Management Phase Immediate focus: North America potential with annual recurring revenue Russia, Middle East and other international markets next Leverage IP to water / sewer infrastructure Water and sewer industry is closely aligned and would require little modification to technology Leverage IP to rail infrastructure OneBridge algorithms and technology could be applied to the railway industry 14

15 Reasons to invest in OneSoft 1 Proven SaaS 2 Solution Solid Go-To 3 Market Strategy Management Team Brandon Taylor, CTO Data science algorithms validated by multiple customers Deep sales pipeline of Fortune 100 and 500 oil & gas companies Experienced management team with several exits in the past OneBridge Solutions Inc. btaylor@onebridgesolutions.com (720) Tim Edward, President OneBridge Solutions Inc. 4 Consumption Economic Model 5 Large Revenue Opportunity 6 High operating leverage tedward@onebridgesolutions.com (587) Platform for delivering new algorithms U.S. pipeline operators spend $8 billion annually to monitor and maintain infrastructure High margin and low operating costs. Scalable business model Dwayne Kushniruk, CEO OneSoft Solutions Inc. dkushniruk@onesoft.ca (780)