Th The e Future uture of M of Min ineral eral Ex Explo - PowerPoint PPT Presentation

Th The e Future uture of M of Min ineral eral Ex Explo ploration ration Feb 2019 1

FOR ORWARD ARD Certain statements in this presentation constitute forward looking information within the meaning of applicable securities laws. These statements relate to future events or Goldspot Discoveries Inc. ’s (“Goldspot Discoveries” or “the Company”) future performance, business prospects or opportunities. Any statements that express or involve discussions with respect to predictions, expectations, beliefs, plans, projections, objectives, assumptions or future events LOOKING OOKING or performance (often, but no always, using words or phrases such as “seek”, “anticipate”, “plan”, “continue”, “estimate”, “expect”, “forecast”, “may”, “will”, “project”, “predict”, “potential”, “targeting”, “intend”, “could”, “might”, “should”, “believe”, “outlook” and similar expressions) are not statements of historical fact and may be forward looking information. STATEME ST TEMENT NT Forward looking information in this presentation includes, but is not limited to, statements with respect to the Company’s future plans to acquire additional targets or properties including equity positions with partners, enter into joint venture, earn ‐ in, royalty or streaming structure agreements, or dispose of properties, achieve an income stream which would permit it to pay a dividend on its outstanding shares, the timing and amount of future exploration and expenditures and the possible results of such exploration. Forward looking information involves known and unknown risks, uncertainties and other factors which may cause the actual results, performance or achievements of the Company to be materially different from any future results, performance or achievements expressed or implied by the forward looking information. Such risks include, among others, the risk that the Company will not be successful in completing additional acquisitions, risks relating to the results of exploration activities and risks relating to the ability of the Company to enter into joint venture, earn ‐ in, royalty or streaming structure agreements, or dispose of properties, future prices of mineral resources; accidents, labor disputes and other risks of the mining industry including continued community and government support of the Company’s projects. The Company believes that the expectations reflected in such forward looking information are reasonable, but no assurance can be given that these expectations will prove to be correct and such forward ‐ looking information should not be unduly relied upon. These statements speak only as of the date of this presentation. The Company does not intend, and does not assume any obligation, to update any forward ‐ looking information except as required by law. 2

Investors don’t need anothe an other r exp xplo lora ration tion gambl ga ble... e... They Th y ne need a n d a new way y to o pl play y th the min inin ing g sp spac ace. 3

ARTIFICIAL ART IFICIAL INT INTELLIGENCE. ELLIGENCE. GoldSpot Discoveries is using machine learning as a very powerful extension of geological brainpower to unlo lock ck deep ep val alue ue in in expl xplorat oration ion an and in investm estment ent dat ata. a. 4

THE FUTURE OF MINING IS HERE From om incep epti tion on throu ough gh to proof of-of of-co conc ncept, t, GoldSpo dSpot has emerged erged as the e leader der in AI AI and machine hine learni rning ng in mining. ing. In n tur urn, n, GoldSpo dSpot is able e to make e intelligent elligent invest stmen ent t deci cision ions, , acqui uire re roya yalti ties es on the e worl rld's d's best t ass ssets ts, , and d with h our ur team's m's technic chnical al prowess ess, , identi entify fy drill targe gets ts and optimi imize ze oper erat ations. ions. • Par Partne ners and clients ents include de Yamana ana, , Hoschchil chchild, , McEw Ewen, n, Sprott tt, , and d more re • Team m of 23 exper erts ts across ss Ea Earth h Scien ences ces and Data Scienc ences, s, including luding 9 PhDs in geology ology and data scienc ence • Utilize zes s all kno nown wn data points ts to provi vide de minin ning compan panies ies with h the e very y best st targe gets ts • Invest estmen ent t in and d acqui uisiti tion on of roya yalti ties es from om explor lorat ation ion companies anies • Developme elopment nt of an AI AI-dri driven en indust stry y scree eenin ning g platform orm to det etermine ermine ideal al partne ners s and invest stmen ent oppor ortu tuni niti ties es 5

SKILL TO UNLOCK BIG DATA GoldSpot’s domain expertise bridges ges the gap between geosc scien ience ce and artific ficial ial intelligen lligence ce by offering a front to back solution Data Cleani ning ng Inter erpreta pretati tion n Geologica cal Structura ructural Geochemis mistr try Geology Geophysics ysics & Digitiz gitizati tion & Mappi ping ng Modeling ng Geology

PEAK DISCOVERY & THE BIG DATA PROBLEM Deposits osits are becomi oming ng more compl mplex x and harder er to find. d. Resou esource ce compa pani nies es have e spent nt huge amounts unts of money in explor orat ation on to collect ect data. a. Peak k Disco cover ery spendin ding g has collect ected ed more data a at than ever befor ore. e. New data sources ces and techno nologi ogical cal advan ancemen cements ts have e resulted ed in enormous ous amoun unts ts of multi-varia ariant nt and compl mplex x raw data. a. Data a collecti ection on has signi nifican cantl tly outpaced aced the capabil abilit ities es of tradit itiona onal geologists ogists to fully y underst stand nd and unlock ck all value ue hidden en in the data. a. 7

DATA SCIENCE SOLUTION What t if a c com omputer er could uld make e the e first st pass, , extr tracti cting ng corre relati tions ons and patterns erns from om all this s un underutilized derutilized data to predic dict t the e likel eliho hood od of finding ding minera nerals ls? Machine ine Learning arning – a sub ubfiel ield d of data scien ence, ce, is one ne of many y tool ols s to be us used d to provide ide an edge ge to explorer lorers, s, reducing cing time, e, costs ts and risk sks ass ssoc ociat iated d with th explor lorati tion on. Cloud d com omputing ing allows ws easy y acces ess s to Sup uper er Comput puters s to run un compl plex x algorit rithm hms. s. AI AI is the e key y to un unlocki cking ng new w disco coveries eries in exist sting ng datas asets ts 8

SOLVING THE BIG DATA PROBLEM SKILL ILL TO O UNLOCK K MONET NETIZ IZATI TION ON VALID IDATI TING G BIG IG DATA STRA RATE TEGY TECHNO HNOLOG OGY WIT ITH H Monetization through Bridging the gap INDUSTR IN USTRY Y LEADERS ADERS revenue services; between geoscience Working with motivated and data science. investments, JVs, NSRs and resource companies, with Resource Quantamental. regional-scale exploration projects. 9

THE APPROACH Pr Private e and d confide dential 10 10

THE SERVICES WORKFLOW Data is cleansed, transformed, Input Data interpreted and then used to Targets are identified with train machines in order to high potential for predict targets mineralization 11

VALIDATED TECHNOLOGY WITH INDUSTRY LEADERS To date, GoldSpot is working with some of the mining industry’s most respected leaders to identify new targets and develop new technology and techniques. Our service partners are now some of our most supportive shareholders. 12

CLIENT TESTIMONIALS "As the first AI company in mining, . “GoldSpot has produced a very high - " We are very excited to be partners GoldSpot combines powerful machine quality 3D geological model of the with GoldSpot, their approach to Jerritt Canyon district which provides an learning and traditional geology to exploration using leading edge unlock deep value in exploration data. excellent foundation for continued technology has not only allowed us to Our project in Idaho, DeLamar, is rich in exploration. We look forward to drilling validate targets, but has provided us history and data and we’re excited to the priority targets derived by GoldSpot with fresh ideas and new concepts. be working with GoldSpot Discoveries through their detailed assessment (AI GoldSpot is helping us to embrace new techniques) of the data. The to leverage the most innovative technologies.“ approach to exploration targeting the management of Jerritt Canyon Gold mining sector has seen.” looks forward to future collaboration -Ramón ón Barúa rúa, , CFO of Hochsc schild ild with GoldSpot in the continued Min ining ing -George ge Salam lamis is, , Pres esid iden ent, , CEO EO and exploration and development of the Jerritt Canyon district” Direct ector, Integra egra Res Resour urce ces - Jamie ie Lavign gne, , VP Expl xplor orati tion on of Sprott Min ining ing 13