AI-Powered Intelligent Incident Response · AI-Powered Intelligent Incident Response For DevOps & Data Centers From Madness to Method, From Chaos to Control

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AI-Powered Intelligent Incident Response For DevOps & Data Centers

From Madness to Method, From Chaos to Control

™Our Team Experienced leadership with 40+ total years in Enterprise Software & IT Operations

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6PersonUSTeam6PersonOffshore

Dev&QATeam(India)

JulieBasu,PhD

DirectorofEngineering,OracleMS,PhDinComputerScience

(AI&Databases)

TerryGallagher

LeadpositionsinITOperations&CrisisManagement

RishiMukhopadhyay

VCAnalyst&StartupCorpDev.BSinComputerScience&

Business

Founder,CEO&HeadofR&D

Co-founder,COO&HeadofProduct VPofCustomerSolutions Dev,Doc&QA

AI/ML,Server,UI/UX

Confidential|smartQED.com

™IT Market Trends

RecentRiseofCloud&DevOpsØ  HighAvailabilityRequirements,DistributedTeamsØ  DevOpswithSuper-AgiledeploymentsØ  Commontechnologystacks(~50%repeatproblems)

TheChallengeComplex,cross-functionalproblems

thataredifficultandtime-consumingtoresolvebydistributedteams(Time=Money)

3Confidential|smartQED.com

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Chaotic&TediousInvestigations(IncidentResponse)

Check Alerts

& Events

Search Logs & Forums

Read Knowledge

Articles

Analyze & Document

Collaborate & Coordinate

Alerting&Logging(IssueTracking)

DataGathering&Analytics(Collection&Detection)

MonitoringTools

The Problem: Inefficient Incident Response ™

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Log&Events

™Customer Pain Points: Global Telco ™

§  Infrastructure&CloudServiceProviderfor300+customers§  LargeIToperationsteamwithtimepressurefromSLAAgreements

MajorPainPoints1)  ManualSearchingandFilteringofResults-Tedious

2)  Ad-HocProblemSolvingMethods–Unclearstatus

3)  FragmentedCollaboration-Inefficienthandover

4)  DifficulttoreuseKnowledge–Write&readarticles

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RevenueLossduetoSLAViolations&LossofReputation,GoodwillwithCustomers!


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ProblemDescription:•  Usersreportedthatcompanywebsitewasdowndisplaying“500ServerError”•  FourteamsneededtocollaborateinaP1‘WarRoom’(NetworkAdministrator,SystemAdministrator,DBA,WebDeveloperonbridge)

•  Uncoordinatedactionstakenbyteammembersfailedtoresolveproblem•  Finally,NetworkAdministratortracedproblemtofirewallpolicies•  ResolutionprocesswasinefficientduetolackofacollaborationframeworkandinabilitytoauditteamactionsHowsmartQEDcanhelp:ITManagerexpressedsmartQED’sMethodicalCauseAnalysistoolsandAuditTrailwouldfacilitateorganizedcollaborationbetweenteamsandspeedupproblemresolution.

ROI:ReducedMTTR,Increasedproductivity&efficiency

Use Case: Complex Cross-Functional Problem, Distributed Teams


™smartQED Solution Architecture ™

Operators&SMEs

QED Solution Room

New Cases

Matching Cases

Adapters&APIsforMonitoring&LogData,Alerts&Anomalies

AI-DrivenResolutionVisualCauseAnalysis

In-ContextCollaboration Recommendations

Managers

CommunityForums&InternalKnowledgeBases

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Private&CrowdsourcedProblemswithContext,Symptoms&Solutions

Recommendation Engine (AI & Machine Learning)

Self-Learning


™Our Vision

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VisualWorkbenchforCollaborativeCauseAnalysis

Self-LearningfromUserActionswithSolution&CauseRecommendations

Comprehensive,CrowdsourcedCaseBasewithRankedSimilarityMatching


™Solution Benefits

ü KnowledgeReuseLearnfromSMEactionsand

reusetheknowledge

ü TeamCollaborationIn-contextcollaborationwith

360°viewofaproblem

ü ReducedMTTRMitigaterevenueloss&reputationaldamage

ü EasyStatusTrackingAuditTrails,Reports&

DashboardsforITmanagers

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Ø  IncorporatedinApril2016

Ø  BetaProductBuilt&Deployedwith$250K+Founder’sCapital

Ø  FFLaccelerator,with$300K+AWS,Google&IBMCloudcredits

Ø  Launchingcrowdfundingcampaigntoraisefirst$100Kexternalcapital

Ø  Unanimouspositivefeedbackfrompipelinecustomers

Company Status

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“Thisproductisabrilliantconcept!

ItsolvesthepainpointsofmyITOpsteam.”

GlobalTelecommunicationsExecutive


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Ø  PaidPilotwithglobaltelecom&cloudserviceprovider

•  15Krevenueaccrued,expectadditionalrevenue

•  PotentialChannelopportunity,expansionwithinotherinternalgroups

Ø  UnderevaluationwithmultipleSMBs&largeenterprises

Ø  ITSM/ITOMMarketLeader:“ThisisawhitespaceforusandsmartQEDwouldbeavaluableandcomplementaryAppintermsofaddingMLandsuggestedremediationtoourITSMandITOMtoolsets”.

Customer & Partner Traction


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smartQEDUniqueness&IP Core IP & Product Differentiators:

ü  Visual,self-learningworkbenchforin-contextcollaboration&causeanalysis(Patenting)

ü  RecommendationEngineusingproblemContext&Symptoms(usesproprietarysimilarity

matchingalgorithms)

ü  Symptomextractionfromcommunityforums(eg.Stackoverflow)usingNLP&machine

learning(toleveragecommunityintelligenceforcause&solutionrecommendations)

ü  Open&extensiblearchitecturewithAPIsandOOBadaptersforcommontoolslike

Splunk,NewRelic,AppDynamics,ServiceNow…

™Market Size

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$2B+USTAM

Methodology•  GatheredUSCensusDataoncompaniescategorizedbyNAICScode•  Segmentedcompaniesbysizeandapplicableindustries•  AppliedaverageASPassumptionsbasedoncompanysizes

RelatedMarketSize

GartnerITOpsMgmt(ITOM)marketestimate:

$21Bwith7%growth

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• Channel:Cloud&ITServiceProviders• Direct/OnlineSales:Enterprises&SMBswithlargeITfootprints

• Partner:Integrate&co-sellwithcomplementaryproducts

• IdealCustomerProfile:• SizableOpsTeamdistributedglobally(20+people)• BusinessCriticalApplications• FollowingITILProcesses• PreferSplunkand/orServiceNowCustomers

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Go To Market

™Business Model

UserBasedSaaSSubscription AnnualUserBasedLicense

Cloud On-Premise

•  30dayFreeTrial•  DiscountsforQEDCaseBasecontribution•  Usagelimitonproblemmatchingbypackage

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Cloud Pricing Type Bronze Silver Gold Platinum Package 1-50 Users 51-100 Users 101-200 Users 201+ Users

Price $35/Mo./User $30/Mo./User $25/Mo./User Custom (Call Us)

Support Included!


List Pricing ™

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On-Premise Pricing Type Bronze Silver Gold Platinum Package 1-50 Users 51-100 Users 101-200 Users 201+ Users

Price $24,000 Annual License

$42,000 Annual License

$72,000 Annual License

Custom (Call Us)

Support (18%) $4,320 /Yr. $7,560/Yr. $12,960 /Yr.

30DayFreeTrial(CloudOnly) DiscountsforQEDCaseBaseContribution


Market Landscape

ProblemDiagnosis&Resolution

InformationConsolidation

DataCollection&Detection

IncidentManagement

TheBigFour

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™Competitive Analysis

❍ :PartialFeature 18

ThisinformationcompiledasofDec.2017basedonpubliclyavailableinformation.Productfeaturesmayhavechangedsincethen.

™Milestones & Budget

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Quarter Q42017 Q12018 Q22018 Q32018Milestones ü  CompletesmartQED

Integrationw/Telco.Client&Deploy

ü  RecommendationEngineAlpha

ü  TakeCollaborativeToolsettoProduction

ü  Close2morePilotCustomers

ü  FileProvisionalPatents

ü  5ActiveCustomersü  TakesmartQED

RecommendationEnginetoBeta

ü  ReleaseServiceNow&SplunkApps

ü  10ActiveCustomersü  Partnerwithchannel

providersü  LaunchPublicOnline

“Freemium”


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§  Nov2017-CollaborativeVisualWorkbenchBeta2,AlphaRecommendationEngine(Delivered)

§  Feb2018-CollaborativeVisualWorkbenchProduction(SaaS,OnPrem)

§ March2018-SplunkAdd-On

§  April2018–StandaloneRecommendationEngineBeta1

§  Jun2018– ServiceNowApplication

§  August2018-Online“Freemium”andFreeTrials

§  Sept2018–StandaloneRecommendationEngineBeta2

§  December2018–FullProductionwithIntegratedRecommendationEngine

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Product Roadmap


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§ UseOfFunds

ü SalesTeamwithenterpriseexperience

ü FullTimeDevelopmentTeam

ü Customerdeployments&support

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Use of Funds

Confidential| smartQED.com

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•  President&CEOatXangatisoldtoVirtualInstruments

•  President&CEOatAdaptecsoldtoPMC-Sierra•  Boardmember:GridGain,

Sureline,Sandforce

Our Advisors

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•  FounderofIndusAgePartners,BoardDirectorof5+VentureBackedCompanies

•  FormerFounder,VP&GMofIntelCapital:Ledmulti-billiondollarcorporateinvestmentsandM&Adeals

PioneeringVentureCapitalist

MaheshKothurkar

•  EnablesstartupstogaintractioninSiliconValley&India

•  FormerGM-TataComm.GrowthVentures&HeadofGlobalExcellence

BusinessStrategyLeader

TalhaHussein

•  PriorheadofsalesatNeptune.io

•  Closedfirst20customers,5lighthousewinsforNeptune

•  Increasedrevenue40%monthly.

SalesLeaderSeasonedBusinessExecutive

SriramViswanathanS.SundiSundaresh


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Julie Basu, PhD

[email protected] (650) 440-2269

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From Madness to Method, From Chaos to Control

AI-Powered Intelligent Incident Response · AI-Powered Intelligent Incident Response For DevOps & Data Centers From Madness to Method, From Chaos to Control

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