Expert.ai S.p.a. · MIL:EXAI
Expert.ai — FY2021 Earnings Presentation
15 slides from Expert.ai's earnings presentation, Mar 30, 2022
Slide 1: FY 2021 Financial Results
FY 2021 Financial Results March 30, 2022
Slide 2: Compelling Opportunity, Strong Foundation
Compelling Opportunity, Strong Foundation Growth Advantage Scale Value IDC - AI Platform Market Hybrid/composite AI Scale technology Core verticals 34.6% CAGR thru 2025 NLU expertise/experience Scale GTM Enterprise breadth Scale process and team Analyze, understand, Gartner – AI SW market accelerate
Slide 3: Accelerating our strategic transformation
Accelerating our strategic transformation Product SaaS Focus Leadership BoB 64% Platform Core Revenue Hybrid NL Team to Win Annual Recurring Revenue 95 new experts +37% YoY Non-IFRS figure Focus on R&D and NA
Slide 4: Y/Y Revenue Comparison
Y/Y Revenue Comparison Revenue stream FY 2020 € FY 2021 € Δ Y/Y • Accelerated shift to SaaS • 64% of core revenue Recurring 15.5 17.6 14% revenues • Pure SW license +25% YoY Subscription 11.3 14.1 25% • Perpetual – legacy only Maintenance 4.2 3.5 -17% • Professional Services Perpetual • Focus on rep
Slide 5: Y/Y P&L Comparison
Y/Y P&L Comparison Year ended 31 Dec FY 2020 € FY 2021 € Δ Y/Y 30.6 31.1 2% • Sales and Total revenues (34.7) (40.5) 17% Marketing +48% YoY Total costs COGS (13.1) (13.0) -1% and 59% of revenue S&M (12.4) (18.3) 48% (9.3) (9.2) -1% • ~70 total sales with G&A EBITDA (4.1) (9.4) 40% quota carrying EBI
Slide 6: Cash Flow
Cash Flow • Major R&D investment • Solid cash position • Low-cost debt
Slide 7: Solid 2020-21 ARR Growth
Solid 2020-21 ARR Growth Y/Y Growth 18 37% 16 • Annual (non-IFRS) recurring revenue 14 • Growth in all geos – accelerated NA and EMEA 12 • Includes new, expansion and renewals 10 business 8 16,5 • Multi-year committed ARR 31% of total 6 12,1 • New/expansion €4.5M 4 • Foundation of enhanced SaaS prof
Slide 8: NLP Core in AI Software $135B Forecast
NLP Core in AI Software $135B Forecast AI and Data Science Platform Emotion AI Analytics and BI Email and Authoring - Platform Enterprise Customer Service Applications NLP / NLG Text Analytics
Slide 9: Unique Competitive Advantage for expert.ai
Unique Competitive Advantage for expert.ai “Many current platforms and tools only support the development “…expert.ai’s knowledge graph beats purely ML- and operations of ML models and are incapable of supporting the based text analytics apps …achieving faster time-to- combined use of the diversity
Slide 10: The problems we solve
The problems we solve • Integrated Platform Before • Purpose Built for NL • Hybrid NL to address limitations of pure ML • Synergies across different applications (no tech debt) • Enterprise ready • Relevant from no-code business analyst to power data scientist After Copyright (c) by expert.ai. All R
Slide 11: The Complexity Challenge - Talent
The Complexity Challenge - Talent The expert.ai answer • Deep practical experience • Low-code/No-code platform • Hybrid approach for optimal results and business user engagement
Slide 12: Platform as Product
Platform as Product • Situational Analysis • 90% of CDO's see value in unstructured language • <10% adopted solution • Ideal Customer Profiles • Data practice advanced in AI adoption • Lines of Business with specific use ases • Technology Partners – vertical & horizontal focus (RPA, search, content
Slide 13: Analyze. Understand. Accelerate.
Analyze. Understand. Accelerate. Analyze Complex Understand Risk & Accelerate Documents Opportunity Processes Identify, compare, and extract Extract financial results from Accelerate customer processes specific clauses across complex earnings press releases and (i.e., claims management) with legal c
Slide 14: Use Cases Across a Broad Set of Verticals
Use Cases Across a Broad Set of Verticals Solutions from process automation and fraud detection to manufacturing process enhancement Application Benefits Representative Customers Improve decision-making, reduce risk, Workflow simplification, error reduction, improved Insurance and streamline process
Slide 15: Thank you
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