Expert.ai S.p.a. · MIL:EXAI

Expert.ai — Investor Presentation (October 2026)

39 slides from Expert.ai's investor presentation, Oct 7, 2026

  1. Slide 1: Investor Deck Expert.ai

    Investor Deck Expert.ai October 7th, 2026 1

  2. Slide 2: Overview

    Overview Weorcer ai

  3. Slide 3: About Us: Expert.ai Group

    OVERVIEW About Us: Expert.ai Group Expert.ai Companies in the Group Footprint Founded in 1989 Fusion AI Labs S.r.l. Offices & AI Labs in Europe and NA Listed on Euronext Growth • AI Applied Research arm • Joint venture Milan market (EXAI:IM) since 2014 Team ISED S.p.A. Vertical AI Software Solutions

  4. Slide 4: Our Purpose

    OVERVIEW Our Purpose vertical AI regulated maximizing operational efficiency, experts Industries reducing risk, increasing profitability We empower enterprises to operate better, faster and safer with a vertical AI suite that transforms complex data and knowledge into trusted decisions. enterprise-g

  5. Slide 5: Positioning in the AI ecosystem map

    OVERVIEW Positioning in the AI ecosystem map Chipset & Hyperscalers Foundation Enterprise Vertical AI Solution Players Customer Hardware / Cloud Models Data Domain-specific AI Companies Providers (LLMs) Platforms solutions and tools optimized for specific Organizations Providers that integrate AI in

  6. Slide 6: Unique Selling Proposition

    OVERVIEW Unique Selling Proposition Control, Compliance, Expert.ai offers strategic independence from hyperscalers and proprietary LLM ecosystems, ensuring governance, auditability, and data sovereignty while maintaining full control of sensitive workflows and Independence Enterprise-Grade Expert.ai

  7. Slide 7: Enterprise AI Solutions designed for Vertical Markets

    OVERVIEW Enterprise AI Solutions designed for Vertical Markets • Insurance • Banking & Financial Services • Digital Information Services INDUSTRIES • Public Sector • Industrial • Pharma & Life Sciences A suite of complete, ready-to-use and tailor-made AI Eiden AI solutions for vertical markets, comb

  8. Slide 8: Vertical Industries – use cases

    OVERVIEW Vertical Industries – use cases Insurance Banking & Financial Digital Information Services Services • Reduce risk, improve win rates, and • Capitalize on knowledge and streamline • Capitalize on knowledge and streamline increase capacity for commercial information-intensive processes to mee

  9. Slide 9: The Microsoft partnership

    OVERVIEW The Microsoft partnership What we aim for, what it gives Expert.ai, and what it is worth. QUALITATIVE Q U A LI T A T I V E QUANTITATIVE Objectives Benefits for Expert.ai Economic dimension Technology • Revenue on actual customers and Co-marketing Deep integration with Microsoft systems cust

  10. Slide 10: AI Professional Team

    OVERVIEW Data Science, Stats, Algoritms AI Professional Team Researcher Empowering AI adoption with AI Architect a team of 130 experts, Citizen Data mastering everything from Scientist ML Business, data management to data Engineer Analyst science and domain expertise, Business, Domain all driven by

  11. Slide 11: Technology

    Technology Weorcer ai

  12. Slide 12: What the market is learning

    TECHNOLOGY What the market is learning We turn the language an enterprise runs on into decisions it can act on, repeat, explain and afford. THE MARKET THE EXPERT.AI ANSWER Getting value now matters more than getting access. Act when confident, escalate when not. 1 Few companies can show AI in their

  13. Slide 13: What we bring to market

    OUR OFFERING What we bring to market PRECS as the promise, Vertical AI on a neuro-symbolic foundation as the offer. 1 PRECS Five parameters we help you control, step by step 4 Inside your agents How the foundation plugs into any agent platform, under your governance 2 Vertical AI on a neuro-symbolic

  14. Slide 14: PRECS: five parameters we help you control

    TECHNOLOGY PRECS: five parameters we help you control Not the maximum on every axis, but the right balance for each client, set step by step across deterministic and probabilistic AI. Precision Repeatability Explainability Cost Speed The right answer, with the right Same input, same output. Why this

  15. Slide 15: The Neuro-Symbolic approach

    TECHNOLOGY The Neuro-Symbolic approach Five ways of thinking, working together Statistical ML Generative AI Data + statistics LLMs and xLMs Statistical – the pattern brain. Learns one task from Generative – the language brain. Reads and writes labelled examples. Fast and cheap at volume, but it only

  16. Slide 16: The right AI path to production

    TECHNOLOGY The right AI path to production At every turn, the right kind of intelligence, and why. Knowledge Models Generation Guardrails S G M E G G S D The LLM drafts the taxonomy; the Small task models and domain xLMs: LLMs and agents only where they Every answer checked against its symbolic grap

  17. Slide 17: Vertical AI on a neuro-symbolic foundation

    TECHNOLOGY Vertical AI on a neuro-symbolic foundation Use cases you can see on top. The foundation that makes them precise, repeatable and affordable underneath. Banking Insurance Industrial & Multi- Information Government services Services · Perpetual KYC · Claims assistant · Pharma knowledge · Ins

  18. Slide 18: Where enterprise AI is going, 2026–2029

    CONNECTED · OUR VIEW OF THE FUTURE Where enterprise AI is going, 2026–2029 What the market says, what we see, and where Expert.ai stands in each shift. 1 AI does not spread like any technology before Same word, many 4 They orchestrate agents We orchestrate AI systems, inside whichever technologies:

  19. Slide 19: The market is transforming. Every shift maps to a layer of control we build

    TECHNOLOGY The market is transforming. Every shift maps to a layer of control we build What the market says 2026 2027 2028 2029 Agents at scale 12 agents per enterprise >40% of agentic projects cancelled 70% of AI apps multi-agent 1B+ active agents Salesforce · measured Gartner · forecast Gartner ·

  20. Slide 20: Value for our customers

    Value for our customers Weorcer ai

  21. Slide 21: From risk to revenue

    VALUE FOR OUR CUSTOMER From risk to revenue Three use cases live in banks today. Each one is a different composition of the same foundation bricks. 1 · RISK & COMPLIANCE 2 · PROCESS AUTOMATION 3 · CUSTOMER INTERACTION Perpetual KYC Complaints management Customer engagement Continuous screening of ad

  22. Slide 22: From standard to transformational

    VALUE FOR OUR CUSTOMER From standard to transformational Three use cases live in banks today. Each one is a different composition of the same foundation bricks. 1 · CLAIMS & INTAKE 2 · UNDERWRITING & RISK 3 · COMPLIANCE & SERVICING Claims assistant Underwriting risk assessment Policy summarization R

  23. Slide 23: Knowledge that runs the business

    VALUE FOR OUR CUSTOMER Knowledge that runs the business Industries where technical and scientific knowledge is the asset. The same bricks, composed around a knowledge graph. 1 · LIFE SCIENCES 2 · ENERGY 3 · MANUFACTURING Knowledge structuring Design compliance From know-how to knowledge Turns public

  24. Slide 24: Achievements

    Achievements Weorcer ai

  25. Slide 25: Strategy Execution (2024-2025)

    ACHIEVEMENTS Strategy Execution (2024-2025) Investment agreement What we delivered for Project the Villanova Launch of the EidenAI suite, offering solutions for specific use cases in selected verticals Debt renegotiation and 10 Strategic Pillars set successful completion Completed two out aimed at r

  26. Slide 26: Relaunch & Repositioning: Driving Outstanding Performance

    ACHIEVEMENTS Relaunch & Repositioning: Driving Outstanding Performance Revenues (€M) EBITDA (€M) 42.7 10 20% EBITDA margin EBITDA 12% 31.7 32.6 5 7% 30.6 31.1 8.5 27.3 (1%) 3.4 1.5 0 (0.2) 20.4 (4.6) (15%) -5 (9.5) (14.4) (30%) -10 (45%) -15 2020 2021 2022 2023 2024 2025 1H 2026 2020 2021 2022 2023

  27. Slide 27: M&A, Partnership and Investment Agreements

    ACHIEVEMENTS M&A, Partnership and Investment Agreements Villanova.ai Fusion AI Labs ISED S.p.A. Finix S.p.A. S.r.l. Technology Solutions S.r.l. • Access to European • Opportunity for Expert.ai • Consolidate Expert.ai's • New service type: funding and partnerships to innovate its offering of position

  28. Slide 28: Strategic plan 2026-2028

    Strategic plan 2026-2028 28

  29. Slide 29: High-Growth Market

    STRATEGIC PLAN 2026-2028 High-Growth Market GenAI market size ($B) CAGR 2025-2029 of the main Expert.ai sectors CAGR (25-30) 43% 333 Banking & Insurance 41% 2 40.1% 40% 52 38% 271 Media 34% 2 36% 41.4% 43 39.3% 20% 199 137 PA & Intelligence 19% 1 21% 33 113 36.5% 137 20% 1 Pharmaceutical 20% 23 85 2

  30. Slide 30: Action plan: 3 Strategic Waves

    STRATEGIC PLAN 2026-2028 Action plan: 3 Strategic Waves Growth Drivers 2026 2027 2028 Geographic Industry focus Customer Consolidation ▪ Expansion of offerings to existing customers 1 ▪ Financial Sector ▪ Media and Publishing ▪ Acquisition of new customers in existing industries ▪ PA & Intelligence

  31. Slide 31: Enablers for the 2026-2028 strategic plan

    STRATEGIC PLAN 2026-2028 Enablers for the 2026-2028 strategic plan Invest in R&D and technologies to expand the range of products/services offered, increase the scalability and distinctiveness of Investments in R&D Expert.ai and its products on the market, and defend the competitive advantage of the

  32. Slide 32: Targets 2026-2028

    STRATEGIC PLAN 2026-2028 Targets 2026-2028 Revenues (€M) EBITDA (€M) 15 23% 22% 22% 20% 10 EBITDA margin 55.7 59.3 12% 12.7 13.0 51.4 11.2 EBITDA 42.7 5 8.5 27.3 3.4 0 2024 2025 2026 E 2027 E 2028 E 2024 2025 2026 E 2027 E 2028 E Gross Margin (€M) Cash EBITDA (€M) 68% 65% 65% 64% 64% Gross Margin %

  33. Slide 33: 1H 2026 – financial results

    1H 2026 – financial results 33

  34. Slide 34: Profit & Loss 1H 26

    1H 2026 – FINANCIAL RESULTS Profit & Loss 1H 26 €M H1 26 H1 25 Var. Total revenues 20.4 15.6 4.7 ▪ Total revenues €20.4M, +30% YoY, driven by the contribution COGS (9.2) (7.0) (2.2) of ISED and the progress of the Villanova project. Gross Margin 11.2 8.6 2.6 % Revenue 55% 55% ▪ Gross margin €11.2M,

  35. Slide 35: Balance Sheet 1H 26

    1H 2026 – FINANCIAL RESULTS Balance Sheet 1H 26 €M 30/06/2026 31/12/2025 Var. Trade receivables (long term) 2.6 2.7 (0.1) ▪ Net Working Capital at €15.5M, supporting the ongoing Fixed asset 24.8 27.4 (2.7) expansion of the business and reflecting higher commercial Non-current financial credits 18.1

  36. Slide 36: Cash Flow 1H 26

    1H 2026 – FINANCIAL RESULTS Cash Flow 1H 26 €K 1H 26 1H 25 Net Income (3,737) (6,824) Depreciation & Non-Cash Items 5,435 6,300 ▪ Operating activities generated substantially breakeven cash Working Capital Variations (1,631) 3,352 flows, supported by positive EBITDA of €1.4M, largely offset by Other

  37. Slide 37: Closing remarks

    Closing remarks Weorcer ai

  38. Slide 38: Investment highlights

    CLOSING REMARKS Investment highlights Solid and diversified portfolio of large customers Significant and recognized expertise in AI technologies and in delivering scalable and vertical solutions Artificial Intelligence market’s growth and need for expertise Successful strategic company transformatio

  39. Slide 39: Thank You!

    Thank You! www.expert.ai linkedin.com/company/expert-ai ir@expert.ai 39

Expert.ai — Investor Presentation (October 2026) on 6ix