Einride AB · NASDAQ:ENRD

Einride AB — SPAC Merger (April 2026)

37 slides from Einride AB's SPAC merger presentation, Apr 9, 2026

  1. Slide 1: The next step in the evolution of road freight

    The n e xt s t ep in t he e v olution of r oad f r eight. EINRIDE 2026 SWEDEN

  2. Slide 2: Disclaimer (1/3)

    Disclaimer (1/3) Disclaimers and O t her Impo r tant In f ormation This p r esentation, including a n y accompa n ying oral p r esentation ( this “P r esentation”), has been p r epa r ed solely f or in f ormational purposes in connection wi t h a po t ential business combination ( t he “P r oposed B

  3. Slide 3: Disclaimer (2/3) Forward-Looking Statements

    Disclaimer (2/3) F or wa r d - Looking Sta t emen t s This P r esentation contains cer tain f or wa r d - looking sta t emen t s wi t hin t he meaning of t he U .S. f ederal securities laws wi t h r espect t o t he Pa r ties and t he P r oposed Business Combination, including e xpectations, hopes, b

  4. Slide 4: Disclaimer (3/3) Industry and Market Data

    Disclaimer (3/3) Industr y and Mar k et Data This P r esentation has been p r epa r ed b y t he Pa r ties and t heir R ep r esentati v es and includes mar k et data and o ther statistical in f ormation f r om t hi r d - par ty indust r y publications and sou r ces as w ell as f r om r esea r ch r ep

  5. Slide 5: Key members of the team

    K e y members of t he t eam R oozbeh Charli Chief E x ecuti v e Officer Henrik G r een Chief T echnology Officer & Gene r al Manager Einride Aut onomous Eric R osen feld Chief S P A C Officer - Lega t o Me r ger Corp. III Anubh a v V erma Chief Financial Officer

  6. Slide 6: No t es: Data as of December , cus t omer count as of

    No t es: Data as of December 202 5 , cus t omer count as of F ebruar y 202 6 , unless other wise no t ed. (1) As of F ebruar y 202 6 . Includes $113M in PIPE capital. F u rt her includes app r o xima t ely $100M in c r oss - o v er financing raised in 2025 f r om e xisting and n ew institutional i n

  7. Slide 7: Proprietary AI powered technology platform driving cost savings for freight solutions

    P r oprieta r y AI p o w e r ed technology plat f orm driving cost s a vings f or f r eight solutions

  8. Slide 8: Disrupting a massive but inefficient legacy system, creating a historic opportunity

    No t es: (1) Statista: Si z e of t he global logistics indust r y , Fr eightw a v es: trucking accounting f or 43% of t he sec t o r ʼ s total annual r e v enue. (2) Eu r ostat & American T rucking Association. (3) American T rucking Association & Mc K ins e y . (4) Utilization as a function of fill

  9. Slide 9: A turnkey operation addressing customer needs

    A turn k e y ope r ation add r essing cus t omer needs F ully - managed, electrified, au t onomous - r eady f r eight m o v ement ser vice at competiti v e prices Ope rational planning softwa r e Electric v ehicles and dri v ers Operational planning softwa r e all o wing f or efficient depl o yment

  10. Slide 10: Cab-less autonomous trucks in active operations since 2022

    No t es: As per December 2025 (1) P er management kn o wledge (2) Pilot p r ogram launched in 2022, and operations began in 202 3 . (3) Not counting sel f - driving y a r d trac t ors and shif t ers Chassis cont r act manu f actu r er Softwa r e stack In - House Einride ʼ s cab - less au t onomous t

  11. Slide 11: Targeting different use cases and customers for autonomous freight

    T a r geting dif f e r ent use cases and cus t omers f or au t onomous f r eight Long - haul Hub - t o - Hub T erminal - t o - Hub Sho r t - haul Fac to r y - t o - W a r ehouse W a r ehouse - to - Hub T erminal - t o - T erminal Einride Dri v er Plat f orm / Saga AI V ehicle agnostic au t onomous d

  12. Slide 12: Technology strategy builds on purpose-built cab-less autonomous trucks

    T echnology st r a t egy builds on purpose - built cab - less au t onomous trucks combined wit h p r oprieta r y Einride Dri v er Einride Dri v er Cont r ol T ow er F ully agnostic t o v ehicles, use cases, and sec t ors Cab - Less Au t onomous T rucks Einride Au t onomousʼ P r oduct O v e r vi e w

  13. Slide 13: Autonomous machine learning stack covers end-to-end AD functionalities

    Einride ʼ s au t onomous machine learning stack c o v ers end - t o - end AD functionalities No t e: (1) Cur r ent ly under d e v elopment. (2) ODD = Operational design domain Of f ering consis t ent pe r f ormance ac r oss ODDs (2) , coupled wi t h speciali z ed ODD - class models t o ensu r e f as

  14. Slide 14: Top tier safety standards resulting in zero traffic incidents

    T op tier sa f ety standa r ds r esulting in z e r o t r affic inciden t s and deli v ering st r ong r egula t or y pa r tnerships No t es: (1) T o t he best of Managemen t ʼ s kn o wledge (2) Engagemen t s include sa f ety v alidation, t echnical in t egration, and infrastructu r e coo r dination S

  15. Slide 15: Existing customers present enormous growth opportunity

    Existing cus t omers p r esent enormous g r o w t h oppo r tunity No t es: Data as of December 202 5 , cus t omer count as of F ebruar y 202 6 , unless other wise no t ed. (1) Adjus t ed annuali z ed mont hly a v erage Q4ʼ25 USD - equi v alent r e v enue f r om operational cus t omer contrac t s, ba

  16. Slide 16: Customer case study

    Cus t omer case study: No t es: Data as of December 2025 unless other wise no t ed. (1) JBPs a r e non - binding r oadmaps joint ly d e v eloped wit h Einride's cus t omers f or fu rt her electrification of t heir r oad transpo r t operations o v er a futu r e period of time. P o t ential ARR is cal

  17. Slide 17: Unlocking the potential of AI for customers

    Data sou r ces The "bot t om" l a y er Models & p r oprieta r y algori t hms The "middle" l a y er Cus t ome r - f acing digital p r oduc t s & se r vices The " t op" l a y er The Saga plat f orm le t s Einride e x ecu t e t he same r ou t es wit h f e w er trucks , less p o w er , and at a l o w er

  18. Slide 18: Freight platform optimizes electric road freight with AI

    Einride ʼ s f r eight plat f orm optimi z es electric r oad f r eight wit h AI Solv ecosyst f or a mon t hly f ee R dir cust educes t he o v e r all cost of transition t h r ough operational efficiencies, ect/indi r ect cost r eduction, and pu r chasing economies of scale vs. omers sou r cing indivi

  19. Slide 19: (1)(2) (1)(3) (3) (4) (5) (3) (3) (8) (11) (12) (5) (2)(6) (2)(10) (12)

    (1)(2) (1)(3) (3) (4) (5) (3) (3) (8) (11) (12) (5) (2)(6) (2)(10) (12) (7) (9) No t e: All Einride Data as of December 202 5 , cus t omer count as of F ebruar y 202 6 , unless other wise no t ed. (1) R ep r esen t s publicly disclosed cus t omers. (2) P er Au r ora earnings call on 02/11/2026 f or

  20. Slide 20: Strategic deployment of charging infrastructure

    No t es: Data as of December 202 5 , cus t omer count as of F ebruar y 202 6 , unless other wise no t ed. St r a tegic depl o yment of cha r ging inf r astructu r e Einride's dif f e r ent modes of cha r ging solutions ser v e v a r ying cus t omer depl o ymen t s and all o w f or additional upside

  21. Slide 21: Growing the electric fleet

    No t es: All Einride Data as of December 202 5 , cus t omer count as of F ebruar y 202 6 , unless other wise no t ed. (1) Including r en t ed / leased v ehicles as of December 202 5 . (2) P e t erbilt v ehicles a r e y et t o be p r ocu r ed and depl o y ed. (3) Bet w een Januar y 20 2 4 and Decembe

  22. Slide 22: Business model: Freight-Capacity-as-a-Service

    Business model F r eigh t - Capacity - as - a - Se r vice Cont r act structu r e R e v enue Se r vices Expec t ed cont r act du r ation Fi x ed tak e - o r - p a y monthl y ra t e b ased on minimum transpo r t c a p aci ty and V a r iable ra t e f or additional c a p aci ty utili z ed b e y ond the

  23. Slide 23: Target long-term business model economics

    T a r get long - t erm business model economics CE T s (Comme r cial Electric T rucks) Cab - less au t onomous trucks Commenta r y FCaaS upf r ont cost per v ehicle $1 7 0k – $210k $200k – $300k Cap e x f or v ehicle pu r chases Number of licensed v ehicles 1 5 , 000+ 5 , 000+ T otal v ehicles opera

  24. Slide 24: The time to scale autonomous is now

    The time t o scale au t onomous is n o w – Einride is stra t egically positioned t o fuel t he transition as a mar k et leader No t es: (1) Pilot p r ogram launched in 2022, and operations began in 202 3 . (2) P er management ʼ s best kn o wledge. Uniquely enginee r ed f or dri v erless au t ono m y

  25. Slide 25: Legato III SPAC overview

    No t es: (1) In agg r ega te. (2) Based on LE G T amount in trust at 01/30/202 6 . Assumes 0% r edemptions. Brian P r att Chairman A dam H. Jaf f e, C P A CF O , Sec r eta r y , and Dir ec t or Eric S. R osen f eld Chief S P A C Officer 10 $1.4B $ 4 . 6B M&A v alue of comple t ed DeS P A Cs S P A C

  26. Slide 26: Existing shareholders roll 100% of interest and will own ~76% of pro-forma equity

    Existing sha r eholders r oll 100% of int e r est and will o wn ~ 7 6% of t he p r o - f orma equity Existing and n ew institutional i n v es t ors funded app r o xima tely $100M in c r oss - o v er financing in connection wi t h t he con t empla t ed S P A C T ransaction, including a global asset m

  27. Slide 27: Slide 27

  28. Slide 28: Einride

    a e i n r i d e

  29. Slide 29: Appendix

    Appendix

  30. Slide 30: Customer journey

    Cus t omer journ e y Einride w orks hand in hand wi t h cus t omers t o p r o vide r e v olutiona r y logistics se r vice at a l o w er cost T r ans f ormation p r og r am Mid - t erm Sho r t - term Description St r a tegic electrification plan L e v eraging t he planning AI algori t hms t o optimi

  31. Slide 31: Risk factors

    Risk f ac t ors

  32. Slide 32: Risk factors (1/5)

    Risk factors (1/5) Risk Factors Allreferences to “we,” “us,” “our” or the “Company” refer: Einride, Le Corp. Il (“Legato Il") and the proposed npar egato Ill (the " B bination” for any other purpose. Accordingly, the list is i or "ommission ("SEC"), i ini ignificantly Risks Related to our Business .

  33. Slide 33: Risk factors (2/5)

    Risk f ac t ors (2/5) In t erruptions, outages, or f ailu r es of in f ormation technology and communications infrastructu r e and sys t ems that w e r ely upon m a y ad v ersely af f ect our business, financial condition, and r esul t s of operations. Our business ma k es e x t ensi v e use of t hi

  34. Slide 34: Risk factors (3/5)

    Risk factors (3/5) Risks Related to Intellectual Property Rights © Wemay not! 1, Maintain, protect, ‘technology and it ights or prevent others our technology affect our business, less effective than anticipated. ‘operations. Our folating our il or We renewed. to our business, and y rights if not abi

  35. Slide 35: Risk factors (4/5)

    Risk factors (4/5) Risks Related to Financial and Tax Matters (cont.) . about our " : © IFEinride i i i i ‘company ("PFIC") for US. us. . upon, and real or y business, operations. * _ Ifourjudgments or estimate our results of id resulting stock price, * Ourcurrent and y not y pensive, © Unantici rat

  36. Slide 36: Risk factors (5/5)

    Risk factors (5/5) Risks Related to Ownership of Einride Securities om “ombination, L Legato il Einvid ‘and the market price for the Einride ADSs and Einride Warrants may be affected by i those i gato Il. . for “ombination. © TheNYSE may: , ability Einrid . icly traded, Si the Einride ‘a stock follo

  37. Slide 37: Einride

    a e i n r i d e

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