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針對非汽車市場擴大激光雷達銷售
以色列特拉維夫2022年11月11日 /美通社/ -- Innoviz Technologies(Nasdaq:INVZ) (以下稱 "公司 "或 "Innoviz")為高效能固態(tài)激光雷達(LiDAR)傳感器與感知軟件的技術(shù)領(lǐng)導廠商，該公司宣布將大幅擴充其產(chǎn)品功能，近期將舉辦全球分銷商峰會，協(xié)助采購與整合InnovizOne激光雷達產(chǎn)品。此次峰會將于2022年11月14至17日在位于以色列的新總部舉行，并將支持InnovizOne激光雷達從2022年第4季度開始在非汽車市場的銷售，并在2023年逐漸提高產(chǎn)量。
InnovizOne 是Innoviz首款高端汽車激光雷達產(chǎn)品，該系列產(chǎn)品在推出不久就為公司贏得兩項定點合作 。InnovizOne 最近在兩處生產(chǎn)基地的生產(chǎn)線開始量產(chǎn)。第一處是密歇根州Holly 市的生產(chǎn)線，這處Magna 擁有的工廠為2023年上市的BMW 7 系列車型生產(chǎn)零件。第二處是位于德國代工廠的生產(chǎn)線，專門支持自主接駁車項目 ，合作對象包括某一線Tier1公司與其他客戶。為了推出這兩個汽車項目，Innoviz 進行了嚴格的穩(wěn)定化、生產(chǎn)、以及流程改進等工作。這些改進已覆蓋InnovizOne所有生產(chǎn)線，而且有助于未來促成包括InnovizTwo 與 Innoviz360在內(nèi)的新產(chǎn)品加速增產(chǎn)。
憑借在汽車市場的規(guī)模、成熟度、以及產(chǎn)品質(zhì)量，InnovizOne還能將版圖拓展至非汽車市場應用，例如智慧交通節(jié)點、安保、基礎設施監(jiān)視、起重機、建筑、自動導引車(AGV)、重型機械、農(nóng)業(yè)、港口、無人機、以及售后市場。此外，InnovizOne還可作為汽車與非汽車市場的真值傳感器(ground truth sensor)，用來驗證其他激光雷達與傳感器(例如攝像頭、雷達等)。產(chǎn)品升級讓Innoviz除了提高在汽車與非汽車市場的競爭力，同時還擴展額外的營收機會。
Innoviz共同創(chuàng)始人暨CEO Omer Keilaf表示，非常歡迎我們伙伴與全球分銷商參與這三日的高峰會，期盼共同拓展InnovizOne產(chǎn)品在各領(lǐng)域的業(yè)務。通過加速產(chǎn)品升級，我們將能滿足非汽車市場持續(xù)成長的需求，縮短從訂貨到出貨的時程，同時也能滿足服務我們的汽車市場客戶。產(chǎn)業(yè)化是激光雷達發(fā)展的重要關(guān)鍵，我們持續(xù)推動自動化與改進生產(chǎn)線，藉以維持競爭的領(lǐng)先優(yōu)勢。
Innoviz 建構(gòu)的生態(tài)系包含超過30家遍布北美、亞太、歐洲、中東、非洲等地的伙伴和分銷商。藉由廣邀持續(xù)擴增的全球經(jīng)銷商生態(tài)系統(tǒng)參與為期三天的峰會，Innoviz期盼進一步促進激光雷達作為高分辨且耐用的產(chǎn)品，以應對各種汽車與非汽車使用場景。Innoviz呼吁更多伙伴與分銷商加入生態(tài)系，在全球各地加速采用InnovizOne及其解決方案。
Innoviz 首席業(yè)務官 Tali Chen 表示，我們充分認識到分銷商憑借其區(qū)域和特定領(lǐng)域的知識為業(yè)務拓展帶來的巨大價值。我們很高興與分銷商分享 InnovizOne 如何使非汽車市場受益的遠景，并通過全球分銷商峰會為合作增長和成功發(fā)展做好準備。
歡迎成為Innoviz 激光雷達分銷商或伙伴并參與全球分銷商峰會，請email 聯(lián)系sales@innoviz-tech.com。中國合作伙伴由于新疫情管控無法前來參與盛會。
關(guān)于 Innoviz Technologies
Innoviz 為 LiDAR 技術(shù)的全球領(lǐng)導者，致力于在全球道路上打造安全的自動駕駛汽車未來。 Innoviz 的 LiDAR 和感知軟件比人類駕駛員"看得更清楚"并減少出錯可能，滿足汽車行業(yè)對性能和安全性的最嚴格期望。Innoviz 在美國、歐洲和亞洲拓展業(yè)務，并已被國際知名的頂級汽車品牌選用于乘用車，同時獲其他商業(yè)和工業(yè)領(lǐng)導者采用于廣泛的應用。更多信息請訪問innoviz-tech.com.
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Maya Lustig
Innoviz Technologies
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Forward Looking Statements
This announcement contains certain forward-looking statements within the meaning of the federal securities laws, including statements regarding the services offered by Innoviz, the anticipated technological capability of Innoviz’s products, the markets in which Innoviz operates and Innoviz's projected future results. These forward-looking statements generally are identified by the words "believe," "project," "expect," "anticipate," "estimate," "intend," "strategy," "future," "opportunity," "plan," "may," "should," "will," "would," "will be," "will continue," "will likely result," and similar expressions. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this announcement, including but not limited to, the ability to implement business plans, forecasts, and other expectations, the ability to identify and realize additional opportunities, and potential changes and developments in the highly competitive LiDAR technology and related industries. The foregoing list of factors is not exhaustive. You should carefully consider the foregoing factors and the other risks and uncertainties described in Innoviz’s annual report on Form 20-F filed with the SEC on April 21, 2021, and other documents filed by Innoviz from time to time with the SEC. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and Innoviz assumes no obligation and does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. Innoviz gives no assurance that it will achieve its expectations.
