Sparsh CCTV, Innoviz Technologies, and Cron AI Partner to Offer a Security and Intelligent Transport System (ITS) Solution Across India
Rhea-AI Summary
Innoviz Technologies (NASDAQ: INVZ) has announced a strategic partnership with Sparsh CCTV and Cron AI to deploy an integrated LiDAR-camera-vision perception platform across India. The collaboration targets India's growing perimeter security and intelligent transport sectors, with a total addressable market exceeding $1 billion.
Sparsh CCTV, with its presence in 120+ cities and 2,000+ partners, will lead market efforts and explore local manufacturing. The solution combines Innoviz's LiDAR technology, Cron AI's deep learning perception, and Sparsh's vision systems to create an edge-native platform designed for Indian conditions, operating at just 8 watts with no GPU requirements.
The partnership aims to serve India's perimeter security sector ($3.23 billion with 14% CAGR through 2030) and intelligent transport market ($1.44 billion), focusing on transport, security, railways, and critical infrastructure applications.
Positive
- Partnership provides access to India's $1 billion+ addressable market opportunity
- Leverages Sparsh's extensive network across 120+ cities and 2,000+ partners
- Solution operates efficiently at just 8 watts without GPU requirements
- Targets high-growth markets: security sector (14% CAGR) and transport infrastructure
Negative
- System deployment and integration in harsh Indian conditions may present challenges
- Complex multi-party collaboration could affect implementation timeline
News Market Reaction
On the day this news was published, INVZ declined 0.62%, reflecting a mild negative market reaction. Argus tracked a peak move of +2.0% during that session. Our momentum scanner triggered 13 alerts that day, indicating notable trading interest and price volatility. This price movement removed approximately $2M from the company's valuation, bringing the market cap to $347M at that time.
Data tracked by StockTitan Argus on the day of publication.
Parties aim to deploy LiDAR-camera perception nodes for perimeter and area monitoring across
The announcement comes at a time when
With a footprint across 120+ cities, a network of 2,000+ partners, and an annual production capacity of 500,000+ security devices, Sparsh will lead go-to-market efforts, support integration, and explore local manufacturing for the unified sensing platform.
The edge-native perception nodes — combining high-performance LiDAR, deep-learning perception, and vision analytics — are expected to be part of a security infrastructure upgrade project which is planned to go live at critical infrastructure across
"This partnership marks a major leap in how
Built for the Edge. Ready for
The integrated platform considers the complexities of Indian outdoor environments — heat, dust, glare, fog, and electrical instability — and delivers continuous, low-latency awareness at the edge.
- InnovizSMART LiDAR delivers long-range, high-resolution, uniform 3D coverage, built to perform in harsh weather and lighting conditions.
- Cron AI's senseEDGE processes every point in the LiDAR cloud using deep learning — not clustering — for greater accuracy, richer context, and consistent performance. It runs at just 8 watts, with no GPU or external infrastructure.
- Sparsh's vision systems contribute intelligent classification, layered redundancy, and real-time visual analytics — enhancing overall system reliability.
Together, they create a true sensor fusion platform, where 3D point cloud, video vision, and edge-native AI combine to deliver next-gen situational awareness — deployable in the near future.
"
"Innoviz is proud to bring our rugged, automotive-grade LiDAR technology to one of the world's fastest growing infrastructure markets," said Omer Keilaf, CEO and Co-founder of Innoviz Technologies. "Paired with Cron AI's powerful edge-native perception and Sparsh's national reach, we are going to enable real-time intelligence for
From intersections, railways to critical infrastructure and perimeters, this is the future of sensing in
About Sparsh CCTV
Sparsh is
About Cron AI
Cron AI is a deep tech company transforming 3D perception for real-world infrastructure. Its platform, senseEDGE, uses deep learning to interpret every point in a LiDAR cloud — delivering accurate, robust insights on just 8 watts of edge compute. Offered via a Data-as-a-Service (DaaS) model, Cron AI makes real-time 3D intelligence easy to deploy and scale. https://cronai.ai/
About Innoviz Technologies
Innoviz is a global leader in LiDAR technology, serving top-tier automotive and industrial partners. Its solid-state LiDAR sensors and software meet the highest standards for safety, performance, and reliability — and are trusted worldwide across transport, defense, and autonomous systems. www.innoviz.tech
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Media Contact
Media@innoviz-tech.com
Investor Contact
Investors@innoviz-tech.com
Footnotes & Sources
¹ Grand View Research – India Perimeter Security Market Outlook
² Astute Analytica via GlobeNewswire – India ITS Market Forecast
³ See: Indian Railways CapEx Budget, DFCCIL Project, Kavach – PIB
⁴ Cron AI internal market sizing estimate based on infrastructure deployment potential and edge–native perception opportunity
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, Innoviz's projected future operational and financial 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, and in the case of our forward-looking revenues, actual orders or actual payments, 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 convert design wins into definitive orders and the magnitude of such orders, the ability to identify and realize additional opportunities, potential changes and developments in the highly competitive LiDAR technology and related industries, and our expectations regarding the impact of the evolving conflict in
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SOURCE Innoviz Technologies