Most autonomous vehicle startups build a stack and then go looking for a vehicle. Imagry, a nine-year-old company out of San Jose and Haifa, is trying to do the opposite. Its pitch to automakers and transit operators is simple: use the vehicles you already build, and we will give you the software to make them drive themselves. No expensive LiDAR sensors, no pre-mapped high-definition road data, and no cloud dependency required [imagry.co]. It is a pragmatic, procurement-friendly bet on a cheaper, faster path to autonomy, and it is starting to find its way onto real roads.
Imagry’s core product is Imagry Cortex™, a vision-based software stack that uses standard automotive cameras and onboard compute to deliver what the company classifies as Level 3 and Level 4 autonomous driving [imagry.co]. The company calls its approach “Generative Autonomy,” an imitation-learning system trained to drive like a human, making decisions in real time based on what it sees rather than consulting a pre-loaded map. For a city transit agency looking to automate a bus route, or an automaker aiming to add hands-free highway capabilities, the promise is a lower bill of materials and the ability to deploy anywhere, immediately.
The Wedge: Cutting Out LiDAR and HD Maps
The autonomous driving industry has long been divided into two camps. One, exemplified by Waymo and many robotaxi startups, relies on a costly suite of sensors including LiDAR and pre-mapped, centimeter-accurate HD maps of every road. The other, championed by Tesla, uses cameras and AI alone. Imagry firmly plants its flag in the latter camp, but with a crucial B2B twist: it is not selling cars. It is selling a hardware-agnostic software license to the companies that do.
This creates a clear wedge into the automotive supply chain. By eliminating LiDAR and HD maps, Imagry argues it solves two critical bottlenecks: cost and scalability. The sensor suite is cheaper, and a vehicle equipped with Imagry’s software does not need to wait for a mapping team to chart a new city or a rural road. The system is designed to generalize from its training and handle unfamiliar environments on the fly [imagry.co]. For a procurement officer, the math is straightforward. The question is whether the performance and safety match the promise.
Traction on Two Fronts: Transit and Tier-1s
Imagry’s commercial strategy is advancing on parallel tracks, a common tactic for autonomy companies seeking revenue while pursuing the long-term passenger car dream. The most tangible progress is in public transit. In Israel, Imagry received the first permit to operate an autonomous bus on urban public roads and has launched what it calls the first commercial Autonobus™ service [imagry.co]. This is a classic beachhead: a controlled, repeatable route in a supportive regulatory environment that serves as a proof-of-concept for municipal buyers worldwide.
The more strategically significant traction, however, is with automotive suppliers. In 2025, Imagry announced a strategic partnership with Continental, the world’s third-largest Tier-1 automotive supplier [autotechoutlook.com, 2025]. This is the kind of deal that validates the “hardware-agnostic” pitch. Continental can integrate Imagry Cortex into its own automotive compute platforms and offer it as a bundled solution to its global roster of OEM customers. Imagry also claims its software has been selected by unnamed Tier-1s and OEMs to support Level 3 features in passenger vehicles and Level 4 in heavy-duty electric buses [fox59.com].
| Business Segment | Target Customer | Product Offering | Key Claim |
|---|---|---|---|
| Public Transit | Municipal transit agencies, shuttle operators | Level 4 autonomous bus/shuttle software | First permit for autonomous bus on Israeli public roads [imagry.co] |
| Automotive | OEMs & Tier-1 suppliers (e.g., Continental) | Level 3/4 software stack for integration | Hardware-agnostic, runs on standard ECUs & cameras [ai-online.com, 2024] |
| Fleet Operations | Logistics & mobility fleet operators | Mapless autonomy for known/unknown routes | Technology powers vehicles across multiple continents [imagry.co] |
The Team and the Long Haul
Founded in 2015 by Adham Ghazali and Majed Jubeh, Imagry predates the current frenzy of AI-driven autonomy startups [Wikipedia]. The company has raised a total of $60 million in funding, though the details of its rounds are not fully disclosed in public press [Wikipedia]. With an estimated 51-200 employees split between San Jose and its R&D center in Haifa, it operates at a scale that suggests serious engineering depth [LinkedIn][ZoomInfo.com]. The multi-continent footprint,with test vehicles reported in the U.S., Germany, Japan, and Israel,is a necessary expense for a company whose product must handle diverse driving conditions and regulations [imagry.co].
Longevity in this capital-intensive field is itself a signal. Surviving from 2015 to 2024 means Imagry has navigated multiple hype cycles and funding winters. The company’ ability to attract a partner like Continental suggests its technology has progressed beyond the prototype stage and into the arduous integration and validation phase required by the auto industry.
The Realistic Competitive Set
Imagry does not compete with robotaxi companies. Its realistic competitive set consists of other B2B software providers selling autonomy stacks to vehicle makers. This includes:
- Momenta: A Chinese company focused on full-stack autonomous driving solutions with a strong emphasis on data-driven iteration.
- Helm.ai: A U.S.-based startup developing “deep teaching” software for automotive ADAS and autonomy, also with a focus on reducing reliance on labeled data.
- Embedded Craft: A Polish firm specializing in embedded AI and computer vision for automotive.
Imagry’s differentiation in this group rests on its explicit mapless, LiDAR-free architecture and its early focus on commercializing in the transit segment. The competitive moat, if it exists, will be built on the cumulative real-world driving data from its growing fleet of deployed vehicles, which it uses to continuously improve its models via over-the-air updates [imagry.co].
Where the Wheels Could Come Off
The bet on vision-only autonomy is still just that,a bet. The industry debate over sensor suites is unresolved, and many regulators and insurers remain cautious about systems without LiDAR’s redundant depth perception. Imagry’s claims of technology “powering transit and fleet vehicles across multiple continents” are broad and lack specific, named customer deployments for third-party verification [imagry.co]. Furthermore, the path to profitability in automotive software is long and fraught; sales cycles are measured in years, and achieving meaningful revenue from passenger car programs likely requires scaling to volume production, a milestone still ahead.
The company’s most plausible answer to these risks is its partnership-led approach. By embedding its software within Continental’s offerings, it leverages an established sales channel and credibility. The transit deployments, while smaller in scale, generate real-world data and case studies that can be used to de-risk decisions for larger automotive clients. The next twelve months will be critical for translating these early signals into announced production programs with OEMs.
Imagry’s ideal customer profile is not a tech enthusiast, but a procurement manager at a municipal transit authority or a platform director at a Tier-1 supplier. This customer is evaluating total cost of ownership, regulatory compliance, and deployment speed. They are skeptical of science projects and need a system that works with their existing vehicle designs and supply chains. For them, Imagry’s pitch is a spreadsheet argument first, a technology marvel second. The company’s success hinges on proving that its column of the spreadsheet,lower hardware cost, faster time-to-route,doesn’t come with an unacceptable trade-off in the safety and performance columns. If it can, the mapless road might just be the faster one.
Sources
- [imagry.co] Imagry Company Website | https://imagry.co
- [ai-online.com, 2024] Imagry AI Driver is a vision-based software stack | https://ai-online.com
- [autotechoutlook.com, 2025] Imagry's strategic partnership with Continental | https://autotechoutlook.com
- [fox59.com] Imagry's system selected by Tier-1s and OEMs | https://fox59.com
- [Wikipedia] Imagry company overview and funding total | https://en.wikipedia.org/wiki/Imagry
- [LinkedIn] Imagry company size and profile | https://www.linkedin.com/company/imagry
- [ZoomInfo.com] Imagry company size data | https://zoominfo.com