The automotive supply chain has long been dominated by large Tier 1s and global engineering services providers. While these are still highly relevant, there is a new wave of AI-native suppliers gaining a strong foothold among major OEMs, especially when it comes to work around self-driving and autonomy. Below, we have listed 10 New Age Suppliers for Automotive, and their latest partnerships, funding, data and more.

In no specific order, below is a list of 10 New Age Suppliers to watch in 2026. The criteria for getting onto the list is for company has to have major ambition within the autonomy development stack, and public OEM or similar partnerships.

Applied Intuition was founded in 2017 by Qasar Younis and Peter Ludwig, both formerly at Google, on a founding thesis that the real bottleneck in autonomous driving was not algorithms but the development infrastructure underneath them: simulation, data, and dev tools that let OEMs actually ship software-defined vehicles.
That conviction proved right. From an initial simulation product, the company expanded into a full Vehicle OS and onboard autonomy stack, landing Porsche, Audi, Toyota, Traton and Stellantis in succession. The 2025 launch of Axion and Acuity, combined with a $171M US DoD CDAO production contract, opened an entirely new defense business running on the same core toolchain as the automotive franchise, a rare case of one platform unlocking two multi-billion-dollar markets. The June 2025 Series F at a $15B valuation confirmed Applied Intuition as the most valuable independent automotive software supplier of this cycle.

Wayve was founded in 2017 in Cambridge, UK by Alex Kendall and Amar Shah, both deep-learning PhDs from the University of Cambridge. The founding bet was deliberately unfashionable: a single end-to-end neural network that learns to drive from data, rather than the modular perception–prediction–planning stack everyone else was building.
That thesis became mainstream when foundation models did. The SoftBank-led $1.05B Series C in May 2024 was the first time a Western AV company outside the US had raised at that scale, and the Feb 2026 Series D added Stellantis, Nissan and Mercedes as both investors and customers. The road ahead is concrete: shipping inside STLA AutoDrive in Stellantis vehicles from 2028, entering Nissan production cars in Japan from 2027, and running an L4 robotaxi pilot with Uber in London that scales to ten or more markets. Few AV companies have turned investor conviction into OEM production commitments this quickly.

Hesai was founded in 2014 in Shanghai by Stanford-trained engineers David Yifan Li, Kai Sun and Shaoqing Xiang, who initially built laser-based gas detection systems before pivoting to automotive lidar in 2017 as the ADAS market took shape in China. Their playbook has been disciplined from the start: drive cost down faster than any competitor, win every Chinese ADAS design win available, and use that volume base to attack Western premium programs.
It's working. By 2025, Hesai claimed 100+ design wins across 21 OEMs, with the ATX in mass production and a ~43% global share of long-range ADAS lidar. The Toyota and Mercedes L3 wins followed, and a second European OEM contract for over one million units in May 2026 puts Hesai on a trajectory to become the global default lidar supplier, much as Bosch became the default for ABS. The Nasdaq IPO in 2023 and subsequent Hong Kong secondary listing in 2025 have given the company the capital structure to back that ambition.

Hashlist was founded in 2020 by William Engblom and Calle Unnérus to connect the world's leading engineering experts with the vehicle programs that need them most. Since then, major OEMs have signed on, using the platform globally to deploy specialised expertise across their programs.
The timing is no accident. As OEMs consolidate distributed ECUs into zonal architectures, the biggest bottleneck is no longer silicon or software, it's finding engineers who can operate across both. With over 100,000 domain experts across 30+ countries and onboarding measured in weeks rather than months, Hashlist has built the execution layer the SDV transition actually needs. The next step: opening the platform to the broader vehicle and semiconductor industry.

Waabi was founded in 2021 in Toronto by Raquel Urtasun, formerly Chief Scientist at Uber's Advanced Technologies Group and a professor of computer science at the University of Toronto. After Uber exited ATG, Urtasun built Waabi around a clean-slate thesis: train the autonomous driver inside a generative simulator, Waabi World, at scale, let the model learn from synthetic experience, and ship a single AI model, the Waabi Driver, that generalises across vehicle platforms.
The thesis is now in production. The Feb 2025 Volvo Autonomous Solutions partnership and the October 2025 unveiling of the dual-redundant Volvo VNL Autonomous truck validated the trucking approach; the January 2026 Series C of $750M, the largest tech raise in Canadian history, brought in Uber, NVIDIA, Volvo Group, Porsche SE and BlackRock as participants. The next 12–18 months: driver-out commercial trucking with the Volvo VNL Autonomous between Dallas and Houston, and the rollout of 25,000+ Waabi-powered robotaxis on the Uber platform.

Pony.ai was founded in 2016 by James Peng and Tiancheng Lou, both formerly of Baidu, with operations split from day one between Fremont, CA and Guangzhou, China. The company spent its first six years operating robotaxi services in Chinese Tier-1 cities, building the data flywheel that now feeds its Virtual Driver.
The decisive strategic shift came around 2023, when Pony.ai pivoted from operating its own fleet to licensing its stack into mass-produced robotaxis built with Toyota, GAC and BAIC. The Nasdaq IPO in November 2024 raised $260M at a ~$4.6B fully diluted valuation, and the first mass-produced bZ4X Robotaxi rolled off the GAC-Toyota line in February 2026, with the Gen-7 platform BOM down 70% versus Gen-6. The near-term arc is ambitious: 1,000+ robotaxis on Chinese roads in 2026, 3,000 by year-end, and expansion into Europe via Bolt and Southeast Asia via ComfortDelGro.

Sonatus was founded in 2018 in Sunnyvale by Jeff Chou and Yu Fang, with a founding thesis rooted in networking and the data centre: cars were starting to look like distributed cloud platforms, software-defined, OTA-updatable, with intelligence at the edge, but the auto industry lacked the network-software DNA to build the operating layer. Hyundai Motor Group came in early as both investor and anchor customer.
That early bet has compounded into production scale. Digital Dynamics is now live across Hyundai, Kia and Genesis, with over 6 million vehicles on the road by end-2025. The 2024–2025 expansion added Stellantis and a Nissan Technical Centre Europe agreement in December 2025, alongside the launch of the generative-AI-powered AI Director at IAA Mobility 2025 to manage vehicle-edge AI models across the fleet. The trajectory is to become the SDV middleware that every multi-OEM platform relies on, the automotive parallel to what VMware was to enterprise compute.

Aeva was founded in 2017 in Mountain View by Soroush Salehian and Mina Rezk, both alumni of Apple's Special Projects Group, the team behind Project Titan. Their founding bet was that frequency-modulated continuous-wave (FMCW) lidar, which measures range and instantaneous velocity in a single shot ("4D" sensing), would ultimately beat the time-of-flight architectures everyone else was scaling. That thesis was contested for years, and after going public via SPAC in March 2021, Aeva spent the lidar downturn proving production-readiness while peers shrank.
December 2025 was the inflection point: an exclusive global lidar supply contract with a top-10 European passenger OEM for an L3 vehicle platform with SOP in 2028, alongside the Daimler Truck Freightliner Cascadia program shipping in 2026. Those wins validate the FMCW differentiation in the most competitive segment of the market, passenger car L3. The forward arc is about converting that exclusive into production volume and using the velocity-sensing advantage to accumulate the second and third design wins that justify the long build-up.

May Mobility was founded in 2017 in Ann Arbor by Edwin Olson, Alisyn Malek and Steve Vozar, bringing together a University of Michigan robotics professor, a former GM Ventures executive, and a Ford AV engineer. The founding wedge was deliberate and pragmatic: skip consumer cars and pure robotaxi, and instead deploy slow, geo-fenced autonomous microtransit services that cities and transit agencies actually want, running on Toyota's Sienna and later e-Palette platforms.
The model has graduated from demonstration to deployment. NTT's $105M-led Series D and exclusive Japan distribution agreement, Lyft's multi-year deal in November 2024, and the first commercial driver-out service in Peachtree Corners, GA in February 2025 confirmed the approach works. The next 18 months are about scaling: the Lyft Atlanta robotaxi service, driverless Toyota e-Palettes at Toyota Motor Kyushu in Japan, and the Tecnobus minibus platform rolling out across European transit agencies, a playbook that turns municipal demand into genuine autonomous scale.

Sila Nanotechnologies was founded in 2011 by Gene Berdichevsky, Tesla's seventh employee and principal engineer on the original Roadster battery pack, alongside Gleb Yushin and Alex Jacobs. The founding bet was a long one: replace the graphite anode that has dominated lithium-ion cells since the 1990s with a silicon-dominant composite, and do it as a drop-in materials supplier so OEMs and cell makers wouldn't need to redesign their cell architectures.
Sila spent more than a decade in R&D, shipping silicon-anode material into consumer electronics to prove the chemistry at production scale while quietly raising over $1.3B across thirteen rounds. In September 2025 the company opened the first US automotive-scale silicon anode plant in Moses Lake, WA, a 600,000+ sq ft facility on a 160-acre site, backed in part by a $100M Department of Energy grant, with the Mercedes-Benz electric G-Class as its launch automotive customer. The trajectory now is to ramp Moses Lake toward an eventual 250 GWh, scale Mercedes volumes through 2026–27, and convert a long list of OEM evaluation programs into the second and third platform wins that justify the build-out.
OEMs and vehicle companies across all domains are viewing the space of software and autonomy as a key pillar of their core strategy in 2026. This has created an opening for an impressive amount of New Age suppliers to partner with, to get work done faster, and at scale.