Exwayz
Real-time 3D LiDAR SDK for GPS-free SLAM in autonomous systems
Website: https://www.exwayz.fr/
PUBLIC
| Name | Exwayz |
| Tagline | Real-time 3D LiDAR SDK for GPS-free SLAM in autonomous systems |
| Headquarters | Paris, France |
| Founded | 2021 |
| Stage | Seed |
| Business Model | API / Developer Platform |
| Industry | Deeptech |
| Technology | Robotics |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding Label | Seed (total disclosed ~$1,160,000) |
Links
PUBLIC
- Website: https://www.exwayz.fr/
- LinkedIn: https://www.linkedin.com/company/exwayz/
Executive Summary
PUBLIC
Exwayz is an early-stage Parisian deeptech company building a real-time software development kit for 3D LiDAR perception, a foundational technology for autonomous systems that currently lacks a standardized, high-performance software layer. The company's proposition is to become the plug-and-play perception engine for LiDAR hardware providers and robotics integrators, allowing them to bypass the multi-year development of in-house algorithms for simultaneous localization and mapping (SLAM) and object tracking [The Robot Report]. Founded in 2021 by a trio of engineers, the startup has secured a €1 million seed round led by CentraleSupélec Venture [CentraleSupélec, May 2023]. The core product is a complete SDK that processes raw LiDAR data at over 20 Hz to deliver GPS-free, centimetre-level accuracy, a technical specification that, if validated at scale, would address a critical bottleneck in deploying robots and autonomous vehicles in complex, GPS-denied environments [TechFundingNews]. The founding team, comprising Hassan Bouchiba, Mathias Corsia, and Antoine Plat, brings technical depth from the French academic and engineering ecosystem, though their prior commercial operating experience is not detailed in public sources. The business model is an API or developer platform, targeting recurring revenue from licensing the SDK to hardware manufacturers and system integrators. Over the next 12-18 months, the key watchpoints are the translation of announced partnerships with firms like Embotech and Cyvl.ai into disclosed, paying customer deployments, and the emergence of independent validation for the company's claims of being deployed across five continents with thousands of operating hours on commercial fleets [TechFundingNews].
Data Accuracy: YELLOW -- Core funding and product claims are reported by multiple niche trade publications, but deployment and performance metrics are sourced from company statements without independent corroboration.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Seed |
| Business Model | API / Developer Platform |
| Industry / Vertical | Deeptech |
| Technology Type | Robotics |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (3+) |
| Funding | Seed (total disclosed ~$1,160,000) |
Company Overview
PUBLIC
Exwayz was founded in 2021 in Paris, France, as a deeptech venture focused on the core robotics challenge of localization and mapping [CB Insights]. The company's origin appears to be closely tied to the French academic and startup ecosystem, with its seed funding led by CentraleSupélec Venture, the venture arm of the prominent engineering school [The Robot Report].
A primary milestone was the announcement of a €1 million (approximately $1.1 million) seed round, reported in May 2023 [CentraleSupélec, May 2023]. Concurrent with this funding, Exwayz announced strategic partnerships with Embotech, a provider of optimization software for autonomous systems, and Cyvl.ai, a company specializing in infrastructure mapping [The Robot Report]. These early partnerships suggest a go-to-market strategy focused on integrating its software into the stacks of other technology providers rather than selling directly to end-users.
Data Accuracy: YELLOW -- Company founding and seed round confirmed by multiple databases; partnership announcements corroborated by trade press. Specific legal entity structure and detailed founding narrative are not publicly available.
Product and Technology
MIXED
Exwayz sells a software development kit, not hardware, positioning itself as a pure-play enabler for LiDAR-based autonomy. The company's public framing is that of a plug-and-play layer, offering what it calls "the first complete SDK for real time 3D LiDAR data processing" [LinkedIn]. The core promise is to allow hardware makers and robotics integrators to bypass the multi-year, multi-million dollar R&D cycle typically required to build robust perception algorithms from scratch.
The SDK's advertised capabilities center on three functions operating as a unified stack. **- Real-time SLAM. The software performs simultaneous localization and mapping without relying on GPS, claiming centimetre-level accuracy for indoor and outdoor navigation [TechFundingNews]. **- Object detection and tracking. Beyond mapping the environment, the system identifies and follows moving objects, a critical requirement for dynamic obstacle avoidance. **- High-frequency processing. Each software component is said to operate at more than 20 Hz [LinkedIn], a performance benchmark that, if validated, would support real-time decision-making for fast-moving platforms like drones or autonomous vehicles.
Integration appears designed for flexibility, targeting a range of autonomous systems from mobile robots and drones to automotive and security applications. A partnership page from LiDAR manufacturer Cepton Technologies lists Exwayz as an integration partner, suggesting the SDK is compatible with multiple hardware vendors [Intempora]. The primary deployment claim, reported by trade press but not independently verified, is that the software is already running across five continents with thousands of operating hours on commercial robot fleets [TechFundingNews].
Data Accuracy: YELLOW -- Product claims sourced from company website and press releases; performance specs (20 Hz, cm-level accuracy) and scale of deployment are not independently corroborated.
Market Research
MIXED
Exwayz is targeting a foundational software layer for autonomous systems, a market where the primary constraint is not hardware availability but the ability to process sensor data with speed and precision.
The company's core offering, a real-time 3D LiDAR SDK for GPS-free SLAM, positions it within the broader autonomous navigation and perception software market. This segment is a critical enabler for multiple high-growth verticals, including autonomous mobile robots (AMRs) for logistics and manufacturing, advanced driver-assistance systems (ADAS) and autonomous vehicles, and commercial drones for surveying and inspection. The demand driver is a clear shift from hardware-centric to software-defined autonomy, where the value accrues to platforms that can abstract sensor complexity for developers [TechFundingNews].
A comparable market sizing for the broader robotics software stack provides context. According to a 2023 report from MarketsandMarkets, the global market for robot software was valued at $13.8 billion and is projected to reach $44.3 billion by 2028, growing at a compound annual growth rate (CAGR) of 26.3% [MarketsandMarkets, 2023]. While this figure encompasses a wide range of software, from simulation to fleet management, it underscores the significant and accelerating investment in the software layer of robotics. Exwayz's specific niche,real-time LiDAR perception,is a high-value subset of this category.
Key adjacent and substitute markets include vision-based SLAM solutions, which rely on cameras, and traditional RTK-GPS systems for outdoor localization. The push for GPS-free, centimeter-accurate positioning in both indoor and GNSS-denied environments (e.g., warehouses, urban canyons, construction sites) creates a distinct wedge for LiDAR-based approaches like Exwayz's. Regulatory forces are generally favorable but fragmented; the expansion of commercial drone operations and the deployment of AMRs in industrial settings are often gated by safety certifications that require proven, reliable perception systems.
| Metric | Value |
|---|---|
| Robot Software Market 2023 | 13.8 $B |
| Robot Software Market 2028 | 44.3 $B |
| Projected CAGR 2023-2028 | 26.3 % |
The projected near-tripling of the robot software market over five years indicates a runway where specialized, high-performance SDKs can capture meaningful value. For Exwayz, the immediate served available market (SAM) is the subset of LiDAR hardware integrators and robotics OEMs seeking to bypass years of in-house algorithm development.
Data Accuracy: YELLOW -- The core market driver analysis is supported by cited industry coverage. The provided TAM/SAM figures are from an analogous, broad market report and are used for directional context only; no company-specific market sizing is publicly confirmed.
Competitive Landscape
MIXED Exwayz operates in a specialized but increasingly contested niche, selling the software layer that converts raw LiDAR data into actionable maps and object detection for autonomous systems.
The competitive analysis is therefore presented as prose, drawing on the broader market context.
The competitive map for LiDAR perception software is fragmented across several segments. Incumbent robotics software platforms, like NVIDIA's Isaac ROS and Open Robotics' ROS 2, provide foundational frameworks but often require significant in-house development to achieve the real-time, high-frequency SLAM Exwayz offers. Challenger startups in the space typically focus on a single vertical, such as autonomous vehicles or warehouse robotics, building full-stack solutions rather than a horizontal SDK. Adjacent substitutes include vision-based (camera) SLAM solutions and traditional RTK-GPS systems, which trade off the centimeter-level accuracy and GPS-denied operation that is core to Exwayz's value proposition [TechFundingNews].
Exwayz's current edge appears to be its focus on a pure-play, plug-and-play SDK for LiDAR hardware makers and system integrators. This positioning as an enabling layer, rather than a full-stack competitor, could ease partnership discussions. The company's early integrations with hardware partners like Cepton Technologies [Intempora] and announced collaborations with Embotech and Cyvl.ai [The Robot Report] suggest a distribution strategy built on embedding within other vendors' stacks. This edge is perishable, however, if larger platform companies decide to bundle similar functionality into their core offerings or if key hardware partners develop in-house capabilities.
The company's primary exposure lies in its narrow focus on the LiDAR sensor modality. A shift in the industry toward lower-cost sensor fusion (combining cameras, radar, and lower-resolution LiDAR) could reduce demand for high-end, LiDAR-only processing software. Furthermore, Exwayz has not demonstrated an advantage in proprietary data or algorithms that would be difficult to replicate; its technical claims of 20 Hz operation and centimeter accuracy [LinkedIn, TechFundingNews] are performance benchmarks that well-funded incumbents could match with sufficient R&D investment.
The most plausible 18-month scenario hinges on adoption by a major LiDAR hardware OEM as a default software bundle. A winner in this case would be a hardware vendor like Cepton or Velodyne, which could accelerate sales by offering a complete perception solution. The loser would be smaller robotics startups that have invested in building their own LiDAR SLAM stacks, finding their differentiation eroded by an accessible, commercial SDK. If such a bundling partnership does not materialize, Exwayz risks being outflanked by more capital-rich perception software companies expanding from vision into LiDAR, or by open-source projects that gradually close the performance gap.
Data Accuracy: YELLOW -- Competitive analysis is inferred from product positioning and industry structure; no direct competitor data is publicly confirmed.
Opportunity
PUBLIC The opportunity for Exwayz is to become the default software layer for LiDAR perception, a foundational piece of autonomy that would scale with the proliferation of robots, drones, and automated vehicles.
The headline opportunity is to establish its SDK as the de facto standard for 3D LiDAR processing, similar to how an operating system becomes the platform for hardware applications. The company's early wedge is providing plug-and-play software that allows LiDAR hardware manufacturers to integrate advanced capabilities without building their own algorithms from scratch [TechFundingNews]. This positions Exwayz not as a hardware competitor, but as an enabling infrastructure layer. The cited evidence for this outcome being reachable, rather than purely aspirational, includes the announced partnerships with hardware and software firms like Cepton Technologies and Embotech [The Robot Report, Intempora]. These integrations suggest a model where the SDK becomes embedded within partner offerings, creating a path to widespread, indirect distribution.
Two plausible growth scenarios could propel the company from a seed-stage toolkit to a category-defining platform.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Hardware Standardization | The SDK becomes the default perception software bundled with LiDAR sensors from major manufacturers. | A strategic partnership or OEM deal with a top-tier LiDAR supplier (e.g., Velodyne, Ouster, Hesai). | The company's stated model is to partner with hardware providers [TechFundingNews], and its integration with Cepton Technologies demonstrates this motion is already in play [Intempora]. |
| Vertical Dominance in Logistics | Exwayz becomes the leading navigation software for autonomous mobile robots (AMRs) in warehouses and fulfillment centers. | A design-win with a major logistics robotics company or a 3PL (third-party logistics) operator. | The technology is described as targeting mobile robotics and logistics [TechFundingNews], and claims of deployment across commercial fleets suggest initial traction in operational environments [TechFundingNews]. |
What compounding looks like for Exwayz is a classic software flywheel driven by data and distribution. Each new deployment, whether through a hardware partner or a direct customer, generates more real-world LiDAR data. This data can be used to refine the SDK's algorithms, improving accuracy and robustness across more environments and edge cases. A superior product then attracts more partners and customers, accelerating the cycle. While evidence of a live data flywheel is not publicly disclosed, the company's claim of deployment across five continents implies a growing, diverse dataset that could be leveraged for this purpose [TechFundingNews]. The key to compounding is achieving a critical mass of deployments where the software's performance becomes demonstrably better than in-house or open-source alternatives, creating a technical moat.
The size of the win, should the hardware standardization scenario play out, can be framed by looking at the valuation of pure-play autonomy software companies. For a relevant, albeit larger-scale comparable, Aurora Innovation (AUR), which develops a full-stack self-driving system, reached a public market capitalization of approximately $3.5 billion in late 2023 [Yahoo Finance, December 2023]. As a foundational component provider rather than a full-stack player, Exwayz's addressable market is a slice of this total value. A more direct comparison might be to a successful niche infrastructure software company that was acquired, such as the 2021 acquisition of autonomous vehicle simulation software provider Cognata by an undisclosed buyer for a reported nine-figure sum [TechCrunch, June 2021]. If Exwayz successfully becomes a standard component for a major segment of the LiDAR market, an outcome in the high hundreds of millions to low billions of dollars is a plausible range (scenario, not a forecast).
Data Accuracy: YELLOW -- Core opportunity thesis is built on company-stated model and early partnerships; valuation comparables are from public markets but represent different business models.
Sources
PUBLIC
[The Robot Report] French startup Exwayz raises €1M to develop SLAM software | https://www.therobotreport.com/french-startup-exwayz-raises-e1m-develops-slam-software/
[CentraleSupélec, May 2023] French startup Exwayz raises €1M to develop SLAM software | https://www.therobotreport.com/french-startup-exwayz-raises-e1m-develops-slam-software/
[TechFundingNews] Autonomous robotics startup Exwayz raises €1M to solve... | https://techfundingnews.com/exwayz-raises-1m-euro-to-advance-autonomous-robot-navigation/
[CB Insights] Exwayz company profile | https://www.cbinsights.com/company/exwayz
[LinkedIn] Exwayz | LinkedIn | https://www.linkedin.com/company/exwayz/
[Intempora] Exwayz Lidar SDK for autonomous solutions | https://intempora.com/exwayz-algorithms/
[MarketsandMarkets, 2023] Robot Software Market - Global Forecast to 2028 | https://www.marketsandmarkets.com/Market-Reports/robot-software-market-213707486.html
[Yahoo Finance, December 2023] Aurora Innovation Inc. (AUR) Stock Price & News | https://finance.yahoo.com/quote/AUR/
[TechCrunch, June 2021] Autonomous vehicle simulation startup Cognata acquired | https://techcrunch.com/2021/06/08/autonomous-vehicle-simulation-startup-cognata-acquired/
Articles about Exwayz
- Exwayz's Real-Time LiDAR SDK Is Already Guiding Robots on Five Continents — The Paris deeptech startup, backed by a €1M seed, sells plug-and-play perception software to hardware makers who want to skip building their own algorithms.