Sensmore
Physical AI and automation systems for autonomous heavy machinery in raw material operations.
Website: https://www.sensmore.ai/
Cover Block
Public sources
| Attribute | Value |
|---|---|
| Company Name | Sensmore |
| Tagline | Physical AI and automation systems for autonomous heavy machinery in raw material operations. |
| Headquarters | Berlin, Germany |
| Founded | 2022 |
| Stage | Series A |
| Business Model | Hardware + Software |
| Industry | Deeptech |
| Technology | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Series A (total disclosed ~$7,300,000) |
Links
Public sources
- Website: https://www.sensmore.ai/
- LinkedIn: https://www.linkedin.com/company/sensmore
Executive Summary
PUBLIC Sensmore is a Berlin-based deeptech startup that retrofits heavy machinery in mining and construction with a proprietary AI and radar system, aiming to solve a persistent bottleneck in raw material extraction: reliable automation in harsh, low-visibility environments [sensmore, May 2025]. The company, founded in 2022, has moved from concept to commercial deployment, securing its Series A round of $7.3 million in May 2025 led by Point Nine Capital and establishing production rollouts with major European operators like Cemex and Lhoist [Tech.eu, May 2025] [International Mining, June 2026]. Its core wedge is a hardware-plus-software platform that uses 4D imaging radar and Vision-Language-Action Models (VLAMs) to enable what it terms 'zero-shot autonomy,' allowing machines to perform complex load-and-carry tasks without site-specific training, a claim that differentiates it from vision- or LiDAR-dependent systems [sensmore, 2026].
The founding team, led by CEO Maximilian Rolf and CTO Bjarne Johannsen, brings technical credibility from backgrounds in autonomous driving and radar at companies like Mercedes-Benz and ZF, as well as academic engagement through events like the IEEE ICRA conference [PERPLEXITY SONAR PRO BRIEF, retrieved 2026]. Their business model combines the sale of retrofitting hardware with recurring software revenue, targeting fleet operators in capital-intensive industries where labor shortages and safety mandates are acute. Over the next 12-18 months, the key watchpoints will be the scalability of its 'full-system' deployments beyond initial lighthouse customers, the technical validation of its autonomy claims across a wider variety of machines and sites, and its ability to convert pilot projects into expanding, multi-machine contracts.
Independently corroborated -- Company claims and funding details are corroborated by multiple independent press reports and investor announcements.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Series A |
| Business Model | Hardware + Software |
| Industry / Vertical | Deeptech |
| Technology Type | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Series A (total disclosed ~$7,300,000) |
How the Company Got Here
Public sources Sensmore emerged from the Berlin and Potsdam technical ecosystem in 2022, founded with the explicit aim of applying advanced AI to the physical world of heavy industry. The company’s origin is tied to the Entrepreneur First accelerator program, which it participated in that same year [Entrepreneur First]. Its headquarters are established in Berlin, Germany, with a technical presence in nearby Potsdam, a region known for its concentration of robotics and AI research institutions [sensmore, 2026].
The company’s public trajectory shows a focus on moving from concept to on-site validation with notable speed. A key early milestone was securing public co-financing from the European Union and the State of Brandenburg, which provided non-dilutive capital to support its initial technology development [sensmore, 2026]. This was followed by its first major commercial validations, completing full system rollouts at several large European open-pit sites for customers including Lhoist [Tech.eu, May 2025]. The most significant financial milestone to date is a $7.3 million Series A funding round, led by Point Nine Capital and announced in May 2025, which the company stated would be used to scale its technology and team [sensmore, May 2025].
Independently corroborated -- Confirmed by company website and multiple press reports.
Product and Technology
Sources and analysis
Sensmore's core proposition is a retrofit system that aims to convert existing heavy mobile machinery into autonomous, self-reasoning robots, a claim the company makes explicitly [sensmore, 2026]. The platform is a full-stack integration of hardware and proprietary AI software, designed to automate complex tasks like load-and-carry cycles and collision avoidance in the harsh, unstructured environments of quarries and mines [PERPLEXITY SONAR PRO BRIEF, retrieved 2026]. The company's public product suite includes Machine Assist, a safety-focused collision warning system, and Loader Automation, which promises fully automated load and carry capabilities with what the company terms 'zero-shot autonomy' [sensmore, 2026].
The technology stack is built around a sensor fusion approach that prioritizes radar. The company integrates cameras with 4D imaging radar, arguing that radar is essential for reliable perception in conditions where cameras and LiDAR fail, such as dust, mud, and low visibility [sensmore, retrieved 2026]. The AI layer increasingly incorporates Vision-Language-Action Models (VLAMs) for perception, reasoning, and real-time control, an architecture the company's CTO has presented at academic workshops [PERPLEXITY SONAR PRO BRIEF, retrieved 2026]. This focus on end-to-end learning models is intended to enable the system to adapt to new machines and sites without extensive prior training [EU-Startups, May 2025].
Deployment evidence, while not quantified, points to a working system integrated with customer operations. The company has completed full rollouts at several large European open-pit sites, with named customers including CEMEX and Lhoist [Tech.eu, May 2025]. A specific case study details a collaboration with CEMEX at the Rüdersdorf limestone quarry in Germany, where Sensmore's on-board edge devices and radar sensors on wheel loaders and haul trucks feed data into an optimization engine for loading and haulage [International Mining, June 2026]. A separate partnership with Heidelberg Materials aims to automate wheel loader operations at a sand and gravel site [International Mining, May 2026].
Independently corroborated -- Product claims and technology stack are confirmed by the company's website and multiple press reports. Deployment details are corroborated by industry publications.
Where the Demand Sits
Sources and analysis The market for automating heavy machinery is driven by a persistent shortage of skilled operators and the relentless pressure to improve safety and productivity in some of the world's most hazardous and capital-intensive industries.
Available public market sizing is not specific to the retrofitted autonomy segment Sensmore targets. Analysts project the broader market for autonomous construction and mining equipment to grow substantially. For instance, a report from MarketsandMarkets estimates the global autonomous construction equipment market will reach $14.7 billion by 2030, up from $9.6 billion in 2024, representing a compound annual growth rate of 7.4% [MarketsandMarkets]. This analogous market includes both new OEM-built autonomous machines and retrofit solutions. The retrofit segment, which aligns with Sensmore's model, is often cited as the faster-growing pathway to adoption due to the vast existing fleet of machinery and the high cost of replacement.
Demand tailwinds are well-documented across industry publications. A severe and chronic shortage of qualified heavy equipment operators is a primary catalyst, limiting operational capacity and driving up labor costs [International Mining]. Concurrently, the push for improved safety is a non-negotiable driver; industries like mining and quarrying have among the highest rates of workplace fatalities, creating immense regulatory and financial pressure to remove humans from the most dangerous tasks [International Mining]. The third major driver is the pursuit of operational efficiency. Autonomous systems can operate continuously, optimize fuel and wear, and provide consistent, data-driven performance, directly impacting the bottom line for raw material producers where margins are tied to volume and throughput [Geomechanics.io, June 2026].
Adjacent and substitute markets influence the opportunity. The most direct substitute is the continued use of manual labor, but its viability is eroding due to the aforementioned labor shortages. Another substitute is the purchase of new, factory-autonomous machinery from original equipment manufacturers (OEMs) like Caterpillar or Komatsu. This path requires significant capital expenditure and fleet replacement, a slower process that favors Sensmore's retrofit approach for existing fleets. Adjacent markets include fleet telematics and basic collision avoidance systems, which Sensmore's platform aims to subsume and enhance with full autonomy capabilities.
Regulatory and macro forces present a mixed picture. Stricter safety regulations in the European Union and other jurisdictions can act as a tailwind, mandating advanced safety systems that Sensmore's technology provides [sensmore]. However, the capital-intensive nature of mining and construction means adoption cycles are closely tied to commodity prices and broader economic cycles; a downturn can freeze capital expenditure on new technology. Environmental regulations pushing for reduced emissions and more sustainable extraction practices also create an indirect tailwind, as autonomous systems can optimize for fuel efficiency.
| Metric | Value |
|---|---|
| Global Autonomous Construction Equipment Market (2024) | 9.6 $B |
| Projected Market Size (2030) | 14.7 $B |
| Compound Annual Growth Rate (2024-2030) | 7.4 % |
The projected growth of the broader autonomous equipment market, while not specific to retrofits, indicates a significant and expanding addressable opportunity. The 7.4% CAGR suggests steady, not explosive, growth, reflecting the measured adoption pace typical of heavy industries.
Lightly corroborated -- Market sizing is from an analogous, broader sector report. Demand drivers are corroborated by multiple industry sources.
Competitive Landscape
Sources and analysis Sensmore enters a competitive arena defined by the gradual, high-stakes automation of heavy industry, where its radar-centric, full-system approach carves out a specific niche against both established players and newer startups. The competitive map is segmented by technology stack, go-to-market model, and target application, creating a complex environment where Sensmore's success depends on executing within its chosen wedge.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Sensmore | Full-system automation platform retrofitting existing heavy machinery with radar and AI for autonomous load-and-carry in harsh environments. | Series A ($7.3M, May 2025) | Radar-first perception for adverse conditions; zero-shot autonomy claims; full-stack provider integrating hardware, software, and site infrastructure. | [sensmore, May 2025] |
| Built Robotics | Automation kits for excavators and dozers, primarily in earthmoving and construction. | Series C ($64M, 2022) | Focus on North American construction market; established deployment track record; strong venture backing. | [Crunchbase] |
| SafeAI | Autonomous retrofit kits for mining and construction heavy equipment. | Series B ($21M, 2023) | Partnerships with major OEMs (Caterpillar, Obayashi); focus on safety and productivity in mining. | [Crunchbase] |
| Teleo | Teleoperation and autonomy solutions for construction and mining equipment. | Series A ($12M, 2022) | Hybrid teleoperation/autonomy model; emphasis on remote control as a stepping stone to full autonomy. | [Crunchbase] |
The competitive landscape can be divided into three primary layers. First, the full-stack automation providers like Built Robotics, SafeAI, and Sensmore, which offer retrofit kits combining hardware and software. Built Robotics has a head start in construction, while SafeAI has forged critical OEM partnerships. Second, the teleoperation-first players like Teleo, which prioritize human-in-the-loop control as an intermediate step. Third, the adjacent substitutes, including large industrial incumbents like Caterpillar and Komatsu developing their own autonomous systems, and specialized sensor companies whose perception stacks could be integrated by others. Sensmore's declared customers, CEMEX and Lhoist [Tech.eu, May 2025], operate in the raw materials extraction segment, which overlaps with but is distinct from general construction, placing it in direct contention with SafeAI and regional players like Beijing Yikong Zhijia.
Sensmore's current defensible edge is its technological focus on radar-driven perception for unstructured, low-visibility environments like quarries and open-pit mines. The company's public messaging consistently emphasizes radar's superiority over vision-only systems in dust, mud, and rain [sensmore]. This is a perishable edge, however. It depends on maintaining a lead in radar-specific AI model training and sensor fusion, and on competitors not adopting similar multi-modal stacks. A second, more structural edge is its positioning as a full-system provider that handles the entire retrofit and site integration process, a model that can create sticky customer relationships but requires significant on-the-ground operational capacity to scale.
The company's most significant exposure lies in its relatively limited capital base and geographic footprint compared to some rivals. With $7.3 million in Series A funding, its war chest is smaller than Built Robotics' $64 million or SafeAI's $21 million, which could constrain the pace of R&D and commercial expansion. Its early deployments are concentrated in Europe, leaving the large North American and Asian mining markets open to better-funded or locally entrenched competitors. Furthermore, the "zero-shot autonomy" claim,enabling machines to operate without prior site-specific training,represents a profound technical challenge [EU-Startups, May 2025]. Failure to deliver on this promise at scale would cede ground to competitors with more incremental, teleoperation-assisted approaches that may be slower but are perceived as lower risk.
The most plausible 18-month scenario involves continued segmentation by application and environment. A winner in the harsh-condition, raw-materials niche will likely be the company that first demonstrates reliable, multi-site deployments of fully autonomous load-and-carry cycles with clear ROI data. If Sensmore can expand its CEMEX and Lhoist pilots into broader fleet deployments and publish compelling productivity metrics, it could solidify its position as the specialist for European quarries and attract follow-on capital for geographic expansion. A loser in this period would be any player that remains a pure technology vendor without deep site integration capabilities, as customers increasingly demand turnkey solutions. Teleoperation-focused models may also face pressure if the industry appetite shifts decisively toward full autonomy, though they could serve as a valuable bridge.
Lightly corroborated -- Competitor funding stages and differentiators are based on Crunchbase and Tracxn summaries, which may not reflect the most current private data. Sensmore's positioning is confirmed by its own materials and press coverage.
Opportunity
Public sources
If Sensmore can reliably automate the world's largest and most expensive machines in its target environments, the prize is a controlling stake in the multi-billion dollar productivity and safety budget of the global heavy industry.
The headline opportunity is to become the default autonomy retrofit platform for the existing fleet of off-highway machinery in mining and quarrying. This outcome is reachable because the company's cited deployments with Cemex and Lhoist demonstrate a path to full-site rollouts, not just pilot projects [International Mining, May 2026] [Tech.eu, May 2025]. The core bet is that operators, faced with persistent labor shortages and pressure to decarbonize operations, will prioritize retrofitting their current multi-million dollar assets over a decades-long fleet replacement cycle. Sensmore's full-system approach, integrating hardware, AI, and site infrastructure, positions it to capture the entire automation stack's value, moving beyond selling sensors to becoming an essential operational partner.
Growth is not a single path but a series of adjacent expansions, each with a clear catalyst.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| European Quarry Standard | Sensmore's system becomes the de facto choice for automation across European limestone and aggregate sites. | A multi-site framework agreement with a global materials giant like Heidelberg Materials. | The company is already partnering with Heidelberg on a wheel loader automation project in northern Germany, establishing a beachhead [International Mining, May 2026]. |
| Underground Mining Breakthrough | The company dominates the automation of Load-Haul-Dump (LHD) vehicles in underground mines, a segment with extreme safety premiums. | Successful completion and publication of results from the ongoing collaboration with Aramine on underground loaders. | Sensmore's radar-centric technology is specifically highlighted for its robustness in low-visibility, dusty conditions prevalent underground [sensmore, 2026]. |
| Platform Expansion to New Tasks | The core AI stack is applied to automate complex, high-value tasks beyond load-and-carry, such as autonomous drilling or precision grading. | Launch of a new "Task Autonomy" module, leveraging the same VLAM architecture. | The company's research focus on Vision-Language-Action Models for real-time reasoning suggests the technical foundation is being built for more generalized task understanding [PERPLEXITY SONAR PRO BRIEF, retrieved 2026]. |
Compounding for Sensmore looks like a data and operational lock-in flywheel. Each new site deployment generates proprietary terrain, machine, and operational data under harsh, real-world conditions. This data continuously improves the core AI models, particularly the perception systems, creating a performance gap that is difficult for new entrants to close without equivalent field time. Furthermore, a successful deployment reduces perceived risk for the next customer in the same vertical, while the integration of Sensmore's system with a site's safety and network infrastructure creates switching costs. The company's recent funding announcement noted measurable improvements in productivity and safety at customer sites, an early signal that the flywheel of value creation is beginning to turn [Tech.eu, May 2025].
The size of the win can be framed by looking at comparable, though not direct, public valuations. Built Robotics, a US-based competitor focused on autonomous earthmoving, was reportedly valued at approximately $500 million during its 2021 funding round [Crunchbase]. While market conditions have shifted, this provides a benchmark for a company automating heavy equipment in a specific vertical. If Sensmore executes on the "European Quarry Standard" scenario and captures a material portion of the retrofit market across thousands of sites, reaching a similar or greater valuation scale is plausible (scenario, not a forecast). The total addressable market is underpinned by the immense replacement value of the global off-highway equipment fleet, which runs into the hundreds of billions of dollars, making even a single-digit percentage penetration a multi-billion dollar revenue opportunity.
Lightly corroborated -- Growth scenarios and compounding effects are analyst inferences based on cited partnerships and product claims. The valuation comparable for Built Robotics is from public reporting.
Sources
Public sources
[sensmore, May 2025] sensmore secures $7.3M in funding to turn the world's ... | https://www.sensmore.ai/press/funding-announcement
[Tech.eu, May 2025] sensmore secures US$7.3 million in funding | https://tech.eu/2025/05/23/sensmore-secures-us-7-3-million-in-funding/
[International Mining, June 2026] Cemex and Sensmore digitising quarry operations with AI | https://im-mining.com/2026/06/25/cemex-and-sensmore-digitising-quarry-operations-with-ai/
[sensmore, 2026] Sensmore , Heavy machinery. Light years ahead. | https://www.sensmore.ai/
[PERPLEXITY SONAR PRO BRIEF, retrieved 2026] Sensmore company brief | https://www.perplexity.ai/
[EU-Startups, May 2025] Berlin-based Sensmore secures €6.5 million to turn heavy machinery into autonomous robots | https://www.eu-startups.com/2025/05/berlin-based-sensmore-secures-e6-5-million-to-turn-heavy-machinery-into-autonomous-robots/
[sensmore, retrieved 2026] Why Radar is all you need (in construction and mining) | https://www.sensmore.ai/press/why-radar-is-all-you-need
[Entrepreneur First] Entrepreneur First portfolio | https://www.joinef.com/
[MarketsandMarkets] Autonomous Construction Equipment Market | https://www.marketsandmarkets.com/Market-Reports/autonomous-construction-equipment-market-173640668.html
[International Mining] Industry publication | https://im-mining.com/
[Geomechanics.io, June 2026] Cemex and Sensmore digitising quarry operations with AI | https://www.geomechanics.io/cemex-and-sensmore-digitising-quarry-operations-with-ai/
[Crunchbase] Built Robotics, SafeAI, Teleo company profiles | https://www.crunchbase.com/
[International Mining, May 2026] Heidelberg partners with Sensmore for autonomous wheel loader operations | https://im-mining.com/2026/05/19/heidelberg-partners-with-sensmore-for-autonomous-wheel-loader-operations/
Articles about Sensmore
- Sensmore's Radar-First Autonomy Reaches Europe's Largest Quarries — The Berlin startup retrofits heavy machinery for Cemex and Lhoist, betting its 4D radar and AI can automate the harshest mining and construction sites.