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| Mentee Robotics | |
|---|---|
| General information | |
| Industry | Robotics, Artificial intelligence |
| Founded | 2022 |
| Headquarters | Herzliya, Israel |
| Founders | Amnon Shashua, Lior Wolf, Shai Shalev-Shwartz |
| Key people | Amnon Shashua (Chairman), Lior Wolf (CEO), Shai Shalev-Shwartz (Chief Scientist), Dr. Shir Gur (CTO) |
| Products | MenteeBot, MenteeBot V3 |
| Employees | ~70 |
| Parent | Mobileye (acquisition announced January 2026) |
| Website | menteebot.com |
Mentee Robotics is an Israeli artificial intelligence and robotics company that develops general-purpose humanoid robots. Founded in late 2022 and headquartered in Herzliya, near Tel Aviv, the company is best known for its MenteeBot and MenteeBot V3 humanoid robot platforms, which integrate large language models, neural radiance field (NeRF) algorithms for real-time 3D mapping, and simulator-to-reality (Sim2Real) reinforcement learning for locomotion and manipulation.
The company was co-founded by three prominent figures from Israel's AI research community: Professor Amnon Shashua, the co-founder and president/CEO of Mobileye; Professor Lior Wolf, a computer vision researcher and former director at Facebook AI Research; and Professor Shai Shalev-Shwartz, a machine learning researcher and CTO of Mobileye. The company's name reflects its core design philosophy: a "mentee" is a robot that learns from a human mentor through natural demonstrations and verbal instructions, rather than requiring extensive programming or continuous remote teleoperation.[1][2]
Mentee Robotics operated in near-stealth mode for approximately two years before publicly unveiling its first-generation MenteeBot in April 2024. In January 2026, Mobileye announced a definitive agreement to acquire Mentee Robotics for approximately $900 million, with first customer proof-of-concept deployments planned for 2026 and commercial production targeted for 2028.[3][4]
Mentee Robotics was established in late 2022, at a moment of surging interest in humanoid robotics. Tesla had announced its Optimus humanoid robot program in 2021 and demonstrated an early prototype in 2022, sparking renewed attention from investors, the media, and the broader technology community. Against this backdrop, three Israeli AI researchers decided to apply their decades of experience in computer vision, autonomous driving, and deep learning to the challenge of building a truly intelligent humanoid robot.[2][5]
Professor Amnon Shashua, the company's chairman, is one of Israel's most influential technologists. He co-founded Mobileye in 1999, building it into the world's leading provider of camera-based advanced driver-assistance systems (ADAS). Intel acquired Mobileye for $15.3 billion in 2017, and the company was re-listed on the NASDAQ stock exchange in October 2022 with Shashua continuing as president and CEO. Beyond Mobileye, Shashua co-founded OrCam in 2010 (an assistive vision technology company for the visually impaired) and co-founded AI21 Labs in 2017 (a developer of enterprise-grade large language models). He holds the Sachs Professorship in Computer Science at the Hebrew University of Jerusalem and was elected to the U.S. National Academy of Engineering in 2026.[6][7]
Professor Lior Wolf, the company's CEO (serving in the role since December 2021, when formal planning for the company began), is a full professor at Tel Aviv University's School of Computer Science. He completed a postdoctoral fellowship at MIT (2003 to 2006) and earned his PhD in Computer Science from the Hebrew University of Jerusalem. Before founding Mentee Robotics, Wolf progressed from research scientist to director at Facebook AI Research (FAIR) between 2017 and 2021, guiding research and product teams at scale. His academic work spans computer vision, deep learning, and natural language processing, providing the company with deep expertise in the perception and language understanding systems critical for humanoid robot intelligence.[1][8]
Professor Shai Shalev-Shwartz, the company's chief scientist, is a professor at the Hebrew University of Jerusalem and serves as CTO of Mobileye, where he leads development of the Responsibility-Sensitive Safety (RSS) framework and Road Experience Management technologies. A world-renowned machine learning researcher, he co-authored a widely cited textbook on the foundations of machine learning. His dual role at Mobileye and Mentee Robotics helped facilitate direct technology transfer between autonomous driving and humanoid robotics.[6][9]
Shashua later described the technological convergence that motivated the venture: "We are on the cusp of a convergence of computer vision, natural language understanding, strong and detailed simulators, and methodologies on and for transferring from simulation to the real world." This convergence, he argued, made the development of truly capable humanoid robots feasible for the first time.[1]
For approximately 18 months following its founding, Mentee Robotics operated in a near-stealth mode. The company attracted brief press coverage at the tail end of 2022 in connection with the broader wave of humanoid robotics announcements, but it had little to show publicly at that early stage and quickly entered a period of quiet development.[2][5]
During this time, the company assembled a team that grew to roughly 70 employees, including approximately 45 AI specialists, at its offices at 3 Arik Einstein Street in Herzliya. Rather than relying on off-the-shelf components, the team designed proprietary actuators, motor drivers, and robotic hands in-house, reflecting a vertically integrated approach that would become a defining characteristic of the MenteeBot platform. The company also built its development and training pipeline around NVIDIA's robotics ecosystem, including NVIDIA Isaac Sim for physics-accurate simulation, NVIDIA Isaac Lab for reinforcement and imitation learning, and NVIDIA DGX systems for model training.[1][5][10][11]
Mentee Robotics emerged from stealth on April 17, 2024, with the public unveiling of its first-generation MenteeBot prototype. The announcement was distributed via BusinessWire under the headline "Mentee Robotics Unveils MenteeBot: A Humanoid Robot That Integrates AI Across All Operational Layers." The company released a series of short demonstration videos alongside the press release rather than holding a traditional press conference.[1][12]
The flagship demonstration video showed the MenteeBot performing a multi-step task in a single continuous, unedited take. The robot received a verbal command ("put the fruit in the box and place it on the shelf"), navigated to a table, identified and picked up two persimmons, placed them in a box, and carried the box to a nearby shelf. The entire sequence was completed in approximately 90 seconds without human intervention. This unedited format was notable in the humanoid robotics industry, where demonstration videos are frequently cut and edited to hide failures or delays.[1][12][13]
In August 2024, Mentee Robotics released a demonstration video showing the MenteeBot functioning as a shopping assistant. In the video, the robot accompanied a wheelchair user through a retail environment, pushing a shopping cart and adjusting its position each time the shopper stopped to add items.[14]
In November 2025, the company released an 18-minute continuous, unedited demonstration featuring two MenteeBot V3 units working together in a warehouse environment, autonomously transferring 32 boxes from eight piles of varying heights into four flow racks. The demonstration showcased coordinated multi-robot operation, stable movement with loaded payloads, precise object handling across different rack heights, and fleet coordination with two robots operating in close proximity without collisions.[15][16]
In January 2025, a design closely resembling the forthcoming MenteeBot V3.0 appeared on stage during NVIDIA founder Jensen Huang's keynote address at CES 2025 in Las Vegas. Huang assembled 14 humanoid robots on stage alongside his declaration that "the ChatGPT moment for general robotics is just around the corner." The lineup included robots from Boston Dynamics, Agility Robotics, Figure AI, Apptronik, Unitree Robotics, 1X Technologies, Sanctuary AI, XPeng Robotics, Fourier Intelligence, and others. MenteeBot was the sole representative from Israel in the lineup.[17][18]
Mentee Robotics officially unveiled the MenteeBot V3 (also referred to as MenteeBot V3.0) in February 2025. The third-generation humanoid featured 360-degree vision via fisheye side and rear cameras, a hot-swappable battery system enabling 24/7 operation through battery cycling, redesigned hands with 30 N finger pinch force and motor-based tactile sensing, and custom-built actuators delivering approximately three times the power of comparable commercial alternatives. While the company designated this as the "third version" (suggesting at least one intermediate iteration), detailed public information about a distinct V2 stage is limited.[19][20]
An incremental update, the MenteeBot V3.1, was announced later in 2025 with refinements to the tactile sensing, improved reinforcement learning workflows for specific industrial tasks, and further refinement of the Sim2Real transfer pipeline.[21]
Mentee Robotics raised capital through multiple funding rounds before its acquisition by Mobileye. Reported funding totals vary across sources, reflecting potential undisclosed rounds.
| Round | Date | Amount | Lead investor | Notable participants |
|---|---|---|---|---|
| Series A | December 2022 | $17 million | Ahren Innovation Capital | 10D, Cisco Investments, Hookipa AG |
| Additional round(s) | 2023 to 2025 | Undisclosed | Undisclosed | Undisclosed |
| Funding round | March 2025 | $21 million (reported) | Undisclosed | Cisco Investments, others |
| Total raised | ~$38 to $50 million |
The initial Series A round of $17 million was led by Ahren Innovation Capital, a technology-focused investment firm.[22] Other investors included 10D (an Israeli venture capital fund), Cisco Investments (the venture capital arm of Cisco Systems), and Hookipa AG. According to Tracxn, the total funding raised was $17 million, while Calcalist and other Israeli media outlets cited figures as high as $38 million to $41 million, and some sources reported up to $50 million in total funding, suggesting additional undisclosed funding rounds.[22][23][24]
PitchBook data indicated that Mentee Robotics completed a funding round in March 2025 that valued the company at approximately $162 million. Less than 10 months later, Mobileye announced its acquisition of the company for $900 million, representing a roughly 5.6x increase over the most recent private valuation.[25][26]
The name "Mentee Robotics" reflects the company's foundational concept: a robot that is a "mentee" to a human "mentor." Shashua explained that the company was called Mentee because it aimed to develop a humanoid that could be "mentored" by a human, whether a layman or a customer, who shows the robot a new task. Rather than requiring extensive programming or continuous remote teleoperation, the MenteeBot is designed to learn new skills from natural human demonstrations and verbal instructions, similar to onboarding a new employee.[1][27]
This "mentorable" approach is central to the company's business model. The company works toward "few-shot generalization," where the robot can acquire new skills from only a small number of human demonstrations rather than requiring the massive datasets or hours of teleoperation that many competing approaches demand. The goal is to make the robot adaptable enough that end users (warehouse workers, factory operators, or eventually household members) can teach it new tasks through natural interaction without any technical expertise.[1][19]
Mentee Robotics describes its approach as "AI-first," meaning that artificial intelligence was integrated across every operational layer from the very beginning of the design process, from high-level task planning down to low-level motor control. This distinguishes the company from many competitors that started with mechanical engineering and later added AI capabilities. The AI-first philosophy was informed by the founders' decades of experience at Mobileye, where they had built one of the world's most advanced perception and decision-making stacks for autonomous vehicles.[1][2]
The company describes its training methodology as a "Foundation Model" approach, combining two complementary learning strategies: "learning from experience" (reinforcement learning for action management and motor control) and "learning from data" (processing language, vision, and speech inputs through large pretrained models).[19]
The MenteeBot's AI system operates across three interconnected layers.
| Layer | Technology | Function |
|---|---|---|
| Task planning | Transformer-based LLMs | Interprets natural language commands, engages in conversation, decomposes complex instructions into executable subtask sequences |
| Environment perception | NeRF-based 3D mapping | Builds real-time cognitive maps storing both geometric and semantic information; enables object localization, spatial reasoning, and dynamic path planning |
| Locomotion and manipulation | Sim2Real reinforcement learning | Trains movement and grasping behaviors in simulation with domain randomization, then transfers policies to physical hardware with minimal fine-tuning |
At the highest level, transformer-based large language models interpret natural language commands and break them down into sequences of executable subtasks. When a human operator gives a verbal command (for example, "pick up the boxes and move them to the shelf"), the LLM decomposes this into discrete steps: navigate to the boxes, identify the correct objects, grasp them, transport them, and place them at the designated location.[1]
The robot builds a detailed three-dimensional map of its environment in real time using NeRF algorithms. These neural radiance field models create cognitive maps that store both geometric and semantic information. The robot can identify the locations of specific objects, understand spatial relationships, and dynamically plan paths that avoid obstacles. The maps update continuously as the robot moves, allowing it to handle environmental changes such as moved inventory or rearranged furniture.[1]
Locomotion and manipulation skills are trained using a Sim2Real approach. The robot first learns behaviors in a simulated environment (built in NVIDIA Isaac Sim), where reinforcement learning can draw on effectively unlimited synthetic training data. Domain randomization techniques ensure that policies learned in simulation are robust enough to transfer to the real world with minimal fine-tuning.[1][11]
A notable design choice is the MenteeBot's reliance on camera-only sensing, without LiDAR or other active depth sensors. This vision-centric approach directly mirrors the philosophy that Mobileye pioneered in autonomous driving, where camera-based perception proved sufficient for understanding complex road environments at a fraction of the cost of LiDAR-equipped systems. Applied to humanoid robotics, this approach keeps the sensor suite simpler and more cost-effective while leveraging advances in computer vision and neural network-based depth estimation that the founders helped develop over their careers.[1][13]
Rather than purchasing off-the-shelf actuators and components, Mentee Robotics designs and manufactures its own actuators, motor drivers, and robotic hands. The custom actuators in the V3 generation deliver approximately three times the power of comparable commercial alternatives while maintaining a compact form factor. The proprietary precision motor drivers provide transparent, stable, and highly predictable joint behavior, which is critical for both safety and for minimizing the gap between simulated and real-world robot performance (the "Sim2Real gap").[4][19]
This vertically integrated approach offers several advantages: it enables tighter integration between hardware and the AI software stack, supports cost-effective volume manufacturing, and provides the company with full control over component performance. According to Mobileye's acquisition announcement, this integration "minimizes the Sim2Real gap, enables 24/7 operational availability, provides versatility for a wide range of applications, and supports cost-effective volume manufacturing."[4]
Mentee Robotics built its development and training pipeline around NVIDIA's robotics ecosystem, establishing one of the deeper integrations among humanoid robot developers. The partnership follows NVIDIA's three-computer architecture for robotics.
| Component | NVIDIA technology | Role |
|---|---|---|
| Training | NVIDIA DGX platform | Model training and refinement for perception, movement, and manipulation |
| Simulation | NVIDIA Isaac Sim | Synthetic data generation, physics-accurate simulation, and model validation |
| Simulation | NVIDIA Isaac Lab | Reinforcement and imitation learning for motion control and dexterity |
| Simulation | NVIDIA GR00T-Mimic | Scaling expert teleoperation demonstrations with domain randomization |
| Simulation | NVIDIA Cosmos | Augmenting synthetic training data with generative AI capabilities |
| Edge deployment | Dual NVIDIA Jetson AGX Orin | Onboard AI inference, real-time control, and autonomous operation |
| Validation | NVIDIA RTX 6000 Ada GPUs | Private cloud infrastructure for model validation before physical deployment |
| Future upgrade | NVIDIA Jetson Thor | Planned next-generation onboard compute for greater scalability and performance |
The training pipeline works as follows: expert demonstrations are collected via teleoperation using motion planners, then scaled in simulation using NVIDIA GR00T-Mimic with domain randomization (randomized object positions, backgrounds, textures, and more). Reinforcement learning policies for motion control are trained in NVIDIA Isaac Lab. The resulting models are validated in Isaac Sim before being deployed to the dual NVIDIA Jetson AGX Orin processors on the physical robot for real-time autonomous operation.[11]
Professor Lior Wolf stated: "NVIDIA's hardware and AI stack provided the compute efficiency, scalability, and real-time AI processing" necessary for the company's approach to robot learning and humanoid autonomy. Looking ahead, Mentee Robotics has indicated plans to transition to the NVIDIA Jetson Thor platform for even greater scalability and performance at the edge.[11]
The original MenteeBot, unveiled in April 2024, was the company's first-generation humanoid robot and served as its proof-of-concept platform. Standing 175 cm tall and weighing 70 kg, it featured 40 degrees of freedom, a 25 kg payload capacity, and a maximum walking speed of 1.5 m/s. The robot was powered by dual NVIDIA Jetson AGX Orin processors and used camera-only sensing (no LiDAR). It used gripper-style clamp hands for manipulation. The original MenteeBot was designed for both household and commercial applications, though the company's focus shifted increasingly toward industrial use cases as the platform matured.[1]
The MenteeBot V3, unveiled in February 2025, is the company's third-generation humanoid robot. It maintains the same physical dimensions and performance envelope as the original (175 cm height, 70 kg weight, 25 kg payload, 40 degrees of freedom, 1.5 m/s walking speed) but introduces substantial upgrades.
| Feature | MenteeBot (2024) | MenteeBot V3 (2025) |
|---|---|---|
| Vision system | Forward-facing cameras | 360-degree (fisheye side + rear + head-mounted sensors) |
| Battery system | Fixed battery, 3 to 5 hours | Hot-swappable, 3 to 4+ hours per module, 24/7 via cycling |
| Hand design | Gripper-style clamps | Redesigned with 30 N finger pinch force, impact-resistant |
| Tactile sensing | Not disclosed | Motor-based tactile sensing in hands |
| Appearance | Functional prototype aesthetic | More humanoid, refined industrial design |
| Market focus | Residential and commercial variants | Primarily industrial and logistics |
| Actuators | Custom proprietary | Custom proprietary (3x power density, further refined) |
The V3.1 incremental update, announced later in 2025, refined the tactile sensing, improved reinforcement learning workflows for specific industrial tasks, and further enhanced the Sim2Real transfer pipeline.[19][20][21]
On January 6, 2026, during CES 2026 in Las Vegas, Mobileye announced a definitive agreement to acquire Mentee Robotics for approximately $900 million. The transaction comprised roughly $612 million in cash and up to 26.2 million shares of Mobileye Class A common stock, subject to adjustment based on vesting of Mentee stock options prior to closing. The deal was approved by Mobileye's board of directors following the recommendation of a Strategic Transactions Committee consisting of independent directors and Intel (Mobileye's majority shareholder). Closing was expected in the first quarter of 2026.[3][4]
Amnon Shashua described the acquisition as "the beginning of Mobileye 3.0," combining Mentee's humanoid robotics breakthroughs with Mobileye's two decades of automotive autonomy expertise. Mentee CEO Lior Wolf highlighted the platform's four-year development achieving "cost-efficient humanoid" solutions and noted that the partnership provides "access to unparalleled AI infrastructure and commercialization expertise." Mentee Robotics was to continue as an independent unit within Mobileye following the acquisition.[3][4]
| Stakeholder | Stake | Estimated payout |
|---|---|---|
| Amnon Shashua | 37.8% | ~$341 million ($170.5M cash, $170.5M in shares); initial personal investment ~$10 million |
| Shai Shalev-Shwartz | ~13% | ~$118 million ($59M cash, $59M in shares) |
| Ahren Innovation Capital | 14.5% | ~$118 million (after deducting initial investment) |
| 10D | 3.5% | ~5x return on ~$6 million invested |
| Cisco Investments | Minority stake | Portion of remaining proceeds |
Mentee's investors, including Israel's 10D fund, Cisco Investments, and U.S.-based Ahren Innovation Capital, received a combination of cash and Mobileye Class A common stock. In addition, retention bonuses totaling $50 million, plus stock options worth tens of millions more, were allocated to Mentee employees to ensure continuity of the team through the transition.[25][26]
Mobileye identified three primary technology synergies driving the acquisition:
Shashua argued that robotics represents a necessary growth engine for Mobileye given increasing competitive pressure on its core ADAS business, positioning the combined company as a "Physical AI" enterprise across two transformative markets: autonomous driving and humanoid robotics. By unifying breakthroughs across these domains, Mobileye and Mentee would create what the company described as a "compounding advantage" in Physical AI, where progress in one domain systematically reinforces the other.[4]
The acquisition attracted scrutiny due to Shashua's role on both sides of the transaction. As both the CEO of Mobileye (the acquirer) and the chairman and largest shareholder of Mentee Robotics (the target), the deal raised conflict-of-interest questions. Mobileye's board established a strategy committee and engaged McKinsey as external advisers, with Shashua formally recused from the board's consideration and approval process. Calcalist reported that in Israel, institutional investors would likely have blocked such a transaction involving a controlling interested party, but noted that sensitivity to such conflicts proved lower on Wall Street.[28]
Calcalist reported that had Mobileye been traded on the Tel Aviv Stock Exchange rather than the NASDAQ, Israeli institutional investors would likely have blocked the transaction due to stricter oversight of deals involving controlling interested parties. Analysts noted that Mentee had generated no revenue at the time of acquisition and that the $900 million valuation represented a significant premium over both the approximately $38 to $50 million in total funding the company had raised and the $162 million valuation from its March 2025 funding round. Some questioned why Mobileye did not simply build an internal robotics division, noting that assembling a team would likely have cost far less. Others pointed out that the humanoid robotics market remains nascent, with commercial sales not expected until 2028 and pricing and market size still speculative.[26][28]
Following the acquisition, Mobileye outlined a phased go-to-market plan:
| Milestone | Target date |
|---|---|
| First autonomous proof-of-concept customer deployments | 2026 |
| Series production and initial commercial sales | 2028 |
Initial deployments would focus on industrial applications such as logistics centers and manufacturing lines, with autonomous on-site operation rather than teleoperation. The deployments are intended to demonstrate fully autonomous behavior without any remote control by human operators. Post-acquisition, Mobileye indicated it would retain over $1 billion in cash from its $1.7 billion cash position, with operating expenses expected to increase by a low single-digit percentage in 2026.[3][4][26]
The relationship between Mentee Robotics and Mobileye extends well beyond shared founders, representing a deliberate transfer of autonomous driving technology to humanoid robotics.
Mobileye, founded in 1999, pioneered the use of camera-based computer vision for ADAS and fully autonomous driving. The company's technology relies on interpreting visual data from cameras rather than expensive LiDAR arrays to perceive the driving environment, make decisions, and control vehicle behavior. This camera-first, vision-centric philosophy directly influenced the MenteeBot's design, which similarly relies exclusively on cameras for perception. The approach keeps hardware costs lower and leverages advances in neural network-based depth estimation and scene understanding that the Mobileye team spent decades developing.[4][7]
Mobileye's RSS framework provides a formal mathematical model that defines safe behavior for autonomous systems operating in dynamic environments alongside humans. Originally developed for self-driving cars, RSS encodes five core safety rules covering safe following distances, lateral spacing, right-of-way priority, visibility handling, and crash avoidance obligations. Adapting RSS for humanoid robotics would provide a rigorous, mathematically verifiable safety foundation for robots working in close proximity to human workers in factories and warehouses, building the regulatory readiness and trust required for large-scale commercial deployment.[4][9]
Both Mobileye and Mentee Robotics rely heavily on simulation for training and validation. Mobileye uses simulation extensively to test autonomous driving software across billions of miles of virtual driving scenarios. Mentee Robotics applies the same principle to humanoid robotics, training locomotion and manipulation policies in NVIDIA Isaac Sim before deploying them on physical hardware. The shared expertise in bridging the gap between simulated and real-world performance was a key technology synergy identified in the acquisition rationale.[4][11]
Mentee Robotics' robots are designed for both domestic and commercial applications, though the company's focus has shifted increasingly toward industrial use cases.
The primary target market includes warehouse automation (locating, retrieving, and transporting items up to 25 kg), manufacturing support (assembly tasks, loading and unloading, material handling), logistics operations (sorting, organizing, and palletizing goods), and work in hazardous environments (settings with chemical exposure or extreme temperatures that pose risks to human workers). The November 2025 dual-robot warehouse demonstration, in which two MenteeBot V3 units autonomously transferred 32 boxes across varying rack heights in an 18-minute unedited video, validated these capabilities.[1][15][16]
At the original MenteeBot's unveiling, Mentee Robotics described a residential variant capable of household chores including table setting, cleaning, dishwashing, laundry management, and learning new domestic tasks through verbal instructions and visual imitation. The April 2024 persimmon-sorting demonstration illustrated the type of household task the robot was designed to perform. However, the company's strategic focus has shifted primarily toward industrial deployment, which is expected to drive initial commercialization.[1][19]
The August 2024 shopping assistant demonstration, in which the MenteeBot accompanied a wheelchair user through a retail environment, suggested potential applications in service and assistive robotics roles beyond the core household and warehouse scenarios.[14]
Mentee Robotics is led by its three co-founders and a team of experienced executives.
| Name | Title | Background |
|---|---|---|
| Prof. Amnon Shashua | Chairman | Co-founder of Mobileye, OrCam, and AI21 Labs; Sachs Professor at Hebrew University |
| Prof. Lior Wolf | CEO | Professor at Tel Aviv University; former director at Facebook AI Research; PhD from Hebrew University; postdoc at MIT |
| Prof. Shai Shalev-Shwartz | Chief Scientist | Professor at Hebrew University; CTO of Mobileye; co-author of foundational machine learning textbook |
| Dr. Shir Gur | CTO | Technical leadership of the robotics platform |
| Sarit Melamed | CFO | Financial operations |
| Yovav Meydad | Chief Strategy & Product Officer | Strategy and product development |
| Tom Shenkar | Head of AI | AI systems development |
| Amos Hadas | Head of Mechanical Engineering | Hardware and mechanical systems |
| Ziv Ramati-Miller | Head of Robotic Systems | Robotic systems integration |
| Dor Weitman | Head of Software Engineering | Software platform development |
Mentee Robotics operates in a rapidly growing and intensely competitive humanoid robotics landscape. As of early 2026, no company has achieved large-scale commercial sales of general-purpose humanoid robots, and the timeline for doing so remains uncertain.
| Company | Robot | Country | Key differentiators |
|---|---|---|---|
| Tesla | Optimus Gen 3 | United States | Autopilot AI transfer, projected $20,000 to $30,000 price point |
| Figure AI | Figure 02 / Figure 03 | United States | OpenAI partnership for reasoning, 16 DOF per hand |
| Agility Robotics | Digit | United States | Already deployed in Amazon warehouses |
| Apptronik | Apollo | United States | Mercedes-Benz partnership, modular design |
| 1X Technologies | NEO | Norway | Consumer-focused, lightweight design |
| Sanctuary AI | Phoenix | Canada | Carbon AI control system, dexterous hands |
| Unitree Robotics | H1 / H2 | China | Aggressive pricing, open ecosystem |
| UBTECH | Walker S2 | China | Factory deployments with NIO, mature platform |
| Boston Dynamics | Atlas (electric) | United States | Fully electric redesign of iconic platform |
Calcalist's comparison at the time of the original MenteeBot's unveiling noted that while competitors like Figure 01 and Tesla Optimus featured multi-jointed fingers capable of fine manipulation, the MenteeBot used simpler gripper-style clamps. However, MenteeBot distinguished itself through its continuous, unedited demonstration videos, its AI-first architecture, and its founders' unmatched track record in bringing autonomous perception technology to commercial scale through Mobileye.[13]
The broader humanoid robotics market was estimated to reach $38 billion by 2035 according to Goldman Sachs, with logistics, manufacturing, and hazardous environment applications expected to drive early adoption. By early 2026, the competitive landscape had intensified further, with Tesla targeting production of thousands of Optimus units, Agility Robotics deploying Digit in Amazon warehouses, and Chinese manufacturers like Unitree Robotics launching humanoids at dramatically lower price points.[13][28]
Mentee Robotics is a product of Israel's broader technology ecosystem, which has earned the country its "Startup Nation" reputation. Israel is home to approximately 170 robotics companies spanning industrial technology, agricultural technology, health technology, and defense. The country's innovation culture fosters close collaboration between universities, research institutions, and startups, supported by a deep talent pool in AI, computer vision, and machine learning.[29]
The nation's autonomous driving sector is particularly strong, anchored by Mobileye and supported by companies like OrCam (co-founded by Shashua for assistive vision devices) and numerous defense-related autonomy firms. Israeli tech startups raised approximately $9.58 billion in 2024 (a 38% increase over 2023), with robotics representing a growing share of investment. The Mobileye-Mentee acquisition at $900 million was one of the largest Israeli startup acquisitions of early 2026.[24][29]