Robust.AI

PUBLIC

Attribute	Details
Company	Robust.AI
Tagline	AI-powered collaborative mobile robots for dynamic warehouse and manufacturing environments.
Headquarters	San Carlos, California, United States
Founded	2019
Stage	Series A
Business Model	Hardware + Software (Robots-as-a-Service)
Industry	Logistics / Supply Chain
Technology	Robotics
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding Label	$10M+
Total Disclosed	$42.5M [PitchBook, 2025]

Links

PUBLIC

• Website: https://www.robust.ai/
• LinkedIn: https://www.linkedin.com/company/robust-ai

Executive Summary

PUBLIC Robust.AI is building collaborative mobile robots for warehouses, a bet that retrofit-friendly automation and human-centric design can unlock productivity in existing logistics facilities where more rigid, greenfield systems have struggled to gain traction. Founded in 2019, the company has developed the Carter robot and Grace orchestration software, sold together under a Robots-as-a-Service (RaaS) model designed for quick deployment with minimal infrastructure changes [TechCrunch, April 2023]. The founding team brings significant credibility from prior robotics ventures, including co-founder and CEO Anthony Jules, an MIT-trained roboticist with leadership experience at Google's Everyday Robot project and Activision, and CTO Rodney Brooks, a founder and former CTO of iRobot [Robotics Summit & Expo, retrieved 2026] [RoboBusiness, retrieved 2026]. With $42.5 million in total disclosed funding led by investors like Prime Movers Lab and Playground Global, the company is scaling from pilot deployments, having reported delivering more than 60% productivity gains to DHL in Las Vegas within weeks of deployment [Robust.AI, retrieved 2026] [PitchBook, 2025]. The critical watchpoint over the next 12-18 months is whether Robust.AI can convert its strong early case study into a repeatable, scaled sales motion that moves beyond pilot customers and demonstrates consistent unit economics across a broader set of warehouse environments.

Data Accuracy: GREEN -- Core facts confirmed by multiple independent sources including TechCrunch, PitchBook, and company materials.

Taxonomy Snapshot

Axis	Classification
Stage	Series A
Business Model	Hardware + Software
Industry / Vertical	Logistics / Supply Chain
Technology Type	Robotics
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding	$10M+ (total disclosed ~$42,500,000)

Company Overview

PUBLIC

Robust.AI emerged in 2019 from a founding team of robotics veterans who had observed a persistent gap in warehouse automation: systems that were either too rigid for dynamic human environments or required prohibitively expensive facility overhauls [TechCrunch, April 2023]. The company was incorporated in San Carlos, California, a location that places it within the broader Bay Area hardware and AI ecosystem [LinkedIn]. Its initial capital came from a $7.5 million round in June 2019, which provided the runway to develop its core thesis of collaborative, human-centric robotics [PitchBook, 2026].

A significant milestone arrived in late 2020 with a $15 million Series A, led by Playground Global and JAZZ Venture Partners, which funded the transition from prototype to initial pilot deployments [TechCrunch, April 2023]. The company's public narrative solidified in April 2023 with a $20 million Series A-1 round led by Prime Movers Lab, a round explicitly earmarked for scaling robot deliveries to pilot customers and expanding manufacturing capacity [TechCrunch, April 2023]. This was followed by a key operational milestone in 2024 with the launch of Carter™ Pro, an enhanced robot model designed for more intuitive human interaction [Robust.AI, Oct 2024].

Data Accuracy: GREEN -- Founding year, headquarters, and funding rounds confirmed by Crunchbase, PitchBook, and TechCrunch. Milestone sequencing is corroborated by dated press releases.

Product and Technology

MIXED

Robust.AI's commercial offering is a bundled hardware and software system designed for retrofit into existing warehouse and manufacturing environments. The company sells its Carter autonomous mobile robot (AMR) alongside its Grace orchestration software, typically under a Robots-as-a-Service (RaaS) subscription model, though it offers upfront purchase options for larger enterprises [TechCrunch, April 2023]. The core proposition is flexibility: Carter is engineered to work alongside human associates without requiring changes to facility infrastructure, such as installing magnetic tape or reflectors [Robust.AI, July 2026]. This allows operations to adopt automation incrementally, a model the company describes as "crawl, walk, run" [Robust.AI, July 2026].

• Hardware Platform. The Carter robot is a collaborative mobile robot (CMR) focused on internal material movement, including transporting totes, feeding workstations, and repositioning pallets [The Logistics Navigators]. In October 2024, the company launched Carter Pro, which introduces a hybrid interaction model where workers can manually guide the robot using a handlebar or simply push it, blending automation with manual control [Robust.AI, Oct 2024] [The New Warehouse, January 2025].
• Software Orchestration. Grace is described as a no-code software suite that coordinates tasks between people and robots, enabling dynamic workflow management [Robust.AI]. The software-defined nature of the platform allows a single Carter unit to be reconfigured for different applications, from point-to-point transport to functioning as a mobile sorting wall [Robotics247].
• Commercial Model. Deployments are governed by three-year contracts, with return on investment measured against key performance indicators like units or lines picked per hour [Automated Warehouse]. Public performance claims include delivering over 60% productivity gains to DHL within the first weeks of a deployment in Las Vegas [Robust.AI] [Robotics247] [Foxconn, May 2025].

The technology stack is inferred from job postings and public descriptions to involve robotics operating systems (likely ROS), computer vision for navigation and object recognition, and cloud-based fleet management software. The emphasis on "AI-powered" collaboration suggests the integration of machine learning models for task planning and human-robot interaction, though the specific architectures are not detailed in public materials.

Data Accuracy: YELLOW -- Product details and commercial model are confirmed by company sources and trade press. Specific performance claims are sourced to the company and a partner announcement but lack independent third-party verification.

Market Research

PUBLIC The market for collaborative mobile robots (CMRs) is emerging as a critical wedge into industrial automation, driven by a persistent labor shortage and the need for flexible, retrofit-friendly solutions in existing facilities. While Robust.AI does not publish its own market sizing, the broader sector it targets is substantiated by third-party research on warehouse automation and autonomous mobile robots.

Demand is anchored by structural pressures in logistics and manufacturing. The global warehouse automation market was valued at $18.7 billion in 2022 and is projected to reach $46.2 billion by 2027, growing at a CAGR of 19.8% [MarketsandMarkets, 2023]. This growth is attributed to several concurrent tailwinds: a sustained labor shortage increasing wage pressure, the rapid growth of e-commerce requiring higher throughput and accuracy, and the need for supply chain resilience post-pandemic. The specific segment for autonomous mobile robots, which includes collaborative models like Carter, is a primary growth vector within this larger market, as companies seek to augment, rather than replace, human workforces.

Key adjacent and substitute markets include traditional fixed automation (conveyor systems, AS/RS) and competing forms of robotic automation like robotic arms for picking. The primary competitive tension for CMRs is not against other mobile robots, but against the decision to invest in large-scale, inflexible greenfield automation versus a more modular, software-defined approach. Regulatory forces are generally favorable but nascent; increased focus on workplace safety (OSHA guidelines) and ergonomics creates a tailwind for collaborative robots designed to reduce worker strain and injury.

Warehouse Automation Market 2022 | 18.7 | $B
Projected Market 2027 | 46.2 | $B

This projected growth, while not specific to CMRs, frames the total addressable market for automation solutions Robust.AI's products are designed to penetrate. The high compound annual growth rate suggests a sector in expansion, though the company's serviceable market is a narrower slice defined by facilities seeking collaborative, non-invasive automation.

Data Accuracy: YELLOW -- Market sizing from a single third-party report; company-specific SAM/SOM not publicly available.

Competitive Landscape

MIXED Robust.AI positions its Carter robot not as a direct replacement for human labor, but as a collaborative tool designed to augment existing warehouse workflows with minimal infrastructure change, a focus that sets it apart from more rigid, greenfield automation systems.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Robust.AI	Collaborative mobile robots (CMRs) for retrofit-friendly material handling in warehouses.	Series A; $42.5M total raised [PitchBook, 2025]	Emphasis on human-centric design and software-defined workflows requiring no facility modifications.	[TechCrunch, April 2023]
Locus Robotics	Autonomous mobile robots (AMRs) for e-commerce and warehouse order fulfillment.	Late-stage; $422M+ raised [Crunchbase, 2026]	Large-scale deployments in major 3PLs and retailers; focus on high-volume picking.	[Crunchbase]
Fetch Robotics (Acquired by Zebra)	AMRs for material handling and data collection across warehouses and manufacturing.	Acquired (2021)	Broad portfolio of robots for transport, sorting, and inventory management; integrated with Zebra's ecosystem.	[Zebra Technologies]
6 River Systems (Acquired by Shopify/Ocado)	Collaborative mobile robots for warehouse picking and packing.	Acquired (2019/2022)	"Chuck" robot guides associates through tasks via lights and screen; strong in e-commerce fulfillment.	[6 River Systems]

The competitive map for warehouse automation is stratified by deployment philosophy and target workflow. Incumbent industrial automation providers like Daifuku and Dematic dominate large-scale, fixed-infrastructure systems for greenfield sites, a segment Robust.AI explicitly avoids. The challenger cohort, including Locus Robotics and 6 River Systems, focuses on automating discrete, high-volume tasks like order picking, often within dedicated zones. Robust.AI's segment of collaborative material movement,transporting totes, feeding workstations, clearing completed work,is adjacent to these picking robots but targets a different, often manual, part of the workflow. Adjacent substitutes include traditional manual carts and forklifts, which represent the low-tech, high-labor baseline the company aims to augment.

Robust.AI's defensible edge today appears rooted in its technical approach and founding talent. The company's emphasis on robots that work safely and intuitively alongside people without environmental modifications is a product of its founding team's deep robotics pedigree, including Rodney Brooks (co-founder of iRobot) and Anthony Jules (Google X's Everyday Robot project) [Robotics Summit & Expo]. This talent edge is significant but perishable if key personnel depart. The software-defined nature of the Carter platform, allowing a single robot to be reconfigured for multiple tasks via its Grace orchestration software, creates a potential data and workflow lock-in advantage as deployments scale. However, this edge is not yet proven at massive scale, and durability hinges on continued software innovation ahead of competitors who may adopt similar flexible architectures.

The company is most exposed in two areas. First, it faces well-capitalized, later-stage competitors like Locus Robotics in the broader AMR category, which have deeper sales footprints and proven scalability in high-volume picking, a lucrative adjacent market. Second, its retrofit-friendly, collaborative model may face a natural ceiling in warehouses pursuing full, lights-out automation, where the value proposition shifts from augmentation to total replacement. While not a direct channel conflict, the company does not own the system integrator relationships that often gatekeep large automation projects, relying instead on a direct sales motion and its RaaS model to reach operations managers.

The most plausible 18-month scenario involves further market segmentation. A winner in the collaborative material handling niche if Robust.AI can convert its early productivity gains with customers like DHL into multi-site, enterprise-wide deployments, proving the economic model beyond pilot stages [Robust.AI]. A loser in that same period could be a generic AMR provider that fails to differentiate its hardware, competing solely on price as the market for simple point-to-point transport commoditizes. Robust.AI's path depends on demonstrating that its human-centric software layer drives consistently higher ROI and faster adoption than more rigid alternatives, turning its collaborative focus from a niche into a standard.

Data Accuracy: YELLOW -- Competitor funding and positioning are from public databases; differentiation claims are based on company materials and industry reporting.

Opportunity

PUBLIC

If Robust.AI can successfully scale its human-centric, retrofit-friendly robotics model, the prize is a durable position in the high-growth warehouse automation market, which is projected to exceed $30 billion by 2030 as operators seek flexible productivity solutions [LogisticsIQ, 2024].

The headline opportunity for Robust.AI is to become the default provider of collaborative mobile robots for retrofit warehouse environments. Unlike systems that require extensive facility redesign, Robust.AI's Carter platform is designed to work within existing workflows, a wedge that could unlock a vast, underserved segment of the market. The company's early evidence supports this path: a deployment at a DHL facility in Las Vegas reportedly delivered over 60% productivity gains within the first weeks, demonstrating the immediate operational impact of its approach [Robotics247], [Foxconn, May 2025]. This outcome is reachable because the core challenge in logistics is not a lack of automation, but the prohibitive cost and disruption of installing it; Robust.AI's technology directly addresses that friction.

Growth is not a single path, but could follow several concrete scenarios depending on market adoption and execution.

Scenario	What happens	Catalyst	Why it's plausible
The Retrofit Standard	Carter becomes the go-to solution for 3PLs and retailers modernizing legacy facilities without major capital projects.	A multi-year, fleet-wide partnership with a major logistics provider like DHL or FedEx.	The DHL pilot showed significant gains, and the company's RaaS model lowers upfront barriers for asset-light operators [Robust.AI, July 2026].
The Platform Play	Grace's no-code orchestration software becomes the central nervous system for mixed fleets of robots from multiple vendors.	Opening the Grace API to third-party robot manufacturers and system integrators.	The software is already described as enabling dynamic coordination in "any warehouse with any workflow," suggesting a platform ambition [Robust.AI].
The Manufacturing Pivot	Carter Pro's collaborative design wins in light manufacturing and assembly, adjacent to warehouses.	Strategic co-development partnership with an automotive or electronics manufacturer, like the existing Aptiv collaboration [Robust.AI].	The product is explicitly designed for human-robot collaboration and manual override, fitting complex, less-structured environments [The New Warehouse, January 2025].

Compounding for Robust.AI looks like a data and deployment flywheel. Each new warehouse deployment generates unique data on human-robot interaction, facility layouts, and workflow bottlenecks. This proprietary dataset continuously improves the AI driving Carter's navigation and task orchestration, making the robots more efficient and easier to deploy in the next, similar facility. Early signs of this flywheel are suggested by the company's "crawl, walk, run" automation model, which allows a single Carter unit to evolve from simple transport to integrated picking as the software learns the environment [Robust.AI, July 2026]. Success with early pilots builds a referenceable customer base in a conservative industry, reducing sales friction for subsequent deals.

The size of the win can be framed by looking at a public comparable. Locus Robotics, a provider of collaborative mobile robots for fulfillment warehouses, was valued at approximately $2 billion during its last funding round in 2021 [The Wall Street Journal, 2021]. While market conditions have shifted, this valuation indicates the potential scale for a leader in collaborative warehouse robotics. If Robust.AI executes on the "Retrofit Standard" scenario and captures a meaningful portion of the retrofit automation segment, an outcome in a similar range is conceivable (scenario, not a forecast). The company's partnership with Foxconn for manufacturing scale further underpins its capacity to pursue this level of growth [Foxconn, May 2025].

Data Accuracy: YELLOW -- The DHL productivity claim is cited in multiple trade publications but originates from company materials. The market size projection is from a known industry report. The Locus Robotics valuation is a dated but relevant public benchmark.

Sources

PUBLIC

1. [TechCrunch, April 2023] Robust.AI raises $20M as it scales robot deliveries for pilot customers | https://techcrunch.com/2023/04/20/robust-ai-raises-20m-as-it-scales-robot-deliveries-for-pilot-customers/

2. [PitchBook, 2025] Robust.AI Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/267926-77

3. [LinkedIn, retrieved 2026] Robust.AI | https://www.linkedin.com/company/robust-ai

4. [Robust.AI, July 2026] Robust.AI Introduces "Crawl, Walk, Run" Automation Model with ShipLab Deployment | https://www.robust.ai/shiplab-deployment

5. [Robust.AI, Oct 2024] Robust.AI Launches Carter™ Pro | Enhance Productivity Today | https://www.robust.ai/carter-pro-announcement

6. [Robotics Summit & Expo, retrieved 2026] Anthony Jules | https://aiforgood.itu.int/speaker/anthony-jules/

7. [RoboBusiness, retrieved 2026] Rodney Brooks | https://www.roboticsbusinessreview.com/news/rodney-brooks-robust-ai-cto/

8. [Robust.AI, retrieved 2026] Inside Robust.AI’s Vision for Human-Centric Robotics: How Carter™ Is Reinventing Warehouse Productivity | https://www.robust.ai/blog/roboticsbusinessnews

9. [The Logistics Navigators] Robust.AI | https://www.thelogisticsnavigators.com/robust-ai

10. [The New Warehouse, January 2025] Carter™ Pro | https://thenewwarehouse.com/carter-pro/

11. [Robotics247] Robust.AI | https://www.robotics247.com/robotics_companies/robust_ai

12. [Automated Warehouse] Robust.AI | https://automatedwarehouse.com/robust-ai/

13. [Foxconn, May 2025] Foxconn and Robust.AI Partner | https://www.foxconn.com/en/news/article/202505-partner-robust-ai

14. [MarketsandMarkets, 2023] Warehouse Automation Market | https://www.marketsandmarkets.com/Market-Reports/warehouse-automation-market-890.html

15. [Crunchbase, 2026] Locus Robotics | https://www.crunchbase.com/organization/locus-robotics

16. [Zebra Technologies] Fetch Robotics | https://www.zebra.com/us/en/solutions/automation/fetch-robotics.html

17. [6 River Systems] 6 River Systems | https://6river.com/

18. [LogisticsIQ, 2024] Warehouse Automation Market | https://www.logisticsiq.com/research/warehouse-automation-market/

19. [The Wall Street Journal, 2021] Locus Robotics Valuation | https://www.wsj.com/articles/locus-robotics-valued-at-2-billion-in-new-funding-11621310401

20. [PitchBook, 2026] Robust.AI Seed Round | https://pitchbook.com/profiles/company/267926-77

21. [Crunchbase, retrieved 2026] Robust.AI | https://www.crunchbase.com/organization/robust-ai