Top AI Robotics Startups to Watch in 2026: $1.4B+ in Funding

Introduction

AI Robotics is experiencing a funding surge unlike anything the sector has seen before. The convergence of large language models, computer vision breakthroughs, and advances in hardware actuation has created a moment where investors believe intelligent robots are finally ready for real-world deployment. Our database tracks 5 AI Robotics companies that have collectively raised over $1.4 billion, spanning humanoid factory workers, household helpers, maritime autonomy, and industrial manufacturing.

This article profiles every AI robotics company in our database, analyzes the funding landscape, and explores what the capital allocation patterns reveal about where the robotics industry is headed.

Sector Overview

Company Profiles

1. Figure AI -- The Humanoid Workforce Pioneer

The biggest name in AI robotics is building general-purpose humanoid robots for commercial and industrial workforces.

Funding History:

Why Figure AI matters:

Figure AI has assembled one of the most impressive investor syndicates in all of AI robotics. Sequoia Capital led the Series B, with Microsoft Ventures and NVIDIA participating in both rounds. The company has also secured a partnership with BMW to deploy humanoid robots in automotive manufacturing environments, and a collaboration with OpenAI to integrate large language models into robotic control systems.

The $675M Series B was nearly 10x the size of the Series A, reflecting a dramatic increase in investor conviction. The valuation jumped from $500M to $2.6B -- a 5.2x increase in under two years. Figure AI's approach is ambitious: rather than building robots for a single narrow task, the company is developing general-purpose humanoids that can be trained for diverse workplace roles, from warehouse operations to manufacturing assembly.

Key investors across rounds: Sequoia Capital, Microsoft Ventures, NVIDIA, Amazon

2. Mind Robotics -- Collaborative Manufacturing at Scale

Leveraging production-scale data from a strategic Rivian partnership to build collaborative industrial robots.

Why Mind Robotics matters:

Mind Robotics is the newest entrant in our AI robotics database, but its $500M funding puts it immediately among the sector's heavyweights. The company's strategic partnership with Rivian -- the electric vehicle manufacturer -- gives it something that many robotics startups lack: access to production-scale manufacturing data and a real-world deployment environment from day one.

The collaborative robotics (cobot) market has been growing steadily, but previous generations of cobots were programmed rather than truly intelligent. Mind Robotics is betting that foundation model-class AI can transform cobots from pre-programmed tools into adaptive collaborators that learn from the manufacturing environment in real time.

3. Sunday -- Humanoid Robots for the Home

Building the household humanoid robot, starting with domestic chores like dishwashing.

Why Sunday matters:

While most well-funded robotics companies target industrial or commercial applications, Sunday is going after the home. The consumer robotics market has been notoriously difficult -- previous attempts (Jibo, Kuri, and others) failed to find product-market fit. But Sunday's thesis is that the combination of modern AI and better hardware makes household humanoid robots viable for the first time.

The $165M raise is substantial for a consumer robotics company and suggests investors see a path to mass-market deployment. Starting with dishwashing and household chores, Sunday is tackling tasks that are both universally needed and surprisingly complex from a robotics perspective -- requiring dexterity, object recognition, spatial reasoning, and the ability to operate in unstructured environments.

4. Rhoda -- Foundation Models for Industrial Robotics

Training robotic foundation models on web-scale video data for complex industrial autonomy.

Key investor: Khosla Ventures led the round. Khosla has been one of the most active deep-tech AI investors, also backing Sakana AI, Replit, and Glean.

Why Rhoda matters:

Rhoda represents a distinctive approach to robotics: rather than building robots and then adding AI, the company is starting with foundation models trained on web-scale video data and then deploying those models into robotic systems. This is the inverse of the traditional robotics approach and mirrors the success pattern of language models -- train on massive data first, then fine-tune for specific applications.

The insight is that the internet contains an enormous amount of video showing how objects are manipulated, how tasks are performed, and how the physical world behaves. By training on this data, Rhoda's models can potentially generalize to new tasks with minimal additional training -- the same zero-shot and few-shot capabilities that made GPT and Claude powerful for language tasks.

5. Mirai Robotics -- Autonomous Maritime Systems

Building autonomous maritime systems for defense, offshore operations, and logistics.

Why Mirai Robotics matters:

Mirai Robotics is the earliest-stage company in our AI robotics database, but it occupies a fascinating niche: autonomous maritime systems. While most robotics investment focuses on humanoid or manufacturing robots, the maritime domain presents unique challenges and opportunities.

Dock-to-dock autonomy for maritime vessels involves navigating open water, weather conditions, port environments, and regulatory frameworks that differ fundamentally from land-based robotics. Mirai's focus on defense surveillance, commercial offshore operations, and logistics positions it at the intersection of robotics and defense tech -- a sector that has attracted massive investment through companies like Anduril Industries ($1.5B Series F).

As the only European company in our AI robotics database, Mirai also benefits from proximity to major shipping lanes, naval operations, and Europe's offshore energy industry.

Investment Landscape Analysis

Funding Distribution

The funding distribution in AI robotics is heavily top-weighted:

Figure AI alone accounts for more than half of all tracked AI robotics funding. This concentration reflects the market's bet on humanoid robots as the form factor most likely to achieve general-purpose deployment.

Key Investors in AI Robotics

The investor composition in AI robotics differs from other AI sectors:

• Sequoia Capital -- Led Figure AI's $675M Series B. Sequoia's involvement signals the highest level of venture capital conviction.
• Microsoft Ventures -- Invested in both Figure AI rounds, reflecting Microsoft's interest in the compute layer for robotics (Azure IoT, cloud robotics platforms).
• NVIDIA -- Present in both Figure AI rounds. NVIDIA's Jetson and Isaac robotics platforms make it a natural strategic investor in the category.
• Khosla Ventures -- Backed Rhoda, consistent with Khosla's deep-tech investment thesis.

Geographic Concentration

Four of five AI robotics companies are in the Bay Area (3 in San Francisco, 1 in Sunnyvale). The only exception is Mirai Robotics in Bari, Italy. This concentration reflects the Bay Area's unique combination of:

• AI research talent (Stanford, Berkeley)
• Hardware engineering expertise (legacy from semiconductor and consumer electronics industries)
• Proximity to potential commercial partners (logistics, manufacturing, automotive)
• Venture capital willing to fund hardware-intensive businesses

Sector Trends

Trend 1: The Foundation Model Approach to Robotics

The most significant shift in AI robotics is the application of foundation model architectures to robotic control. Rhoda's approach of training on web-scale video data, Figure AI's partnership with OpenAI for LLM-powered robotic reasoning, and the broader trend toward learned (rather than programmed) robotic behaviors all point in the same direction: the future of robotics is AI-first.

Trend 2: Humanoid Form Factors Are Winning Capital

Three of the five companies in our database (Figure AI, Mind Robotics, Sunday) are building humanoid or human-collaborative robots. Investors appear to believe that the humanoid form factor offers the broadest addressable market because it can operate in environments designed for humans without requiring infrastructure modifications.

Trend 3: The Consumer vs. Industrial Split

The sector is splitting into two camps:

• Industrial/commercial (Figure AI, Mind Robotics, Rhoda, Mirai Robotics) -- focused on manufacturing, defense, and logistics
• Consumer (Sunday) -- focused on household applications

Industrial applications typically offer clearer paths to revenue and more forgiving error tolerances, which may explain why they attract larger funding rounds. But Sunday's $165M raise suggests investors see a viable path for consumer robotics as well.

Trend 4: Strategic Investors Are Critical

More than any other AI sector, robotics attracts strategic corporate investors alongside financial VCs. Microsoft, NVIDIA, and Amazon all appear as investors in Figure AI. These strategic investors provide more than capital -- they offer compute platforms, distribution partnerships, and technical integration that pure financial investors cannot match.

Comparison With Adjacent Sectors

How does AI robotics funding compare with other hardware-adjacent AI sectors in our database?

AI Robotics is by far the best-funded hardware-adjacent AI sector, reflecting the market's conviction that intelligent robots represent a trillion-dollar opportunity.

Conclusion

The AI robotics sector in 2026 is defined by outsized ambition, massive capital deployment, and a fundamental bet on the convergence of AI and physical systems. With Figure AI leading the pack at $745M raised and a $2.6B valuation, Mind Robotics securing $500M for collaborative manufacturing, and Sunday pursuing the consumer market with $165M, the sector has attracted over $1.4 billion in our tracked database alone.

The question for the sector is no longer whether intelligent robots will work -- it is which applications will achieve product-market fit first, and which companies will navigate the complex engineering, regulatory, and manufacturing challenges that separate prototypes from products.

For the latest data on these companies and the broader AI robotics sector, visit /sector/ai-robotics.

---

Data sourced from AI Funding deal tracker. All figures based on tracked funding rounds in our database. Company profiles reflect data as of March 2026.