In this article, discover a collection of startups that are impacting industries with their innovative applications of large action models (LAM). From personalized operating systems and self-learning AI to autonomous robots and customer service solutions, these companies are changing human-computer interactions.
Each startup is leveraging LAM technology to automate complex processes and improve productivity, and user experiences. Also, explore how these large action model startups are shaping the future of automation and AI across multiple sectors.
Top 10 Large Action Model Startups
- rabbit – Personalized Operating System
- Agile Loop – Self-learning AI
- Pixel Robotics – Autonomous Mobile Robot
- Brance – AI Sales Agents
- Lampi AI – Secure Generative AI Platform
- ToothFairyAI – Private AI Workforce
- AgentsForce – Tickets Support AI Agents
- Enhans – Optimized E-commerce Solutions
- Cust – Customer Success AI Agents
- Almanak – Web3 Simulation Infrastructure
Meet 10 Large Action Model Startups to Watch in 2025
1. rabbit
- Founding Year: 2020
- Location: Los Angeles, California, United States
- Use For: Personal Assistant for Streamlined Daily Tasks
US-based startup rabbit creates rabbit OS which is a customized operating system that uses natural language interfaces to understand complicated user intentions.
rabbit OS performs tasks on behalf of the user by using its large action model (LAM), which learns to mimic human interactions with programs without the need for a conventional application programming interface (APIs).
In addition, the startup’s rabbit r1 is a portable AI-powered assistant. It also combines features like bidirectional translation, object identification, memory recall, and voice-controlled tools in a compact design.
It carries out a variety of actions from information retrieval to booking travel arrangements, all initiated by conversational prompts. Moreover, rabbit advances human-computer interaction by combining LAM with specialized hardware to provide users with an uninterrupted and intuitive digital experience.
2. Agile Loop
- Founding Year: 2023
- Location: Riyadh, Saudi Arabia
- Use For: Complex Software Processes Automation
Saudi Arabian startup Agile Loop creates self-learning AI systems that automate complex tasks in a variety of software environments with its proprietary LAMs. The system comprehends and mimics human actions by analyzing various software interfaces without the need for conventional programming or APIs.
This procedure incorporates video-language models such as SAM, an AI-powered desktop automation agent that enables users to control computers using natural language commands in text.
It also offers Loops Edge and Loops Web which are intelligent process automation tools that are no-code, intuitive, and adaptable solutions.
Agile Loop provides effective, flexible solutions by fusing causal inference and logical reasoning skills with neural network-driven automation.
Additionally, Agile Loop received funding from Sanabil 500 MENA, GAIA Accelerator, and the National Technology Development Program to advance its AI-powered operating systems for transforming human-computer interaction.
3. Pixel Robotics
- Founding Year: 2020
- Location: Munich, Germany
- Use For: Pallet Transportation Automation
German startup Pixel Robotics creates autonomous mobile robots (AMRs) to automate pallet transportation in dynamic industrial settings.
Its solution, the PIXEL PT, combines AI vision technologies, modular hardware, and a real-time digital twin for uninterrupted intralogistics workflows.
The PIXEL PT tracks cars and barriers using AI recognition units installed on the ceiling, allowing for flexible and accurate navigation without predetermined transfer points.
Its features including automated charging, strong fork detection, and compatibility with forklifts and manually operated vehicles, ensure reliable operation in challenging conditions.
Pixel Robotics improves operational efficiency and provides scalable solutions for industrial and logistical applications with a W2MO fleet manager to coordinate fleets and manual operations.
4. Brance
- Founding Year: 2022
- Location: Delhi, India
- Use For: Enhance Guest Experiences and Streamline Operations
Indian startup Brance creates generative AI-powered AI sales agents to increase sales conversions in sectors like hospitality and automotive.
These AI agents integrate with omnichannel communication platforms enabling businesses to reply to consumer questions in real-time on Facebook, Instagram, WhatsApp, and email.
The AI assistants use natural language processing to quickly do activities like appointment follow-ups, booking confirmations, and upselling services.
Its key features include personalized client interactions, automated lead management, and the capacity to respond consistently across all communication channels.
Brance’s technology improves the overall sales process, boosts revenue, and expedites customer interaction by combining AI innovation with a human-like touch.
5. Lampi AI
- Founding Year: 2023
- Location: Paris, France
- Use For: Tasks and Workflows Automation
French startup Lampi AI develops a secure generative AI platform for professionals in corporate finance and consulting. The platform uses advanced large language models (LLMs) to power fine-tuned AI agents to do complicated tasks.
It generates multi-step action plans, extracts insights from various data sources, and produces fact-based reports. It offers various features like workflow customization, enterprise-level search relevancy, and the simplified incorporation of proprietary data into AI-driven procedures.
Lampi AI ensures data sovereignty with on-premise hosting and dynamic guardrails, with a strong emphasis on security and privacy.
Further, Lampi AI partnered with Ampere Computing at CloudFest 2024 to demonstrate efficient AI solutions using Ampere’s cloud-native processors.
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6. ToothFairyAI
- Founding Year: 2023
- Location: Melbourne, Australia
- Use For: Build, Own, and Host Customizable AI Agents
Australian startup ToothFairyAI creates a private AI workforce platform that enables companies to use self-governing agents that are customizable to meet their requirements.
The platform incorporates adaptable AI agents that perform tasks like client engagement, sales help, project management, and data analytics by utilizing multimodal and multilingual capabilities.
It ensures enterprise-grade privacy and security by enabling companies to create, own, and host their own AI models.
It provides various advantages such as decentralized AI architecture, small scalable models, and uninterrupted internal system interaction via custom APIs.
ToothFairyAI provides businesses complete control over their data and AI workflows which enables improved productivity, accelerates business growth, and streamlines operations.
Additionally, ExeQuantum and ToothFairyAI announced a strategic partnership to transform the cybersecurity landscape.
7. AgentsForce
- Founding Year: 2023
- Location: Tel Aviv, Israel
- Use For: Customer Service Support Tickets Solution
Israeli startup AgentsForce develops AI-driven support agents to handle customer service tickets with efficiency and empathy.
The platform enables AI agents to comprehend and react to human interactions with accuracy by using advanced LLMs to ensure natural and realistic communication.
Its features include real-time voice AI with rapid response times, full-circle engagement that coordinates all parties involved, and human-level reasoning to address complex customer issues.
The AI agents handle routine inquiries by interacting with customer service teams in an uninterrupted manner which allows human agents to work on more valuable tasks.
AgentsForce further turns support operations into a beneficial business tool by increasing customer satisfaction, decreasing ticket expenses, and improving resolution rates.
8. Enhans
- Founding Year: 2021
- Location: Seoul, South Korea
- Use For: Customized AI Model Creation
South Korean startup Enhans develops optimized e-commerce solutions through its AI-powered platform, CommerceOS to enhance retail and online business operations.
The platform automates key processes like data-driven strategy, real-time pricing, and predictive sales analytics using an AI loop of data, logic, and action.
Its AI Agents are based on the Artificial Intelligence Agents Platform (AIAP) to provide operational efficiencies and actionable insights by integrating at the business edge.
Additionally, Enhans raised USD 6.3 million in Series A funding, led by Hyundai Venture Investment, L&S Venture Capital, and KDB Capital, with support from Timefolio Asset Management and AOA Capital Partners.
9. Cust
- Founding Year: 2023
- Location: Vilnius, Lithuania
- Use For: Autonomous Customer Success Management Platform
Lithuania-based startup Cust develops AI agents for customer success teams to enable high-touch experiences across all customer segments.
The platform utilizes AI to automate client research, suggest the best course of action, execute tasks with one click, and update or correct contact information.
The platform offers features like playbooks for upsells, renewals, and churn recovery, along with customized onboarding, activation, and feedback processes.
Besides, Cust turns customer success strategies into actionable insights by integrating with CRM, and analytics, and uninterruptedly supporting data.
10. Almanak
- Founding Year: 2022
- Location: Zurich, Switzerland
- Use For: Autonomous Financial Agents Deployment
Swiss startup Almanak creates a Web3 simulation infrastructure for decentralized finance (DeFi) to enable users to create, train, and implement independent financial agents.
The platform offers a permissionless end-to-end environment where agents are optimized through rigorous testing, training, and performance analysis bots.
Its features also include AI-powered agentic systems, DeFi protocol integration, and trading and asset management tools for traders.
Discover All Emerging Large Action Model Startups
The 840+ startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach.
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