Agile Loop logo — We create self-learning AI that listens to you, learns your...

Agile Loop

We create self-learning AI that listens to you, learns your tasks and operates computers on your behalf.

Founded 2023 United Kingdom London, United Kingdom 42 employees Non Equity Assistance Total: $600.00K AI, Machine Learning

General Information

Company Name Agile Loop
Founded Year 2023
Location United Kingdom London, United Kingdom
Employees 42
Industries AI, Machine Learning
Funding Stage Non Equity Assistance
Social

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About Agile Loop

Agile Loop is a UK-based startup focused on revolutionizing human-computer interactions. The company's pioneering product, AL OS1, is an Artificial General Intelligence venture that aims to build a self-learning foundation model for Actionable AI Agents. This model can seamlessly operate any software user interface through human language prompts. Agile Loop offers its Foundation Model APIs for developers to fine-tune and deploy custom AI Agents, as well as for software companies to integrate into their SaaS products, thereby transforming their user interfaces into human language-driven interfaces. Furthermore, the company offers a subscription-based AI agent called the Search Action Engine which is trained to handle web-based tasks through a chat interface, simplifying activities such as online shopping, flight and hotel bookings, and more. Agile Loop's last investment was a non-equity assistance investment in May 2025 from Design in Saudi Arabia with AI. Agile Loop's vision to reinvent human-computer interactions and simplify software adoption is compelling, especially in the rapidly evolving AI and machine learning industries. The potential for the widespread adoption of their products is significant, and the company's innovative approach to AI and machine learning makes it an intriguing prospect for potential investors.

Business keywords: Artificial General Intelligence, AI Agents, Self-learning AI, Software Integration, Digital Task Automation, Web-based Automation, User Interface Transformation, Human Language AI, SaaS Products, Web App Interaction, Digital Assistant, Chat Interface, Task Automation API, Software Adoption, Usability Enhancement

Services & Products

AI-powered automation software
Vision language model development
Smartphone assistant technology
Beta testing for software products

Target Customers

Enterprises tech companies AI researchers and developers

Funding Rounds & Investors (4)

View All
Funding Stage Amount Investors Lead Investors Date
Non Equity Assistance Undisclosed 1
Design in Saudi Arabia with AI
01 May 2025
Pre Seed Round Undisclosed 1
Sanabil 500 MENA Seed Accelerator
14 May 2024
Pre Seed Round $520.00K -
01 Mar 2023
Grant $80.00K -
01 Mar 2023

Agile Loop Alternatives & Competitors

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FAQ About Agile Loop

We create self-learning AI that listens to you, learns your tasks and operates computers on your behalf.
Agile Loop was founded in 2023.
Agile Loop is headquartered in London, United Kingdom.
Agile Loop operates in AI and Machine Learning. Its work centres on Artificial General Intelligence, AI Agents, Self-learning AI and Software Integration. Its customers include Enterprises, tech companies and AI researchers.
Agile Loop has approximately 42 employees.
Agile Loop has completed 4 funding rounds, raising a total of $600.00K. The latest funding stage is Non Equity Assistance.
Agile Loop offers: AI-powered automation software, Vision language model development, Smartphone assistant technology, Beta testing for software products.
Top alternatives and competitors to Agile Loop include ColdAI, wrtn technologies, YORG AI, AGICortex, PolyAI. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
Agile Loop and ColdAI are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for Agile Loop, https://bouncewatch.com/company/agile-loop, updated 13 May 2025. When citing, please name BounceWatch and link this page.

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