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[3/18] 5 Notable Overseas Startup Funding Rounds

In recent years, tools and services utilizing Generative AI have spread rapidly, making a significant impact across various industries, from software development and cloud infrastructure to food distribution. For example, according to a GitHub survey, many developers have begun utilizing AI coding assistants, and this innovation now extends to code review, code optimization, virtual desktop operations, and even the food tech sector. In this article, focusing on the latest funding news, we will explain the trends in AI utilization, the features of each service, and future prospects in an easy-to-understand manner.


1. Graphite: AI-powered code review and the outlook for 'Diamond'


Amidst the surging demand for AI coding assistants and code review, Graphite has grown rapidly since its founding in 2020, pivoting from mobile development tools to now focusing on AI-powered code review features. The company raised $52 million in a Series B round in 2025, securing support from prominent investors including Anthropic and Accel.

Merrill Lutsky, one of the co-founders, stated the following in a media interview:

Graphite started as an internal tool we built to solve the challenges we were facing ourselves with code review... And soon, the demand for Graphite became too large to ignore.

The platform provided by Graphite utilizes large language models (LLMs) from Anthropic and OpenAI to point out errors and blind spots in code, offering improvements. It is said to provide the following features:

  • AI-assisted code review: Automatically detects code issues and suggests improvements

  • Code summarization and bug fix candidate generation: Automatically generated from comments and code history

  • Security enhancement: Allows setting of unique patterns and filters for the codebase

Furthermore, the company announced 'Diamond,' an AI-powered bug detection tool as a new product. This aims to automatically detect oversights during coding and encourage efficient improvements. Among many competitors in AI coding assistance tools such as GitHub Copilot, Anysphere, and Codeium, it differentiates itself by leveraging 'codebase-specific rule settings and filter functions' as its strength.

2. Arcade: An AI agent infrastructure supported by a new fund from Perplexity co-founders


Next to note is a startup called Arcade, founded in 2024. The company raised $12 million, and one of its investors is a new fund launched by the co-founders of Perplexity, known for its search AI. Arcade initially attempted to build an 'automated site reliability agent,' but they say they faced many challenges when actually running LLM agents.

According to co-founder Alex Salazar,

“Most agents suck. They don’t do much.”
Based on this awareness of the problem, Arcade adopted a new policy, thinking that 'providing a tool-calling infrastructure that allows agents to access external services and data is more valuable than building our own agents.'

The feature of Arcade lies in its ability to mediate secure authentication to numerous SaaS and web apps using OAuth. It has created a mechanism that does not pass authentication tokens directly to the LLM itself, but instead grants the agent only the necessary data and permissions while ensuring security. For companies that want to put AI agents into practical operation but are concerned about security, this will be a strong option.

3. TurinTech: Improving code 'waste' with an evolutionary approach


TurinTech is a UK startup that raised $20 million and is developing a code optimization platform called 'Artemis.' According to the company's CEO, Leslie Kanthan, while code generated by LLMs is fast, it can potentially increase 'technical debt' and 'security risks.'

Especially with the spread of code generation left to models, known as 'vibe coding' like Cursor Composer, the accuracy of code review and the efficiency of implementation can easily become pitfalls. In addition to traditional LLMs, TurinTech's Artemis combines an 'evolutionary approach' and features:

“Automatically detecting, accelerating, and reducing resource usage for the wasteful parts of code output by LLMs.” capabilities.

The 'evolutionary approach' is a technology based on Kanthan's research that 'repeatedly optimizes data structure selection like a genetic algorithm,' a method likened to 'Darwinian evolution.' Large companies such as banks are actually testing this program, accelerating efforts to improve performance and safety while auditing AI-generated code.

4. A New Trend in Cloud and Virtual Desktop Management: Nerdio


Nerdio is a service that realizes efficiency and cost reduction in cloud infrastructure environments. Recently, it raised $500 million in Series C funding, reaching a valuation that makes it a unicorn (over $1 billion). The company provides "Nerdio Manager for Enterprise," a platform that centrally manages Microsoft Azure virtual desktops (such as Azure Virtual Desktop and Windows 365).

Nerdio was originally spun out of the IT services business of its parent company, Adar. It is used by major companies such as PayPal, Sony, and Comcast, and promotes the following benefits:

  • Automated user provisioning: Smooth deployment of virtual desktops and apps

  • Resource auto-scaling: Automatic adjustments based on usage to achieve cost optimization

  • No cloud management expertise required: Reduced operational burden through an intuitive UI and workflow

The importance of virtual desktops has increased with the establishment of remote and hybrid work. While it allows secure access to corporate resources from various devices, there is often a lack of expertise and tools for cloud management. This is why the demand for comprehensive management platforms like Nerdio is rising.

5. Food Tech x AI: GrubMarket Reaches Over $3.5 Billion Valuation


The use of AI and cloud technology is also expanding significantly in the food tech sector. America's GrubMarket received $50 million in new funding, achieving a valuation of over $3.5 billion. The company is expanding its business as an "online farmers market" that connects local farmers and food suppliers with retailers and consumers online, while utilizing AI technology and digital tools to improve the efficiency of the food supply chain.

According to co-founder and CEO Mike Xu, the company expects annual revenue to reach $2 billion in 2024 and $2.4 billion in 2025, and it has already achieved profitability on an EBITDA basis. In recent years, in particular, it is said to be actively developing new technologies such as the following:

  • Demand forecasting and inventory management via AI assistant: Centrally manages order data from customers and procurement information, and proposes optimal ordering plans by digitizing and analyzing "voice memos and sticky notes"

  • Visualization of the food supply chain: Contributes to reducing transportation costs and compressing excess inventory

Furthermore, it is expanding its distribution network coverage by acquiring competitors and continuing to grow its business. A prime example is the acquisition of Good Eggs, known for fresh food delivery, which it led to restructuring and profitability. It is considering large-scale acquisitions in the future and is building a system to supply food to over 70 countries around the world.

It is clear from the funding and growth examples of the companies mentioned at the beginning that AI is about to significantly change existing industrial structures. In the fields of code review and coding assistants, Graphite, Arcade, and TurinTech are each focusing on "AI-driven quality improvement" and "security protection" to build the next generation of development ecosystems. Furthermore, in the realm of cloud management and virtual desktops, Nerdio is growing rapidly, supporting the new normal of remote work. In food tech, GrubMarket is incorporating AI into its supply chain and is proceeding with extremely large-scale, global expansion.

The common thread among these companies is that they are "utilizing AI not as an auxiliary tool for existing business, but as the core of their business." Even in seemingly different fields such as code review, cloud management, and food distribution, the processes of data aggregation, analysis, and optimization are common. There is no doubt that innovation will continue in all fields along with the advancement of AI technology. We are in an era where we cannot take our eyes off the trends of how companies utilize AI and redefine their business models.


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