### **Rad AI's Impressive Funding Round**

The radiology AI startup **Rad AI** has recently made headlines by securing a new round of funding from **Transformation Capital**, which has propelled its valuation to an impressive **$525 million**. This funding is critical for the company's mission to enhance radiology services with advanced AI technology.

![Doctor with $100 bills in lab coat pocket and blue tie](https://i.insider.com/67940547eb4be2fff9a21f1d?width=700)
*Image Source: South_agency/Getty Images*

### **What This Means for Rad AI**

This significant investment not only underscores the growing interest in **AI technology within healthcare** but also positions Rad AI as a key player in the radiology sector. The funding will aid in expanding their technological capabilities and enhancing their product offerings.

As the healthcare industry increasingly integrates **AI solutions**, Rad AI stands to benefit from the rising demand for efficient and effective radiology services. The company's focus on utilizing AI to streamline workflows and improve diagnostic accuracy is at the forefront of this trend.

Stay tuned for more updates as Rad AI continues to innovate and reshape the landscape of radiology with their cutting-edge solutions.

The radiology AI startup was recently valued at $525 million in a new round of funding, Business Insider has learned.

Rad AI Secures $525 Million Valuation in Latest Funding Round: What You Need to Know

Advertising technologies may have lost their shine among investors, but **StackAdapt** is turning heads with its innovative approach. The Toronto-based company has successfully raised **$235 million** in a growth round led by **Teachers’ Venture Growth**, the late-stage venture arm of the **Ontario Teachers’ Pension Plan**, alongside participation from **Intrepid Growth Partners** and other unnamed investors.

### Revolutionizing Advertising with AI

StackAdapt is a **multichannel programmatic advertising platform** that harnesses the power of **AI and automation** to enhance user experience and improve advertising effectiveness. Co-founder and CEO **Vitaly Pecherskiy** emphasized the **rapidly evolving challenges** that marketing teams face and the pressure they bear to drive growth. He stated, "To help them stay ahead of the curve, we are relentlessly focused on building the most advanced, intelligent, and automated platform to make their success inevitable."

### Significant Funding Milestone

This funding round comes on the heels of a **$300 million** investment from **Summit Partners** in 2022, bringing StackAdapt's total funding to over **$500 million** since its inception in **2014**. 

### The Advertising Landscape

The advertising tech sector has seen a slowdown in investor interest, primarily due to the dominance of **Big Tech** and changing consumer preferences. Notably, StackAdapt's recent funding round marks the largest for an advertising startup since **Madhive** raised **$300 million** from **Goldman Sachs Asset Management** in 2023. According to **Crunchbase**, advertising startups raised less than **$1 billion** in venture capital last year and only **$1.3 billion** in 2023.

![Startup Funding](https://news.crunchbase.com/wp-content/uploads/2021/03/startup_funding.jpg)

*Illustration by [Dom Guzman](https://www.domguzman.com/)*

StackAdapt raised a $235 million growth round led by Teachers’ Venture Growth — the late-stage venture and growth investment arm of Ontario Teachers’ Pension Plan.

StackAdapt Secures $235M Investment: A Game Changer for AI in Advertising

The **meteoric rise** of DeepSeek—the Chinese AI startup now challenging global giants—has stunned observers and put the spotlight on China’s AI sector. Since **ChatGPT’s debut in 2022**, the country’s tech ecosystem has been in relentless pursuit of homegrown alternatives, giving rise to a wave of startups and billion-dollar bets.

Today, the race is dominated by tech titans like **Alibaba** and **ByteDance**, alongside well-funded rivals backed by heavyweight investors. But two years into China’s generative AI boom we are seeing a shift: Smaller innovators have to carve out their own niches or risk missing out. What began as a sprint has become a **high-stakes marathon**—China’s AI ambitions have never been higher.

An elite group of companies known as the **“Six Tigers”**—Stepfun, Zhipu, Minimax, Moonshot, 01.AI, and Baichuan—are generally considered to be at the forefront of China’s AI sector. But alongside them, research-focused firms like DeepSeek and ModelBest continue to grow in influence. Some, such as **Minimax** and **Moonshot**, are giving up on costly foundational model training to hone in on building consumer-facing applications on top of others’ models. Others, like **Stepfun** and **Infinigence AI**, are doubling down on research, driven in part by **US semiconductor restrictions**.

We have identified these four Chinese AI companies as the ones to watch:

### **Stepfun**  
Founded in April 2023 by former Microsoft senior vice president **Jiang Daxin**, Stepfun emerged relatively late onto the AI startup scene, but it has quickly become a contender thanks to its portfolio of foundational models. It is also committed to building **artificial general intelligence (AGI)**, a mission a lot of Chinese startups have given up on.

With backing from investors like **Tencent** and funding from Shanghai’s government, the firm released **11 foundational AI models** last year—spanning language, visual, video, audio, and multimodal systems. Its biggest language model so far, **Step-2**, has over **1 trillion parameters** (GPT-4 has about 1.8 trillion). It is currently ranked behind only ChatGPT, DeepSeek, Claude, and Gemini’s models on [LiveBench](https://livebench.ai/#/), a third-party benchmark site that evaluates the capabilities of large language models.

Stepfun’s multimodal model, **Step-1V**, is also highly ranked for its ability to understand visual inputs on **Chatbot Arena**, a crowdsource platform where users can compare and rank AI models’ performance. This company is now working with AI application developers, who are building on top of its models. According to [Chinese media outlet 36Kr](https://36kr.com/p/3090736042736004), demand from external developers to use Stepfun’s multimodal API surged over **45-fold** in the second half of 2024.

### **ModelBest**  
Researchers at the prestigious **Tsinghua University** founded ModelBest in 2022 in Beijing’s Haidian district. Since then, the company has distinguished itself by leaning into **efficiency** and embracing the trend of **small language models**. Its **MiniCPM series**—often dubbed “Little Powerhouses” in Chinese—is engineered for on-device, real-time processing on smartphones, PCs, automotive systems, smart home devices, and even robots. Its pitch to customers is that this combination of smaller models and local data processing cuts costs and enhances privacy.

ModelBest’s newest model, **MiniCPM 3.0**, has only **4 billion parameters** but matches the performance of GPT-3.5 on various benchmarks. On **GitHub** and **Hugging Face**, the company’s models can be found under the profile of OpenBMB (Open Lab for Big Model Base), its open-source research lab. Investors have taken note: In December 2024, the company announced a new, third round of funding worth **tens of millions of dollars**.

### **Zhipu**  
Also originating at Tsinghua University, **Zhipu AI** has grown into a company with strong ties to **government** and **academia**. The firm is developing foundational models as well as AI products based on them, including **ChatGLM**, a conversational model, and a video generator called **Ying**, which is akin to OpenAI’s Sora system.

**GLM-4-Plus**, the company’s most advanced large language model to date, is trained on **high-quality synthetic data**, which reduces training costs, but has still matched the performance of GPT-4. The company has also developed **GLM-4V-Plus**, a vision model capable of interpreting web pages and videos, which represents a step toward AI with more **“agentic” capabilities**.

Among the cohort of new Chinese AI startups, Zhipu is the first to get on the US government’s radar. On January 15, the Biden administration revised its export control regulations, adding over **20 Chinese entities**—including 10 subsidiaries of Zhipu AI—to its restricted trade list, restricting them from receiving US goods or technology for national interest reasons. The US claims Zhipu’s technology is helping China’s military, which the company denies.

Valued at over **$2 billion**, Zhipu is currently one of the biggest AI startups in China and is reportedly soon planning an **IPO**. The company’s investors include **Beijing city government-affiliated funds** and various prestigious VCs.

### **Infinigence AI**  
Founded in 2023, **Infinigence AI** is smaller than other companies on this list, though it has still attracted **$140 million** in funding so far. The company focuses on **infrastructure** instead of model development. Its main selling point is its ability to combine chips from lots of different brands successfully to execute AI tasks, forming what’s dubbed a “heterogeneous computing cluster.” This is a unique challenge Chinese AI companies face due to **US chip sanctions**.

Infinigence AI claims its system could increase the effectiveness of AI training by streamlining how different chip architectures—including various models from **AMD**, **Huawei**, and **Nvidia**—work in synchronization. In addition, Infinigence AI has launched its **Infini-AI cloud platform**, which combines multiple vendors’ products to develop and deploy models. The company says it wants to build an effective compute utilization solution “with **Chinese characteristics**,” and native to AI training. It claims that its training system **HetHub** could reduce AI models training time by **30%** by optimizing the heterogeneous computing clusters Chinese companies often have.

### **Honorable mentions**  
### **Baichuan**  
While many of its competitors chase scale and expansive application ranges, **Baichuan AI**, founded by industry veteran **Wang Xiaochuan** (the founder of Sogou) in April 2023, is focused on the domestic Chinese market, targeting sectors like **medical assistance** and **health care**. With a valuation over **$2 billion** after its newest round of fundraising, Baichuan is currently among the biggest AI startups in China.

### **Minimax**  
Founded by AI veteran **Yan Junjie**, Minimax is best known for its product **Talkie**, a companion chatbot available around the world. The platform provides various characters users can chat with for emotional support or entertainment, and it had even more downloads last year than leading competitor chatbot platform [Character.ai](http://character.ai). Chinese media outlet 36Kr reported that Minimax’s revenue in 2024 was around **$70 million**, making it one of the most successful consumer-facing Chinese AI startups in the global market.

### **Moonshot**  
Moonshot is best known for building **Kimi**, the second-most-popular AI chatbot in China, just after ByteDance’s Doubao, with over **13 million users**. Released in 2023, Kimi supports input lengths of over **200,000 characters**, making it a popular choice among students, white-collar workers, and others who routinely have to work with long chunks of text. Founded by **Yang Zhilin**, a renowned AI researcher who studied at Tsinghua University and Carnegie Mellon University, Moonshot is backed by big tech companies, including **Alibaba**, and top venture capital firms. The company is valued at around **$3 billion** but is reportedly scaling back on its foundational model research as well as overseas product development plans, as key people leave the company.

Four Chinese AI startups to watch beyond DeepSeek. These companies are all in a position to compete both within China and beyond.

Discover the Rising Stars: 4 Chinese AI Startups Ready to Compete Globally

## Ex-McKinsey Consultant Launches AI Startup

**Yersultan Sapar** and **Alibek Dostiyarov**, co-founders of **Perceptis**, are on a mission to empower smaller firms in the consulting industry using **AI technology**. They emphasize that AI can effectively manage the **tedious tasks** traditionally handled by consultants, allowing these smaller businesses to compete against the larger 'goliaths' in the market.

![Perceptis Co-Founders](https://i.insider.com/679d866deb4be2fff9a32eaa?width=700)
*Perceptis co-founders Yersultan Sapar, left, and Alibek Dostiyarov, right, have raised $3.6 million for their AI startup.*

The startup has successfully raised **$3.6 million** in funding, which will be used to enhance their AI capabilities and further develop their platform. The co-founders believe that by automating repetitive tasks, they can help small firms save time and resources, ultimately leading to increased efficiency and productivity.

With a background at **McKinsey**, Sapar understands the challenges faced by smaller firms and is committed to providing them with the tools needed to thrive in a competitive landscape. The integration of AI into consulting services is not just a trend; it's a transformative step that could redefine how consulting is approached by smaller players in the industry.

The co-founders of the start up Perceptis, including a McKinsey alum, say AI can take over some of the most tedious tasks that consultants do.

How an Ex-McKinsey Consultant is Revolutionizing Small Business Consulting with AI

**Exploring the Work Culture of French Entrepreneurs**

The discussion around the work ethic of French founders has gained traction, especially with the phrase **'Hustle dies at 6pm'** becoming a point of contention. This debate raises questions about whether French entrepreneurs are truly working hard enough compared to their global counterparts.

**The French Work-Life Balance**

France is known for its strong work-life balance, often prioritizing personal time over relentless work hours. This cultural norm can be seen as both a strength and a limitation in the fast-paced world of startups. While it promotes well-being, it may also hinder the aggressive growth strategies seen in other entrepreneurial ecosystems.

**Comparative Analysis with Global Startups**

In contrast to the **Silicon Valley hustle culture**, where long hours are often glorified, French founders might be perceived as less driven. However, many successful startups in France challenge this stereotype, demonstrating that quality can prevail over quantity in work hours.

**The Importance of Focus and Productivity**

Rather than emphasizing the number of hours worked, the French startup scene is increasingly focusing on **productivity and efficiency**. Founders are encouraged to maximize their output during working hours, leading to innovative approaches to business challenges.

**Key Takeaways for Aspiring Entrepreneurs**

- **Cultural Perspectives**: Understanding the local work culture is crucial for entrepreneurs operating in different regions.
- **Quality over Quantity**: Emphasizing productivity can lead to better outcomes than merely increasing work hours.
- **Global Comparisons**: Learning from different startup ecosystems can provide valuable insights for improving one’s own business strategies.

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Are French Founders Missing the Mark on Work Ethic? Insights from the 'Hustle Dies at 6pm' Debate

## The Rise of Fintech in Startup Finance

In today's dynamic financial landscape, **fintech** companies have emerged as key players, reshaping how startups approach funding and financial management. This surge in fintech adoption is not just a trend; it's a fundamental shift in how financial services are delivered.

### Fintech vs. Traditional Banks

While traditional banks have historically been the backbone of startup funding, they are now facing stiff competition from **fintech startups** that offer innovative solutions tailored to the needs of modern entrepreneurs. **Fintech companies** are leveraging technology to provide faster, more efficient, and often cheaper financial services.

### Key Innovations in Fintech

1. **Accessibility**: Fintech platforms have democratized access to financial resources, allowing startups to seek funding without the traditional barriers.
2. **Speed**: With streamlined processes, fintech solutions enable quicker loan approvals and financial transactions, which are critical for startups needing immediate capital.
3. **Customization**: Fintech services often provide tailored financial products that cater specifically to the unique needs of startups, unlike the one-size-fits-all approach of many banks.

### The Role of Traditional Banks

Despite the rise of fintech, traditional banks are not out of the picture. Many are adapting by incorporating **digital solutions** and forming partnerships with fintech companies. This hybrid approach aims to combine the reliability of traditional banking with the agility of fintech innovation.

### Conclusion

The landscape of startup finance is evolving, with **fintech** at the forefront. Traditional banks are adapting but must continue to innovate to remain relevant in this rapidly changing environment.

Tech in Asia (YC W15) is a media, events, and jobs platform for Asia's tech communities.

Why Fintech is Dominating Startup Finance While Traditional Banks Adapt

### A Bold New Player in RIA CRM

AdvisorCRM, launched recently in Nashville, aims to enter the saturated **RIA customer relationship management (CRM)** software market. This market has been dominated by established players like **Salesforce**, **Redtail**, **Junxure**, and **Wealthbox** since the launch of Schwab's Project C in 2010.

![Franklin Tsung: How is advisor CRM going to become actually credible?](https://ucarecdn.com/a66356b1-e1da-4b0d-92ca-7cdb9a79b851/-/crop/1119x1120/280,0/-/preview/)

While critics argue that entering this market may be futile due to saturation, **AdvisorCRM** founders **Ryan Borer** and **Leibel Sternbach** believe there is a niche for a simpler, advisor-centric CRM that meets the needs of scaling advisors. They emphasize that existing CRMs are either too generic or excessively complex and expensive, leaving a gap for their offering.

### Targeting the Underserved Market

Borer and Sternbach point to a **2023 Kitces study** showing that no other firm holds more than 5% market share, with Redtail at 26.9%, Wealthbox at 23.2%, and Salesforce at 17.3%. Their focus is on addressing the pain points of scaling advisors, providing them with the essential tools to manage their operations without the unnecessary features of larger platforms.

### The Free Model: A Double-Edged Sword

AdvisorCRM plans to attract users by offering its CRM for free to RIA's first 100 clients, with a subscription model kicking in after this initial phase. Monthly fees for firms exceeding this limit range from **$500 to $1,000**, depending on service levels. However, this free-then-upgrade approach raises concerns about maintaining margins and the perceived value of their product.

### Emphasizing Operations Over Sales

Unlike many competitors, AdvisorCRM does not market itself as a customizable solution for sales and marketing. Instead, it focuses on operational efficiency, providing pre-built workflows tailored for scaling advisors. The founders believe this targeted approach will resonate with firms looking to streamline their operations without the complexity of traditional CRM systems.

### Leveraging Artificial Intelligence

As part of its offerings, AdvisorCRM incorporates **AI** to enhance functionality, such as automating document processing and improving workflow efficiency. However, the founders caution that AI must be managed carefully to set proper user expectations.

### Aiming for Growth

Currently, AdvisorCRM is onboarding several hundred advisors and aims to reach **1,000 active users by the end of 2024**. The company has established connections with major RIA vendors, ensuring its platform can integrate seamlessly into existing workflows.

For more insights on AdvisorCRM and its potential impact on the RIA CRM landscape, continue reading.

AdvisorCRM is serving six RIAs and brings the old Junxure promise of design-by-RIA to market; and, for now, no VCs are calling the shots.

Can AdvisorCRM Disrupt the RIA CRM Market with a Free AI-Powered Solution?

### Reid Hoffman's New Venture
**Reid Hoffman**, co-founder of LinkedIn, became a billionaire when Microsoft acquired LinkedIn for **$26.2 billion** in 2016. He has also invested in over **80 tech startups**, including **Airbnb**, **Groupon**, and **Flickr**. Notably, he made **$111 million** from a **$37,500** investment in Facebook.

### Introducing Manas AI
Now, Hoffman is focusing on **AI in healthcare** with his new startup, **Manas AI**, launched alongside **Dr. Siddhartha Mukherjee**. Their mission? To **accelerate drug discoveries** for aggressive cancers.

**Manas AI** aims to harness the expertise of top drug development scientists and combine it with advanced **AI systems** to discover how new drugs may interact with the human body more rapidly.

### Targeting Aggressive Cancers
Initially, the startup is focusing on aggressive cancers such as **breast cancer**, **prostate cancer**, and **lymphoma**. Its long-term vision is to transform the industry's approach to discovering and developing new medicines.

Hoffman emphasized the personal connection many have with cancer, stating, "If we can make a huge difference on this... AI can be great for humanity."

![Reid Hoffman](https://assets.entrepreneur.com/images/misc/1738619773_Reid-Hoffman-1833911986.jpg?width=1000)
*Reid Hoffman at The Midway SF on December 05, 2023. Photo by Kimberly White/Getty Images for WIRED*

### Funding and Operations
So far, **Manas AI** has raised **$24.6 million** in seed funding, led by Hoffman and **General Catalyst**. The AI systems will be operated in **Microsoft-owned data centers**.

### The Team Behind Manas AI
Dr. Mukherjee, a professor at Columbia University and author of *The Emperor of All Maladies*, previously co-founded **Vor BioPharma** and **Myeloid Therapeutics**. Together, he and Hoffman aim to bridge the gap between **AI** and **biotechnology**.

Hoffman describes his role as the "**AI guy**" while Mukherjee is the "**bio guy**", highlighting the need for collaboration between these two fields.

### The AI Healthcare Landscape
The **AI healthcare sector** saw significant investments in 2024, with **$10.5 billion** funneled into **511 healthcare AI deals**. Among these, cancer screening AI startup **Freenome** raised **$254 million** in February 2024, showing the growing interest and investment in this space.

LinkedIn co-founder Reid Hoffman and Dr. Siddhartha Mukherjee are co-founders of a new biotech startup that uses AI to unlock speedier drug discoveries for aggressive cancers. 

Rad AI Secures $525 Million Valuation in Latest Funding Round: What You Need to Know

Summary:

Rad AI's Impressive Funding Round

What This Means for Rad AI

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