CLNM Capital Newsletter

This week’s AI investment landscape is buzzing with activity, from mega-rounds fueling healthcare innovation to stealth launches targeting enterprise automation, and bold moves in AI-native search. Below is a snapshot of the most notable funding highlights, spotlighting the sectors drawing the most investor attention and the companies shaping AI’s next wave.

Healthcare AI saw a surge in funding activity this week, led by Abridge’s announcement that it will channel 80% of the $700 million raised in the past 18 months into technology expansion and strategic acquisitions, cementing its $5.3 billion valuation. Arintra added to the momentum with a $21 million Series A led by Peak XV Partners to scale its generative AI-native medical coding platform. These moves highlight how investors are backing AI solutions aimed at streamlining clinical workflows, improving documentation accuracy, and reducing administrative burdens in healthcare. The trend underscores healthcare’s status as one of AI’s fastest-growing and most commercially promising verticals.

🔗 Read more on Business Insider and Arintra

🔗 Abridge

Enterprise AI and API automation made headlines this week with Refold AI’s emergence from stealth, backed by $6.5 million in seed funding from Eniac Ventures and Tidal Ventures. The company is building AI-powered tools to streamline enterprise API integrations, aiming to cut complexity and speed up system connectivity for businesses. This funding signals growing investor interest in automation infrastructure that enhances interoperability across enterprise platforms. It also reflects a shift toward AI-driven middleware as a key enabler for digital transformation.

🔗 Read more on The Economic Times

🔗 Refold AI

AI Search & Browsing saw a major development this week as Perplexity began raising funds at a $20 billion valuation, marking a $2 billion jump since July. The company made waves with a $34.5 billion nonbinding bid for Google Chrome, signaling bold ambitions to reshape web browsing. Its AI-native browser, “Comet,” combined with an annual recurring revenue exceeding $150 million, showcases strong commercial traction. These moves position Perplexity as a key contender in redefining how users search, explore, and interact with the web.

🔗 Read more on Business Insider

🔗 Perplexity

🏥 Arintra

🕵️‍♂️ Tavily

📄 Mako

🛠️ Refold AI

🔎 Perplexity AI

🛠️ Legion

🕵️‍♂️ Tavily

📄 Mako

➡ Will Perplexity’s AI-native browser “Comet” reshape the search and browsing landscape, and could it trigger competitive responses from Google or Microsoft?

➡ Can enterprise AI and automation startups like Refold AI and Legion accelerate API integration and infrastructure modernization across large organizations?

➡ Will healthcare AI companies such as Arintra and Abridge continue to attract massive funding, and how quickly will their solutions reduce administrative burdens in clinical workflows?

➡ Are we seeing a broader shift towards AI-driven document processing and agent search, and what does this mean for efficiency and productivity in knowledge-intensive industries?

💸 Generative AI Boom Faces “Productivity Paradox” in Corporates

Corporate spending on generative AI is surging, with investments expected to reach $61.9 billion this year, but most companies report little impact on their bottom line, echoing the historical “productivity paradox.” Many AI projects fail due to technical challenges, employee resistance, or lack of skills, and the technology is entering Gartner’s predicted “trough of disillusionment.” While tech giants like Microsoft, Google, and Nvidia benefit directly, some companies—such as USAA, Johnson Controls, and JPMorgan Chase—are seeing modest efficiency gains in customer service, field operations, and office tasks. Experts emphasize that widespread economic payoff will take years, requiring iterative learning and careful integration. Early failures are seen as part of the innovation process, with companies gradually identifying what works best.

🔗 Read more on The New York Times

🤖 Foxconn Reports Record AI-Driven Profit Surge, Expands Server Production

Foxconn reported a 27% year-on-year increase in second-quarter profit, reaching T$44.4 billion ($1.48 billion), driven by a surge in demand for AI servers. For the first time, revenue from AI servers surpassed that from smart consumer electronics, such as iPhones. The company anticipates a 170% year-on-year rise in AI server revenue in the third quarter. In response, Foxconn plans to increase capital spending by over 20% in 2025 to expand server production in Texas and Wisconsin. Despite challenges from U.S. tariffs and currency fluctuations, the company remains optimistic about AI-driven growth.

🔗 Read more on Reuters

🧠 Meta’s FAIR Unveils TRIBE: 1B-Parameter AI Predicts Brain Responses to Movies, Wins Algonauts 2025

TRIBE (TRImodal Brain Encoder) is a deep neural network that predicts whole-brain fMRI responses across text, audio, and video stimuli. By integrating multimodal representations with a transformer to capture temporal dynamics, it outperforms unimodal models, particularly in high-level associative cortices. TRIBE won first place in the Algonauts 2025 brain encoding competition, demonstrating its ability to model complex brain activity. This approach advances the development of unified, integrative models of human perception and cognition.

🔗 Read more on X and Cornell University

That’s it for this week.

Until next time,

The CLNM Capital