Cast AI secures $108 million funding to expand cloud automation
By Akash Sriram
(Reuters) -Cast AI, a Miami-based startup that helps businesses automate cloud infrastructure management, said on Wednesday it has raised $108 million in a late-stage funding round led by G2 Venture Partners and SoftBank Vision Fund 2.
The oversubscribed round, which also saw participation from existing investors such as Aglaé Ventures, valued the company at $850 million, a person familiar with the matter said.
This brings Cast AI's total funding to over $180 million, as it looks to expand to more markets and cater to growing demand.
The company helps businesses reduce cloud costs and improve performance by automating how applications use cloud resources like CPUs and GPUs.
Cast AI said demand is rising quickly as more organizations adopt AI tools and struggle with the high cost of cloud computing.
"Reducing costs is key. But it's not just about costs—it's about automatically finding the right models and availability of GPUs and CPUs, maintaining performance and cutting costs," Cast AI founder Laurent Gil told Reuters.
"Over the past six months, we have seen a major acceleration in demand for Kubernetes automation as AI adoption surged."
Kubernetes is an open-source tool that helps manage apps on the cloud.
Cast AI counts 2,100 companies around the world as customers and some large clients include Akamai, German automaker BMW, FICO and HuggingFace.
The company said the new funding will be used to expand its automation platform, hire more talent and reach more global customers.
Its new backers, including SoftBank and G2, also invest in AI companies such as OpenAI and Crusoe Energy Systems. The ChatGPT creator, SoftBank and cloud firm Oracle are key partners behind the $500 billion Stargate project to build several data centers in the United States.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Time Business News
23 minutes ago
- Time Business News
TeamDesk Integration with OpenAI- A Guide to Unlocking AI-Powered Efficiency
In today's fast-paced digital world, businesses are constantly looking for ways to optimize workflows and improve decision-making. TeamDesk, a powerful online database system, enables businesses to organize and manage data effectively. However, integrating TeamDesk with OpenAI can take data management to a whole new level by introducing AI-powered automation, insights, and intelligent decision-making. This article explores the benefits of integrating TeamDesk with OpenAI, potential use cases, and step-by-step instructions on how to set up this integration for enhanced business performance. Benefits of Integrating TeamDesk with OpenAI By linking TeamDesk with OpenAI, businesses can unlock numerous advantages, such as: Automated Data Processing: AI models can analyze vast amounts of data stored in TeamDesk, extract insights, and generate reports automatically. Natural Language Processing (NLP): OpenAI's NLP capabilities allow businesses to interpret unstructured text data, classify customer queries, and provide sentiment analysis. Enhanced Customer Support: AI-powered chatbots can interact with customers using data stored in TeamDesk, ensuring accurate and contextual responses. Predictive Analytics: Businesses can forecast trends, customer behaviors, and sales patterns using OpenAI's predictive capabilities. Document Generation: AI can generate contracts, reports, and summaries based on data from TeamDesk. Task Automation: AI-driven automation reduces manual effort in processing and updating records within TeamDesk. Use Cases for TeamDesk and OpenAI Integration 1. AI-Powered Data Analysis Organizations can use OpenAI to analyze large datasets stored in TeamDesk and derive meaningful insights. For example, an HR department can process employee feedback and extract key sentiment trends. 2. Automated Report Generation Instead of manually compiling reports, OpenAI can generate executive summaries, sales reports, and performance evaluations based on structured data from TeamDesk. 3. Customer Support Automation Integrating OpenAI with TeamDesk allows businesses to deploy AI chatbots that fetch real-time data from the database, offering customers accurate and quick responses. 4. Email Automation OpenAI can draft and personalize email responses based on customer interactions stored in TeamDesk, ensuring better engagement and efficiency. 5. Fraud Detection & Risk Management With AI's pattern recognition capabilities, businesses can identify unusual activities and flag potential fraudulent transactions in their database. Steps to Integrate TeamDesk with OpenAI To successfully integrate TeamDesk with OpenAI, follow these steps: Step 1: Set Up API Access for TeamDesk TeamDesk provides API access to interact with external applications. To enable API access: Log into TeamDesk. Navigate to Setup > Integrations > API Access. Generate an API key to allow external applications (such as OpenAI) to interact with TeamDesk. Note down the API endpoint for retrieving and updating records. Step 2: Obtain OpenAI API Key To use OpenAI's capabilities: Visit OpenAI's website and sign up for an API key. Choose the AI model you want to use (GPT-4, GPT-3.5, or fine-tuned models). Save the API key securely for later use. Step 3: Connect TeamDesk and OpenAI Using a Middleware Since TeamDesk and OpenAI use different APIs, middleware such as Zapier, Make (formerly Integromat), or custom scripts can help connect them. Using Zapier: Create a Zap and select TeamDesk as the trigger. Choose an event (e.g., 'New Record Created' or 'Updated Record'). Select OpenAI as the action app and define the task (e.g., 'Summarize Text' or 'Generate Email Response'). Map the fields between TeamDesk and OpenAI. Activate the Zap to automate the workflow. Step 4: Develop a Custom Integration (Optional) For more control, businesses can develop a custom integration using Python or JavaScript. Example: Python Script for TeamDesk & OpenAI Integration import requests def get_teamdesk_data(): teamdesk_url = ' headers = {'Authorization': 'Bearer YOUR_TEAMDESK_API_KEY'} response = headers=headers) return def send_to_openai(prompt): openai_url = ' headers = {'Authorization': 'Bearer YOUR_OPENAI_API_KEY', 'Content-Type': 'application/json'} data = {'model': 'gpt-4', 'prompt': prompt, 'max_tokens': 200} response = headers=headers, json=data) return data = get_teamdesk_data() prompt = 'Summarize this customer feedback: ' + str(data) result = send_to_openai(prompt) print(result['choices'][0]['text']) Step 5: Test and Deploy After setting up the integration: Test the workflow to ensure seamless data transfer. Optimize the AI model's responses for accuracy. Deploy the integration and monitor performance. Conclusion Integrating TeamDesk with OpenAI enables businesses to leverage AI for automating workflows, enhancing customer service, and driving data-driven decision-making. Whether through no-code platforms like Zapier or custom-built Python scripts, this integration can transform business operations. By combining the power of structured databases with AI-driven insights, organizations can boost efficiency, reduce manual tasks, and enhance productivity. Ready to take your data management to the next level? Start integrating TeamDesk with OpenAI today! TIME BUSINESS NEWS
Yahoo
24 minutes ago
- Yahoo
Cathie Wood sells $9.5 million of popular AI stocks after big rally
Cathie Wood sells $9.5 million of popular AI stocks after big rally originally appeared on TheStreet. Cathie Wood is known for making bold bets on the future of technology, and just as known for cashing out when the timing feels right. In the past week, the chief of Ark Investment Management trimmed some high-flying stocks, including one stock that's skyrocketed more than 270% and another that's climbed over 80% year-to-date. 💵💰Don't miss the move: Subscribe to TheStreet's free daily newsletter 💰💵 Wood's funds have been through a volatile ride this year, swinging from strong gains to sharp losses, and now back to outperforming the broader market. In January and February, the Ark funds rallied as investors bet on the Trump administration's potential deregulation that could benefit Wood's tech bets. But the momentum faded in March and April, with the funds trailing the market as top holdings—especially Tesla, her biggest position—slid amid growing concerns over the macroeconomy and trade policies. Now, the fund is regaining momentum. As of June 13, the flagship Ark Innovation ETF () is up 8% year-to-date, outpacing the S&P 500's 1.6% gain. Wood had a remarkable gain of 153% in 2020, which helped build her reputation and attract loyal investors. Still, her long-term performance has made many others skeptical of her aggressive style. As of June 13, Ark Innovation ETF, with $5.5 billion under management, has delivered a five-year annualized return of 0.4%. In comparison, the S&P 500 has an annualized return of 16.2% over the same period. Wood's investment strategy is straightforward: Her Ark ETFs typically buy shares in emerging high-tech companies in fields such as artificial intelligence, blockchain, biomedical technology, and robotics. Wood says these companies have the potential to reshape industries, but their volatility leads to major fluctuations in Ark funds' Ark Innovation ETF wiped out $7 billion in investor wealth over the 10 years ending in 2024, according to an analysis by Morningstar's analyst Amy Arnott. That made it the third-biggest wealth destroyer among mutual funds and ETFs in Arnott's ranking. Wood recently said the U.S. is coming out of a three-year 'rolling recession' and heading into a productivity-led recovery that could trigger a broader bull market. In a letter to investors published in late April, she dismissed predictions of a recession dragging into 2026, as she expects "more clarity on tariffs, taxes, regulations, and interest rates over the next three to six months." "If the current tariff turmoil results in freer trade, as tariffs and non-tariff barriers come down in tandem with declines in other taxes, regulations, and interest rates, then real GDP growth and productivity should surprise on the high side of expectations at some point during the second half of this year," she wrote. She also struck an optimistic tone for tech stocks. "During the current turbulent transition in the US, we think consumers and businesses are likely to accelerate the shift to technologically enabled innovation platforms including artificial intelligence, robotics, energy storage, blockchain technology, and multiomics sequencing," she said. Investor confidence has wavered. Over the past year, the Ark Innovation ETF saw $2 billion in net outflows, as some investors grew wary of volatility and underperformance. But in a potential sign of renewed interest, the fund brought in $250 million in fresh capital between June 7 and June 12, according to ETF research firm VettaFi. On June 11, Wood's Ark funds sold 55,829 shares of Palantir Technologies () . That chunk of stock was valued at roughly $7.6 million. Palantir is known for providing AI-driven data analytics software to the U.S. government, military, and commercial clients company reported stronger first-quarter revenue in May and raised its full-year outlook as demand for AI tools increased. 'We are delivering the operating system for the modern enterprise in the era of AI,' CEO Alex Karp many tech stocks have struggled this year, Palantir has stood out. Its shares are up 81.7% in 2025 and just hit a record close of $137.40 on June 13. Much of the recent momentum comes from its government work. Back in May 2024, Palantir won a $480 million, five-year U.S. Army contract to build its Maven Smart System, which is a battlefield AI prototype. Last month, the Defense Department modified the contract, increasing the licensing ceiling from $480 million to $1.275 billion. Palantir's Foundry platform has been adopted by at least four federal agencies, including the Department of Homeland Security and the Department of Health and Human Services, according to a New York Times report published May 30. Fannie Mae also announced a partnership with Palantir in May to work on AI-based fraud detection. Palantir remains a core position for Wood even after recent sales. The stock is now the 8th largest holding in the ARK Innovation ETF, accounting for 4.7%. Wood said in February that she's moving away from hardware and infrastructure and doubling down on software, with Palantir as one of her top picks. 'Palantir is a very expensive stock, but there's nothing like it in the software space,' Wood said in a CNBC interview. 'It is, we believe, going to dominate the biggest part of the tech stack when it comes to AI. And that's the platform as a service part of the stack.' Another big trade Wood made on June 11 was selling 12,728 shares of CoreWeave Inc. () , valued at roughly $1.9 million. CoreWeave is a cloud infrastructure company specializing in GPU-accelerated computing for artificial intelligence and machine learning workloads. The company has delivered explosive growth and won support from Nvidia and March 28, CoreWeave launched its initial public offering, which was one of the largest AI-related listings since 2021. Since then, the stock is up more than 277%. That company is now Nvidia's largest holding, making up more than 78% of its disclosed portfolio. In the first quarter this year, Nvidia bought 24,182,460 shares after the IPO, according to data from WhaleWisdom based on 13F filings. On May 14, CoreWeave reported better-than-expected revenue on Wednesday in the company's first earnings release since going public. CoreWeave reported a 420% year-over-year revenue increase to $981.6 million for the first quarter. Despite this growth, the company's net loss widened to $314.6 million from $129.2 million a year earlier, partly driven by $177 million in stock-based compensation linked to its IPO. Bloomberg reporter Ryan Vlastelica commented that CoreWeave and Palantir are drawing comparisons to meme stocks after sharp rallies. But unlike GameStop, both are backed by strong demand. Still, valuations are a concern. Palantir trades at 71 times estimated sales, the highest in the S&P 500. CoreWeave, despite a $315 million loss last quarter, is valued at 10 times projected sales, well above the S&P 500's average of 3, Bloomberg reported. CoreWeave is not in Ark Innovation's top 10 holdings. Wood's recent trades also include buying shares of GitLab () , selling Kratos Defense () and Roblox () .Cathie Wood sells $9.5 million of popular AI stocks after big rally first appeared on TheStreet on Jun 15, 2025 This story was originally reported by TheStreet on Jun 15, 2025, where it first appeared.


Axios
25 minutes ago
- Axios
Exclusive: Zorro clinches $20M Series A for ICHRA health plans
Health benefits provider Zorro raised $20 million in Series A funding led by Entrée Capital, CEO Guy Ezekiel tells Axios exclusively. Why it matters: As employers wrestle with rising health plan costs, individual coverage health reimbursement arrangements (ICHRAs) are gaining steam. Driving the news: Launched in 2020, ICHRAs were enabled by a Trump-era rule letting employers reimburse employees tax-free for individual health insurance instead of offering group plans. After a slow start, rule clarifications and compliance tools made them more accessible to midsized employers. Follow the money: Existing backers Pitango and 10D joined the round, which will be used to scale operations and improve support for employers. The Series A brings Zorro to $31.5 million total raised. The company is not yet profitable. How it works: New York City-based Zorro replaces traditional group plans with defined-contribution models. Employers set a budget; employees use Zorro's AI engine to select personalized plans, and brokers get real-time tools to compare group plans versus ICHRA-based options. When it onboards an employer, Zorro asks them to send their benefits roster from the previous year, asks about quality and budget priorities for the upcoming year, and helps predict what benefits employees might want next. Zorro has "several thousand" lives on the platform, per Ezekiel. Between the lines: Zorro's pitch hinges not just on cost control but on its ability to shift complex decision-making from HR to software — claiming that 75% of users enroll without human help. What they're saying: "We're giving the employer a line of sight to how his upcoming year is going to look," says Ezekiel. Reality check: While ICHRAs are gaining traction, they remain a small fraction of the employer market. Zorro's long-term success depends on widespread broker adoption and employee trust in AI-led benefit decisions. State of play: A February Bailey's report predicted the debut of several new ICHRA startups in 2025. Several others have secured recent funding. In April, Thatch raised $40 million in Series B funding led by Index Ventures and Venteur Health Insurance raised a $20 million Series A led by Informed Ventures and American Family Ventures. Remodel Health last December collected more than $100 million in a round led by Oak HC/FT and Hercules Capital.