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Otter.ai Raises $320 Million in Funding: No Equity Sold, Repayment From New Customer Revenue

1 hours ago

Insight Beating AI Express: AI meeting recording firm Otter.ai has secured a $320 million growth funding round from General Catalyst’s Customer Value Fund. Unlike traditional equity financing, the fund provides capital for sales and customer acquisition, with principal and agreed returns recovered from revenue generated by new related clients. This structure does not dilute existing shareholders’ equity, and capital recovery is tied to customer acquisition performance. Otter.ai plans to expand its sales and marketing budget two to threefold, aiming to at least double its enterprise business revenue by 2027. The company crossed $100 million in annual recurring revenue (ARR) back in March 2025, but did not disclose its latest revenue figures in this announcement. Otter.ai claims it has over 40 million cumulative users, with 86% of Fortune 500 companies having at least one employee using its product. However, most of these users are organic adopters rather than paid enterprise customers, and the company hopes to convert them into formal enterprise clients. On the product front, Otter.ai has launched real-time AI assistance during meetings, and is testing pre-meeting automated briefings, while also leveraging historical meeting data to enhance real-time Q&A capabilities. The enterprise market faces a privacy hurdle: Reddit threads have seen corporate IT administrators discussing how to block recording bots like Otter.ai that automatically join meetings. Otter.ai has also faced class-action lawsuits over alleged unauthorized recording of all meeting participants. In August this year, a U.S. court allowed multiple privacy claims to proceed, but has not yet ruled the company liable for wrongdoing.

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A U.S. judge has dismissed a civil lawsuit alleging sexual abuse against OpenAI’s CEO, which was filed by the executive’s sister.

Beating AI Express News: According to Reuters, a U.S. judge has dismissed the sexual abuse civil lawsuit against OpenAI CEO Sam Altman, which was filed by his sister.

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Rumors of a SpaceX-Tesla merger are heating up, with Wall Street estimating a deal at $480 per share.

As SpaceX and Tesla prepare to release their third-quarter financial results, Wall Street is stepping up efforts to evaluate the valuation and financing arrangements for a potential merger of the two companies. However, Musk and his related firms have not officially announced any merger plans yet. Barclays analysts predict the two sides may announce a deal before the end of this year. If the merger is all-stock, Musk would hold around 37% of the combined company’s equity and approximately 56% of voting rights. RBC analysts put forward a hypothetical transaction price of $480 per share; according to their calculations, original SpaceX shareholders would hold roughly 52% of the combined company’s shares. All related analyses do not represent actual transaction arrangements. AI business is seen as the main rationale for potential integration. SpaceX absorbed Musk’s AI firm xAI in February this year, and has built out its presence in rocket launches, Starlink satellite internet, and AI computing infrastructure. Tesla, meanwhile, focuses on autonomous driving, robotaxis, and humanoid robots, and the two companies are also jointly advancing the Terafab chip manufacturing project. That said, SpaceX’s AI investments have led to massive financing needs. Reports indicate the company generated $7.8 billion in revenue in the second quarter, with a net loss of $541 million, and AI capital expenditures reached $15.8 billion. Morgan Stanley analysts expect SpaceX may need to issue around $80 billion in debt next year. At the same time, Starlink expansion and spectrum acquisitions will also increase capital outlays. This week’s earnings reports will serve as a key window for the market to assess SpaceX’s financing pressure, Starlink’s profitability, and the feasibility of a potential integration of the two companies.

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AI computing company Tenstorrent closes $1.5 billion Series E funding round, with participation from Tether Capital and other investors.

Beating AI News Flash: AI computing firm Tenstorrent has closed a $1.5 billion Series E funding round, with participation from Tether Capital and other investors, valuing the company at $6.2 billion. Led by chip architect Jim Keller, Tenstorrent develops high-performance AI processors, servers and software, aiming to provide more open AI computing infrastructure for developers and enterprises. The company plans to use the funds to scale production and deployment of its Galaxy server system, advance AI and CPU technology R&D, and expand global commercial operations. Its technology already serves clients including Samsung and LG, with applications spanning large language models, video generation and other fields. Tether CEO Paolo Ardoino stated that AI should not rely on a small number of tech companies for computing power, noting that open computing infrastructure will help expand AI accessibility. This investment also continues Tether’s footprint in the AI sector; its open-source AI platform QVAC is dedicated to enabling AI to run directly on user devices, reducing reliance on centralized cloud services.

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Report: Stablecoins average over $400 million in transfers per hour, with 73% of transactions occurring outside U.S. banking hours.

Coinbase has released a report titled "The Always-On Dollar", which notes that in Q3 2026, the average hourly transaction volume of organic stablecoin transfers exceeded $400 million. For the 12-month period ending July 31, approximately 73% of screened stablecoin transfer volume occurred outside U.S. banking hours, highlighting the demand for always-on stablecoin payments. The report shows that adjusted quarterly stablecoin transfer volume has quadrupled since early 2023, reaching $891 billion in Q3 2026. At the current growth rate, this figure is expected to hit $1.5 trillion by the end of 2027. The report also points out that sending $200 via USDC on the Base network saves around 86% in fees compared to traditional payment channels. Additionally, if 80% of global international transactions shift to stablecoin payment networks, global annual GDP could rise by an extra $155 billion. Looking ahead, the report positions stablecoins as a critical payment infrastructure for the AI agent economy. McKinsey forecasts that by 2030, AI agents will drive $3 trillion to $5 trillion in global B2C transactions, and stablecoins can support small transactions including paying task fees between agents, purchasing API calls, and accessing data and computing power on demand.

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Viewpoint: Bitcoin is currently in a phase where both buyers and sellers are hesitant, and market confidence is being rebuilt.

Crypto market analyst Darkfost noted that the Bitcoin market is currently in a phase of low investor confidence and hesitation among both buyers and sellers. The current profit supply ratio has dropped from its earlier brief break above 60% to 53.8%, approaching the 50% break-even line. This metric excludes Bitcoin held for more than 10 years to better reflect the current state of the circulating market. Such a scenario is not uncommon in the late stages of a bear market. After the market goes through sell-offs and capitulation phases, and the profit supply ratio falls below 40%, it typically takes time for the metric to climb back above 50%. The recovery of investor confidence and the formation of new demand will take time; the market still needs to wait for investor behavior to gradually stabilize to drive a sustained improvement in profit conditions.

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Reuters poll: 100 economists unanimously expect the Federal Reserve to raise interest rates in December.

Reuters survey shows that all 100 surveyed economists expect the Federal Reserve to raise interest rates in December 2026, with a likely pause in October. Among them, 94 economists forecast the federal funds rate will rise to 4.00%–4.25% by the end of 2026. By contrast, only 29 economists held that expectation in the September survey, which had 76 respondents.

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