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Rime, a San Francisco-based voice AI startup, has successfully raised $24 million in a Series A funding round led by M13 Ventures. Founded in 2022 by Lily Clifford, Brooke Larson, and Ares Geovanos, Rime aims to improve enterprise customer interactions by utilizing its own conversational data to train voice models, reducing the customization burden for clients. The significance of Rime's approach lies in its focus on enhancing voice AI technology to better compete with traditional IVR systems, which many enterprises still prefer. Rime's phoneme-based architecture allows for accurate pronunciation of brand names and industry-specific terms, making it easier for clients to implement without extensive retraining. Looking ahead, Rime plans to expand its team and shift its focus towards developing advanced speech-to-speech models to improve call interactions. The company has already secured contracts with notable clients such as Mayo Clinic and Dialpad, indicating a strong market presence. No further timeline was disclosed at the time of publication.
TechCrunch By Ivan Mehta Jul 15, 2026 AI Fundraising M13 Ventures Rime voice AI
AI security startup HiddenLayer has successfully raised $100 million in a Series B funding round led by Delta-v Capital. This funding comes as enterprises increasingly prioritize securing their AI deployments, with Gartner projecting a significant rise in spending on AI security tools, expected to reach nearly $4.78 billion next year. The surge in demand for AI security solutions is driven by the growing recognition of potential vulnerabilities in AI models and workflows. HiddenLayer's co-founder and CEO, Chris Sestito, noted that the company's annual recurring revenue has increased more than tenfold over the past year, primarily due to new customer acquisitions in sectors like financial services and large tech companies. Looking ahead, HiddenLayer plans to utilize the new funding to expand its product offerings and enhance its sales and distribution efforts. The company aims to address emerging threats such as prompt injection and malicious tool use, while also exploring opportunities in the European and EMEA markets. No further timeline was disclosed at the time of publication.
TechCrunch By Ram Iyer Sep 02, 2026 AI Fundraising Security Delta-v Capital HiddenLayer M12
Nemotron Labs highlights the advantages of open models in developing specialized AI systems tailored to enterprise needs. By utilizing NVIDIA platforms, businesses can create AI that improves workflows and meets high standards for accuracy and trust. The flexibility of open models allows organizations to customize and control their AI applications, ensuring they align with specific business requirements. The significance of open models lies in their ability to provide enterprises with full ownership and control over their AI systems. Unlike closed models, which limit inspection and tuning, open models enable organizations to evaluate performance against their own data and workflows. This is particularly crucial in sectors like healthcare and legal, where accuracy and transparency are paramount. Looking ahead, companies are increasingly adopting Nemotron to enhance their domain-specific AI capabilities. As enterprises continue to specialize their models, the focus will be on improving efficiency and accuracy through customization. No further timeline was disclosed at the time of publication.
NvidiaNews By NVIDIA Jul 14, 2026RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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