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Los Angeles-based medtech startup ANUEVO has raised $22 million in a Series C funding round, led by Catcher Technology Co. Ltd., as it advances its non-invasive neuromodulation technology for patients with spinal cord injuries.The funding marks a key milestone in the company’s growth, providing capital to strengthen its manufacturing capabilities, quality systems, and regulatory infrastructure as it prepares for broader commercialization.ANUEVO is developing the ExaStim Stimulation System, a portable neurostimulation device designed to support functional neurorehabilitation for individuals with paralysis caused by spinal cord injuries. The system delivers targeted electrical stimulation through a multi-electrode array along the spinal cord and is operated via proprietary software on a mobile device, enabling personalized therapy.The company has already secured CE mark approval in the European Union, allowing commercial deployment in approved markets, while in the United States the device remains under investigational use as it progresses through regulatory pathways.With the newly raised capital, ANUEVO plans to scale manufacturing, expand sales in approved markets, advance U.S. regulatory efforts, and continue clinical and real-world evidence generation, positioning itself to accelerate adoption of its neurorehabilitation technology globally.The investment highlights growing momentum in medtech and neurotechnology innovation, particularly in non-invasive solutions aimed at improving outcomes for patients with severe neurological conditions.

US-based semiconductor AI startup Cognichip has raised $60 million in a Series A funding round, led by Seligman Ventures, as it aims to transform how chips powering artificial intelligence are designed. The round included participation from SBI Investment and existing investors such as Mayfield, Lux Capital, FPV, and Candou Ventures, bringing the company’s total funding to $93 million.Founded in 2024, Cognichip is building a new category of semiconductor technology through its proprietary Artificial Chip Intelligence (ACI®) platform, a physics-informed AI model designed specifically for chip development. Unlike traditional electronic design automation tools, the platform integrates physical constraints, circuit behavior, and manufacturing considerations directly into AI models, enabling more efficient and intelligent design processes.The company aims to address a critical bottleneck in the AI ecosystem, where chip development remains slow, expensive, and resource-intensive. Cognichip claims its approach can reduce chip design costs by over 75% and cut development timelines by more than 50%, significantly accelerating innovation in AI hardware.Its AI-driven system enables parallel and adaptive workflows, allowing engineers to explore multiple design possibilities simultaneously rather than following traditional sequential processes. This shift has the potential to reshape semiconductor development, making high-performance chip design faster, more scalable, and accessible to a broader range of companies.The newly raised capital will be used to expand its engineering and research teams, enhance its AI models, and accelerate enterprise adoption, as the company strengthens its position in the rapidly evolving AI infrastructure and semiconductor market.The funding highlights growing investor confidence in AI-native semiconductor design platforms, as demand for faster, cost-efficient, and specialized chips continues to surge in the era of advanced artificial intelligence.

Bhubaneswar-based aquaculture technology startup Aquapulse has raised ₹25 crore (approximately $3 million) in a Series A funding round, led by NABVENTURES, the venture capital arm of NABARD, through its AgriSURE Fund.The funding marks a significant step for the company as it works towards building an integrated aquaculture ecosystem in India, combining technology, infrastructure, and market access to improve efficiency across the seafood value chain.Aquapulse leverages AI-driven solutions to help fish and shrimp farmers monitor pond conditions, predict disease risks, and optimise feed usage, while also providing post-harvest services such as grading, cold chain logistics, and compliance. The platform further enables real-time price discovery and assured market linkages, helping farmers improve profitability and reduce operational risks.With the newly raised capital, the company plans to expand its farmer network, strengthen its technology infrastructure, and develop advanced processing capabilities, aimed at enhancing quality control and increasing value realization for aquaculture producers.The investment highlights growing investor interest in agri-tech and aquaculture innovation in India, particularly in solutions that drive sustainability, efficiency, and income growth for farmers through technology-led platforms.

San Francisco-based applied AI lab Depthfirst has raised $80 million in a Series B funding round, led by Meritech Capital, as it accelerates the development of AI-native cybersecurity solutions.The round also saw participation from Forerunner Ventures and The House Fund, along with continued backing from existing investors including Accel, BoxGroup, Liquid 2 Ventures, Alt Capital, and Mantis VC, bringing the company’s total funding to $120 million within a short span of time.Founded in 2024, Depthfirst is building an AI-driven security platform designed to identify and fix vulnerabilities across entire software systems. The company focuses on developing domain-specific AI models tailored for high-risk environments, enabling organizations to detect real threats and deploy fixes directly within developer workflows.Alongside the funding, the company introduced its first in-house security model, dfs-mini1, initially focused on securing cryptocurrency smart contracts. The model has demonstrated the ability to outperform existing systems while operating at 10x to 30x lower cost, highlighting the efficiency of specialized AI models in cybersecurity.Depthfirst’s platform is already gaining traction, with adoption by Fortune 500 companies and fast-growing tech firms, as organizations seek advanced tools to combat increasingly sophisticated AI-driven cyber threats.The newly raised capital will be used to expand its AI research team, train additional security models across new domains, and scale enterprise adoption, as the company positions itself at the forefront of next-generation cybersecurity infrastructure.The funding reflects a broader trend in the tech ecosystem, where AI-powered cybersecurity solutions are becoming critical as both software development and cyberattacks evolve rapidly in the AI era.

Delhi-based fintech startup Bachatt has raised $12 million in a Series A funding round, led by Accel, with participation from existing investors Lightspeed and Info Edge Ventures, as it looks to scale its AI-driven financial platform for India’s underserved segments.Founded in 2025 by Anugrah Jain, Ankur Jhavery, and Mayank Agarwal, Bachatt is building an AI-led savings and wealth management platform tailored for merchants and self-employed individuals, a segment often overlooked by traditional financial products.The company’s core offering enables users to invest small amounts starting as low as ₹100-into debt mutual funds, with flexible features such as instant withdrawals, top-ups, and variable contributions designed for users with irregular cash flows.Since its launch in 2025, Bachatt has scaled rapidly, claiming over 3 million users and processing millions of mutual fund transactions, highlighting strong demand for simplified and accessible financial tools in India’s large informal economy.The newly raised capital will be used to expand its savings platform and launch new AI-led wealth advisory and credit solutions, aiming to serve India’s 300 million+ merchant and self-employed population with tailored financial products.The funding reflects a broader trend in India’s fintech ecosystem, where startups are leveraging AI and flexible financial models to address gaps in traditional banking, particularly for users with non-salaried and variable income streams.

New York-based healthtech startup Blossom Health has raised $20 million across Seed and Series A funding rounds, as it looks to expand its AI-powered psychiatry platform and improve access to mental healthcare.The round was led by Headline, with participation from Village Global, TA Ventures, Operator Partners, and Correlation Ventures, along with a group of angel investors from leading tech and healthcare companies.Founded in 2024 by John Zhao, Blossom Health is building an AI-native operating system for psychiatry that combines clinical decision support with automated administrative workflows. The platform uses AI “copilots” to assist psychiatrists with diagnosis, treatment planning, and patient monitoring, while also handling time-consuming tasks such as documentation, billing, and scheduling.The company is addressing a major bottleneck in mental healthcare, where clinicians often spend nearly half their time on non-clinical work, limiting patient access and increasing wait times. Blossom’s solution aims to increase provider capacity and deliver faster, more continuous care, with patients often able to access treatment within days.Blossom Health has already gained early traction, with its platform used by hundreds of clinicians treating over 10,000 patients across multiple US states. The newly raised capital will be used to expand into additional states, deepen partnerships with insurers, onboard more clinicians, and further develop its AI capabilities.The funding reflects a growing trend of investment in AI-driven healthcare infrastructure, particularly solutions that augment clinicians rather than replace them, enabling scalable and high-quality care delivery in underserved sectors like mental health.