Ema, the first agentic AI platform designed exclusively to transform women’s health, has closed its latest funding round, bringing total funding to over $3 million. Powered by a proprietary dataset of 10 million interactions between women and physicians, Ema’s innovative AI platform addresses women’s health needs across life stages, from the first period to post-menopause.
UnifyCloud, a global leader in cloud and AI transformation, has unveiled a game-changing update to its flagship CloudAtlas platform: the AI Factory. This innovative feature allows businesses and partner organizations to rapidly identify AI use cases and transform them into actionable AI proof-of-concepts (POCs). With a seamless transition from pilot to production in just weeks, the AI Factory is set to redefine how organizations adopt and scale AI-driven solutions.
Narrative, a leader in data collaboration and commerce, has announced a groundbreaking suite of enhancements designed to democratize AI development. Key among these advancements is a new Large Language Model (LLM) fine-tuning capability that empowers businesses to customize AI models directly on the Narrative platform. Alongside this, the company introduced Rosetta Stone™ 2.0, an upgraded data normalization tool engineered using the same fine-tuning features now available to customers.
Grove AI, a next-generation clinical trial management company, has raised $4.9 million in seed funding, led by A* with support from Afore Capital, LifeX Ventures, Pear VC, Upfront Ventures, and industry-leading angels. This funding will enable Grove to scale its team and product, addressing inefficiencies in clinical trials by creating participant-centered ecosystems powered by real-time data and AI-driven insights.
Stellar, a leader in AI-driven business solutions, announced a successful $2.7 million seed funding round to enhance its sales, marketing, and data engineering capabilities. This funding supports Stellar’s mission to empower businesses to integrate generative AI (genAI), Large Language Models (LLMs), and machine learning (ML) seamlessly into their operations.
