Daily AI Grants Roundup – March 05, 2026
Stay updated with the latest in AI grants. Here are the top picks for today, curated and summarized by HappyMonkey AI.
Levitate Secures $16M to Scale Relationship AI Tools
Levitate has raised $16 million in funding from Harbert Growth Partners to scale its AI-driven relationship marketing platform.
Why it matters: A software developer building AI tools should care because this funding highlights growing demand for AI solutions in marketing, offering opportunities to innovate and improve user engagement through intelligent personalization.
The Franklin’s path to purposeful innovation
The Rosalind Franklin Institute is refining its science strategy to balance blue-skies discovery with practical applications, focusing on transformative tools for drug discovery through collaborative, bottom-up innovation driven by its scientists.
Why it matters: A software developer building AI tools should care because the institute’s focus on integrating technology with life sciences creates opportunities to develop and deploy impactful AI solutions in drug discovery.
Jensen Huang says Nvidia is pulling back from OpenAI and Anthropic, but his explanation raises more questions than it answers
Nvidia CEO Jensen Huang announced that Nvidia’s investments in OpenAI and Anthropic will end once the companies go public, citing strategic ecosystem expansion. However, analysts question whether this decision is driven by financial prudence or concerns over a potential investment bubble due to circular funding arrangements.
Why it matters: A software developer building AI tools should care because shifts in major tech investments like Nvidia’s can signal changes in AI infrastructure availability, pricing, and innovation direction—directly impacting tool development and scalability.
Grants Online
Grants Online is a comprehensive UK-based platform that provides up-to-date information on grant funding opportunities from government, local authorities, foundations, and other sources, offering proactive alerts and advanced search features by region, category, or funding type.
Why it matters: A software developer building AI tools should care because Grants Online highlights emerging funding for innovation and research, which can support the development and deployment of AI solutions in public and private sectors.
Shaping AI design through the humanities
A new UKRI-funded research call encourages interdisciplinary work between the humanities and technical fields to improve AI’s ability to handle nuance, context, and cultural diversity in areas like healthcare, climate action, and democratic debate. The initiative uses facilitated workshops to co-develop AI systems that respect multiple perspectives and local knowledge.
Why it matters: Software developers building AI tools should care because incorporating humanities insights ensures their tools are more culturally sensitive, context-aware, and ethically sound in real-world applications.
How 1,000+ customer calls shaped a breakout enterprise AI startup
David Park’s enterprise AI startup Narada uses large language models to automate complex workflows and intentionally delayed fundraising to avoid wasting money on ineffective initiatives, focusing instead on product-market fit through iterative development.
Why it matters: A software developer building AI tools should care because prioritizing product-market fit over early fundraising leads to more effective, sustainable innovation and reduces costly missteps in development.
Evervault Raises $25M Series B for Data Encryption Platform
Evervault has raised $25 million in Series B funding led by Ribbit Capital to scale its encrypted infrastructure for securely managing sensitive data.
Why it matters: A software developer building AI tools should care because secure, encrypted data management is essential to protect user privacy and ensure compliance with data regulations when handling sensitive information.
Lio raises $30M from Andreessen Horowitz and others to automate enterprise procurement
Lio raised $30 million in a Series A funding round to develop AI-powered agents that automate enterprise procurement, addressing manual and fragmented processes that slow down business operations. The company aims to streamline vendor purchasing by handling the entire procurement workflow with intelligent software.
Why it matters: Software developers building AI tools should care because Lio’s success demonstrates real-world demand for AI-driven automation in core enterprise functions like procurement, offering a clear use case and market validation.
Mathematical models turn patient data into life-saving insight
Mathematical and computational models developed by the CHIMERA hub at UCL help interpret and predict critical patient changes in intensive care units, enabling faster, more informed clinical decisions. The research bridges gaps between clinicians and scientists by transforming underused ICU data into clinically actionable insights through collaboration across disciplines.
Why it matters: A software developer building AI tools should care because understanding the biological and clinical context of medical data ensures their models are accurate, trustworthy, and directly useful in real-world healthcare settings.
Decagon completes first tender offer at $4.5B valuation
Decagon, an AI-powered customer support startup, has completed its first employee tender offer at a $4.5B valuation, enabling employees to sell vested shares. This move reflects broader trends in the AI sector where rapid growth and investor interest drive liquidity for teams. Similar offers have been made by other AI startups like ElevenLabs and Linear to attract and retain talent.
Why it matters: A software developer building AI tools should care because employee retention and attraction are critical in a competitive AI market, and offering equity liquidity can boost team morale and innovation.
Improving the environmental sustainability of research
UKRI hosted a European workshop focusing on reducing the environmental impact of research, building on initiatives like the Heidelberg Agreement and the Concordat. The event highlighted efforts from across sectors, including supply-chain sustainability, and introduced SPARK-Hub as an open-source platform to standardize sustainable practices in research.
Why it matters: A software developer building AI tools should care because AI systems can significantly impact environmental costs through energy use and emissions; integrating sustainability principles like those in SPARK-Hub ensures responsible development and aligns with global environmental goals.
Meta sued over AI smart glasses’ privacy concerns, after workers reviewed nudity, sex, and other footage
Meta is facing a U.S. lawsuit over its AI smart glasses, alleging privacy violations and false advertising due to footage from users being reviewed by overseas subcontractors, including intimate content. The company claims it blurs faces, but sources dispute effectiveness, prompting regulatory scrutiny and consumer backlash.
Why it matters: A software developer building AI tools should care because this case highlights the critical importance of transparency, data privacy safeguards, and accurate user expectations in AI product design to avoid legal and reputational risks.