Daily AI Grants Roundup – February 12, 2026
Stay updated with the latest in AI grants. Here are the top picks for today, curated and summarized by HappyMonkey AI.
AI inference startup Modal Labs in talks to raise at $2.5B valuation, sources say
Modal Labs, an AI inference infrastructure startup, is in early talks to raise a $2.5B funding round, more than doubling its previous $1.1B valuation, with General Catalyst potentially leading the round. The company’s annualized revenue is around $50M, though discussions remain preliminary.
Why it matters: A software developer building AI tools should care because Modal’s valuation growth highlights increasing demand for AI inference infrastructure, which directly impacts tooling, scalability, and ecosystem investment trends.
Funding competitions and grants | Department of Computer Science …
The Department of Computer Science and Technology at the University of Cambridge provides funding competitions and grants for PhD students, with eligibility criteria and application processes detailed on the university’s funding portal. Applicants are advised to check college-specific grants and ensure sufficient funding for tuition and living expenses.
Why it matters: Software developers building AI tools should care because these funding opportunities support advanced research that may drive innovation in AI and related technologies.
Glean’s fight to own the AI layer inside every company
Glean is positioning itself as an AI work assistant that integrates into enterprise systems, competing with tech giants by offering governance and permission management for AI tools. The article highlights the growing competition in enterprise AI and the challenges of implementing effective AI governance.
Why it matters: Software developers building AI tools should care about AI governance and competition dynamics to ensure their solutions meet enterprise needs and stand out in a crowded market.
Who will own your company’s AI layer? Glean’s CEO explains
The article discusses the evolving role of AI in enterprises, highlighting Glean’s shift from an enterprise search tool to an AI work assistant that integrates with internal systems. It emphasizes the growing competition in the AI space and the importance of owning the AI layer that powers organizational workflows.
Why it matters: Software developers building AI tools should care about AI architecture ownership and integration challenges to ensure their solutions align with enterprise needs and compete effectively.
Why the economics of orbital AI are so brutal
SpaceX and other companies are pursuing orbital AI infrastructure, aiming to deploy massive satellite constellations and lunar-based systems to leverage space’s potential cost advantages for AI compute. Competitors like Google and startups are also investing in similar projects, with ambitious timelines for deployment.
Why it matters: Software developers building AI tools should care as orbital AI could drastically alter compute costs, scalability, and infrastructure requirements for AI systems in the near future.
How AI changes the math for startups, according to a Microsoft VP
Microsoft’s Amanda Silver highlights how AI is transforming startups similarly to the public cloud, reducing infrastructure costs and enabling new opportunities. She emphasizes the importance of tools like Azure’s Foundry system in helping enterprises deploy AI effectively.
Why it matters: Software developers building AI tools should care because the shift mirrors the cloud’s impact, offering scalable, cost-effective solutions that startups and enterprises now rely on.
xAI lays out interplanetary ambitions in public all-hands
xAI published a public all-hands meeting video outlining its interplanetary ambitions, product roadmap, and organizational restructuring, including layoffs and the formation of four specialized teams. The video highlights the company’s rapid progress and evolving focus on AI-driven projects like Grok, Imagine, and Macrohard.
Why it matters: Software developers building AI tools should care as xAI’s roadmap and team structure may signal emerging trends or collaborative opportunities in AI innovation.
OpenAI disbands mission alignment team
OpenAI has disbanded its mission alignment team, which aimed to communicate the company’s mission to ensure AGI benefits humanity. The team’s members have been reassigned, with former head Josh Achiam now serving as chief futurist. OpenAI stated the mission alignment work continues across the organization.
Why it matters: Software developers building AI tools should care about mission alignment to ensure ethical development and public trust in AI systems.
Apple’s Siri revamp reportedly delayed… again
Apple has delayed its AI-powered Siri revamp again, with features now expected to roll out gradually over multiple iOS updates, potentially until iOS 27 in September. The new Siri will leverage Google Gemini, aiming to make it more like LLM chatbots without requiring third-party apps.
Why it matters: Software developers should care as the delay and reliance on Google Gemini may impact AI tool integration timelines and ecosystem compatibility strategies.
Uber Eats launches AI assistant to help with grocery cart creation
Uber Eats introduced an AI-powered ‘Cart Assistant’ that helps users quickly create grocery carts by analyzing lists, images, or recipes, while personalizing selections based on past orders. The feature aims to streamline shopping and compete with AI-integrated rivals in the food delivery and grocery space.
Why it matters: Software developers building AI tools should care because this innovation highlights the growing demand for AI-driven personalization and efficiency in consumer apps, offering insights into competitive strategies and user-centric AI design.
Threads’ new ‘Dear Algo’ AI feature lets you personalize your feed
Threads introduces an AI feature called ‘Dear Algo’ that lets users temporarily personalize their feed by submitting public requests, which others can view and adopt. The feature aims to enhance community-driven content discovery but raises privacy concerns due to public visibility. It differentiates Threads from competitors by offering dynamic, user-initiated feed adjustments.
Why it matters: Software developers should care because the public nature of user preferences in ‘Dear Algo’ highlights the trade-offs between algorithmic transparency, community engagement, and privacy in AI-driven platforms.
Okay, now exactly half of xAI’s founding team has left the company
Half of xAI’s founding team has left the company, with co-founders Yuhuai Wu and Jimmy Ba departing recently, joining a trend of departures that include moves to other firms and health-related exits. The exodus raises questions about the lab’s stability and future direction.
Why it matters: Software developers building AI tools should care as high founder turnover may signal instability or shifts in strategic priorities that could impact collaboration and innovation in AI projects.