NeuralStackStartupHub.ai is running a live funding feed that highlights recent AI-relevant rounds across startups and labs raising capital right now. The page is built around announcement date, amount, stage, and investor information, with links to company profiles when available. It also lets users search, filter, and sort the list by sector, stage, date, or amount.
The current feed spans a wide range of companies, from early-stage builders to much larger, later-stage raises. Among the names surfaced are Arlequin AI, Clay, Lightfield, Euno, Implicity, Rebaba, Antioch, Cognition AI, Bluecore Energy, Lightsage, Resect AI, nscale, Gimlet Labs, Gridfield, Thinking Machines Lab Inc., Aaskpolly, Guardio Ltd, Crusoe Energy, and Upwind Security. Some rounds are listed with amounts, while others are marked undisclosed, reflecting the mixed disclosure patterns common in startup financing.
Several of the companies in the feed are working on infrastructure and enterprise tooling rather than consumer-facing chatbots. The roundup includes cybersecurity vulnerability prioritization, data enrichment and workflow automation, governance for data teams, AI-powered remote cardiac monitoring, runtime detection of hallucinations, cloud-native Kubernetes management, and AI infrastructure for training clusters. It also includes more frontier-oriented work such as autonomous software engineering and multimodal systems for enterprise use.
Clay stands out in the feed as an AI-powered data enrichment and workflow automation platform for go-to-market teams, while Cognition AI is described as building Devin, an autonomous software engineer. Lightfield is focused on startup software discovery for AI coding agents, and Lightsage is positioning itself around an agent-led growth platform. The broader set suggests that AI funding is still flowing into the tooling, workflow, and infrastructure layers that make AI systems easier to deploy and operate.
Why this matters
The value of a page like this is not just that it lists deals, but that it reveals where capital is moving in real time. By filtering for sectors such as artificial intelligence, machine learning, agents, and adjacent keywords, StartupHub.ai is effectively mapping the edges of the AI funding market rather than only the obvious headline rounds. That makes it useful for spotting emerging categories before they become crowded.
The mix of disclosed and undisclosed rounds also shows how uneven transparency remains in startup finance. Some companies are already at Series D, Series E, or growth stages, while others are still at pre-seed or seed, and the feed places all of them in one view. For investors, founders, and operators, that combination makes the page a fast-read signal of where fundraising attention is clustering.
StartupHub.ai says the feed is pulled from its investment_rounds table and paired with related directories for new AI startups, startup categories, and country hubs. That positioning suggests the company is trying to turn funding data into a broader market-intelligence layer. As more companies raise across adjacent AI categories, the feed should remain a live indicator of which themes are still attracting capital and which ecosystems are heating up.