Funding, founders, and the companies trying to build the next big thing.
Despite trillion-dollar AI valuations, female founders captured barely 2% of VC capital in 2026. The technical revolution forgot to fix its oldest culture problem.
Cornelis Networks has secured $205M to scale its open-standard fabrics, taking direct aim at Nvidia's high-margin InfiniBand monopoly in hyperscale AI clusters.
Inference startup d-Matrix will integrate Nvidia's NVLink interconnect into its AI server architecture, proving that in 2026, memory fabrics beat raw silicon.
With private venture capital plunging to decade lows, Singapore is injecting S$220M into high-risk fintech. Here is how state capital aims to reshape the sector.
Satellite intelligence startup Space-Eyes is going public in a $638 million SPAC deal. Here is what the political backing and defense tech pivot reveal.
Quantum computing faces a critical interconnect bottleneck. ZuriQ's $25.5M funding aims to solve physical qubit routing through a novel 2D planar array.
Airbus is anchoring a massive €500M defense tech venture fund, signaling Europe's shift toward sovereign militaries. Its first deal highlights AI warfare.
London-based robotics firm Humanoid raised $152 million in Series A funding at a $1.35 billion valuation. European physical AI is mounting a serious challenge.
Leaked emails and whistleblower documents reveal how a prominent diabetes startup silenced its chief medical officer to push unvalidated AI onto vulnerable patients.
Syntetica's $30M Series A highlights a major shift in materials science. Can its low-energy depolymerization tech finally make synthetic textiles fully circular?
Spiro, the adaptive AI enterprise platform, just secured a $55 million investment from China's NewTrails, propelling it towards a $1 billion valuation. This strategic funding signals a new era for global tech investment and the critical role of AI in resilient supply chains.
As enterprises grapple with ballooning AI infrastructure costs, PointFive just secured $60M to bring much-needed financial discipline to machine learning deployments. This massive funding round signals a critical shift towards optimizing every dollar spent on AI, moving beyond raw compute power to intelligent efficiency.
