The Source Signals
Tech news is everywhere. Intelligence isn't.
Inside the $35 Billion race to interpret what infrastructure inspections actually reveal
As drone inspection consolidates around larger engineering stacks, Germany’s FlyNex is betting that owning the workflow from data capture through to investment decisions keeps independent software companies relevant.
TheStage AI is betting that the next wave of AI runs on phones rather than servers
With an SDK targeting NPUs on smartphones and laptops, the company is chasing an edge AI market forecast to reach $118.7 billion by 2033 while cutting cloud inference costs for existing customers.
Featherless AI is betting that open models win, and that AMD is how they get there
Backed by AMD Ventures, Airbus Ventures and BMW i Ventures, the serverless inference platform has grown from an internal pricing experiment into a catalogue of more than 40,000 open models. Chief Revenue Officer Joe Fleming sets out how a $20 Million company intends to compete in a category where rivals carry multi-billion-dollar valuations.
Inside rahd·AI, the company betting decommissioning is a data problem first
With £44 billion still to be spent on the UK Continental Shelf and 500 wells already past deadline, the Aberdeen company argues the savings begin long before a rig is booked.
GCC & London based 1001 raises $30M Series A funding
Lux Capital's lead on 1001's $30 million Series A, with Sanabil and a roster of US operators joining, reflects a shift in where applied AI is now proven.
Odyssey banked Nvidia's money in February. Its $310m Series B locked the chipmaker out
The world models lab took NVentures cash for its Series A, then built a $310m round around Amazon's Trainium silicon and AMD Ventures, a signal of how hard the market is now hunting for alternatives to Nvidia.
Taste Labs emerges from stealth with $18.5m to sell judgment to an AI industry drowning in its own output
The New York company, co-led in its seed round by CRV and Amplify Partners, is betting that the dominant method for aligning AI models has been quietly manufacturing the sameness now derided as slop, and that curated taste is the infrastructure layer the industry forgot to build.