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Apoha's $36M Moat, Coralogix $200M & the Proprietary Data Shift
Audio is available on Spreaker — see link below.
AI capital is moving away from model wrappers toward proprietary data and mission-critical infrastructure — and today's raises prove it. Apoha, Coralogix, Nvidia's Kumo acquisition, and Merantix's €103M European fund tell the full story.
Audio is available on Spreaker — see link below.
A London-San Francisco deeptech startup just emerged from stealth with thirty-six million dollars, and the investment thesis behind it tells you more about where AI capital is flowing in twenty twenty-six than almost anything else right now. Apoha builds what it calls a scientific data layer.
Here's what the Apoha raise signals about the broader market. The largest checks in twenty twenty-six are not going to companies that have a compelling AI story.
The same logic runs through Coralogix's two hundred million dollar Series F, which valued the company at one point six billion. Coralogix builds observability tools, essentially the monitoring and governance layer for AI agents operating in production environments.
In Europe, Berlin-based Merantix Capital closed a hundred and three million euros for a fund targeting forty early-stage AI-native companies across logistics, manufacturing, energy, and enterprise. Half those investments are planned through a venture studio model, where Merantix co-builds companies rather than just backing them.
On the infrastructure side, Nvidia paid over four hundred million dollars to acquire Kumo AI, a Stanford-founded startup building foundation models for structured data prediction. The practical implication is that Nvidia is no longer just a chip company with software adjacencies.
The through-line across all of this is straightforward. Capital is concentrating at two ends: proprietary data creation on one side, mission-critical infrastructure on the other.
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