The first in a new series: a desk-based, fully-sourced verification of vLLM's PagedAttention throughput claims against the peer-reviewed paper and vLLM's own published benchmarks — what holds up, what we can't confirm without hands-on access.
Technical evaluation gets the attention, but every opportunity we evaluate is also underwritten financially — here's what we actually look at.
Our core value isn't being the capital source — it's being the due-diligence engine that de-risks deals for the investors we work with.
Why hands-on technical due diligence — not pitch decks — is the foundation of how we evaluate every opportunity, and how it leads to our investor network.
Our framework for evaluating robotics investments — hardware maturity, the autonomy stack, and a credible path to real-world deployment — before we decide whether to invest or bring a deal to our investor network.
How we evaluate AI infrastructure and applications hands-on — the questions we ask at each layer, and which opportunities we bring to our investor network.
Quantum computing is still maturing. Here's our evaluation-informed view on hardware approaches, timelines, and where the near-term opportunity lies — and how we bring the strongest bets to our investor network.