c_t^KV = W^DKVh_t KV = 2 b s n_h d_h L p dX_t = μ_t dt + L_t dW_t f* = (μ − r) / σ² Σ v_i = λ_i v_i 𝔼[min((L − A)⁺, B − A)] Attention(Q,K,V) = softmax(QK^⊤/√d_k)V softmax(x)_i = e^x_i−m / Σ_j e^x_j−m Φ( ( Φ⁻¹(p) + √ρ Φ⁻¹(q) ) / √(1 − ρ) ) MFU = 6ND / (T · P_peak) θ ← θ − η ∇_θℒ ES_α = 𝔼[ L | L ≥ VaR_α ]

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A purpose-built AI platform at the intersection of Reinsurance and GP Capital.

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