Vision
Astra Indes builds systems where mathematical rigor, systematic reasoning, and disciplined capital coexist—making every layer of intelligence provable, interpretable, and durable.
Economic Layer
Decision rationality, auditing, and governance. Where verified intelligence performs in real financial environments — bridging formal reasoning with empirical markets.
Computational Layer
Rigorous statistical models & algorithms. Each strategy is an experiment in verified economic behavior: where proof, probabilistic calibration, and economic intuition meet.
Mathematical Layer
Verified axioms (auto-formalization & proof). The foundation where mathematical rigor ensures every layer of intelligence is provable, interpretable, and durable.
Our strategies demonstrate how verified intelligence performs in real financial environments — bridging formal reasoning with empirical markets.
From Systematic Fundamentalism → Verified Reasoning under Uncertainty
Quant Tradition
Uses statistics to express economic truths consistently. Empirical success defines reliability.
Verified AI Extension
Uses formal verification to ensure those truths remain coherent and trustworthy under uncertainty. Logical soundness defines trustworthiness.
We aren't replacing the quant mindset; we're closing its epistemic gap — making models provably consistent, interpretable, and auditable, not just empirically successful.
Brand & Philosophy
Astra Indes builds AI systems that think economically and reason mathematically — ensuring that in a random world, financial intelligence remains provably safe and explainable.
We believe Verified AI—AI whose reasoning can be formally proven—is the key to unlocking Mathematical Superintelligence, capable of uncovering the underlying structures that drive markets and generate enduring alpha.
Rooted in the Columbia Business School tradition of value investing, Astra Indes extends that discipline to the computational age: treating verified intelligence as intrinsic value in informational form — knowledge that compounds.