Defensible fund analytics.
Replayable. Auditor-ready.
Portfolio managers and CIOs get provenance-grade analytics. Backtest any fund-relevant forecast. Hand the manifest to the auditor. See also: Backtest Forensics →
Pre-mortem before, post-mortem after — right here.
Run a pre-mortem swarm on a deal for ranked failure modes; score a closed investment against the realized timeline (Brier / log-loss); click through a bit-for-bit LP-defense replay to “verified ✓ · manifest sealed”; and expand hidden-opportunity cards from a synthetic GNL lattice traversal. CONFIDENTIAL by default. Fully interactive, fully synthetic — no account needed.
Advisory Suite
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Synthetic demo · certified provenance, not certified truth · not investment advice · ROADMAP
Fund analytics that survive the auditor.
The auditor asks: what model produced this number and why? Today the answer takes weeks. With the Reality Oracle it takes one manifest replay.

Backtest any forecast
Reproduce any past fund-relevant simulation exactly. Same inputs, same output, same bytes. Hand the manifest to the auditor.

Calibrated ensemble
Oracle probability cones with Brier/log-loss calibration loop. Provisional until Gate 1b. See also: Path Queries.

Compliance-ready by default
Every output seals a hash-chained manifest. SR 11-7, EU AI Act, NIST AI RMF. The regulator audits the manifest, not your Excel.
Run the call before and after.
A pre-mortem swarm runs prospective-hindsight before the investment; a post-mortem swarm scores the same cone against the realized timeline via the Brier/log-loss calibration loop. The marker shows where ground truth landed against the modal strand.
Every decision, replayable for LPs.
Each analysis seals a per-output hash-chained manifest (BR-842). Hand it to an LP or an auditor and reconstruct the call bit-for-bit — same inputs, same agent versions, same output.
Certified provenance ≠ certified truth.
Every output replayable. Not every output correct.
Fund analytics with provenance.
Investment Funds side is frozen behind Gate 1b. Pre-register for early access when it opens.