Control the evidence
6,156 point-in-time rows spanning 2020–2026, frozen before any model sees them. No hindsight. No leakage.
SparkData Analytics engineered the complete chain — point-in-time market data, a ten-factor market-intelligence engine, transparent model training, economic stress-testing, byte-identical reproduction — and made it run as one system. Infrastructure first. Signals when they're earned.
Watch SDA turn frozen market evidence into trained models, gated decisions, and validation anyone can re-run. Hover for an instant muted preview. Open the film and turn sound on for the score.
Hover: instant preview · Click: full film + score · 0:59
Five disciplines, wired into one pipeline. Each one exists because a real failure mode exists without it.
6,156 point-in-time rows spanning 2020–2026, frozen before any model sees them. No hindsight. No leakage.
A ten-factor macro and market-regime engine reads the environment every candidate model will operate in.
A six-feature Ridge candidate — every coefficient inspectable, nothing black-box.
Thirteen promotion gates: walk-forward, holdout, cost, stress, multiple-testing, and live-forward controls.
Three executions, byte-identical. If it can't be reproduced, it doesn't count.
The public film is concise. The system beneath it freezes inputs, trains and validates candidate models, tests economic feasibility, and preserves the evidence behind each outcome.
Thirteen promotion gates stand between a trained model and a live decision. The system will emit nothing before it emits something unearned. It's the same standard that carried our AI tax agent through live software review: evidence in, gates enforced, no unearned yes.
See that standard at work →The current candidate is deliberately inspectable: six frozen features, one Ridge family, three preregistered penalty strengths. The model is one continuously improving component inside the larger intelligence system.
The latest research cycle ran the entire chain end to end — data freeze, training, thirteen-gate evaluation, three byte-identical reproductions, 523 tests at 91.58% coverage — and hardened the evidence and validation controls along the way. No candidate model has been promoted to live use yet; promotion is earned through the gates, and the gates are enforced. Signal research and model advancement are active.
Every cycle makes the system harder to fool.Most predictive-analytics marketing shows you a backtest and asks for trust. We built the opposite: a system whose every claim is frozen, gated, and reproducible before it's allowed to matter. When this system puts a signal forward, you'll be able to check its work — because checking its work is the product.
Watch the film — no login required. If your firm needs AI it can defend, not just demo, this is what that looks like in practice.