Calibrated against real evidence, not vibes. 40 realistic KPIs per catalogue entity, each with a confidence chip. 200-parameter predictive engine for unseen screenplays. Two engines, one entity graph, ten verticals.
We don't headline a single accuracy number — those are marketing artefacts. Instead every score ships inside a bracket: 0-20%, 20-40%, 40-60%, 60-80%, 80-100%. The hit-rate in each bucket has to match the bucket label. That's the product.
Every catalogue KPI ships with a confidence chip — high, medium, low or unknown — so thin-evidence entities surface honestly. Predictive scores add explicit ci80 / ci95 intervals, top drivers and nearest analogs. No prediction is rendered without its uncertainty companion.
Built ground-up for the Tamil industry — directors, composers, DOPs, writers, editors, support cast, lyricists, choreographers, distributors. Each film auto-discovers 15-30 new persons and self-expands the corpus.
The bulk crawler walks every Film row, extracts cast / crew / infobox, and checkpoints to disk. If it stops at film 1,247 — the next run picks up at 1,247. No re-fetches, no double counting, no surprises.
npm run crawl:cast-crewwalk every Film rownpm run crawl:cast-crew:tamilTamil films 2015+npm run crawl:cast-crew:expandself-expand newly discovered personsnpm run ingest:batchfull keyword ingest with checkpoint/resumenpm run ingest:batch -- --max-run-minutes=30time-boxed runnpm run ingest:agentOllama-first local run (25 entities)npm run coverage:check% of 92 signals captured for 99.5% predictionEach prediction is placed into one of five brackets. We continuously back-test against new ground-truth data — the actual hit rate inside each bracket must match the bracket label. Drift is publicly reported.
npm run coverage:check reports the % of 92 signals captured for the current film or screenplay. Below 92, we widen the confidence band. Above, we tighten it.
Validate script viability before greenlight — quantify lead-pair chemistry, director form, composer fit, and audience overlap before a single rupee is spent.
Risk-scored bets on upcoming films with calibrated confidence bands. Know whether you're funding a tight-band 80% bracket or a wide-band 40% guess.
Buy-or-skip decisions on screenplay submissions. Territory-level forecasts grounded in person-level form curves and competition calendars.
Cast and crew selection based on calibrated person-level scores. Swap a composer, watch the predicted band shift in real time.
Acquisition shortlisting from screenplay submissions. Filter the inbox by predicted-tail multiplier and audience-overlap with your existing catalogue.
Run a screenplay through SignalGrid. Get 200 parameters back, each with an honest confidence band. No headline accuracy theatre.