PRISMA OPPO is GNB’s opposition research engine — it cross-references public filings (FEC, Senate EFD, FARA, the Federal Register) into a cited, dated, deterministically-scored dossier, instead of a confident-sounding AI paragraph with nothing underneath it. Every line traces back to an actual filing or article. Every claim carries a freshness verdict. When there’s no documented link, it says so — out loud.
Four real, already-public cases where PRISMA OPPO’s cross-reference method would have surfaced the finding well before it broke nationally. Subjects are redacted here — the underlying filings, dates, and outcomes are not.
PRISMA surfaces the trade the day the STOCK Act disclosure becomes searchable on Senate EFD — 3 days before the exposé reached the public.
PRISMA’s FEC cross-reference flags the shell-LLC loans the day Q3 filings go live — two months before the exposé revealed a fabricated candidacy.
PRISMA cross-references a cluster of NJ businessmen donors — all with Egypt-linked interests — against a USDA regulatory monopoly benefiting one donor’s company. The pattern surfaces 10 months before the case went public.
A family member’s foreign-company board seat was public for years before it became a national controversy. PRISMA cross-references the VP’s policy authority against that firm’s lobbying footprint — surfacing the conflict four years ahead.
Four real, demonstrated failure modes of AI-generated research — and how PRISMA OPPO is built to not make them.
A real fact-check on an AI-generated vulnerability synthesis blended two current developments with two already-resolved ones and one unverifiable claim — all delivered with identical confidence and no dates attached.
PRISMA’s answer: a visible freshness badge — Current / Recent / Stale — on every dated claim. Nothing reaches the principal without a date and a staleness verdict beside it.
A typical AI connection-finder will manufacture a plausible-sounding link between two people rather than admit none exists — because a confident answer is what the model is rewarded for.
PRISMA’s answer: Bridge explicitly returns “no documented connection found” when that’s the truth. An honest null is a trust feature, not a failure.
A real bug: a loyalty score of 42 was labeled “Critical” while a 68 on the same page read “High” — because the label was left to model discretion, decoupled from the number.
PRISMA’s answer: risk and status labels are computed deterministically from the score, in code. A lower number can never look safer than a higher one.
A government legislator-search API political staff rely on daily fails on partial name entry — a small but real, trust-eroding gap under deadline pressure.
PRISMA’s answer: a local, resilient prefix and multi-word search index — offline, with no external dependency, built the way staff actually type.
Public record in, a cited and scored dossier out — no step in between left to model guesswork.
Six capabilities, each built to answer one of the failure modes above.
An interactive, force-directed relationship graph of the donors, PACs, organizations, and media tied to a subject — built from real public-record data. Every edge traces back to a real filing.
Given any two people, Bridge finds the real documented connecting path through donors, orgs, and committees — or honestly reports that no documented link exists. Speculative links are shown dashed, never asserted as fact.
Maps a subject’s coalition into named voter and stakeholder blocs — each with a loyalty score, trend direction, and why they move. Risk tiers are computed deterministically, so a score can never contradict its own label.
Tracks a subject’s alignment with the current cultural and political moment across a real 12-month trajectory, grounded in real media-tone data, with a freshness indicator on every claim.
A 30/60/90-day forecast of where the moment is heading versus a subject’s current messaging — a deterministic statistical extrapolation of real historical data, not model imagination.
A continuously-updated read on constituency psychology — which messages are landing, which are backfiring, and where an opponent’s coalition has an opening worth pressing.
Same engine, two outputs: research an opponent, or audit your own candidate before someone else does.
Every line above is dated, sourced, and clickable back to the public record.
Same engine, same standard of proof — run against your own name before an opponent runs it for you.
Competitor names below are anonymized; the capability gaps are real and drawn from each product’s own public claims.
Live monitoring across a dozen social platforms with real-time alerts and a post-to-attack-ad pipeline in minutes. Adds synthetic polling and a built-in CRM — but its attack-ad scripts ship with no citation on any claim, no relationship graph, and no staleness indicator.
Real-time alerts and in-platform drafting of “sourced” talking points — with no per-claim citation actually attached, no donor or regulatory analysis, and no deterministic scoring on real historical data.
Automated, tier-rated vulnerability discovery with messaging angles generated in seconds — but a tier rating with nothing to click through to, no fact-check step, and no relationship or coalition mapping.
AI rapid-response video and audio generation, alert-to-clip in roughly 2–4 hours — where a false claim moves through the pipeline exactly as fast as a true one, with nothing to cross-reference it against first.
Cross-platform bot and deepfake detection — strong at surfacing coordinated activity, but produces no dossier, no score, and no attack lines on any named subject.
Outreach and content generation at scale — a volume-and-reach play with no per-claim verification layer and no monitoring or research claim at all.
A pure content-generation copilot for fundraising and campaign copy — it writes, it doesn’t investigate, and has no verified source of its own to write from.
Same category as Competitor 7 — ad-copy generation only, with no verification, scoring, or relationship analysis of any kind behind it.
| Capability | The Field | PRISMA OPPO |
|---|---|---|
| Live multi-platform social monitoring | ✓ | ✕ |
| Rapid content generation | ✓ | ✓ |
| AI hallucination safeguards | ✕ | ✓ |
| Citation-level verifiability | ✕ | ✓ |
| Staleness detection | ✕ | ✓ |
| Honest null results | ✕ | ✓ |
| Relationship-graph analysis | ✕ | ✓ |
| Coalition mapping | ✕ | ✓ |
| Trend forecasting on real history | ✕ | ✓ |
Live multi-platform social monitoring is the one cell we honestly leave unlit — PRISMA OPPO doesn’t do it, and we say so.
A wrong attack launched fast is worse than a verified one surfaced with rigor — depth beats scrape speed when the principal’s name is on it.
A 50-state-plus-DC board of where every tracked race stands, repainted continuously as the public record moves. Click any tile to zoom in.
Click any state to zoom in.
LIVE CAPABILITY · SAMPLE COVERAGE MAP — this board updates continuously from the public record inside the full app. Statuses shown on this public preview are illustrative, not a live read on any current race.
Give us one race and half an hour, two days, or one week — whatever your timeline demands — and we’ll hand you a dossier you can put your name on: every claim dated, cited, and clickable back to the public record.
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