Tap a bar for year-by-year detail
Ordered the way grant and finance teams actually work: close the gaps monitors already name, catch anomaly patterns rules miss, then document every flag for HUD review and single audit.
The improper-payment categories finance teams and auditors already expect you to catch.
Scan claims and invoices for missing signatures, wrong form types, and field mismatches. The “boring” category behind a large share of improper payments — and fully automatable.
Match every payee against the 90M-record SSA Death Master File. Flag payments after date of death, including overlap windows legacy batch jobs miss.
Ingest vendor contract PDFs, extract not-to-exceed and unit rates, then reconcile actual payments. Surfaces overages and invoices split just under competitive-bid ceilings.
Ensemble models and graph analysis for related vendors, spend drift, and burst payment patterns — not static thresholds.
Fuse geometric MCMC, peer GNN comparison, and payment-timing CNN signals with Z-score and Benford checks. One score for unusual spend shapes, timing, and multi-signal anomalies.
Link vendors with near-duplicate names, synchronized payment timing, or identical spend fingerprints. Surfaces related-entity patterns that stay under line-by-line review.
Segment each vendor’s history by fiscal quarter and score the trajectory. Surfaces vendors sliding from clean billing toward threshold-gaming before totals look wrong.
Plain-English review memos and audit-ready packets so grant staff and federal reviewers get answers, not black-box scores.
A frontier model writes a review memo per flag, with a second reasoning pass on borderline scores. Staff get narrative, math, and a recommended next step.
Auto-assemble reporting for grant monitoring, IPERIA, Single Audit Act, and internal control reviews — tied back to each flagged payment and its memo.
Match invoices and disbursements across files and fiscal periods for same vendor, amount, and date fingerprints. Surfaces duplicates grant and AP exports miss when systems stay siloed.
Grant administrators shouldn't need a six-month data project before screening starts. Send a vendor payment file the way your system already exports it — the normalizer handles the rest.
Email a vendor payment export from your finance or grant system — any format. No API, no integration project, no six-month onboarding.
SPECTR's schema normalizer recognizes vendor, amount, date, and program fields on its own, whatever they're named in your file.
Nine engines score every payment for exclusions, duplicates, threshold clustering, and peer anomalies. Each flag gets a review memo with the math behind it.
A plain-English findings report: what was flagged, why, estimated exposure, and recommended next steps. Free for pilot agencies.
Grant reviewers and federal monitors need explainability — not just a score. Most tools can't show their work. That's why teams stay with spreadsheets and manual sampling even when disbursement volume outpaces staff.
SPECTR produces a mathematically auditable probability statement, then writes it up in plain English. Here's a sample memo. If you can read it and see why the payment was flagged, the monitoring conversation is already half done.
This vendor's spend allocation sits at the 2nd percentile of the feasible distribution for building-services vendors in this jurisdiction. Eleven of its fourteen invoices land between $24,400 and $24,900, clustered immediately beneath the $25,000 competitive-bid threshold, a pattern consistent with invoice-splitting to avoid procurement review.
Federal grant programs cross-reference public exclusion lists on day one. State and local grant offices administering CDBG, disaster recovery, and infrastructure funds are where proactive screening is thinnest — and where we start pilots.
90M+ deceased beneficiary records
Every licensed US provider
All federal payment transactions
Published AGI eligibility bands
Debarred & excluded contractors
Excluded parties list
All-payer claims where published
Incarceration status where shared
Standard state and county procurement opens MMIS exports, eligibility rosters, and vendor payment files under existing data-use agreements. SPECTR layers the same cross-reference intelligence federal agencies pay tens of millions to configure, scoped for state budgets and 90-day pilots, not multi-year sole-source awards.
Direct Medicaid claims ingestion, the data state HHS already exports daily.
Contractor invoice files from procurement systems, cross-referenced against SAM.gov in real time.
Member eligibility rosters and all-payer claims history under standard data-use agreements.
The same duplicate and deceased-recipient detection federal agencies pay tens of millions to configure.
No procurement cycle to start. No integration project. Email us a vendor payment file, columns map automatically, and we send back a plain-English findings report with every flag explained and the math shown. If it's useful, we talk about a pilot. Grant compliance and audit-ready applications are Navigator — request a demo for that.
CSV stays yours · analysis runs on your file only · no data retained after the report