MarisRisk Capabilities

Find any employer in our database of 173,000+ establishments with fuzzy name matching powered by PostgreSQL trigram similarity. Filter by state, city, or ZIP code.

Complete inspection history, violation details, cited safety standards, and penalty amounts sourced from the DOL API. Updated nightly with incremental syncs.

Establishment-specific ITA data including Total Recordable Incident Rate (TRIR), DART rate, employee counts, hours worked, and annual trends from 2016 to present.

Hospitalizations, amputations, loss-of-eye incidents, and fatalities reported to OSHA since 2015. Includes event descriptions and outcome details.

Automated 0-100 risk score combining five weighted components — violation severity, injury rates, severe incidents, enforcement frequency, and penalty magnitude — each percentile-ranked within the employer's NAICS cohort.

Eight automated alerts including fatalities, willful violations, repeat offenders, high penalties, failure-to-abate citations, escalating violation patterns, and above-average TRIR.

Two-year directional indicators for violations, penalties, severe injuries, TRIR, and DART rate. Instantly see whether an employer's safety posture is improving, stable, or worsening.

Intelligent matching engine links records across OSHA enforcement, ITA, and SIR data sources to canonical employer profiles using trigram pre-filtering and Jaro-Winkler scoring.

Redesigned employer profile with sidebar navigation, executive summary card, 6 KPI cards with trend arrows, risk component breakdown, and a merged recent activity feed across all data sources.

Interactive visual timeline with inspections plotted by date, color-coded by worst violation severity, and sized by penalty. Click any node to drill into inspection details and violation tables. Filterable by date range, type, and severity.

Treemap visualization grouping violations into ~30 hazard categories (fall protection, lockout/tagout, machine guarding, etc.) weighted by severity and recency. Maps each hazard to likely workers' comp injury types and average claim costs.

Percentile-ranked comparison across TRIR, DART, penalty rates, and inspection frequency against NAICS peer groups. Includes historical trend charts (employer vs peer median over time) and credibility notes on data coverage.

12-month probability estimates for new inspections, serious violations, high penalties, and SIR events based on employer history and NAICS base rates. Recidivism pattern analysis detects repeat-standard citations. Survival curves show time-to-next-event vs peers.

One-page PDF summary with configurable sections — risk score, enforcement history, injury rates, peer benchmarks, hazard profile, and forward risk. JSON export for actuarial teams. Inline preview before download.

Watchlist-based alert system for tracking employers approaching renewal. Triggers on new inspections, serious violations, SIR events, risk score changes, and new ITA filings. Daily alert feed with severity-based filtering.

Auto-generated investigation questions based on each employer's hazard profile, risk drivers, and anomaly flags — e.g., 'What LOTO program is in place?' or 'Request OSHA 300 logs to verify low reported injury rates.'

Expanded defensible flag system: RED (fatality, willful, repeat, high penalty, failure-to-abate), YELLOW (hospitalization, high TRIR, escalating, underreporting suspicion), GREEN (clean history, below-median TRIR, full abatement compliance).

Calibrated ML probability of material adverse OSHA event in 12 months using LightGBM with ~50 features. SHAP-based explainability shows top risk drivers. Replaces heuristic scoring with calibrated predictions.

Extract latent hazard themes from SIR event descriptions and accident investigation narratives using TF-IDF topic modeling and sentence embeddings. Surfaces risk signals that structured standard codes miss.

Isolation forest detects employers with metrics anomalous vs true peer groups — suspiciously low TRIR with high violations (underreporting), violation rate spikes, penalty outliers, and abatement failure clusters.

Real-time news search for safety-related press coverage. NLP-powered sentiment analysis classifies articles and feeds into the risk score as a 6th component with 10% weight.

JWT-based authentication with role-based access control. Underwriters, reviewers, and admins with appropriate permissions. Persistent watchlists and email alert digests tied to user accounts.

Comprehensive activity tracking for compliance — login events, match decisions, data access, risk score views, and administrative actions with a searchable audit trail.

Quasi-experimental analysis using propensity score matching and difference-in-differences to estimate whether abatement completion actually reduces future adverse outcomes. Results displayed per employer and per NAICS cohort.

Cox proportional hazards and Random Survival Forest models for time-to-next-event prediction. Competing risks framework separates serious violations, SIR events, and fat/cat inspections. Calibrated 12-month risk probabilities.

Documented, versioned REST API for carrier rating engines to query risk scores, hazard profiles, and ML predictions. Rate-limited and authenticated with usage tracking.

Upload a CSV of employer names and addresses to batch-process through entity resolution and scoring. Returns a downloadable report with risk scores, red flags, and peer percentiles for every matched employer.

Parent-company detection clusters multi-site employers by normalized name and NAICS code. Aggregate corporate risk scores across all linked establishments for enterprise-level underwriting.

PostGIS-powered spatial analysis of regional hazard concentration, enforcement intensity corridors, and state-plan vs federal-plan patterns. Heatmap overlays on employer profiles.

Attach loss runs, inspection reports, and supporting documents directly to employer profiles with secure storage, magic-byte validation, and SHA-256 checksums.