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Transform public employer safety data into underwriting decisions. Search any U.S. employer, get a calibrated risk score in seconds.
Underwriters spend 30-60 minutes per account manually searching OSHA's website, digging through PDFs, and piecing together an employer's safety history from scattered government databases. Most just skip it and rely on loss runs alone — missing critical safety signals that predict future claims.
Type a company name, EIN, or DOT number. Our fuzzy matching engine finds them across 4 million establishments — even with typos or abbreviations.
See a 0-100 risk score powered by a three-stage actuarial model: Negative Binomial GLM, Buhlmann-Straub credibility weighting, and gradient-boosted residuals — calibrated against NAICS peer groups. Red, yellow, and green flags surface what matters immediately.
Inspect the full enforcement timeline, hazard profile, injury trends, peer comparisons, and ML-powered forward risk predictions — all on one page.
Generate a one-page PDF for the underwriting file. Add the account to your portfolio for automatic alerts on new inspections, violations, and severe injuries.
Three-stage model: Negative Binomial GLM for baseline injury frequency, Buhlmann-Straub credibility blending (individual experience vs. NAICS group rate), and LightGBM residual boosting. Organization scores aggregate from location scores weighted by exposure hours.
Instant visual flags: fatalities, willful violations, repeat offenders, high penalties, escalating trends, above-average injury rates, bankruptcy, and underreporting suspicion.
Compare any employer's TRIR, DART, penalties, and inspection frequency against their NAICS peer group. See percentile rankings and historical trends year-over-year.
12-month event probabilities for serious violations, high penalties, and severe injuries. Credibility-weighted predictions shrink small employers toward their NAICS class rate while experience-rating larger accounts.
Violations grouped into 30+ hazard categories (fall protection, machine guarding, lockout/tagout). Mapped to likely workers' comp injury types with severity weighting.
Track all quoted and bound accounts in one dashboard. Automatic alerts when portfolio employers receive new inspections, violations, or severe injury reports.
Browse entire industries by NAICS code. See severe injury trends, top causes of injury, nature and source breakdowns, and fatality investigation trends over time.
Auto-generated investigation prompts based on each employer's specific risk profile. Context-aware questions guide deeper due diligence where the data warrants it.
Search an employer, review the risk profile, export a PDF — all in under 2 minutes. Replace 30-60 minutes of manual OSHA research.
Identify high-hazard subgroups by NAICS code. Target audits to employers with rising violation trends and above-peer injury rates.
Monitor your own employer's safety posture. Benchmark against peers, track trends, and get early warning on emerging hazard patterns.
Differentiate with data-driven risk insights. Demo the platform to prospects using household-name employers. Share PDF reports with clients.
A 0–100 score built on actuarial credibility theory, calibrated against NAICS peer groups
Baseline injury frequency model with NAICS-2 fixed effects and log(hours) exposure offset. Captures industry-level risk structure.
Blends individual employer experience with NAICS-4 group rate. Small employers (Z ≈ 0.17) lean on class priors; large employers (Z > 0.8) are experience-rated.
Gradient-boosted model captures non-linear interactions across 27 features: enforcement history, SIR events, violation severity, penalty trends, and more.
Single-location organizations inherit their establishment score directly. Multi-location organizations use an exposure-weighted average of child location scores, plus overlay adjustments for systemic violations, risk concentration, financial stress, and litigation.
Search any U.S. employer and get a complete safety risk profile in seconds.