@RISK is a capable general-purpose Monte Carlo add-in used across finance, insurance, pharma, and engineering. BidRisk Analyzer does one thing: construction bid risk. No Excel add-in to install, no training course, no features built for industries you’re not in.
@RISK pricing per Lumivero’s published rates. BidRisk Analyzer founding price for the first 50 customers; standard pricing may apply after.
Both run real Monte Carlo simulation with correlation and sensitivity analysis — that part isn’t in question. The difference is who each tool was actually built for.
| BidRisk Analyzer | @RISK (Palisade / Lumivero) | |
|---|---|---|
| Price | $590/yr, everything included | $2,900–$3,500/yr |
| Built for | Construction bid risk, specifically | General-purpose risk analysis — finance, insurance, pharma, engineering, and more |
| Setup | Web app — open a browser and go | Excel add-in — install and license activation required |
| Getting your data in | Paste line items straight from Excel | Build the model structure yourself in Excel |
| Correlation modeling | Pre-built trade/crew grouping — pick a group, done | General-purpose correlation matrix — powerful, but you configure it from scratch |
| AACE class range presets | One tap — Class 5 through Class 2 fills your ranges | You configure ranges yourself |
| Tornado sensitivity | Included, construction-labeled | Included, generic to whatever model you built |
| Bid pricing & margin confidence | Built in — P(GP ≥ target) at your bid price | Not a built-in workflow — you’d build this yourself |
| Learning curve | Minutes — construction-native language throughout | Typically a training course; built for professional analysts across many fields |
| Output | Branded PDF, ready for the bid package | Excel-based — formatting is on you |
| Languages | English, Spanish, Portuguese | English-language interface |
| Currency reporting | USD, MXN, BRL, and 7 more | Not currency-aware by default |
| Support | Direct line to the founder | Enterprise support tiers |
@RISK is a serious tool, used by analysts across dozens of industries who need flexible, general-purpose Monte Carlo simulation — and are willing to build their own model structure to get it. That flexibility is the point, and it costs what serious enterprise software costs.
One job: a construction estimator with a bid due Friday. Correlation groups are already labeled by trade. Pricing confidence is already wired to gross profit. The report is already formatted for a bid package. You’re not configuring a general tool — you’re using one built around your exact workflow.
You don’t need to rebuild anything — just paste your current line items from Excel, same as always. If you want a second set of eyes on your first run in BidRisk, email us and we’ll get on a call. No sales pitch — just making sure your first report looks right before it goes in front of a client.
If someone else is paying for it and you're happy with the workflow, there's no urgency. BidRisk makes the most sense when you're the one who owns the decision — renewing a $2,900+/yr seat, or evaluating tools for the first time. The 14-day trial costs nothing to find out.
Your past bids and Excel files are untouched — nothing about switching tools changes historical records. Going forward, BidRisk starts from your line items, not your old model structure, so there's nothing to migrate. Paste your next estimate in and you're running in minutes.
Yes — true Monte Carlo simulation with Triangular and PERT distributions, Gaussian-copula correlation between grouped items, and full percentile output. The statistical engine is the same category of tool; what's different is that every input, label, and output is already speaking construction, not generic analyst language.
Tell us. BidRisk is built by an estimator who uses it on real bids — if there's a gap that matters for construction bid risk specifically, it's the kind of feedback that directly shapes what gets built next. That's not true of most enterprise software.
Paste your last bid in. Ten minutes, no card required, and you'll know exactly what you're comparing.
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