Competitor Pricing Heatmap
AI ingesting 24 live feeds — 8 signals active
| Competitor | Term 10yr | Term 20yr | Whole Life | UL Flex | VUL Core |
|---|---|---|---|---|---|
| Axis Re | -2.4% | -2.7% | -1.2% | -2.6% | -2.9% |
| Meridian Life | +3.4% | -0.4% | -3.1% | +1.0% | -3.1% |
| Vantage Cap | +2.3% | +1.6% | +3.9% | -0.3% | +0.8% |
| CoreShield | -2.0% | +0.5% | +1.6% | +3.0% | +0.3% |
| NovaPrime | -1.2% | +1.7% | +3.9% | +3.8% | +2.3% |
Every week you wait, the market doesn't.
Manual pricing cycles were designed for a world where competitor data arrived monthly. That world ended. Here's what the gap looks like in practice.
Numbers that don't need qualifying language.
Reduced rate erosion 18% in Q1
Deployed 340 micro-price adjustments across 12 product lines in 90 days. Zero manual analyst hours after initial config.
Captured $7.2M in previously invisible margin
Basis-point optimization across 18 loan cohorts. Calibrate identified competitor underpricing windows that manual review had missed for 11 months.
Fee schedules repriced from gut feel to data
Fee schedules last updated by intuition in 2021. Calibrate surfaced 47 pricing anomalies in week one — $1.8M annualized uplift identified before a single deployment.
What's sitting in your pricing blind spot?
Input your book size and current cycle. Calibrate models your recoverable margin.
Pre-filled with your inputs. 2-step, 90 seconds.
Your pricing data is
already talking.
The question isn't whether you have a pricing gap. Every mid-market book does. The question is whether you find it in the next 6 minutes — or the next 6 weeks.
No commitment. 90-second form. Results in 24 hours.