GPU-accelerated ALM platform

Actuarial modeling, reimagined.

Every valuation and reserve workload completes in under 10 seconds. Nested stochastic VM-21 ASPA — which takes days on legacy systems — completes in under 2 minutes.

The problem

Your engine has two bills.

Every carrier pays for the actuarial engine and the entire data infrastructure built around it to store, query, and reconcile results. The second bill is often larger than the first.

Bill #1

The actuarial engine

Prophet, AXIS, MG-ALFA. Annual licenses, runtime infrastructure, internal modeling team. The line item the CFO already sees.

Bill #2

Everything built around it

Results warehouse. ETL pipelines. BI dashboards. A reconciliation team to chase down stale numbers. None of it actuarial work — all of it a workaround for batch compute.

What batch computing required

The supporting infrastructure.

Stage 1
Actuarial Engine
Prophet / AXIS / MG-ALFA
Stage 2
ETL Pipelines
Engine → warehouse
Stage 3
Results Warehouse
Snowflake / Databricks
Stage 4
BI Dashboards
Tableau / PowerBI
Stage 5
Reconciliation Team
Stored vs. current
$1M+
Results warehouse / yr
3–5
Data engineer FTEs
$200K+
BI tool licenses / yr
2–4
Reconciliation analysts

Your team built the right infrastructure for the tools that were available. Now better tools exist.

The fix

Don't store results.
Store inputs.
Rerun on demand.

Inputs are megabytes. Results are terabytes. Assumptions, scenarios, portfolios — all small, versioned, auditable.

For per-policy detail, the audit trace produces per-period cash flows, state distributions, and reserves for any single contract in milliseconds. You get the detail without storing the detail.

Side by side

What InstaVal replaces.

Current infrastructureInstaVal approachSavings opportunity
Results warehouseRerun on demand$100K – $1M+ / yr
ETL pipelines (engine → warehouse)None needed1 – 3 FTEs
BI dashboards on stored resultsDirect UI against live runsTool licenses + FTEs
Results retention (7+ years)Input retention (1000× smaller)Storage + backup + DR
Reconciliation teamNot possible — always current2 – 4 FTEs
"Which run produced this?"Sequence IDs + deterministic rerunsAudit overhead

The proof

The 10-second SLA.

Every valuation and reserve workload completes in under 10 seconds. Nested stochastic VM-21 ASPA — which takes days on legacy systems — completes in under 2 minutes.
< 10s
Daily workloads
Valuation, reserves, ALM
< 2min
Quarterly workloads
Nested stochastic VM-21 ASPA
11,150×
Speedup
GPU vs. CPU-based legacy engines

Below 10 seconds, the interaction feels like a conversation with the system. Actuaries iterate: tweak an assumption, rerun, see the answer, tweak again. That workflow doesn't exist on Prophet/AXIS — and their architecture can't be retrofitted to support it.

The bigger frame

InstaVal isn't competing with Prophet.

It's competing with Prophet + Snowflake + ETL + Tableau + a data engineering team + a reconciliation team. Priced against that total, even a premium InstaVal license is a rounding error.

Faster is a feature. Eliminating half the carrier's actuarial IT stack is a transformation. The legacy actuarial software industry has spent twenty years building workarounds for slow compute, and those workarounds have become a larger line item than the original software.

See it on your own data.

A 30-minute conversation: we walk you through the architecture, run a live valuation against a portfolio shape that matches yours, and quantify what the supporting stack is costing you today.