Turning VM-22 Compliance Into Competitive Advantage — where deep actuarial science meets modern Python-based engineering.
FolioX helps insurers design clean, reliable, and scalable Python-based actuarial platforms — combining deep domain expertise with modern engineering to elevate your models, processes, and governance.
Full-cycle project delivery from raw data ingestion to final regulatory output. Optimize capital efficiency with speed and precision while reducing operational risk across your actuarial function.
Leverage the proprietary ADAM platform for end-to-end VM-22 transformation — from raw data intake through stochastic testing to final regulatory guidance, minimizing reserve volatility.
The ADAM architecture delivers automated governance, full data lineage, stress testing, and attribution analysis — so every result is explainable, auditable, and defensible to regulators.
A purpose-built Python platform that transforms how actuarial work is produced, governed, and communicated — from assumptions to board-ready analytics.
End-to-end automation from data ingestion to report generation.
Full version control and audit trail for every model change and assumption update.
Decompose reserve movements and surface risk exposures with clarity.
Policy, asset & assumption feeds with automated QC checks
Interest rate paths, market shocks & reinvestment strategies
ALM projections, AAT cash flow testing, reserve calculation
Reserve movement attribution, data lineage, Git commit log
Audit-ready reports, regulator documentation, board summaries
FolioX provides end-to-end actuarial support for insurers building or modernizing their actuarial platforms — with deep specialization in VM-22, ALM, and risk modeling.
Quarterly VM-22 valuation, VM-31 documentation, Cash Flow Testing (AAT), and stochastic analytics.
Asset-liability projection engines, reinvestment strategies, interest rate scenarios & stress testing.
Independent model review, replication models, Git-based governance workflows, and auditor documentation.
Lapse and mortality studies, policyholder behavior modeling, and transparent methodology documentation.
Quarterly reporting pipelines, Python-based automation frameworks, and clean auditable run environments.
MYGA/FIA pricing, economic value impact analysis, and reinsurance structure evaluation.
"We believe actuarial work should be:
Clean. Traceable. Auditable. Scalable. Useful."
— FolioX Design Philosophy