AI Actuarial Engine

Close quarterly reserves in days, not weeks

Automates the IBNR and pricing models your team rebuilds by hand each quarter, with a full audit trail regulators can verify without asking you to reconstruct the spreadsheet.

45%
Faster quarterly close
Average across early access participants
12+
Actuarial methods automated
Chain ladder, BF, Cape Cod and more
100%
Regulator-ready audit trail
Every parameter, every run, timestamped
KR
Seoul-based engineering team
Built for Korean insurance carriers
The problem

Actuarial close cycles are fragile by design

Every quarter, actuarial teams at insurance carriers spend weeks rebuilding the same development triangles and IBNR models from scratch in Excel. One formula error propagates silently. One version-control slip means regulators are reviewing a file that doesn't match the final reserve recommendation.

The knowledge of which method was chosen, why the tail factor was adjusted, and who approved the final run lives in email threads and tribal memory. When an examiner asks for the model behind Q3 2024, someone has to reconstruct it from a backup drive.

HyperCal replaces that cycle. The same actuarial methods your team trusts, executed inside a versioned engine that captures every parameter change, every run, and every approval in a structured audit log.

Core capabilities

Three engines, one close cycle

Reserving, pricing calibration, and compliance documentation running from a single data pipeline.

IBNR Reserving Engine

Chain ladder, Bornhuetter-Ferguson, Cape Cod, and frequency-severity methods run in parallel. Credibility weights applied automatically. Results traceable to source triangles.

Pricing Model Calibration

Rate adequacy analysis, indicated change calculations, and territorial factor fitting integrated with your loss data. Schedule credits and debits applied consistently across segments.

Audit and Compliance Layer

Immutable run logs capture every method selection, parameter choice, and reviewer approval. Exportable to PDF or structured JSON for regulatory submissions.

How it works

From raw loss data to signed reserve in four steps

01

Connect your data

Map your policy and claims exports to HyperCal's triangle builder. Supports CSV, Excel, and direct database connectors.

02

Configure methods

Select actuarial methods per line of business. Set credibility parameters, tail selections, and blend weights once; HyperCal applies them consistently each quarter.

03

Run and review

Actuaries review the model output in a structured UI designed for actuarial sign-off. Annotate adjustments with rationale attached to the run record.

04

Export with audit trail

Approve the final reserve. HyperCal generates a time-stamped audit log with every parameter, every reviewer, and every data version locked into a single exportable record.

We spent the first two weeks of every quarter rebuilding triangles we had already built the quarter before. HyperCal turned that into a two-hour verification run. The regulator review was the smoothest we have had in four years.

Head of Reserving, Mid-tier P&C Carrier

Early Access Program, 2026

Early access

Reserve your spot in the program

We are working with a limited number of carriers during the early access program. Tell us about your reserving cycle and we will schedule a technical walkthrough.