More iterations. Better decisions.
Aktua turns messy insurance data into governed models you can run, question, refine, and rerun. From a changed assumption to a tested result: minutes, not hours.
Portfolio result
One workspace.
More chances to get it right.
Prepare data, develop assumptions, run scenarios, and explain the result without losing context between tools. Every iteration carries its evidence forward.
Aktua Data
Turn messy carrier files into validated, traceable, model-ready claims and policy data.
- Schema-aware ingestion
- AI-assisted mapping
- Versioned data publications
Reserba
Build triangles, compare methods, select development, and approve indications.
- Paid and incurred views
- Method comparison
- Controlled selections
Kalibra
Fit and approve frequency, severity, trend, and related model assumptions.
- Fit diagnostics
- Scenario comparison
- Approved assumption sets
Simulat
Compose assumptions, dependence, catastrophe, assets, and protection into financial outcomes.
- Monte Carlo simulation
- Correlation and reinsurance
- Flexible reporting
Run. Learn. Refine. Repeat.
Each cycle starts with workable data and ends with a better next question.
Understand the data
Use AI to profile, map, validate, and surface ambiguity for review.
Choose assumptions
Select development, fit models, and approve what the next run will use.
Run at production scale
Apply dependence, catastrophe, assets, and protection without shrinking the problem.
Compare, explain, rerun
Find the drivers, change the inputs, and answer the next question immediately.
Minutes, not hours.
From a changed assumption to a tested result, Aktua compresses the analytical loop into minutes. That means more scenarios, more questions, and more chances to improve the decision before the work leaves your desk.
Streaming artifacts, bounded working sets, and a high-performance engine let you change assumptions and rerun without turning every new question into a new project. It is built for realistic portfolios with catastrophe, dependence, and reinsurance; the outputs remain deterministic and reviewable.
Review the benchmark methodologyThe point is not one fast run. It is the next run—and the one after that—without losing correctness or lineage.
Model the most common contracts. Evaluate alternatives fast.
Build programs from proportional, per-risk, catastrophe, and aggregate protection. Change attachments, limits, placement, reinstatements, scope, or contract priority—then rerun and compare the retained economics in minutes.
Gross and net results, ceded premium, recoveries, and tail metrics stay connected to the exact program that produced them, so every alternative is ready to explain.
Test a reinsurance workflowMost fields map confidently. Fifteen need review because the source labels or values support more than one interpretation…
AI helps with the mess. You keep control.
Aktua uses AI to profile unfamiliar files, propose mappings, surface ambiguity, and explain model results. Every transformation stays reviewable.
Source fields are profiled and matched to governed schemas.
Ambiguous mappings and proposed transformations are shown for review.
Reruns and model-changing actions stop for explicit approval.
Compare, learn, and ask again.
Put scenarios side by side, identify what moved the result, and trace every number back to the data, assumptions, and run that produced it.
Designed to earn review.
Controls are built into the way work moves—not added as a report after the decision.
Local-first execution
Core model data and simulation run on the user’s machine by default.
Versioned publications
Data, assumptions, and decisions cross product boundaries with identity and hash.
Reproducible runs
Settings, seeds, manifests, and fingerprints support repeatable investigation.
Explicit approval
Material publications and AI-proposed execution remain human decisions.
Bring us the question you
wish you could rerun today.
We are working with a small number of insurance teams to turn serious actuarial work into a faster, iterative, governed workflow.
Start a working session Founder-led demos · No source access required · Confidential by default