Insurance teams make decisions that move the loss ratio with aidnn.

Turn claims, policy, and underwriting data into decisions that move the loss ratio.aidnn helps insurance teams turn messy claims data, policy admin records, and submission signals into verified analysis in minutes.

Insurance data analytics demo showing actuarial loss ratio counterfactual analysis and the impact of a rate change on observed loss ratio.

Test Rate Decisions Faster

See how rate changes, frequency, and severity shape loss ratio outcomes.

How It Works

What Insurance Teams Use aidnn For

From claims operations to underwriting performance, aidnn handles your most complex, data-rich workflows without a data engineering team.

Optimize Your Book Health

Identify unprofitable policies and sequence non-renewals within regulatory and operational limits.

Know Your Channel Economics

Compute fully-loaded per-policy profit across independent, exclusive, and direct distribution channels.

Measure Real Model Impact

Quantify deployed model lift against a matched control, balanced on tier, age, and history.

The Problem

Insurance Data Is Fragmented

aidnn is built to make it usable.

Insurance data analyst reconciling Guidewire policy, claims, finance, and reinsurance data across systems.

From policy admin systems with millions of records to claims files spanning every line of business, your data lives across Guidewire, Duck Creek, legacy mainframes, and a long tail of spreadsheets, which makes verifying answers nearly impossible for most LLMs.

  • Policy admin, claims, and finance systems don't connect, forcing manual reconciliation instead of analysis.

  • Joining data across Guidewire, Duck Creek, billing, and reinsurance systems takes weeks.

  • Analytics are slow, error-prone, and sensitive policyholder data can't leave your environment.

NeoCortex connecting and reconciling datasets to prepare verified, AI-ready data for analytics.

The Intelligence Layer Behind Better Insurance Decisions

Verify Consistent Insurance Analysis With aidnn

10M+

Policy and claims records processed in a single dataset

95%+

Accuracy target for claims and underwriting consolidation

5X

Faster on multi-source, multi-step workflows

0

Data engineers needed to get answers

Neocortex AI data network icon representing connected systems and unified analytics.

aidnn Neocortex™ | The Intelligence Layer

Cognition That Compounds, Under Your Control

Insurance runs on expertise, underwriting judgment, claims handling experience, and actuarial conventions built over decades. NeoCortex, the cognition layer behind aidnn, gives your agents hierarchical memory of your terminology, metrics, and institutional knowledge. New learnings pass through validation gates and administrator approval, ensuring trusted information remains accurate and governed. When an underwriter retires, their expertise stays within your organization instead of walking out the door.

  • Hierarchical memory: Four layers of intelligence that separate signal from noise.

  • Verified learning: Dream Time consolidation reinforces patterns that hold up.

  • Admin governance: Every learning is reviewable, reversible, and audit ready.

  • Intelligence that compounds: The more your team uses aidnn, the smarter it gets.


From Messy Data to Clear Decisions

aidnn deploys a team of specialized agents, not a single model, built to handle the complexity of multi-source insurance data with full transparency at every step.

Frequently Asked Questions

What does aidnn do for insurance teams?

aidnn is an AI agent that turns fragmented claims, policy, and underwriting data into verified analysis. It reconciles data across systems that don't agree, runs the analysis, and independently verifies every step before a number reaches you.

Can aidnn work across claims and policy systems that don't share definitions?

Yes. aidnn is built for exactly this. It reconciles conflicting definitions of the same entity across systems as part of the analysis, rather than requiring you to model the data first.

How does aidnn verify its answers?

A separate critic agent reviews every plan, query, and result, with veto authority over logic, math, and code. Verification runs inline during execution and again more deeply afterward. Every step is logged end-to-end.

Is our data used to train models?

No. aidnn does not train models on customer data. Environments are isolated and encrypted, aidnn can be deployed so data never leaves your environment, and Isotopes AI maintains SOC 2 Type II compliance.

How much does aidnn cost?

Pricing is custom. aidnn is sold as an enterprise product through our sales team, and there is no public price list or self-serve tier. Contact sales for pricing.

aiden logotype

Ready to put aidnn to work?

We run free, structured POCs. Bring your messiest claims or underwriting dataset. We'll show you what's possible.

Financial data reconciliation dashboard interface showing file upload section with multiple PDF files listed and a note explaining reconciliation instructions for Q1 2025 vendor invoices and expense reports.