The AI kit for Insurance Data Analysts

Builds claims dashboards, KPI reports, and trend charts; for example, a monthly loss-ratio view by region for the exec meeting.

Runs end-to-end claim analysis; for example, cleaning a year of auto claims and benchmarking severity by state.

Reports operations data across claims, cost, compliance, and satisfaction; for example, a weekly backlog and cycle-time report.

Estimates costs, sensitivity, and ROI; for example, whether a new fraud review team pays for itself.

Like "Feature Selection and Engineering"

Like "Data Collection for Cost-Benefit Analysis"

Like "Preprocess A Dataset For Analysis"

Like "Analyze Claims Costs"

A clean, checked loss history with frequency, severity and large losses

Produce weighted survey estimates that are stable and well documented.

Find the accounts linked to a confirmed fraud account and rank them by strength of evidence.

Propose supported assumption updates with reserve impact, ready for review.

Let your AI assistant open and work inside real Microsoft Excel on your Windows PC.

Lets your AI look up and query your Snowflake data, with read-only protection on by default.

Lets your AI look at your BigQuery tables and run SQL queries for you.

Ask your AI questions about your SQL Server database and get answers, tables, and reports back.

Sliq is an AI data-cleaning tool that detects field context to fix dates, typos, and missing values automatically, cutting 70-80% of tedious cleaning so teams c

DataMotto automates data preprocessing by cleansing, enriching, and preparing your raw data, reducing manual effort and saving you hours in making data ready fo

Data Extraction transforms images and documents into organized, actionable data quickly and accurately, streamlining your workflow and saving time on manual dat

Unlock data-driven decisions with this analytics modeling tool, which harnesses advanced statistical models to deliver crucial insights and predictions. Ideal f

Build this to cut question-to-report time while keeping every figure linked to its source.

Build this when you need one traceable path from raw data to a reviewed, shared dashboard.

Build this to reduce manual spreadsheet work while keeping analysis reviewable and evidence-backed.

Build this to make correlated exposure assumptions explicit in portfolio accumulation scenarios.

Analyzes numerical data to find trends, compare metrics, and produce statistical insights.

Design KPI dashboards that drive business decisions with proven patterns.

Build scannable analytics dashboards with modular cards, KPI hierarchy, and muted backgrounds.

Analyzes emerging trends and predicts industry shifts to inform strategic planning and competitive positioning.