kasko2go

AI-powered risk assessment and decision intelligence platform for motor insurance carriers

Data & Analytics Startup Public

Overview

K2G (formerly kasko2go) is a data analytics and risk assessment platform for the motor insurance sector, providing AI-driven tools that help carriers improve underwriting accuracy, pricing, and claims efficiency. The company serves carriers seeking to deploy usage-based insurance (UBI) models and modernize their actuarial and operational workflows.

The company\s core platform, K2G BOX, integrates data cleansing, alternative data enrichment, and actuarial modeling through a suite of specialized AI agents. Its proprietary Normal Sigma engine processes over 0.5 petabytes of data and incorporates more than 800 variables -- including driving behavior telemetry and road conditions -- to compute driver-level accident probabilities. These capabilities underpin behavioral pricing models (PHYD/PAYD) that insurers can use to personalize premiums.

Founded in 2017 and headquartered in Baar, Switzerland, K2G operates in 18+ countries and reaches over 200 customers through partnerships with technology resellers and insurance carriers, including Dextra Versicherungen AG and die Bayerische. The company received a USD 650,000 grant from the Israel Innovation Authority in 2021 and became publicly traded in May 2026 with a market capitalization of approximately USD 41 million.

Products & Services

K2G BOX

Comprehensive AI platform providing data cleansing, alternative data enrichment, and actuarial modeling for insurance decision-making. Delivers risk assessment, pricing optimization, and portfolio analysis through a configurable agent-based architecture.

Key Features

Pricing optimization and risk segmentation modeling
Portfolio analysis and growth decision support
Suite of embedded AI agents for claims, reporting, ETL, and data interaction

Target Users: Motor insurance carriers and general insurers

Normal Sigma

Proprietary risk engine that calculates driver-level accident probabilities by analyzing over 0.5 petabytes of data across 800+ variables including driving behavior telemetry and road and environmental conditions.

Key Features

Behavioral pricing support for PHYD and PAYD insurance models
Premium personalization with up to 50% reduction potential for low-risk drivers
Open-source algorithm enabling carrier transparency and auditability

Target Users: Motor insurance carriers deploying usage-based insurance programs

Intelligent Agents Suite

Set of AI agents embedded in K2G BOX that automate specific insurance workflows, including Claim Management, Reporting, Orchestrator, Talk-to-Data, Cleansing, Enrichment, Modelling, EDA, and ETL agents.