hyperexponential Tech Stack

AI-powered pricing and underwriting platform for commercial P&C insurers

Software Development London, England 201–500 employees Founded 2017 Privately Held

Hyperexponential builds decision infrastructure for insurance carriers, reinsurers, and MGAs—processing over $60bn in annual gross written premium. The tech stack reveals a modern data and AI foundation: Kotlin/Java for core services, Python/Spark/Databricks for modeling, React/TypeScript for frontend, plus Kubernetes for scale. Active adoption of GitHub Copilot and heavy investment in LLM inference and domain-specific AI tooling (custom IDE, peer programmer, SDKs) signals a strategic pivot toward embedding AI across pricing, underwriting, and document ingestion workflows.

Tech Stack 19 technologies

Core StackKotlin Java GitHub Copilot Python TypeScript React Tailwind CSS AWS Kubernetes Miro InVision Databricks Unity Catalog Delta Lake Apache Spark dbt Rust GitHub shadcn/ui

AdoptingGitHub Copilot

What hyperexponential Is Building

◆Challenges

Outdated tools for insurance decisions
Scaling security globally
Keeping pace with evolution
Outdated tools for pricing
Slow decision making
Messy legacy realities
Unstructured insurance documents
Outdated tools for insurers
Monolith to modular systems
Scaling legal infrastructure

▲Active Projects

Self-service sdks and apis for product teams
Domain-specific ai peer programmer for insurance
Llm inference infrastructure
Ai peer-programmer in custom ide
Ingestion engine for insurance documents
Design language xpression
Us model development team expansion
Shared design system
Instrumenting ai/ml workloads with observability
Model developer experience 0 to 1

Hiring Activity

Decelerating50 roles · 15 in 30d

Department

Engineering

Sales

Data

Design

Support

Product

Security

Legal

Seniority

Senior

Mid

Junior

Manager

Staff

Lead

Notable leadership hires: Head of Growth

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About hyperexponential

Hyperexponential provides a platform for pricing, underwriting, and portfolio optimization in commercial insurance. The product ingests submissions, automates triage and rating, and surfaces risk insights to drive underwriting and capital allocation decisions. Deployed by carriers in the UK and US, the platform combines actuarial domain expertise with modern engineering: it uses Spark and dbt for data transformation, Databricks for model development, and Kubernetes-managed services for deployment. The company is actively addressing fragmentation in legacy insurance tooling and building toward a modular, API-first architecture that allows underwriters and data teams to operate at faster decision velocity.

HeadquartersLondon, England

Company Size201–500 employees

Founded2017

Hiring MarketsPoland, United Kingdom

Frequently Asked Questions

What is hyperexponential's tech stack?

Core languages: Kotlin, Java, Python, TypeScript, Rust. Data: Databricks, Delta Lake, Apache Spark, dbt, Unity Catalog. Frontend: React, Tailwind CSS, shadcn/ui. Infrastructure: AWS, Kubernetes. AI/tooling: GitHub Copilot (actively adopting), custom LLM inference, observability instrumentation.

What is hyperexponential working on?

LLM inference infrastructure, domain-specific AI peer programmer for insurance, self-service SDKs and APIs, document ingestion for unstructured insurance data, design system (xpression), and migration from monolithic to modular architecture. Model developer experience and AI/ML observability are active focus areas.