Honeycomb Insurance Tech Stack

AI-powered real estate insurance platform for landlords and property managers

Insurance Chicago, Illinois 51–200 employees Founded 2019 Privately Held

Honeycomb Insurance uses computer vision, LLMs, and agentic workflows to automate underwriting and policy customization for rental properties. The tech stack reveals a machine-learning-first architecture (PyTorch, TensorFlow, Hugging Face, scikit-learn) paired with active data-pipeline infrastructure (Airflow, Prefect, Dagster, Dask) and emerging GenAI patterns (LangGraph, RAG adoption). Current projects center on human-in-the-loop data pipelines and agentic workflow infrastructure—suggesting the company is operationalizing ML models and reducing manual underwriting steps.

Tech Stack 31 technologies

Core StackNode.js MongoDB NestJS Kubernetes Docker Firebase OpenAI PyTorch TensorFlow scikit-learn Hugging Face Python HubSpot Salesforce NetSuite Bill.com DocuSign BigQuery Apache Airflow Prefect Dagster Encord Labelbox CVAT LangGraph Google Workspace Talkdesk Excel GCP Dask

AdoptingRAG NetSuite

What Honeycomb Insurance Is Building

◆Challenges

Reducing contracting and setup time
Improving agency efficiency
Improving risk assessment accuracy
Product-market fit
Resolving partner technical issues
Refactoring legacy systems
Billing discrepancies
Scaling annotation workforce
Maintaining data quality consistency
Scaling direct sales team

▲Active Projects

Feedback loop integration
Agency onboarding and training
Product enhancement feedback loop
Business reviews with agency principals
Core micro-services foundation
Llm/agentic workflow infrastructure
Human-in-the-loop data pipeline
Agency onboarding process improvement
Partner issue resolution
Agentic workflows and genai applications

Hiring Activity

Steady30 roles · 10 in 30d

Department

Sales

Data

Product

Finance

Engineering

Insurance

Ops

Support

Seniority

Mid

Senior

Director

Junior

Manager

Notable leadership hires: Inside Sales Director

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About Honeycomb Insurance

Honeycomb Insurance provides customized, digitally-native insurance policies for apartment buildings, condominium associations, and single-family rental properties. The company uses artificial intelligence and computer vision to automate risk assessment and policy pricing, allowing customers to purchase coverage online without broker overhead. Founded in 2019 and headquartered in Chicago, Honeycomb sells to property owners, managers, associations, and retail agents. The organization is currently scaling with a distributed team across the US, Israel, Australia, South Africa, and Peru—reflecting heavy investment in data science and engineering alongside agency partnerships.

HeadquartersChicago, Illinois

Company Size51–200 employees

Founded2019

Hiring MarketsIsrael, United States, Australia, South Africa, Peru

Frequently Asked Questions

What AI and machine learning tools does Honeycomb Insurance use?

PyTorch, TensorFlow, scikit-learn, Hugging Face, OpenAI, and LangGraph. The company also uses Encord, Labelbox, and CVAT for computer vision annotation and is actively adopting RAG patterns.

What data pipeline and orchestration tools does Honeycomb use?

Apache Airflow, Prefect, and Dagster for workflow orchestration. Dask for distributed computing. BigQuery for data warehousing on Google Cloud Platform.