Acko operates a D2C insurance platform built on cloud infrastructure (AWS, GCP, Azure) with heavy data instrumentation (BigQuery, dbt, Airflow, Tableau) and emerging LLM integration (OpenAI, Bedrock). Current hiring momentum is weighted toward operations, design, and healthcare roles—not engineering—suggesting the company is optimizing claim workflows and product experience rather than scaling new technical foundations. Active projects reveal a shift toward AI-enabled features and claim automation, while pain points cluster around claim turnaround time and processing efficiency, indicating friction in their core operational loop.
Acko is a digital-native insurance company founded in 2016 and headquartered in Bangalore. The company serves over 200 million customers across India through a direct-to-consumer model, offering auto, health, and embedded insurance products with zero commission, zero paperwork, and app-based claim management. Acko operates at scale—75+ million customers served, ~900 million policies issued—and is structured as a private company with 1,001–5,000 employees. The product footprint spans web (React, HTML/CSS) and mobile (Android, iOS), backed by cloud infrastructure across three major providers.
Acko runs on AWS, GCP, and Azure for cloud infrastructure; BigQuery and dbt Cloud for data pipelines; OpenAI and Bedrock for LLM features; and React/Android/iOS for front-end. Analytics tools include Tableau, Power BI, and Metabase; DevOps relies on Docker, Kubernetes, and Airflow.
Active projects include AI-enabled product features, backend LLM integration, claim processing quality improvements, D2C design strategy, data mart design, and greenfield data consolidation—reflecting a focus on automation and operational efficiency.
Acko's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.