Top Tech Startups to Work For in 2026

The Problem: Security incidents don't begin when the alert fires. With the average threat dwell time reaching 241 days, standard 30 to 90-day hot retention limits leave security teams and AI agents completely blind to initial compromise vectors. But keeping years of data searchable on traditional SIEMs requires massive, prohibitively expensive search clusters. Our Solution: Rover is a SIEM and Security Data Lake built for retention economics. We allow teams to search and analyze their full security history as if it were hot—without rehydration, moving data, or managing search clusters. Cold Storage. Hot Intelligence. How we do it: Object-Storage-Native LSM: Rover writes inverted indexes directly alongside full-fidelity security data in customer-owned object storage. No hot index tier. Serverless Query Engine: Search and analytics execute on-demand, fanning out across ephemeral workers that disappear when the work is done. No always-on compute. Signal Mesh: A stateful engine that evaluates detection queries continuously as data arrives, producing instant signals and alerts. Zero Rehydration: Historical data is instantly queryable in sub-seconds.

We are developing next-generation software platforms that combine AI, IoT, data analytics, and smart automation — built specifically for high-compliance sectors like pharmaceuticals, medical devices, and food manufacturing.

HackerRank provides a platform that helps companies to evaluate technical skills and create opportunities. The company helps in hiring skilled developers by allowing tech recruiters and hiring managers to evaluate talent at every stage of the recruiting process.

We're building a relationships operating system for couples - a modern, AI-native platform to help couples gain understanding and coordinate their actions at scale. Our mission is to make relationship health as measurable and improvable as financial and physical health.