Top Artificial Intelligence Startups in India

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.

ETHISYN is an independent product engineering and digital systems studio based in Hyderabad, India. We operate with a high talent density, senior-only assembly of builders across software engineering, autonomous AI agents, and growth architecture. We don't build sluggish corporate software or drown in 6-hour sprint planning meetings. We engineer sub-second web platforms, reactive SaaS MVPs, and fault-tolerant cloud backends that launch in rapid 2-week technical sprints with zero bureaucracy.

Voyce is an AI ghostwriter for LinkedIn. It learns how you write from your past posts, finds today’s news in your niche, writes your take in your voice, and publishes on your schedule: text posts, carousels and image posts, through LinkedIn’s official API. Built for consultants, coaches and fractional executives who win clients on LinkedIn but never have time to post. The product is live, with free and Pro plans.

WALT acts like an AI context engineer to build your ReasonBase™, a dynamic data reasoning layer for your structured data that delivers trusted, consistent AI workflows every time. In short, he readies your data for AI.

ContexQ is born to improve enterprises decision-making with modern AI contextual decision intelligence platform. Unlike traditional analytics limited by two dimensional rows and columns, ContexQ delivers multi-dimensional contextual scorecards powered by knowledge graphs, advanced entity resolution, and composite XAI. This innovation empowers businesses to make faster, more accurate decisions by unifying all the internal and external data contextually and accurately identifying complex ecosystem level risks and opportunities in real-time. Our platform processes billions of reliable data points across corporate registries, climate risks, ESG factors, criminal records, regulatory data, sustainability metrics, and geopolitical indicators. By eliminating the “black box” problem in AI with explainable algorithms, we provide graph-based insights with 12-24 month early warning signals—helping prevent operational losses while unlocking new revenue streams across credit risk, supply chain resilience, sustainable finance, financial crime, and fraud.