Bussiness Ideas

Businesses using traditional analytics and modern AI agents struggle with complex event tagging, lack of execution visibility, and data privacy risks. Standard tools fail to trace agentic chat responses, offer no AI evaluation metrics, and force sensitive user data onto third-party cloud servers, creating severe compliance risks (GDPR, SOC2) for enterprise organizations. AInamika provides a zero-code SDK for instant web/mobile tracking and extends into Agentic Chat Analytics with response waterfall tracing, evaluation metrics (evals), and error tracking. Crucially, our hybrid self-hosted engine runs within the customer’s private cloud infrastructure, ensuring full AI operational visibility while keeping sensitive user data entirely in their control. Our uniqueness lies in bridging product analytics with Agentic AI observability under full data sovereignty. Unlike standard SaaS providers, AInamika delivers real-time conversational querying, AI chat response waterfall inspection, and LLM evaluation frameworks through a self-hosted architecture that runs in the client’s private cloud without sending data to external servers We operate a recurring SaaS model: a tiered subscription for cloud-hosted mid-market applications, and a high-margin enterprise licensing model for self-hosted private cloud deployments. With zero incremental physical distribution costs, our analytics software scales frictionlessly across global software, web3, and AI developer ecosystems.

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Startup Teams

• 1 Adarsh Singh (Founder)
• 2 Deepak Singh (Director)
• 3 Kiran Singh (Director)

Incubation Details

Not Incubated