Rana Dutta, CEO and co-founder of Quantum Tiger portrait image with company logo an beige geometric background

AI Intelligence Startup Quantum Tiger Raises Pre-Seed at $2 Million Valuation

Quantum Tiger, an AI startup building what it calls operational intelligence infrastructure for enterprises, has closed its pre-seed round at a valuation of $2 million. The round was backed by a Middle East-based family office, and the investment amount was not disclosed.

The Kolkata-founded startup, backed by an undisclosed Middle East family office, is building an AI-native intelligence operating system to help enterprises turn fragmented data into operationally usable context.

Quantum Tiger, an AI startup building what it calls operational intelligence infrastructure for enterprises, has closed its pre-seed round at a valuation of $2 million. The round was backed by a Middle East-based family office, and the investment amount was not disclosed.

Founded in Kolkata, the company is developing an intelligence operating system aimed at helping enterprises and institutions turn fragmented information into context that can be acted on. Its platform is built to ingest and connect documents, operational reports, communications, intelligence feeds and enterprise knowledge systems within a single AI-native workspace, drawing on graph-based memory and contextual reasoning models. According to the company, it combines graph memory systems, adaptive risk analysis, contextual AI reasoning and intelligence workflows to support strategic decision-making.

Besides, the company is positioning itself among a newer set of intelligence infrastructure companies that emphasize synthesizing information across systems rather than conventional analytics, pointing to pressures such as fragmented data, geopolitical uncertainty, cyber threats, regulatory complexity and rapid AI disruption.

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“Most organizations today do not suffer from lack of data. They suffer from lack of intelligence coherence,” said Rana Dutta, CEO and co-founder. He said systems that can reason across fragmented operational environments and assist leadership with real-time intelligence will define the next decade, and that he expects intelligence infrastructure to become as foundational to enterprises as cloud infrastructure has over the past two decades.

Manas Paul, COO and co-founder, added how operational complexity is growing faster than most organizations can synthesize intelligence, and that the opportunity lies in moving beyond static dashboards and isolated analytics toward continuous contextual reasoning that connects relationships and strategic context in real time.

The company said it is currently focused on building enterprise-grade systems for operational analysis, relationship mapping, risk synthesis, contextual memory workflows and AI-assisted reasoning, with an emphasis on explainability and adaptability.

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