
Quantum Gandiva AI develops an autonomy stack that aims to make intelligent systems more reliable, observable, and capable of long-horizon planning. It focuses on long-horizon autonomy through Project Agni (AGI) with planning, tool use, and self-improving loops guarded by safety rails, plus evaluation harnesses like AgentBench, WebArena, and Agent-SafetyBench. The stack emphasizes efficient models, context engineering, memory and tool integrations, and adapters for open protocols such as MCP and agent-to-agent communication. In parallel, Project Sakthi pursues near-term quantum work for error correction and hybrid optimization, with a roadmap toward scalable, testable quantum-enhanced intelligence built in India and developed through global collaboration.

Quantum Gandiva AI develops an autonomy stack that aims to make intelligent systems more reliable, observable, and capable of long-horizon planning. It focuses on long-horizon autonomy through Project Agni (AGI) with planning, tool use, and self-improving loops guarded by safety rails, plus evaluation harnesses like AgentBench, WebArena, and Agent-SafetyBench. The stack emphasizes efficient models, context engineering, memory and tool integrations, and adapters for open protocols such as MCP and agent-to-agent communication. In parallel, Project Sakthi pursues near-term quantum work for error correction and hybrid optimization, with a roadmap toward scalable, testable quantum-enhanced intelligence built in India and developed through global collaboration.