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Algen.AI

Algen.AI engineers production-grade generative AI systems and develops AI products through Algen Labs, including the Traccia agent observability and governance platform.

No reviews yet Bengaluru, India Small Founded 2026
Page last updated
28 August 2026
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About Algen.AI

Algen.AI is the trading identity of Algen AI Private Limited, a Bengaluru technology company focused on production generative AI systems. Its work covers agent architecture, workflow automation, retrieval, governance and the data infrastructure required to support AI applications. The company treats AI as part of an operational system rather than a standalone chatbot. Projects begin with the existing workflow, data paths, constraints, failure points and business measurements that determine whether the system is useful. Company details: - Legal entity: Algen AI Private Limited - Corporate identification number: U62020KA2026PTC215610 - Incorporated: 7 February 2026 - Headquarters: WeWork Roshni Tech Hub, Marathahalli Main Road, EPIP Zone, Bengaluru, Karnataka 560037, India - Email: [email protected] - Team size: 2 to 10 employees - Directors: Vijay Prasad Poudel and Aditya Kumar Saroj Algen.AI operates across three connected areas: - Consulting for production agent systems, generative AI automation, retrieval pipelines, governance and AI-ready data infrastructure - Algen Academy workshops for developers, product managers, technical leads and AI architects - Algen Labs, which develops and operates software products Traccia is an Algen Labs platform for AI agent observability, evaluation, cost attribution, governance and runtime policy enforcement. The Algen Labs portfolio also includes LatticeInk for visual creation and Neugie as an AI parenting companion. Each product addresses a separate use case while drawing on the company's experience with AI application engineering. Algen.AI emphasizes defined system boundaries, human fallback paths, observability and failure analysis. Its systems connect with existing tools and records so that AI becomes part of the workflow instead of another isolated interface. The company is best suited to organizations moving beyond early AI experiments and needing production engineering, operational controls or an implementation partner.

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