Disseqt AI Partners with Tata Technologies and Infosys for Agentic AI Solutions
Bangalore-based platform to help develop customised agentic AI applications for automobile and fintech sectors worldwide.
Disseqt AI announced a partnership with Tata Technologies and Infosys on Wednesday to accelerate the development of tailored agentic AI applications for companies in the automobile and fintech industries.
Under the partnership, Disseqt will work with the IT and DevOps teams at both Tata Technologies and Infosys to fast-track the production of customised agentic AI solutions. The collaboration aims to help auto and fintech companies adopt agentic AI technology in a secure manner.
Disseqt AI, which operates from Bangalore, San Francisco, and Dublin, offers an enterprise-grade platform designed to reduce agentic AI testing and operations costs by 70% while improving productivity by up to 80%. The platform enables IT and DevOps teams to test, simulate, and monitor agentic AI systems across various industries, allowing enterprises to scale their AI operations while maintaining ethical standards, governance, and compliance requirements.
"This is a landmark announcement for us as we further embed Disseqt into enterprise workflows for testing, simulation, monitoring and auditability purposes," said Apoorva Kumar, Founder and CEO of Disseqt AI. "We are already working closely with both Tata and Infosys on several projects and are proud to be part of their innovation initiatives."
The announcement follows Disseqt AI's strategic collaboration with HCLTech and Microsoft last month, which focused on guiding financial services institutions through agentic AI adoption.
Disseqt AI was founded by industry veterans Apoorva Kumar (CEO), Manish Atri (CTO), and Cyril Treacy (COO), who previously worked at Microsoft, Salesforce, and Cradlepoint. The company's India operations are strengthened by Anurag Ranjan, who serves as VP of Partnerships and FinOps. Manish Atri and Anurag Ranjan are based in Bangalore.
The company's platform allows enterprises to move from AI experimentation to production by providing tools to test, monitor, audit, and provision AI systems with confidence.
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By Shristi Ohri
04 Dec 2025
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Sarthak Mahajan
