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Agentic AI platform Disseqt AI has announced new partnerships with Tata Technologies and Infosys to help both companies fast-track the development and deployment of customized Agentic AI applications for clients in the automotive and financial services industries. The collaboration aims to streamline how major enterprises build, test and operationalise next-generation AI systems at scale.
Under the partnership, Disseqt will work closely with the IT and DevOps teams of Tata Technologies and Infosys to support the creation of tailored Agentic AI applications, enabling automakers and fintech firms to adopt domain-specific AI solutions more quickly and securely. The company says the alliances will help large enterprises embrace Agentic AI without compromising governance, safety or compliance.
Headquartered in Bengaluru with additional operations in San Francisco and Dublin, Disseqt offers an enterprise-grade platform designed to reduce the cost of Agentic AI testing and operational workflows by up to 70%, while improving engineering productivity by as much as 80%. Its platform allows teams to test, simulate, monitor and audit agentic systems in controlled environments—capabilities that have become increasingly essential as companies adopt autonomous AI components across critical business functions.
“This is a landmark announcement for us as we further embed Disseqt into enterprise workflows for testing, simulation, monitoring and auditability,” 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 tie-ups follow Disseqt’s recent collaboration with HCLTech and Microsoft, announced last month, to help financial services institutions navigate Agentic AI adoption. Together, the partnerships underscore growing demand for safer, more controlled ways to build and deploy advanced AI agents in highly regulated industries.
By working with some of India’s biggest technology and engineering companies, Disseqt aims to strengthen the foundations of enterprise Agentic AI adoption globally—enabling organizations to implement powerful, industry-specific AI agents without sacrificing ethics, transparency or operational oversight.
Under the partnership, Disseqt will work closely with the IT and DevOps teams of Tata Technologies and Infosys to support the creation of tailored Agentic AI applications, enabling automakers and fintech firms to adopt domain-specific AI solutions more quickly and securely. The company says the alliances will help large enterprises embrace Agentic AI without compromising governance, safety or compliance.
Headquartered in Bengaluru with additional operations in San Francisco and Dublin, Disseqt offers an enterprise-grade platform designed to reduce the cost of Agentic AI testing and operational workflows by up to 70%, while improving engineering productivity by as much as 80%. Its platform allows teams to test, simulate, monitor and audit agentic systems in controlled environments—capabilities that have become increasingly essential as companies adopt autonomous AI components across critical business functions.
“This is a landmark announcement for us as we further embed Disseqt into enterprise workflows for testing, simulation, monitoring and auditability,” 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 tie-ups follow Disseqt’s recent collaboration with HCLTech and Microsoft, announced last month, to help financial services institutions navigate Agentic AI adoption. Together, the partnerships underscore growing demand for safer, more controlled ways to build and deploy advanced AI agents in highly regulated industries.
By working with some of India’s biggest technology and engineering companies, Disseqt aims to strengthen the foundations of enterprise Agentic AI adoption globally—enabling organizations to implement powerful, industry-specific AI agents without sacrificing ethics, transparency or operational oversight.
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