Disseqt AI has joined hands with Tata Technologies and Infosys to accelerate the development of customised agentic AI solutions for businesses in the automobile and fintech industries.
Under this collaboration, Disseqt will work directly with the IT and DevOps teams at both companies to streamline and speed up the creation of tailored AI systems. The main objective is to help automotive and fintech organizations adopt agentic AI in a safe, efficient, and scalable way.
Disseqt AI, with offices in Bangalore, San Francisco, and Dublin, offers an enterprise platform designed to significantly reduce the cost of testing and operating agentic AI systems—by as much as 70%. It also helps organizations improve productivity by up to 80%, making AI adoption faster and more efficient.
The platform gives IT and DevOps teams the tools to test, simulate, and monitor agentic AI across various industries. This helps companies scale their AI initiatives safely while ensuring they meet important ethical, 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.”
This announcement follows Disseqt AI’s recent partnerships with HCLTech and Microsoft, formed last month to support financial institutions in adopting agentic AI in a secure and well-governed manner.
Disseqt AI was founded by industry veterans Apoorva Kumar (CEO), Manish Atri (CTO), and Cyril Treacy (COO), who bring experience from leading global companies such as Microsoft, Salesforce, and Cradlepoint.
The India team is supported by Anurag Ranjan, VP of Partnerships and FinOps, with both Manish Atri and Anurag Ranjan based in Bangalore.
The company’s platform helps enterprises move from AI testing to full-scale deployment by offering tools to test, monitor, audit, and manage AI systems with confidence.
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