Hyderabad, India, 18th October 2025, ZEX PR WIRE– Trivolve Tech, a blockchain and AI product studio, in collaboration with Quixy, a leading no-code/low-code enterprise platform, has officially launched its Forensic Management System (FMS) on the Cardano Mainnet. This marks a historic milestone in digital governance as the partnership brings blockchain-backed transparency, scalability, and security to forensic evidence management for state governments in India.
Transforming Forensic Evidence Management
The newly launched FMS is already operational and has successfully processed 1,000+ transactions within the first 3 days of going live. Designed to address longstanding issues in forensic evidence handling, the system leverages Cardano blockchain technology to ensure that every piece of forensic evidence is immutably recorded, tamper-proof, and fully auditable.
With Uttar Pradesh as the pilot state and handling over one million forensic cases annually, the system aims to strengthen forensic processes and enhance the credibility of evidence in court proceedings.
Trivolve Tech CEO Rahul Konudula remarked:
“FMS is expected to process at least 10,000+ transactions within its first month on the Cardano Mainnet, highlighting both the scale and efficiency of the solution. With growing adoption, this platform may soon become the de facto national standard for secure forensic evidence handling, redefining trust in law enforcement and judiciary processes.”
About Quixy
Quixy is India’s leading no-code/low-code platform, empowering enterprises to automate workflows and build applications without coding. With over 200,000 users and 26,000 apps deployed, Quixy has become a key player in digital transformation across industries, including defence and law enforcement.
About Trivolve Tech
Trivolve Tech is a product development studio specializing in Blockchain and AI solutions. With a focus on government and enterprise innovation, Trivolve helps organizations adopt blockchain for security, transparency, and growth, while pioneering real-world asset tokenization.
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