Kellton Tech Solutions Limited has announced that its proprietary KAI (Kellton Agentic AI Platform) has been conferred the AGBA Innovation Star Rating Certificate 2026 by the AEGIS Graham Bell Awards (AGBA). The recognition reinforces the company's leadership position in enterprise-grade AI and autonomous systems innovation.

Award Recognition and Certification

The felicitation ceremony was held in New Delhi, where Kellton Tech Solutions formally received the award in recognition of KAI's innovation credentials. The platform was honored in the Generative AI/Agentic AI Innovation category with a High-Potential: Outstanding performance tier rating, valid for the stated certification period.

The AEGIS Graham Bell Awards (AGBA) operates as a nationally recognized technology innovation award under the Ministry of Electronics and Information Technology (MeitY), Government of India. The certification results from a rigorous, independent technology assessment process and carries government-backed institutional credibility.

Platform Deployment and Impact

KAI is currently deployed across enterprise clients spanning multiple geographies, including the United States, Europe, and the Asia Pacific region. The platform delivers measurable impact across industrial, financial services, and retail sectors through its autonomous agents that streamline procurement and supply chain operations, accelerate compliance and customer onboarding workflows, and enhance customer experience and order management.

The implementation results include reduced manual effort, improved accuracy and turnaround times, strengthened auditability, and enhanced operational resilience while driving scalable growth for enterprise clients.

Strategic Significance and Leadership Commentary

Commenting on the recognition, Mr. Karanjit Singh, CEO (APAC), Kellton Tech Solutions Limited, stated: "The AGBA Innovation Star Rating for KAI reflects independent validation of our technology capabilities in the emerging domain of Agentic AI. As enterprises increasingly look to deploy AI systems that can operate autonomously across integrated workflows, platforms such as KAI are designed to address operational complexity with scalable and secure architectures."

He further emphasized that the recognition, supported by the Ministry of Electronics and Information Technology (MeitY), Government of India, enhances institutional credibility for the platform and strengthens positioning in enterprise and public sector engagements. The award is expected to support client confidence during technology evaluation and procurement processes.

Enterprise Implementation Case Studies

KAI has demonstrated its capabilities across diverse industry sectors through successful enterprise implementations:

Global Manufacturing Enterprise (Industrial Sector):

• Deployed autonomous agents across procurement and supply chain operations
• Orchestrated demand forecasting, vendor communication, and exception management
• Achieved reduced manual intervention, improved forecast accuracy, and shortened procurement cycle time
• Resulted in measurable working capital optimization and stronger operational resilience

North American Financial Services Institution (BFSI Sector):

• Implemented to automate multi-step compliance review and customer onboarding workflows
• Integrated autonomous agents with core banking systems and document repositories
• Accelerated onboarding turnaround time and lowered compliance processing effort
• Strengthened audit traceability across regulated environments

Retail & E-commerce Enterprise (Consumer Sector):

• Deployed KAI-powered agents across customer experience and order management systems
• Managed returns processing, dynamic inventory reconciliation, and customer query resolution
• Reduced ticket resolution time, improved fulfillment accuracy, and strengthened customer satisfaction performance
• Enabled scalable growth across digital channels

About KAI Platform

KAI represents Kellton Tech's proprietary Agentic AI platform designed for enterprise-grade deployment. The platform enables organizations to design, deploy, and scale autonomous AI agents capable of executing multi-step workflows, integrating with existing enterprise systems, and delivering measurable operational outcomes across various functions including operations, customer experience, finance, and supply chain management.

Kellton Tech Solutions Limited has officially released the transcript of its Q3FY26 earnings conference call, held on February 13, 2026, in compliance with SEBI regulations. The company submitted the transcript to stock exchanges on February 17, 2026, under reference number KTSL/2025-2026/085.

Regulatory Compliance and Documentation

The earnings call transcript has been made available pursuant to Regulation 30 and 46 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015. The document was digitally signed by Rahul Jain, Company Secretary and Compliance Officer, and submitted to both BSE Limited and National Stock Exchange of India.

Q3FY26 Financial Performance Highlights

During the earnings call, Chairman and Whole-Time Director Niranjan Chintam presented the company's financial results, showing consistent quarter-over-quarter growth across key metrics.

Nine-Month Performance and AI-Driven Growth

For the nine-month period, the company achieved revenue of ₹905 crores compared to ₹812 crores in the previous year, with EBITDA reaching ₹113 crores versus ₹99.5 crores. The management highlighted significant client wins across multiple sectors, with heavy emphasis on AI-driven solutions and modernization projects.

Strategic Client Acquisitions and Technology Partnerships

CEO Karanjit Singh detailed 11 major client wins during the quarter, including partnerships with global technology giants for cloud-native applications, legacy modernization projects involving four million lines of code conversion, and AI-orchestrated manufacturing workflows for heavy engineering leaders. The company has achieved Microsoft Solution Partner designation across three key areas: Data & AI, Digital & App Innovation, and Azure Infrastructure.

AI Productivity and Operational Efficiency

The management discussed productivity improvements of 20-30% in outcome-based projects through AI implementation, while acknowledging that many clients still restrict AI usage in time-and-material contracts. The company's proprietary KAI platform continues to drive automation in testing, documentation, and development processes.

Market Position and Future Outlook

Addressing concerns about the recent SaaS market volatility, the leadership emphasized that enterprise clients remain committed to established platforms rather than switching to newer AI alternatives. The company expects volume increases to offset efficiency gains, maintaining workforce levels while expanding client base from current 300 customers.