Kellton Tech Solutions Ltd Share Price – NSE  / BSE

IT - Software, Small Cap

Net profit of Kellton Tech Solutions rose 1.67% to Rs 19.52 crore in the quarter ended March 2026 as against Rs 19.20 crore during the previous quarter ended March 2025. Sales rose 9.63% to Rs 313.89 crore in the quarter ended March 2026 as against Rs 286.33 crore during the previous quarter ended March 2025.

For the full year,net profit rose 14.98% to Rs 91.66 crore in the year ended March 2026 as against Rs 79.72 crore during the previous year ended March 2025. Sales rose 10.85% to Rs 1216.94 crore in the year ended March 2026 as against Rs 1097.82 crore during the previous year ended March 2025.

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Kellton Tech Solutions will hold a meeting of the Board of Directors of the Company on 30 May 2026.

The company said the platform helps businesses convert unstructured data into AI-ready intelligence at scale.

Structi.ai is designed to process documents, images, audio files and other fragmented enterprise content. The company said traditional systems often struggle to process such data effectively.

The platform combines generative AI, agentic AI, metadata enrichment and decision orchestration capabilities. It converts raw enterprise data into structured and contextual intelligence for automation, workflows and real-time decision-making.

According to Kellton, Structi.ai currently processes more than 10 million data assets daily. It supports over 50 data formats. The company said the platform delivers turnaround times of under two seconds with an internal benchmark accuracy rate of 99.9%.

The platform operates through multiple layers including intelligent ingestion, AI-led extraction and analysis, metadata mapping and data quality validation.

Kellton said the platform also uses AI-augmented domain validation capabilities. These apply industry-specific rules and contextual analysis to improve data quality before integration into downstream systems.

The company said the platform is relevant for sectors such as banking, insurance, healthcare and manufacturing.

Structi.ai was initially developed as an internal enterprise AI accelerator. It has now been commercialised as a scalable enterprise platform.

Pavan Yerra, chief data and AI officer at Kellton Tech Solutions, said the platform is aimed at helping enterprises make unstructured data accessible for AI systems and business workflows.

The company said future enhancements will focus on conversational intelligence capabilities. These features will allow users to access enterprise insights through natural language interactions.

Kellton is an AI-led digital transformation and technology consulting company with global delivery capabilities. The company partners with enterprises to build scalable digital platforms, modernize operations, and accelerate intelligent automation journeys.

On a consolidated basis, net profit of Kellton Tech Solutions rose 21.46% to Rs 25.41 crore while net sales rose 10.41% to Rs 307.89 crore in Q3 December 2025 over Q3 December 2024.

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Kellton Tech Solutions announced the commercial launch of Structi.ai, a next generation AI context engine designed to help enterprises transform unstructured data into contextual, AI-ready intelligence at scale.

Built to support organizations accelerating enterprise AI adoption, Structi.ai enables businesses to unlock value from documents, images, audio files, and other fragmented enterprise content that traditional systems and AI workflows often struggle to process effectively.

The platform combines GenAI, Agentic AI, metadata enrichment, and decision orchestration capabilities to convert raw enterprise data into structured, contextual intelligence that powers automation, operational workflows, downstream AI models, and real-time business decision-making. According to Kellton, Structi.ai currently processes more than 10 million data assets daily, supports over 50 data formats, and delivers average turnaround times of under two seconds with an internal benchmark accuracy rate of 99.9%.

Structi.ai operates through a multi-layered architecture spanning intelligent ingestion, AI-led extraction and analysis, metadata and relationship mapping, AI-augmented domain-based data quality validation, and a decisioning layer that enables conversational querying and workflow integration.

Kellton stated that future enhancements to Structi.ai will further expand conversational intelligence capabilities, enabling business users to access enriched enterprise insights through natural language interactions with minimal technical intervention.