A machine-assisted source code conversion platform that automates transformation between technologies like Oracle, Snowflake, and PySpark. It enables up to 80% bulk code conversion within minutes, accelerating modernization.

A scalable data ingestion accelerator that automates batch, streaming, and CDC pipelines across modern data architectures. It delivers faster real-time data processing and improved reliability with prebuilt templates and audit reports.

An AI-driven data quality accelerator that detects anomalies, classifies issues, and recommends fixes across diverse data sources. It enhances data trust by improving visibility and reducing data quality issues by up to 30%.

AI-powered tool for smart database discovery, schema exploration, ERD visualization, query performance analysis and conversational insights.

Accelerates end-to-end schema and data migration across databases with automated mapping, conversion, and visual comparison capabilities. It ensures up to 40% faster time-to-market and zero production delays with seamless cloud migration.

AI enabled data governance platform with features like data discoverability, observability, lineage, governance dashboard and metadata management.

A metadata-driven BI rationalization tool that automates dashboard consolidation and SQL parsing through microservices. It reduces report maintenance costs by up to 50% and boosts quality through intelligent report elimination and aging analysis.

Multi-agentic AI Powered Autonomous system for supporting Data Pipelines that enables L1, L1.5 and L2 break fixes, round-the-clock monitoring, self-healing, instant alerting resulting in speedy issues resolution.

An AI/ML-driven data classification platform that automates metadata tagging and sensitivity labeling across datasets. It reduces manual effort by up to 70% through intelligent pattern recognition and Human-in-the-Loop validation, enhancing governance and compliance.

An AI-powered validation framework that automatically checks files for anomalies such as schema drift, file pattern mismatches, and data spikes before ingestion. It ensures seamless, error-free pipeline operations with up to 90% reduction in ingestion failures.

An intelligent Audit, Balance & Control (ABC) framework that provides end-to-end tracking of data pipelines by capturing audit information at every layer and storing it centrally. It balances audit metrics, identifies record mismatches, and enhances pipeline reliability with robust restart ability and recovery from job failures.

LLM based accelerator to generate synthetic test data for the lower or new environments to enable robust testing for the developers and testers without considering production data for the testing needs, ensuring compliance with up to 100% data accuracy.

AI driven Log Analysis tool that detects performance and security issues across IT systems, offering actionable insights for optimization & system security. It analyzes user patterns & response times to identify bottlenecks, optimize application usage, & enhance IT system reliability by up to 40%.

An intelligent Ticket Analysis tool that examines ticket data to identify peak trends, recurring issues, & root causes. It categorizes incidents by application, highlights repetitive problems, and suggests preventive measures, reducing recurring issues by up to 35% and improving overall support efficiency.

An AI Powered Backlog Analysis tool that transforms user stories & epics into a clear, insight-driven product roadmap. It enables effective talent planning, sourcing, & reskilling by aligning backlog priorities with delivery goals, enhancing productivity and accelerating product delivery by up to 30%.

An intelligent LLM Routing system that dynamically selects the optimal large language model for each query based on complexity, performance, and cost. It maximizes efficiency, ensures faster responses, and reduces overall operational costs by up to 40%.

An AI driven Document Analysis tool that generates tailored documents from repositories using user-defined prompts. It leverages prompt engineering to create playbooks, runbooks, & responses from multiple templates, streamlining documentation workflows & improving content generation efficiency by up to 50%.

An AI-enabled Knowledge Transfer framework that ensures smooth and seamless project transitions. Its multi-phased intelligent transition approach minimizes risks, accelerates knowledge capture, and guarantees continuity with up to 40% faster stabilization post-transition.

Intelligent Data Integration Framework that streamlines ingestion and transformation across diverse sources and targets. It ensures end-to-end data flow visibility, schema consistency, & error handling, while enabling faster onboarding of new pipelines & improving data reliability by up to 45%.

Robust Data Governance Framework that establishes centralized control over data assets through standardized policies, lineage tracking, & access management. It ensures compliance, enhances data transparency, & improves data trustworthiness by up to 50% across the enterprise.

An AI-powered solution that automates testing, BI report validation, and performance benchmarking across platforms. It enhances accuracy, compliance, & efficiency throughout the data lifecycle, achieving up to 70% reduction in repetitive efforts, 25% higher efficiency, & improved test coverage.

An intelligent DQ Framework that defines & enforces data quality rules. The framework establishes predefined data checks, anomaly detection, and recommends corrective actions through actionable reports, strengthening source data accuracy and improving overall data trust by up to 40%.

An intelligent Code Analysis tool that generates easy-to-understand, maintainable documentation while evaluating code quality. It identifies structural, readability, & performance issues, highlights security vulnerabilities and best practice violations, improving code reliability and maintainability by up to 45%.

A GenAI-powered Product Querier that enables intelligent search & retrieval from vast document repositories. It leverages vector databases, autonomous agents, and smart querying through chatbot interfaces and API integrations, accelerating knowledge discovery and improving information accessibility by up to 60%.

An automated Data Ingestion Framework that seamlessly ingests data from diverse sources into the staging layer. It leverages metadata collection and schema registry for efficient onboarding, enhancing scalability, consistency, and reducing manual effort by up to 50%.

and many more...