Data and Analytics Services

Uncover valuable insights by tapping into data you didn’t even know you had

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The ability to effectively gather, analyze, and interpret data can provide invaluable insights into customer behavior, market trends, operational efficiencies, and potential growth areas. Our expertise in advanced analytics techniques, such as predictive modeling and machine learning, enables businesses to anticipate market shifts and customer needs. We also specialize in data visualization, transforming complex datasets into clear, actionable insights. By leveraging our services, businesses can not only make data-backed strategic decisions but also identify new opportunities for innovation and growth. Our approach ensures that you are not just collecting data, but effectively using it to drive your business forward.

Business Value Delivered

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  • Improved decision making
  • Faster time-to-market
  • Competitive advantage and innovation
  • Risk mitigation

Our Data and Analytics Capabilities

gen AI data and analytics
NLP and Conversational AI
Data Science & Analytics services
RPA (Robotic Process Automation)

Generative AI

From GPT-4 to Llama and PaLM-2, we integrate cutting-edge models to automate workflows, enhance productivity, and pioneer new possibilities.

NLP and Conversational AI

We craft intelligent applications that understand and respond to human language, revolutionizing user experiences.

Data Science & Analytics

Our expert analysts extract, process, and analyze information to unveil hidden patterns. Our solutions provide actionable recommendations for informed decision-making.

RPA (Robotic Process Automation)

Our expertise in RPA helps organizations optimize workflows, reduce manual efforts, and enhance operational efficiency.

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In your line of work, we know every minute matters.

    Tx Differentiators

    QA Domain Expertise
    Expertise

    Our team possesses deep expertise in diverse machine learning techniques, ensuring adaptability to varied business applications.

    Innovation Based Approach
    Innovation

    We stay at the forefront of technological advancements, integrating the latest tools and methodologies to deliver innovative solutions.

    Proven track record
    Tailored Approach

    We understand that one size does not fit all. Tx adopts a tailored approach to address the unique challenges and objectives of each client.

    Recent Insights

    August 19, 2025

    BLOG

    From Bottlenecks to Breakthroughs – AI’s Role in Insurance Process Automation

    Uncover how AI transforms insurance automation, cutting claim times, boosting accuracy, and driving ROI with faster, smarter, compliant processes.

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    August 18, 2025

    BLOG

    From Pilots to Production: Building AI Architectures That Scale

    Most AI pilots stall after early wins, not because of weak models, but fragile architecture. This blog explores how scalable AI design, cloud and edge integration, and proven principles turn experiments into enterprise-ready systems, driving faster deployment, cost efficiency, and reliable performance across business units.

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    August 12, 2025

    BLOG

    Ignoring QA-as-a-Service? Here’s the Unseen Threat to Your Scalable Agile Success

    Scaling Agile without continuous quality is a recipe for defects, delays, and rising costs. This guide explains how QA-as-a-Service embeds testing into every sprint, eliminates hidden bottlenecks, and delivers high-quality software at scale.

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    August 11, 2025

    BLOG

    The High Stakes of Cloud Migration: How AI Test Data Can Make or Break Your Strategy

    Cloud migration lives or dies by test data. AI-generated and masked datasets speed setup, expand coverage, and cut errors, keeping projects on time and compliant. This blog explains common migration bottlenecks, how AI overcomes them, how to build a scalable test data strategy across microservices and CI/CD, and the metrics that prove value.

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    August 5, 2025

    BLOG

    Break Free from Legacy Bottlenecks – How Synthetic Test Data Fuels Agile Innovation

    In Agile software development, the demand for high-quality test data is crucial, but traditional production data often leads to bottlenecks due to privacy and compliance concerns. Synthetic test data, generated by AI, offers a secure, flexible alternative by mimicking real data without exposing sensitive information. It speeds up testing, improves coverage, and uncovers edge cases missed by traditional data. With synthetic data, teams can quickly generate tailored datasets for each test scenario, reducing waiting times and improving efficiency. Embracing synthetic test data helps businesses accelerate delivery, enhance product quality, and innovate faster.

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