Building Trust Through Responsible AI Solutions

Embracing new technologies is our passion at KASADARA, and we are enthusiastic about spearheading new artificial intelligence advancements. In our firm, intelligent business transformation powered by Data & AI evolves through the delivery of value-driven AI solutions – the most sophisticated products offered in the market today.
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    Our Specialization in AI - Engineering and Application

    Mastering Microsoft Copilot

    We are leading in the implementation of Microsoft Copilot, which allows businesses to unlock levels of productivity and innovation never before experienced. Because of our vast know-how, we guarantee the effortless implementation of AI assistants throughout the entire company, which changes the way divisions work together, innovate, and tackle daunting problems.

    Proprietary AI Accelerators

    Our culture encourages polices aimed at empowering creativity and leading change, thus the creation of our accelerators. These proprietary AI accelerators ease the adoption of artificial intelligence through ready-to-use solutions designed for specific business functions. By enhancing development, shortening go-live periods, and creating quantifiable results, these solutions have a major impact.

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    Responsible AI at the Forefront

    GenAI Thought Leadership

    AI Active provides one of the deepest domain understanding in the industry when it comes to generative AI solutions. From conversational AI agents to content generation, our Senior Machine Learning Engineers and AI specialists ensure businesses never fall behind in the AI race. We do not just execute AI solutions, we deploy systems that think, learn, and evolve with your business.

    Cloud-Agnostic AI Infrastructure

    The same way, KASADARA stands out with its rich experience in providing tailored AI solutions on leading cloud services like Microsoft Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS). This approach guarantees the greatest possible degree of flexibility, scalability, and effectiveness for your AI undertakings. Understanding multi cloud ecosystems allows us to develop AI strategies that not only achieve high performance, but also seamlessly integrate with your technology environment.

    Why KASADARA for AI Transformation?

    Our Pledge Towards AI Ethics and Effectiveness:

    KASADARA is committed to maintaining a strong concern for AI technology and aims to aid our clients in developing AI solutions that are both impactful and efficient at the same time.

    Our Commitment To Ensure Your Success:

    AI should not only be flexible but also sensible and compatible with your business goals. KASADARA assures all-encompassing support throughout your AI journey, from the preliminary strategic designing and implementation phases to perpetual optimization and maintenance.

    Are You Ready To Redefine The Possible?

    Experience the transforming power of AI with KASADARA. Let’s talk today about what intelligent technology can do for your business strategies.

    Technology Focused company solving customer problem

    Data Migration and Data Modernisation

    • Migrate to any cloud
    • AWS
    • GCP
    • Azure
    • Databricks

    Data Transformation

    • Data Cleansing
    • Data Auditing
    • Data preparation
    • Data Lineage

    Data lake processing
    with real-time streaming
    (Flink, Spark, Beam, Iceberg)

    Predictive Analytics

    • Predict the future from your current data
    • Forecast models
    • NLP Data processing

    AI

    • GenAl Model Development on top of your data
    • Intelligent Bot on your data
    • Responsible Al

    Enterprice Data Platform Evolution

    Data value realization accelerates along this journey

    Stage 1

    Data Warehouse

    Structured data is ingested and managed.Focus on Data Lakehouse building a Data model (Schema at Write)

    Stage 2

    Data Lakehouse

    Semi-Structure and Unstructured data into your Analytics pipeline. Focus on data ingestion first and modeling later (Schema on Read)

    Stage 3

    Data Analytics

    Streaming data source (e.g. Click Stream data, social streams,). Focus shifts towards time to insight (near real time scenarios)

    Stage 4

    Data Fabric

    Centralize governance for data access, policies, metadata, MDM, virtualization, and APIs for consistent and efficient data management.

    Stage 5

    Data Mesh

    Empower domain teams with decentralized data ownership, data as a product, and a self-service data platform to enhance data and analytics ownership.