Modern data platforms, real-time analytics, business intelligence, and agentic AI solutions that turn data into decisions
Full-spectrum data and AI services from platform engineering to intelligent automation
We build modern data platforms using the lakehouse paradigm, unifying data lakes and data warehouses into a single architecture. Our implementations on Azure Synapse, Databricks, and Snowflake provide schema-on-read flexibility with the governance and performance of traditional warehousing.
We design interactive Power BI dashboards and self-service analytics environments that give business users real-time visibility into KPIs, trends, and operational metrics. Our semantic models and row-level security ensure the right data reaches the right stakeholders with governed access.
Our data engineers build event-driven streaming architectures using Apache Kafka, Azure Event Hubs, and Spark Structured Streaming. These pipelines ingest, transform, and serve data with sub-second latency for use cases like fraud detection, IoT telemetry, and live operational dashboards.
We develop, train, and deploy machine learning models for demand forecasting, customer churn prediction, anomaly detection, and recommendation engines. Our MLOps practices ensure models are versioned, monitored, and retrained automatically as data patterns evolve over time.
We build agentic AI systems that leverage large language models to autonomously reason, plan, and execute multi-step workflows. Our integrations with OpenAI GPT-4, Azure OpenAI Service, and open-source LLMs power intelligent document processing, conversational analytics, and automated decision support.
We implement comprehensive data governance frameworks using Microsoft Purview and custom data quality engines. Our approach covers data cataloguing, lineage tracking, quality scoring, and compliance automation to ensure your data assets are trustworthy, discoverable, and regulation-ready.
Best-in-class data and AI platforms we deploy and integrate
A data-driven approach that ensures measurable impact at every phase
We catalogue your existing data sources, assess quality and completeness, and identify high-value use cases through stakeholder workshops and data profiling exercises.
Architecture blueprints for your data platform including ingestion patterns, transformation layers, storage tiers, and consumption interfaces tailored to your scale and compliance requirements.
Agile delivery of data pipelines, models, and dashboards in two-week sprints. Each iteration produces a working increment that stakeholders can validate and provide feedback on.
Production hardening with automated monitoring, data quality checks, and governance policies. Knowledge transfer ensures your team can maintain and extend the platform independently.
Our data engineers and AI specialists are ready to help you build platforms that deliver real business intelligence.
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