Build the Data Foundation Your Business Deserves
Your data is only as powerful as the infrastructure behind it. At Heliosz.AI, we design and implement robust, scalable, and AI-ready data engineering solutions that turn raw, fragmented data into connected, real-time assets.
Automated ETL/ELT workflows across diverse sources.
Efficient data pipelines enable seamless, scalable movement from source to system. We build automated workflows, batch and real-time, that support ETL/ELT across cloud, on-prem, and IoT environments. Our solutions ensure clean, timely data delivery for analytics, machine learning, and BI, driving reliable insights and operational efficiency.
Extract, transform, and load data efficiently to support analytics and AI applications.
Collect and unify data from APIs, databases, IoT devices, and cloud storage.
Implement Apache Airflow, AWS Step Functions, or Prefect to automate and monitor pipeline execution.
Ensure data consistency with logging, retry mechanisms, and observability tools like Datadog and Prometheus.
Cloud-native & hybrid environments for high-volume workloads.
We build scalable, cloud-native or hybrid infrastructures to manage large volumes of structured and unstructured data. Optimized for storage, compute, and processing, our solutions support high-throughput workloads, complex transformations, and AI initiatives, ensuring secure, cost-effective, and future-proof environments for data lakes, distributed systems, and stream-processing architectures.
Implement Apache Spark, Hadoop, and Kubernetes for parallel data processing at scale.
Optimize cost and performance across AWS (S3, EMR), Azure (Data Lake, Synapse), and GCP (BigQuery, Dataproc).
Enable a unified data architecture with technologies like Delta Lake, Iceberg, and Snowflake.
Ensure zero downtime with replication, load balancing, and resilient storage mechanisms.
Optimized schemas & BI-ready structures.
We turn raw data into structured insight through logical, physical, and semantic modeling tailored to your business. Our warehousing solutions, built on Snowflake, Redshift, BigQuery, and Synapse, ensure scalable storage, fast access, and optimized performance. With efficient schema design and query tuning, we enable deep, reliable business intelligence.
Implement Star Schema, Snowflake Schema, and Fact-Dimension modeling for optimized analytics.
Work with industry-leading platforms like Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse.
Enhance performance using materialized views, columnar storage, and query caching.
Maintain metadata catalogs, access controls, and compliance auditing for full transparency.
Event-driven architectures for instant insights.
Real-time data is essential for instant decisions and digital responsiveness. We build low-latency, high-throughput architectures using Kafka, Spark Streaming, and cloud-native tools to process live data streams. From fraud detection to personalization, our solutions deliver immediate insights and timely action across critical business functions.
Utilize Apache Kafka, Apache Flink, and AWS Kinesis for real-time event processing.
Implement pub-sub architectures with RabbitMQ, Pulsar, and Google Pub/Sub.
Enable real-time alerts and actions using AWS Lambda, Azure Functions, and Google Cloud Functions.
Deploy AI models at the edge with Apache NiFi and Azure IoT Hub.
Encryption, RBAC, and GDPR/HIPAA-aligned governance.
Security and compliance are built into every solution we deliver. With encryption, access control, masking, and audit logging, we protect data integrity and privacy. Our frameworks align with GDPR, HIPAA, SOC 2, and CCPA—ensuring scalable governance and responsible data management without compromising performance or agility.
Implement encryption standards like AES-256, TLS 1.3, and homomorphic encryption.
Enforce RBAC (Role-Based Access Control) and IAM policies for data protection.
Adhere to GDPR, HIPAA, SOC 2, and PCI-DSS standards.
Track data access and anomalies using SIEM tools like Splunk and AWS GuardDuty.
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LogisticsNew Revenue$10 MillionConfluent Cloud’s real-time data integration -
IT TechnologyCost Reduction48.3%Projected annual operating cost -
LogisticsEfficiency Enhancement40%Overall operational efficiency improvement -
LogisticsData ProcessingUnder 1 MinuteWith a custom cloud-based TMS -
RetailCost Reduction40%Utilization of Confluent’s Cloud -
TransportationCost Reduction20%Infrastructure cost cutting with Confluent -
ManufacturingCost Savings35%Reduced Kafka operational costs
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Multimodal AI
9 Min Read
Artificial intelligence has forever been linked to text generation and processing—chatbots, search, and recommend systems all rely heavily on natural language processing (NLP). But the future of AI is not entirely about words. With multimodal AI gaining traction, machines are gaining the capacity to understand and interact with the world in the same way that humans do through a rich combination of text, images, audio, and video. Multimodal AI represents a paradigm shift in the way computers ingest and respond to input, bringing us toward the dawn of genuinely intelligent machines that can recognize the context, tone, and nuance of real-world information.
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AI Agents
6 Min Read
The product development world is being totally transformed. Businesses are looking to artificial intelligence (AI) agents to automate, optimize, and revolutionize product design, engineering, and manufacturing in response to calls for mass customization, accelerated innovation, and sustainability. Besides assisting human engineers, these agents, driven by machine learning, natural language processing, and advanced simulation, are working alongside them to develop product development cycles that are smarter, faster, and more responsive.
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AI Agents
5 Min Read
Generative AI has revolutionized many sectors over the past few years, with retail being among the most important sectors that can gain from its innovations. Through the use of machine learning and neural networks, generative AI can generate content, designs, solutions, and predictions that provide both efficiency and personalization. For retail, these features create new opportunities for businesses to improve their operations, customer experiences, and overall strategy.