Consulting & Engineering Services

Rylos Data Solutions provides hands-on architecture, engineering, and technical leadership across data, AI, and enterprise software systems.

From modernizing data platforms and optimizing complex environments to designing enterprise AI solutions and building production-ready applications, Rylos combines strategic thinking with deep technical execution.

Engagements range from architectural advisory and technical leadership to hands-on design, development, and implementation.

1. Enterprise AI Architecture & Engineering

  • Generative AI and LLM application architecture

  • Retrieval-augmented generation (RAG) and enterprise knowledge integration

  • AI agents and governed agentic workflows

  • Enterprise semantic modeling, knowledge architecture, and context engineering

  • Enterprise AI integration and orchestration

  • AI security, governance, and operational controls

2. Software & Platform Engineering

  • Enterprise application and platform architecture

  • API design and systems integration

  • Backend services and distributed systems

  • Multi-tenant architecture

  • Cloud-native application development

  • Product prototyping and engineering

3. Data Architecture & Strategy

  • Design scalable, secure, and high-performance database schemas (OLTP & OLAP)

  • Build cross-platform data models (PostgreSQL, Oracle, MS SQL, MongoDB etc.)

  • Plan and execute data governance and retention strategies

4. Cloud Data Engineering

  • Migrate legacy databases to cloud-native platforms (BigQuery, Cloud SQL, Aurora, Snowflake)

  • Develop ETL/ELT pipelines for real-time and batch ingestion

  • Integrate structured and unstructured data from diverse sources (APIs, S3, GCS, etc.)

5. Machine Learning & Advanced Analytics

  • Design, train, and deploy predictive models for churn, revenue, and behavior

  • Integrate ML outputs into operational workflows

  • Build geolocation-aware services and recommendation systems

6. Performance Optimization

  • Diagnose and fix slow-performing queries and jobs

  • Implement partitioning, indexing, and memory-efficient designs

  • Deliver sub-second response systems for high-concurrency workloads

7. Custom Data Solutions

  • Build and automate custom replication, auditing, and change capture tools

  • Architect data lakes, warehouses, and customer data platforms (CDPs)

  • Design extensible frameworks for multi-tenant or multi-RDBMS environments

Let’s build something that works.

From data architecture to enterprise AI and custom software, let’s discuss how Rylos can help turn your technical challenges into practical solutions.

Contact Rylos