Technology consulting since 2007

Reliable databases, modern data platforms and AI-ready infrastructure

AVRIN Software Services helps organizations run, secure and modernize SQL Server, PostgreSQL and MySQL, build data pipelines and analytics, move workloads to the cloud, and prepare their data for generative AI - with experienced consultants who stay accountable from assessment to operations.

  • SQL Server, PostgreSQL & MySQL
  • AWS, Azure & Google Cloud
  • Managed DBA & project delivery

Executive summary

Experienced consultants for mission-critical data systems

With 19+ years of IT consulting experience since 2007, AVRIN Software Services provides comprehensive database maintenance, database administration (DBA), security and high-availability services for organizations that cannot afford downtime or data loss.

Our approach focuses on availability, performance, security and reliability. Every engagement starts with a clear picture of your current environment - versions, workloads, recovery objectives and risks - and ends with documented, repeatable operations that your team can rely on.

Services are delivered using industry best practices with a focus on system stability, performance optimization, security, scalability and business continuity. Engagements can be scaled or adjusted as business needs and strategic objectives evolve.

About AVRIN
Enterprise database servers in a modern data center

How we engage

Managed operations, one-time projects and development

Choose ongoing support, a defined project, or a combination - the same consultants and standards apply to each.

Ongoing managed DBA operations

  • Proactive DBA operations with daily, weekly, monthly, quarterly and yearly maintenance
  • Enterprise-grade security and encryption for data at rest and in transit
  • Always On high availability architecture to remove single points of failure
  • SLA-backed operations with availability targets of up to 99.99%, defined per engagement
Managed DBA services

One-time implementation services

  • Migration of SQL Server environments from on-premises infrastructure to cloud platforms
  • Design and implementation of high availability and data replication solutions
  • Server-level and database-level encryption aligned with security best practices
  • Version upgrades, consolidation and health assessments
Migration & modernization

Development & application services

  • Custom development and enhancement of existing applications
  • Web application design and development on ASP.NET
  • Reporting and analytics portal development
  • API and AI service integration with your databases
Application development

AI & modern data

Generative AI is only as good as the data behind it

Large language models become useful in the enterprise when they can safely use your own data - contracts, tickets, product catalogs, transactions. That depends on the same disciplines we have practised for years: clean and governed data, reliable pipelines, well-tuned databases and strict access control.

We help teams build the data foundation for AI: consolidating sources into a lakehouse or warehouse, creating embeddings and vector indexes in platforms such as PostgreSQL with pgvector or SQL Server 2025, implementing retrieval-augmented generation (RAG) with services such as Azure OpenAI or Amazon Bedrock, and sizing the compute, GPU, storage and network capacity these workloads need.

  • AI readiness assessments and data governance
  • RAG pipelines, vector databases and semantic search
  • Secure AI API integration for .NET applications
AI & data services
AI accelerator hardware with data flowing into a vector embedding network

Delivery approach

A proven, low-risk way of working

Every engagement follows the same disciplined steps, whether it is a health check, a migration or a new data platform.

  1. Assess

    Inventory servers, databases, workloads, dependencies and risks. Agree on measurable goals such as RPO, RTO, performance targets and budget.

  2. Design

    Define the target architecture, security model and migration or implementation plan, including testing, cutover and rollback steps.

  3. Implement

    Build and automate in controlled stages with change management, validation checkpoints and knowledge transfer to your team.

  4. Operate & optimize

    Monitor, tune and report on the platform, and keep improving performance, cost and resilience over time.

Technology expertise

Platforms we work with every day

  • SQL Server 2016 - 2025
  • Azure SQL
  • PostgreSQL
  • Amazon Aurora PostgreSQL
  • Amazon RDS
  • MySQL
  • Oracle
  • SSIS
  • Azure Data Factory
  • AWS DMS
  • Talend
  • Snowflake
  • Databricks
  • Power BI
  • SSRS
  • AWS
  • Microsoft Azure
  • Google Cloud
  • ASP.NET & ASP.NET Core
  • C#
  • Azure OpenAI
  • Amazon Bedrock
  • pgvector
  • SharePoint

Ready to modernize your data platform?

Whether you need a DBA today, a migration plan or an AI-ready data strategy, we can help you take the next step.