Practical AI capabilities for existing applications and workflows. Have a different AI use case? We can discuss whether it’s a fit.

• ▸

  AI Proof of Concept Development

  Small prototypes to test whether an AI idea is useful and feasible

• ▸

  AI Application Integration

  Add AI features like summarization, classification, and data extraction to existing applications

• ▸

  AI Workflow Automation

  Automate repetitive manual steps, with human review where it matters

• ▸

  AI-Powered Knowledge Search

  Plain-language answers from your internal documents and databases

Streamline business processes and reduce manual work through practical automation, so your team spends less time on repetitive tasks and more time on higher-value work.

• ▸ Process review to find improvement opportunities
• ▸ Workflow automation for repetitive tasks
• ▸ Reducing manual data entry
• ▸ Connecting the tools and systems your team already uses
• ▸ Building internal tools that simplify day-to-day work

New .NET application development and modernization of existing systems, with a focus on maintainability, performance, and reliability.

• ▸ Application architecture and development
• ▸ Codebase analysis and refactoring
• ▸ Incremental modernization strategies
• ▸ .NET upgrades and migrations
• ▸ Testing and quality improvements

Design, modernization, and troubleshooting of data pipelines and integrations that move and transform data reliably across databases, APIs, cloud services, and enterprise systems, built primarily with Python and .NET.

• ▸ Data pipeline assessment and modernization
• ▸ ETL and data transformation workflows
• ▸ API and system integrations
• ▸ Performance, reliability, and monitoring improvements
• ▸ Cloud-based data processing and automation