AI Agent Design & Deployment
We design autonomous agents that handle your most repetitive workflows — anomaly detection, report generation, data validation — and deploy them into your production environment.
- Workflow analysis and agent scoping
- MCP server configuration (DB, API, file system)
- Claude, OpenAI, or Ollama integration
- Monitoring and alerting setup
RAG Pipelines & Vector Databases
Stop hallucinations. We connect your AI agents to accurate, up-to-date context from your own data sources using RAG pipelines and semantic search.
- Embedding generation and vector store setup
- Chunking and retrieval strategy
- Hybrid search (semantic + keyword)
- Data freshness and re-indexing pipelines
High-Performance Data Engineering
Scalable pipelines that ingest billions of records — from real-time streaming to batch ETL — keeping your data infrastructure always ready to feed your AI systems.
- Batch and streaming ETL design
- dbt models and data transformation
- Lakehouse architecture (Iceberg, Delta, Hudi)
- Data quality frameworks for AI pipelines
AI Strategy & Architecture Consulting
Not sure where to start? We map your current data infrastructure to the highest-ROI agentic opportunities and give you a concrete roadmap to ship in weeks.
- Data and workflow audit
- Agentic opportunity mapping
- Build vs. buy analysis
- Implementation roadmap
Book a 30-Minute Strategy Session
We'll map your most repetitive workflows to an agentic solution you can ship in weeks. No sales pitch — just a focused technical conversation.