Enterprise
Generative AI
From architectural blueprints to autonomous agents. We provide the complete engineering stack to build, secure, and scale LLM applications.
Start Your GenAI JourneyDesign & Strategy
Align architecture with business needs. Analyze requirements, validate with PoCs, and define standardized blueprints.
Model Strategy
Select and configure Foundation Models. Implement dynamic routing, resiliency patterns, and lifecycle management.
RAG & Data Pipelines
The engine room of GenAI. Advanced ingestion, semantic chunking, vector storage, and high-precision retrieval mechanisms.
Autonomous Agents
Beyond simple chat. Multi-agent orchestration, ReAct patterns, and tool use (MCP) for complex task execution.
Evaluation & Trust
Verify before you trust. Comprehensive assessment frameworks (RAGAS), human-in-the-loop validation (RLHF), and continuous regression testing.
Troubleshooting
Production diagnostic tools. Debug context overflows, fix retrieval drift, and resolve API integration failures in real-time.