AI Engineering
We engineer secure, scalable AI systems end to end, from model-enabled applications to production operations.
LLM Application Development
What We Build
- RAG systems
- Enterprise search
- Copilots
- Knowledge assistants
AI Agents
Agent Capabilities
- Task-focused AI agents for operations, analytics, and support
- Tool-using agents connected to APIs, databases, and business systems
- Multi-agent orchestration for complex workflows and handoffs
- Guardrails, role boundaries, and policy controls
- Reliable execution with fallbacks and error-handling strategies
AI Agent Workflows
Workflow Engineering
- Human-in-the-loop approvals for high-impact decisions
- End-to-end workflow orchestration across teams and systems
- Prompt and workflow version management
- Evaluation pipelines for quality, latency, and cost
- Monitoring, tracing, and continuous reliability improvement
MLOps / LLMOps
Operational Excellence
- CI/CD for models
- Versioning
- Evaluation pipelines
- Monitoring and drift detection
- Prompt/version management
AI Platform Engineering
Platform Capabilities
- Vector databases
- Model gateways
- Orchestration
- API services
- Batch and real-time inference
Cloud AI Deployment
Production Infrastructure
- Azure / AWS architecture
- Containerization
- Kubernetes
- Serverless inference
- Security and compliance
Healthcare AI Systems
Domain-Specific Delivery
- Clinical NLP
- Real-world data pipelines
- Evidence generation
- Omics and bioinformatics AI workflows