Our Solutions

We deliver five core capabilities across the AI agent lifecycle — from protocol servers to cloud infrastructure.

AI Workflow Automation

We build AI-powered automation pipelines that go beyond simple triggers. Using n8n and custom orchestration, we create workflows where AI agents handle complex decision-making, content generation, and data processing.

  • n8n-based automation with AI decision nodes
  • Content generation and processing pipelines
  • Intelligent notification and triage systems
  • Data extraction and transformation workflows

Multi-Agent Systems

We design and build multi-agent systems using open standards like the Agent2Agent protocol. Our architectures enable AI agents to discover, communicate, and collaborate on complex enterprise workflows.

  • A2A-compliant agent architecture design
  • Agent discovery and orchestration layers
  • Cross-agent communication protocols
  • Workflow decomposition and optimization

Cloud Infrastructure for AI

The cloud infrastructure AI systems need to run reliably at scale. We handle GPU provisioning, Kubernetes orchestration, vector database deployment, and the CI/CD pipelines that keep AI systems shipping safely.

  • GPU cluster provisioning and management
  • Kubernetes for AI workloads and model serving
  • Vector database deployment (Pinecone, Weaviate, Qdrant)
  • CI/CD pipelines for AI model deployment

LLM Ops & Evaluation

We bring DevOps rigor to AI operations. From prompt testing frameworks to model comparison and cost optimization, we ensure your AI systems are reliable, measurable, and cost-effective in production.

  • Prompt engineering and testing frameworks
  • Model comparison and selection guidance
  • Token budgeting and cost optimization
  • Production monitoring for AI systems

MCP Server Development

We build production MCP servers that bridge AI models with your existing data infrastructure. From Prometheus monitoring to Azure Data Explorer, we've shipped MCP servers used by hundreds of teams worldwide.

  • Custom MCP server architecture and development
  • Enterprise data source integration (databases, APIs, monitoring)
  • Production deployment with observability
  • Open-source contributions and community support

Not sure which solution fits? Book a call and we'll figure it out together.