ARCHITECTURE & TOOLS
We select enterprise-grade tools that prioritize determinism, security, and scalability. This is how we assemble solutions that don't just demo well, but operate reliably in production.
We build on battle-tested orchestration engines depending on the required complexity. For deterministic, node-based workflows we use n8n and Zapier. For complex, multi-agent systems requiring stateful reasoning and tool execution, we leverage LangGraph and CrewAI
We deploy the most capable foundation models based on the specific operational requirement. For deep reasoning and coding, we utilize Anthropic Claude 3.5 Sonnet. For broad tool use and high-volume data extraction, we integrate OpenAI GPT-4o
State management is critical for reliable agent execution. We use PostgreSQL and Supabase for structured relational state, Redis for high-speed caching and rate limiting, and Pinecone/Qdrant for vector retrieval over vast knowledge bases
The agent's user interface and integration layer are built on Next.js. We deploy serverless architectures via Vercel for high-availability edges, and containerized Docker environments on AWS or GCP for heavy, long-running backend processes
You cannot improve what you cannot measure. We integrate LangSmith and specialized observability pipelines to track every LLM trace, tool execution, and token cost. This telemetry ensures agents operate within expected parameters and security boundaries
An action-capable agent operating inside a software product with live state, typed tools, scoped identity, and explicit action boundaries
A stateful runtime coordinating agents, business software, validation, approvals, and exception recovery across a complete process
Runtime active
Shared infrastructure for deploying, governing, evaluating, and observing agents across products, teams, and environments
Deploy · govern · evaluate · observe
YOUR SYSTEM