Architecture
The system on one page before anyone writes code: scope, models, where it runs, and a build plan your team can follow.
Agents that
survive
production.
Demos are easy. We design and build the parts that aren’t: retrieval, orchestration, guardrails, and cost control, for teams who have to pass a compliance review and explain the bill.
The parts that aren’t in the demo.
Orchestration
For work one agent can’t do alone: who does what, who hands off to whom, and what happens when one of them fails.
Data & retrieval
An agent is only as good as what it can find. We build the path from your documents and your data to the model: ingestion, search, and analytics an agent can query.
Security
What each agent is allowed to do, written down as policy: roles, permissions, and limits on tools and data. Then tested against prompt injection and the OWASP LLM Top 10, not assumed.
Cost
Model routing, caching, and token budgets, so the bill is a number you chose.
Your stack, our patterns.
No favourite framework. We work in what you already run, or build from scratch with the one that fits.
- LangGraph
- Pydantic AI
- AWS Bedrock
- LangChain
- Azure AI Foundry
- Anthropic
- CrewAI
- Vertex AI
- OpenAI
- Qdrant
- AutoGen
- Pinecone
- Weaviate
- Redis
- Chroma
If it can’t be explained in one diagram, it’s not done.
Every system we ship has trace-level logging, per-invocation cost tracking, and guardrails tested against the OWASP LLM Top 10.
Tell us what you’re building.
Or write to contact@initmode.ai, or find us on LinkedIn.