Python / FastAPI
forms the domain or execution core of the solution.
Top technology
AI Agency & AI Engineering
Production-ready AI agents, agentic AI, LLM integration and AI automation for companies and mid-market teams — from use case and architecture to governance, integration and operations. General Informatics covers analysis, target architecture, implementation, integration, quality assurance and production-oriented operations from one accountable partner.
Architecture and stack
The most common technology chain for AI Agency & AI Engineering
Technology is selected according to the problem, operating model and existing landscape—not fashion. The following chain is a frequent and sensible starting point.
Python / FastAPIMCP / A2AOpenAI / Anthropic / GooglePostgreSQL / Vector SearchDocker / CI/CDEvals / Observability
MCP / A2A
provides persistent data, state or integration information reliably.
OpenAI / Anthropic / Google
connects components with the wider system landscape through typed, testable contracts.
PostgreSQL / Vector Search
isolates runtime and dependencies for reproducible deployments.
Docker / CI/CD
handles caching, asynchronous processing or horizontal decoupling.
Evals / Observability
makes releases, observability and secure operation repeatable.
Architecture decisions
- Build versus buy and provider dependencies
- Synchronous request versus asynchronous job
- Tenant separation and data isolation
- Error handling, retries and idempotency
- Scaling, cost and performance budget
- Observability, audit and recovery
Technical quality goals
Clear interfaces, limited coupling, traceable data flows, reproducible environments, automated tests and a documented recovery path. Lighthouse-sensitive frontends use lean assets, server-side metadata and controlled third-party scripts.
Common requests
When this service is a good fit
Typical project needs are explained on the most relevant detail pages, so you can move quickly to the path that fits your technical situation.
GDPR-compliant AIAI governanceAI agent audit trailself-hosted AImulti-agent systems
Project CTA
Get a concrete assessment for AI Agency & AI Engineering
Describe the current system, target, required interfaces and current blockers. General Informatics turns this into a technical first assessment with sensible phases, risks and next steps.