Workload first
Start with what the system needs to do and how it must operate before choosing the platform.
Technology & architecture
Architecture is a set of decisions, not a stack of logos.
Tools are selected around reliability, privacy, latency, cost, existing skills and the ability to support the system over time.
Review an architecture ↗Replaceable boundaries
Keep services, models and vendors behind clear interfaces where flexibility has real value.
Operable in reality
A clever architecture is not useful if the business cannot monitor, recover or support it.
AI & language
OpenAI and managed model APIs
Open-weight Qwen and Llama models
Retrieval and vector search
Evaluation, orchestration and tool use
Platforms
Python and FastAPI
Server-rendered and modern web interfaces
REST APIs and integrations
Background workers and event workflows
Data & spatial
PostgreSQL and PostGIS
Redis and caching
Structured document pipelines
Geospatial analysis and mapping
Infrastructure
Linux and Docker
Cloud, dedicated and hybrid deployment
NVIDIA GPU inference
Backups, observability and CI/CD
Voice & communications
Twilio programmable voice
Streaming speech pipelines
CRM and scheduling integration
Human hand-off and audit trails
Edge
NVIDIA Jetson
Computer vision pipelines
Local inference
Remote fleet updates and monitoring
The practical position
Cloud when it earns its place. Local when control matters. Edge when distance matters.
Caerus is not anti-cloud and not committed to one stack. The objective is a reliable, supportable and commercially sensible system.
Cloud & infrastructure service ↗