Service
AI & Automation
Didur Labs builds private AI, workflow automation, intelligent agents, computer vision, and software integrations that turn disconnected systems into useful tools. The emphasis is on practical automation that runs where you control it—not features bolted onto someone else’s cloud.
Capabilities
What we do
- AI agent design and orchestration
- Private and self-hosted LLM deployments
- Retrieval and knowledge-base integration
- MCP server and tool integrations
- Workflow and process automation
- Natural-language interfaces and control
- Computer vision and image analysis
- AI-generated event and camera summaries
- Anomaly and pattern detection
- API design and integration
- System-to-system data pipelines
- Custom dashboards and reporting
- Notification and alerting systems
- Infrastructure and deployment automation
- Local model hosting and optimization
- Prompt and pipeline evaluation
- Documentation and maintainable configuration
Toolbox
Technologies we work with
- Local LLM runtimes
- Open-weight language models
- Vector databases
- Model Context Protocol (MCP)
- Computer vision models
- Frigate
- Node-RED
- Python
- REST and JSON APIs
- MQTT
- Docker
- Home Assistant
- Grafana
- Webhooks and integration frameworks
Process
Project lifecycle
- 01Problem and workflow discovery
- 02Data and system inventory
- 03Automation architecture
- 04Model and tool selection
- 05Integration and pipeline build
- 06Evaluation and tuning
- 07Deployment and hosting
- 08Monitoring and alerting
- 09Documentation and handoff
Useful automation is measured by the work it removes, not the demo it produces. The goal is intelligent systems you own and understand—running privately, integrated with the tools you already use.