Building agents and agentic workflows for real-world problems
We build custom AI agents that augment frontline teams in mining, oil & gas, and heavy industry. From automating maintenance workflows to intelligent document processing, our agents work alongside your people.
Applying the Delivr framework to agentic workflows
Custom AI agents that understand your operational context, make decisions, and adapt to changing conditions in real-time.
Multi-agent systems that orchestrate complex processes, collaborate with humans, and integrate seamlessly with existing systems.
Built for the operational realities of mining, oil & gas, and heavy industry. Designed to work in challenging environments.
Real-world applications for mining, oil & gas frontline operations
Agents find similar actions across safety hazards and incidents, routing tasks to the right teams based on historical patterns. Reduces time to resolution by learning from past responses.
Transform raw operational metrics into actionable insights for leaders. Agents analyze trends, identify anomalies, and surface opportunities for improvement automatically.
Agents summarize shift events, equipment issues, and outstanding actions. Generate structured handover reports automatically for incoming crews.
When incidents occur, agents automatically notify the right people, create investigation tasks, gather initial data, and coordinate response activities.
Terraform for maintenance documentation. Update procedures across hundreds of work instructions at once - change glove types, update tools, or revise safety protocols organization-wide.
Continuous monitoring of operations against safety and environmental requirements. Agents flag non-compliance in real-time and escalate to supervisors.
Platform agnostic - we choose based on your reality
We work with your existing enterprise infrastructure: AWS, GCP, Azure, Microsft Power Platform, OpenAI, Anthropic, Replit, Langchain, N8N etc.
Our technology choices are driven by your existing investments, governance requirements, team capabilities, and operational constraints - not our preferences.