We're not AI-first — we're people-first. Our AI is built by human experts to support decisions made by people. Solutions designed for real sustainability and operational challenges in mining, always with a human accountable for the outcome.
We develop AI-powered solutions purpose-built for the mining industry — from GISTM compliance agents to water management systems and predictive analytics.
Our AI tools connect your operational data with cutting-edge machine learning models to deliver actionable insights, automate workflows, and reduce risk.

Enterprise AI agents inside your Microsoft 365 tenant — Teams, SharePoint, Outlook, Dataverse and Azure AI Foundry. Data Riders ships in 4 to 8 weeks, with inherited Purview governance and Entra ID.
See dedicated landingAutomated reading of technical reports, inspections, action plans and regulatory filings — turning files into structured, traceable, decision-ready evidence. Powers GISTM.ai and TSM.ai.
Read the articleAI-powered compliance platform mapping the 77 GISTM requirements with automated evidence review and executive dashboard.
Explore GISTM.aiAI-assisted TSM audits — from field data and documents to executive reports, aligned with the 8 TSM protocols.
Explore TSM.aiYour Data Riders AI consultant — multilingual, voice-enabled, builds Work Plans and runs live web research for your mining questions.
Try RIDETerritorial agent for the Lower Tapajós — a community-first AI built around cultural, territorial and stakeholder context.
Meet MuiraquitãnaAI-powered system for intelligent water management in mining operations. Real-time monitoring, predictive analytics and optimization of water resources.
Learn moreRetrieval-Augmented Generation systems that connect your operational data with LLMs for contextual, accurate responses to complex mining queries.
See the methodMachine learning models for predicting operational outcomes, identifying risks and optimizing resource allocation across mining operations.
View casesData Riders Academy (now open to everyone) teaches prompt engineering and AI literacy for mining professionals.
Visit AcademyMining operations generate thousands of technical reports, geotechnical inspections, action plans, regulatory filings and field records. Document Intelligence applies NLP, LLMs and specialized agents to turn that mass of documents into actionable knowledge: mapping evidence to requirements, flagging gaps, cross-referencing historical data and accelerating audits.
It is the layer that makes it possible to move compliance from a periodic model to a continuous one — and it sits at the core of GISTM.ai (for the 77 GISTM requirements), TSM.ai (for the 8 TSM protocols) and Data Riders' Reliable Assurance cases.

Explore Data Riders' applied AI solutions for mining in detail.
Water balance, dashboards and executive decision-making powered by AI for mining operations.
Learn moreDocument Intelligence applied to the 77 GISTM requirements, with automated evidence review and executive dashboard.
Learn moreRIDE Agent, TSM.ai, GISTM.ai and Muiraquitãna — specialized agents for mining, compliance and territory.
Learn moreTechnology-agnostic guide to designing, shipping and operating AI agents — on Microsoft, AWS, Google or open-source.
See the methodDedicated landing page: scenarios (Teams, SharePoint, Outlook), benefits for M365 teams, stack comparison and Data Riders 4–8 week method.
See landingOur production line for custom AI agents: 6 live agents, RIDE methodology, evidence-first governance and stack-agnostic deployment.
Request a proposalOur AI work connects with every service line, our platforms and real case studies.
The pillar article: how NLP and agents turn documents into traceable evidence.
Read articleFrom evidence scramble to continuous compliance — why we built GISTM.ai.
Read articleOur AI platform mapping the 77 GISTM requirements with continuous audit readiness.
Explore platformAI-assisted TSM audits: from field data to executive reports.
Explore platformReal deployment: AI-powered tailings compliance across 77 GISTM requirements.
View caseAn AI agent integrated with the WAF framework for water governance.
View case