Expert Tailings Engineering for Safe and More Efficient Operations. The first TMS platform that comprehensively addresses tailings management challenges while aligning with international standards.
We combine Digital Twin and Artificial Intelligence to support operational decision-making, structuring tailings facility management around three core pillars:
We evaluate and anticipate the facility’s structural behavior through failure-mode analysis (FMEA), continuous monitoring, and ALARP-based risk management, integrating instrumentation data, remote image-based analysis, and periodic operational review results inside the Digital Twin.
We monitor and analyze the facility’s geochemical evolution by integrating water quality and balance, chemical processes, and environmental trends for preventive, efficient management that can integrate into Chemical Stability Programs and EMAC.
We structure day-to-day operations by connecting inspections, sensor measurements, and critical controls into a single, coherent flow aligned with design and operating criteria (operational KPIs).
Optimize operations with AI, reduce losses (including water consumption, materials, etc.) and turn scattered data into safer decisions from day one.
Twin Mining Tailings integrates the facility’s operational management directly into the system, digitizing operational inspections, field inspections, and activities into a single, traceable workflow. Every inspection event or observation is linked to the facility’s physical context within the digital twin, enabling consistent execution aligned with the defined design and operating criteria for each site.
The platform consolidates and correlates information from multiple monitoring sources, geotechnical and geochemical instrumentation, IoT sensors, satellite monitoring (InSAR, optical), and operational records and indicators into a single facility model. This approach eliminates information silos, improves data reliability, and enables the analysis of complex trends and behaviors that are not apparent when observing variables in isolation.
Twin Mining Tailings incorporates Artificial Intelligence engines and machine learning to analyze large volumes of technical and operational data, identify non-obvious patterns, and anticipate the facility’s behavior. AI supports risk prioritization, early anomaly detection, and technical decision-making, always integrated with the Digital Twin and validated by experts.
Twin Mining Tailings provides a mobile app for iOS and Android that mirrors the TMS core functionalities, enabling field recording of daily inspections, findings, observations, and operational activities. The app supports task management, team communication, and evidence capture directly from the field—ensuring immediate traceability and alignment between on-site operations and the facility’s digital model.
The TMS manages the real-time water balance of the plant and facility in an operational and predictive way, integrating hydrological and operational variables within the digital twin to optimize water use, reduce losses, and support timely technical decisions.
The TMS platform enables a structured risk management approach for the facility by integrating failure-mode analysis, risk and ALARP, defining critical controls, and continuously tracking their operational performance. Events, TARP alerts (chemical and physical), and deviations are directly linked to related risks and barriers, allowing teams to anticipate adverse conditions, prioritize actions, and make technical decisions based on reliable, contextualized evidence.
Twin Mining combines senior tailings engineering expertise with a high-caliber software development team. More than software, we provide expert guidance through implementation and operations so the solution reflects the real operational conditions of your facility.
A video walkthrough of Twin Mining TMS: how live facility operations look and behave in the product—dashboards, variables, and operational context from the platform we’re showcasing.
A demo video of the AI module inside Twin Mining TMS: analysis flows, signals, and decision support as they appear in the platform UI.
A TMS (Tailings Management System) is the system where a tailings storage facility's knowledge and decisions live: it consolidates operational and instrumentation data, structures the workflows an operator is required to execute — management of change, compliance self-assessment, inspections, corrective actions — and preserves auditable evidence of all of it.
It differs from a monitoring platform in scope: monitoring shows the reading; a TMS connects that reading to its threshold, the response defined for that threshold, and the document backing it, while recording who decided what and when.
Twin Mining TMS is a platform in this category, built for tailings storage facilities in copper and metal mining.
The GISTM (Global Industry Standard on Tailings Management) is the global tailings standard published in 2020 following the Brumadinho collapse. It is structured into 6 topics, 15 principles, and 77 requirements, and major mining operators publicly committed to conform to it.
Among other things it requires an interdisciplinary knowledge base for the facility, a designated and empowered Engineer of Record (EoR), a Responsible Tailings Facility Engineer (RTFE), an Independent Tailings Review Board (ITRB), and traceable evidence that each requirement was assessed and by whom.
Conformance is declared by the operator and verified by an independent reviewer: no software can certify it. What Twin Mining TMS does is organize the evidence that supports that conformance in front of the external reviewer, requirement by requirement.
TARP stands for Trigger Action Response Plan. It is the set of threshold bands for an instrument — green, amber, red — together with the response defined for each: which actions are mandatory, who must approve them, and who must be notified.
Explained to someone outside the sector: it is a sensor's traffic light, plus what has to happen when it changes colour.
In Twin Mining TMS the threshold, the response, and the document backing it live on the same screen, and changing a threshold goes through a formal management-of-change record. That last link is what separates a TMS from a monitoring system.
No, and it is worth saying plainly: the platform contains no model that predicts the failure of a tailings storage facility. Any vendor claiming otherwise is making a promise an Engineer of Record will take apart in the first technical meeting.
What Twin Mining TMS does do is shorten the time between a reading changing and someone looking at it: thresholds a specialist defined, time series with their bands, anomaly detection over the historical record, and agents that read the facility's documentation and propose with the source cited.
Deciding what a deviation means and what to do about it remains with the accountable people: the RTFE, the EoR, and the site organization.
No. Agents propose and cite; people decide. This is not a stated policy: it is in the data model. An agent suggestion enters a state that blocks until a person confirms it, and that confirmation is a second event with its own author and timestamp.
An agent never takes part in evaluating state transitions, and every verdict is signed with the model and prompt version that produced it, so an external reviewer can reconstruct where it came from.
Nothing is inferred from nothing either: every edge of the impact graph corresponds to a real relationship in the data model and declares whether it is stated or derived. Deterministic computation first, model narration second — inverting that order would let the model invent the pattern with no way to check it.
For the roles accountable for a tailings storage facility, each with a different entry point into the platform: the RTFE (Responsible Tailings Facility Engineer), the EoR or Engineer of Record, the corporate compliance lead, the Dam Owner or Accountable Executive answering to the board, the geotechnical engineer, the site or shift supervisor, and the independent reviewer or auditor.
The platform speaks the language of the trade — TARP, freeboard, ITRB, ALARP, FMEA, EMAC, Chilean DS 248 — because that is the difference between an Engineer of Record believing we understand their work in the first thirty seconds and not.
Twin Mining Tailings can integrate with existing systems or partially/fully replace current monitoring and management tools, depending on each operation's architecture and technical decisions.
In many organizations, overlapping tools create friction, rework, and fragmented information. The TMS can consolidate those functions into a single governance point for the facility.
If current systems are kept, the platform works as an orchestration layer integrating instrumentation, specialized platforms, and corporate systems. If there is functional redundancy, it can replace systems and simplify the technology stack.
In both scenarios, the goal is the same: reduce friction, remove silos, and provide one coherent, actionable view of the facility.
Twin Mining Tailings uses an API-first architecture that enables secure, bidirectional integrations across geotechnical/geochemical instrumentation, IoT sensors, satellite monitoring (InSAR, optical), and corporate systems.
The platform does more than consolidate data: it validates, normalizes, and contextualizes them in the facility Digital Twin to improve analysis reliability and reduce operational noise.
Integrations can be implemented incrementally, avoiding high-impact or disruptive projects.
Twin Mining Tailings models are not black boxes. The Digital Twin is built on tailings engineering principles, design information, real operational conditions, and historical data, and it continuously evolves with new measurements and inspections.
AI is used for anomaly detection, trend analysis, reading the facility's documentation, and decision support, always grounded in the facility's physical and technical context and always subject to human confirmation.
Models are calibrated and supervised by specialized tailings engineers to ensure interpretability, traceability, and technical trust.
Yes. Twin Mining Tailings scales from a single facility to multi-site, multi-country portfolios while maintaining technical consistency and local flexibility.
It supports corporate-level standardization of criteria, models, and workflows, while still adapting to each facility's specific conditions.
Twin Mining Tailings is not only software. It is complemented by specialized tailings engineers who support implementation, configuration, and system evolution.
This team ensures models reflect real facility behavior, TARP thresholds and critical controls are technically sound, and the platform evolves with operational and design changes.
Traditional platforms mostly focus on data visualization. Twin Mining Tailings is a Tailings Management System (TMS) that unifies monitoring, operations, risk, and governance.
It does not just display information: it structures day-to-day management, links events/decisions/actions, and turns scattered data into active, traceable technical management.
One question orders the whole product design: could an external auditor reconstruct who decided what, when, with which information in view, and under what authority? A monitoring system answers the first half; a TMS answers the whole question.
Twin Mining Tailings is designed to support compliance with Chilean tailings programs and SERNAGEOMIN requirements, including the M1/M2 modules and Chilean DS 248, aligned with national and international technical guidance.
M1 - Inspection and operation: enables structured, traceable daily inspections with evidence, ownership, and immediate availability for audits or regulatory review.
M2 - Monitoring and control: integrates required monitoring data with continuity, validation, and trend analysis to detect deviations and act on time.
EMAC - Chemical stability and environmental management: supports water quality/balance, geochemical processes, environmental monitoring, and trend analysis with end-to-end traceability.
Regulatory compliance is declared and answered for by the operator; what the platform contributes is that the evidence is organized and available when the regulator asks, without adding operational overhead.
Yes. The platform is aligned with the principles of the Global Industry Standard on Tailings Management (GISTM) and helps operationalize the self-assessment of its 77 requirements.
It structures processes, controls, evidence, and workflows to assess adherence to all 15 principles with traceability and audit-ready records, and makes visible the gap between what can already be defended and what cannot yet.
No software certifies or guarantees GISTM conformance: the operator declares it and an independent reviewer verifies it. What the platform organizes is the evidence that declaration is defended with.
Twin Mining Tailings is a modular TMS platform designed to adapt to each operation's technical and organizational reality.
Modules can be deployed independently or progressively, enabling incremental adoption and value-based prioritization.
All modules share a Digital Twin core, preserving technical coherence and traceability as new capabilities are added.
This design reduces implementation friction, avoids heavy upfront projects, and supports scaling from specific use cases to full facility governance.
The platform is bilingual Spanish/English across its entire surface, including reports and the field application. The domain layer returns translation keys and never prose, so adding a language does not require rewriting logic.
Twin Mining is based in Chile — the world's largest copper producer and one of the most demanding tailings-regulation jurisdictions — and the platform is designed to operate across multi-site, multi-country metal mining portfolios.
Schedule a personalized demonstration. We'll show you how TMS adapts to your operation's specific needs.
