01
We understand your operation from the inside
Every mine is different. We start by understanding yours, its real pains, its constraints, its context.
Real-Time Mining Intelligence
AI built for the real operational challenges of your mine
At Synappse we build AI agents that solve the operational challenges traditional software has not been able to crack. Our agents adapt to your mine’s real context, capture the live state of the ground, simulate scenarios and suggest actions before you lose production.
Scroll to meet Synappse
The problem
Mines run on systems that record the past, not on systems that solve the present.
Today’s effort goes into measuring and structuring data, instead of turning it into answers that guide the operation in real time.
Traditional systems (ERP, Excel, radio, Deswik, FMS) were designed to capture events, but they cannot process context, evaluate scenarios or suggest actions in real time. That gap has a real cost in production.
~5 of 12 hoursof the shift are actually productive
Value proposition
We don’t sell software. We build the right agent for your mine’s challenge.
We start by understanding your operation from the inside. Then we build shoulder-to-shoulder with the users, measuring impact. No generic solutions.
02
We identify where AI moves the needle most
We evaluate where AI delivers the highest impact in your operation and prioritize the challenge with the best balance of value and feasibility.
03
We build the AI agent, tailored
We build the agent for that challenge. Trained on your historical data, validated inside your mine, with measurable impact from day one.
04
We deploy it across the operation
We make sure the agent runs reliably across the full operation, not just inside a controlled pilot.
Solutions
Six challenges we solve today. Yours can be the seventh.
Each agent targets a specific operational pain in underground mining. If your challenge is not on this list, we build it.
01
Shift monitoring and adjustment
The supervisor has no visibility of real progress at each face, and when the plan deviates, no system recalculates it.
→ Agente
Shift Optimizer
Compares real progress at each face against the plan, detects deviations and recalculates the schedule with concrete adjustments for the supervisor.
02
Cross-crew visibility
Crews operate in silos. No one sees what is happening next to them, and bottlenecks stay invisible until it is too late.
→ Agente
Crew Coordinator
Monitors the state of each crew, identifies blocked dependencies and pushes updated context to whoever needs it.
03
Radio communication and KPI capture
The radio leaves no trace. KPIs are typed by hand. Analysis and reaction are human processes that arrive late.
→ Agente
Radio System Co-pilot
Transcribes conversations, logs KPIs into databases and suggests actions to the supervisor in real time.
04
Crew incentives
Two crews earn the same incentive even when they work under very different conditions.
→ Agente
Performance Evaluator
Captures the performance of each crew, adjusts it to the real context of the face and proposes differentiated incentives.
05
Documentation review
Reviewing permits and protocols consumes hours of qualified technical staff.
→ Agente
Documentation Assistant
Processes natural-language queries, reviews permits and protocols and responds with precise reference to the source document.
06
Predictive equipment maintenance
Critical equipment stops without warning. Corrective maintenance is more expensive and slower than preventive maintenance.
→ Agente
Maintenance Agent
Monitors wear indicators on critical equipment, detects anomalies and anticipates failures before they halt the operation.
What runs on your operation
Agentic systems that run on your operation
Each piece captures real data from the mine, processes it on the spot, and lets you act from wherever you are.
Real-time data capture and integration
Your operation's data lands in one place as it happens: equipment, field reports, and the systems you already run.
Radio transcription
Every exchange on the radio becomes searchable text, so nothing said on the channel gets lost.
Agentic interaction
Talk to the system where your team already works: Telegram, WhatsApp, or your own platform.
Sensor capture
We read your sensors continuously and turn the raw signal into clear readings the team can act on.
DataHub access and optimization
We connect to your DataHub, clean what is there, and make it fast to query.
Signal processing and real-time decisions
Signals get processed as they arrive, and the alert that matters reaches you in time to act.
Logs and shift records
Shift logs write themselves from what actually happened, not from memory at the end of the day.
Live mine state, from anywhere
Check the current state of the mine from your phone or your desk, wherever you are.
Our process
From diagnostic to a deployed agent. In under 4 months.
- 01
We understand the real problem
We talk to shift leads, supervisors and engineers, and review your data and systems. We leave with the challenges costing you the most production, not a generic checklist.
- 02
We find where AI actually moves the needle
For each challenge we test whether an AI agent can truly solve it and what it would look like running in your mine. We drop whatever doesn’t add value.
- 03
We pick the highest-return challenge
We weigh each case by the value it unlocks and how fast it can be reached. You decide with us which one to tackle first.
- 04
We build your agent and validate it in your mine
We design the architecture before writing code. In 1–2 months you have a working agent, trained on your historical data and proven in your operation.
- 05
We roll it out across the operation
The agent runs reliably 24/7 across every face, not just a pilot. Impact stops being a promise and becomes part of the shift.
- 06
Your operation learns and the knowledge stays
The agent improves with every shift, and what today lives in a supervisor’s head gets captured. If someone rotates out or leaves, the knowledge stays in the mine.
Synappse in 60 seconds
See how a Synappse agent acts on a real-time deviation.
From the live state of the mine to an actionable decision, in seconds.
Product video · Synappse · 2026
Comparison
What you have today vs. what an agent can do.
What you have today
- Records. Does not act.
- Someone has to interpret the data and decide, with little time and incomplete context.
- Configured for average conditions; does not distinguish between faces or between shifts.
- Analyses arrive when you can no longer correct course.
- Replacing it means months of implementation and training.
Synappse AI agents
- Reads the state of the operation and proposes the concrete action.
- The agent recommends. The supervisor decides. In seconds.
- Trained on your mine’s historical data; understands each face.
- Analysis and suggestions while you can still act.
- Built on top of the systems you already have; does not replace them.
Impact
When the mine runs with an agent, every number improves.
↑
More production
Active faces stay open longer. Balanced cycles. Fewer bottlenecks.
↓
Lower cost per unit
Equipment used to its true potential. No waiting, no redundancy.
+
More reserves unlocked
Better planning extends asset life and opens up faces previously sidelined.
−
Smaller footprint per unit
Less diesel. Fewer empty trips. Less energy wasted.
★
Safer operations
Decisions driven by live data. Fewer people in degraded conditions.
⚙
Knowledge that stays
What today lives in a supervisor’s head is captured, available against any future turnover.
The team
We have been inside mines. We have seen every angle.
Santiago Sierra
Operations Transformation
- Mechanical Engineer
- MIT Sloan MBA
- BCG Consultant, Mining Practice
4 years across 10+ mining operations projects in Chile, Peru, Argentina, Suriname and Colombia. From Newmont to Hochschild.
MIT · BCG
Edward Duarte
Software Development
- MSc, AI and Big Data
- Electrical Engineer
Built AI for business (mobility, trading) and patented IoT applications for fleets.
Javeriana · UWTSD
David Rebellón
Data Science · Agentic Systems
- MSc, PhD (c), Data Scientist
- University of London, LSHTM
Researcher in agentic systems, LLM fine-tuning and prediction models.
University of London
Contact
Does your mine have a major operational challenge nobody has been able to solve?
The diagnostic is free. In 4–5 days on site you will leave with a concrete map: prioritized use cases and an implementation plan for the most valuable one.
- →We reply within 24 hours
- ★No-cost initial diagnostic