Cinematic aerial view of an exploration landscape at dusk.
Agentic AI for the full life of a mineral asset

One engine for the whole life
of a mineral asset.

Exploration to closure — one engine for the whole life of a mine: model the ground, plan the drilling, and build the resource, then plan, manage and operate the mine through to closure — while keeping your data, tenements, budgets, procurement and compliance in order. Every result flows into a single audit trail, carries a cryptographic signature, and is signed off by a human Competent Person.

Scroll
12agents live
(21 mapped)
50services, full lifecycle
(14 on-platform today)
~24validation studies
fails included
100%bit-for-bit
replayable

One engine across the whole lifecycle — the same stages you work through in the product

Plan the SurveyKnow the DataModel the GroundCall the TargetPlan the DrillingBuild the ResourceReport & SignDevelop & OperateClose & Hand Back
Abstract network of connected nodes over a dark field.
The orchestration core

A reasoning swarm, not a single black box.

Twelve production agents live today, twenty-one mapped across the lifecycle. Each agent owns one job — from data intake and QC through resource estimation, permitting, mine development, operations, and closure. They pass evidence forward, argue over the posterior, and hand the Competent Person a decision-ready result with every assumption on record.

A01QC
A02Data ETL
A03Prospect Scorer
A04Survey Designer
A05Core Logging Assistant
A06Tenement Manager
A07Budget Tracker
A08Resource Estimator
A09Regulatory Agent
A10Mine Development
A11Operations
A12Closure
Why it holds up under scrutiny

Built so the
signature survives audit.

The moat

Every result is cryptographically signed and replayable.

Results are signed against production key prod-54f50a4053f3 with a public JWKS endpoint, written to an append-only ledger, and reproducible bit-for-bit. When a Competent Person stakes their name on a target, the provenance is the proof.

Detail of a signed inversion result visualization.
Decision-ready

Ranked drill targets

Each target carries a probability of intersection plus a depth-to-top estimate with a confidence interval, ordered for the drill plan, not the slide deck.

Honest uncertainty

Posteriors, not point estimates

Joint inversion across complementary physics — gravity, magnetics, seismic velocity, electromagnetics and magnetotellurics, and geochemistry coupled to geophysics — returns full distributions, so risk is quantified instead of hidden in a single deterministic answer.

For the Competent Person

A tool that defends a QP report, not one that replaces judgement.

Tolun produces the evidence chain a Competent Person needs to sign off under code: traceable inputs, documented assumptions, validation against known geology, and a tamper-evident record of exactly how every number was produced.

Demo run — public data, not a client project

Watch it work.

One full run, start to finish, on our standing demo scenario: the Harrat Rahat volcanic field in Saudi Arabia, modelled entirely from public survey data. The engine loads the data, models the ground, ranks the targets and proposes the holes — then records the whole chain of custody and queues the result for a human Competent Person to sign off.

Prefer real studies to a demo scenario? The public showcase →

tolun-run · demo · harrat-rahat
$ tolun run --project harrat-rahat-demo --full data loading ........ surveys, drillholes and assays loaded geology ............. rock units and structure mapped model the ground .... your surveys combined into one 3-D picture geochemistry ........ alteration and pathfinder anomalies flagged uncertainty ......... odds and error bars set on every target target ranking ...... 3 targets above threshold — with depth and confidence └ T-01 odds of a hit 78% depth to top 142 m ±19 └ T-02 odds of a hit 64% depth to top 208 m ±27 drill planning ...... collars and hole orientations proposed chain of custody .... every number traced to source, tamper-evident competent person .... queued for human sign-off✓ result recorded · reproducible · signed off by a Competent Person
Validation on public data — verdicts as-run

Blind studies,
fails included.

~24 blind, pre-registered validation studies on fully public data in about three months — every verdict recorded as it came out, fails alongside passes. The three below are cleared by our Competent Person and published in full; the rest stay internal until each one is signed off.

See the full ledger →

Provenance is the product

Verify any result without trusting us.

The signature, the public key, and the ledger entry are all independently checkable. The drill decision rests on math and cryptography, not on a vendor's word.

[01]A cryptographic signature over the full result payload signing_key_id
[02]Public JWKS endpoint to fetch the verifying key
[03]Append-only ledger with a tamper-evident chain
[04]Bit-for-bit replay from the recorded inputs
key: prod-54f50a4053f3
Engagement

Start with a pilot.
Scale on results.

Pilot
Scoped per project

A scoped run on one project area: full joint inversion, ranked targets, and a signed, replayable result package your QP can audit.

Scope a pilot
Program
Scoped per project

Ongoing discovery support across multiple targets and survey types, with provenance retained for every deliverable across the campaign.

Talk to us →
Enterprise
Contact

On-prem deployment, custom forward models, and integration with your existing exploration data estate. Pricing on a per-deployment basis.

Contact sales
Drill with evidence

Put a signature on your next drill decision.

Questions or feedback? Email us at founders@tolun.ai.