The Resource Estimation Studio

From drillhole
to disclosure.

SRES turns raw drillhole databases into resource statements a Competent Person can sign — Ordinary Kriging with fitted variograms, reproducible block models, and standards-aligned CPRs. No bolt-ons. No legacy license servers. No ambiguity in the audit trail.

Standards
Native by default
Reproducible
Every single run
Kriging
At cloud scale
Built with
Working CPs
SRES · Resource Cockpit
ORE TONNES
0.0 Mt
▲ 4.3%
AVG GRADE
0.00 g/t
Au
NPV @ 8%
$0 M
▲ OK est.
N
3D · Kriged
500 m
LGMGHG
Variogram · fit
R² 0.94
Range · 180 mSill · 0.72Nugget · 0.08
Classification
Measured42%
Indicated35%
Inferred23%
OK · 3.1 s per 100k blocks
Standards shipped
JORC · 2012
NI 43-101
SAMREC · 2016
CIM · Best Practice
PERC · 2021
ISO 9001-ready
SOC 2 · roadmap
The SRES Pipeline

A single, opinionated pipeline —
built for the Competent Person.

Every stage hands its outputs to the next. Nothing gets lost between tools. Every artefact is snapshotted and reproducible bit-for-bit.

Ingest
Collar · Survey · Assay
QAQC
Precision · Bias · HARD
Statistics
Log-prob · Top-cut
Variography
Fit · Anisotropy
Kriging
OK · IDW · NN
Classification
M / I / Inf
CPR
JORC · NI 43-101
Multi-commodity

From a single drillhole
to any commodity you sign off.

Fe, Au, Cu, Ag, Ni, U₃O₈, Li, Zn — SRES treats commodity as a first-class variable. Price basis, recovery curves, cut-off ranges and reporting templates flex to match the resource you're actually estimating.

GVCL-04
80m180m280m380mOVBWXOREHGBIFGN
SRES
Fe
Au
Cu
Ag
Ni
U₃O₈
Li
Zn
The numbers behind the workflow
0 min
Drillhole → CPR
0
Reporting Standards
0 sec
OK · per 100k blocks
0%
Reproducible Runs
0
Desktop Installs
24×7
Cloud Availability
Six Studio Modules

Everything the Competent Person needs.
Nothing they don't.

01
Drillhole Compiler

Collar / Survey / Assay / Geology with control samples · Column alias auto-mapping · Deep validation · Composite length auditing.

02
Variography

Experimental variograms · Spherical, exponential and Gaussian model fitting · Anisotropy detection · Per-domain fits.

03
Kriged Block Models

Ordinary Kriging, Inverse-Distance and Nearest-Neighbour · Composite lengths · Per-lithology domaining and density mapping.

04
Classification & Confidence

Measured / Indicated / Inferred logic · Search coverage rules · Slope-of-regression · Per-block audit trail.

05
Economics & Sensitivity

Floating-cone pit optimisation · Cut-off × NPV sweeps · Monte-Carlo NPV · Price / cost / recovery scenarios.

06
Competent Person Reports

JORC / NI 43-101 / SAMREC / CIM / PERC-aligned CPR PDFs · Signature blocks · Watermarked, expiring share links.

Why SRES

A studio, not a suite.
Depth over breadth.

Where broad mining suites offer a hundred half-answers, SRES delivers the six modules the Competent Person actually signs off — done with the geostatistical rigour that stands up to an audit.

01
Estimation-first, not lifecycle-broad

SRES is a scalpel — not a Swiss-army knife. Every screen is dedicated to the specialist work of turning drill assays into a signed resource statement.

02
Reproducibility is a first-class citizen

Every kriging run, pit optimisation and CPR is snapshotted with its inputs. Anything you signed a year ago can be re-generated bit-for-bit today.

03
Standards native — not standards-adjacent

JORC, NI 43-101, SAMREC, CIM and PERC templates ship out of the box. Table 1 disclosures are captured inline with the workflow, not bolted on at the end.

04
Written with the CPs who sign

Our product roadmap is co-owned by Competent Persons who put their name on real resource statements — quarterly, publicly, personally accountable.

Geoscience stack

The libraries a resource geologist would choose —
wired together properly.

PyKrigeGeoStatsPyGSLIB conventionsSciPy · variogram fitNumPy · block opsPandas · assay tablesShapelyGeoPandasPlotly WebGLReportLab · CPRFastAPIMongoDB Atlas
Book a working session

Ready to defend your next resource statement?

Bring your drillhole database. In a single 45-minute session we'll krig your first block model, generate a draft CPR PDF, and walk you through every assumption behind it — with the auditor already in mind.