Chemistry × MRV × Carbon Removal

From biochar batch to trusted evidence.

We are building the chemistry-to-MRV bridge that makes biochar evidence easier to trace, assess and prepare for verification.

Explore Platform → Partner With Us
Currently in development and validation
Biochar BatchIdentity + process context
ChemistryStructured evidence inputs
QA/QCCompleteness + uncertainty
Selective RamanEscalate when needed
MRV DecisionClear next action
Verification-Ready EvidenceTraceable batch record
The gap

Biochar production is scaling.
Evidence is still fragmented.

Sampling, laboratory chemistry, QA/QC and verification documentation often live in separate workflows.

0+Evidence layersSampling · chemistry · QA/QC · documentation
0Decision pathwaysProceed · repeat measurement · expert review
0Connected workflowIn development: a traceable evidence journey per batch
Concept illustration contrasting fragmented biochar batch records with an example of a structured digital evidence workspace. Dashboard values and status labels are illustrative only. Concept visual · illustrative only
The problem we are addressing

Bring scattered batch evidence into one clearer view.

Sampling notes, laboratory results, QA/QC checks and process context can be difficult to review when they live in separate places. Biochar Arabia is developing a workflow to connect those inputs into a traceable batch record.

  • Link batch identity, process context and source data.
  • Keep chemistry, QA/QC and uncertainty visible together.
  • Prepare organized evidence for downstream independent review.

This concept artwork includes example scores and verification-related labels. These are placeholders—not measured results, issued credits, certification, registry approval or a claim of permanence.

Our approach

Connect the evidence.
Clarify the next decision.

Measure what is needed. Escalate when uncertainty demands it.

01
Biochar Batch
→
02
Chemistry
→
03
QA/QC
→
04
Selective Raman
→
05
MRV Decision
→
06
Evidence Package
The platform

One evidence ladder.
Three scientific layers.

Start simple, add stronger evidence only when the batch needs it.

Try the CDI Calculator ↓ Discuss a Pilot →
01

CDI Intelligence

Selected chemistry proxies become a transparent batch-level screening score, QA/QC view and next action.

Explore CDI →
02

Smart Screening

Spray–Shine–Snap captures standardized field images and batch metadata for early screening.

See Screening →
03

Structural Fingerprint

Raman descriptors provide selective structural evidence for borderline, unusual or changed-process batches.

See Fingerprint →
Layer 01 · Routine assessment

Chemistry first. Clearer decisions.

CDI organizes selected chemistry proxies into a transparent screening layer while QA/QC remains visible and separate from the score.

✓Batch chemistry in one structured view
✓Transparent CDI score and operational grade
✓QA/QC and uncertainty remain visible
Ask about validation
Fixed Carbon / VM
Chemistry proxy
READY
H/C + O/C
Supporting evidence
READY
QA/QC
Separate confidence layer
CHECK
Next Action
Proceed · Repeat · Confirm · Review
GUIDED
Interactive batch tool

CDI Intelligence

Enter measured batch values, review quality checks separately, then see the next evidence action. Your data stays in this browser.

Provisional literature-threshold CDI — in validation.
Start your batch assessment A guided, three-step workflow. Add measured data, review evidence quality, and see the next action. Batch Input QA/QC Decision Open interactive tool Hide tool

1. Batch input

Enter values from your measured batch record. Do not estimate missing values.

Required for a final CDI in this model.

Replicate measurements

Add repeat observations to assess within-batch variability. Each replicate includes its operator and date.

At least two valid observations are needed for a per-proxy CV.

2. QA/QC — separate from CDI

Only assess a metric when its data and comparison design are sufficient.

QA/QC never adds to, subtracts from, or changes the CDI score. ICC needs an appropriate multi-batch/reliability study design and will not be inferred from repeats on one batch.

3. Decision

A screening aid for the next step—not a certification, registry decision or permanence determination.

Chemistry Screen
Batch ID not provided
Grade
—
—/ 100
Chemistry screening statusPreliminary Screen
QA/QC statusNot assessed
Raman statusRequired · not entered
Why

Enter measured values to see what drives the result.

Recommended next actionEnter measured values

No final score is shown until required evidence is available.

How was this calculated?

Enter measurements to see proxy scores and the weighted calculation.

ProxyMeasuredScoreWeight

Provisional literature-threshold CDI — in validation.
CDI = 0.20 × SFC + 0.20 × SVM + 0.20 × SHC + 0.15 × SOC + 0.25 × SRaman. The stated weights are fixed and are not renormalized. QA/QC is reported separately and never changes CDI.

Generate a timestamped local record with batch metadata, all supplied measurements, evidence status, QA/QC, decision and rationale.

Development/validation screening tool. It does not certify carbon removal, issue credits, approve registry eligibility or determine permanence.

Raman Fingerprint · selective structural evidence
Batch: not linkedTrigger: add batch measurements to assessSelective assessment · in validation

Enter a measured primary ID/IG and any replicate ID/IG readings. D/G positions and widths are optional contextual descriptors; they do not directly prove permanence.

Repeatability is assessed only when multiple valid ratios are present.

Raman statusNot assessed
ID/IG—
Raman score—
RepeatabilityNot assessed
Full CDIAwaiting all five proxies
Grade—
Next actionComplete required batch evidence

Raman trigger will be explained here after the current batch screening is assessed.

Fingerprint details and measurement context
Measured Raman descriptors and replicate details will appear here.

The Evidence PDF button opens the browser print dialog; choose “Save as PDF.” This is an in-development evidence summary, not certification, registry approval or proof of permanence.

Smart Screening · Spray–Shine–Snap
Batch: not linkedIn development / calibrationField screening only

This module uses the Batch ID from Batch Input. Capture a normal-light image and a 365 nm UV image of the same prepared sample. Keep camera distance, lighting and sample presentation as consistent as practical.

Use a clear, in-focus image with the sample visible.
Use appropriate UV-safe handling and capture the same sample area.
Normal-light sample preview; no image selected yet
Normal light · image not selected
365 nanometre UV sample preview; no image selected yet
365 nm UV · image not selected
Brightness · normalNot assessed
Color response · normalNot assessed
Fluorescence distribution · UVNot assessed
Texture / heterogeneityNot assessed
Review

Add both images and required sample metadata to assess this field screen.

Complete the field screen; use chemistry and selective Raman review when indicated by the wider evidence.

Field image screening only. Image features and simple capture-review cutoffs are uncalibrated during development. They do not directly measure or determine Fixed Carbon, H/C, O/C, CDI, permanence, or carbon removal. “Normal” means no configured image-capture flags were detected; it is not a batch acceptance or quality claim.

Image measurements are simple descriptive features for calibration; lighting, exposure, camera processing, reagent and preparation can affect them.

Batch History

Records generated on this device are listed here and stored locally in this browser.

Batch IDDateStatusCDI / ScreenQA/QCNext Action
No batch records yet. Generate a Batch Record to add one.

Interactive evidence journey
Follow one batch from field screening to a verification-ready record.
→ → → → →
◎
01 · Field Screening

Capture the batch before deeper testing.

Standardized field images and batch metadata create an early record and help flag unusual samples for further assessment.

EARLY SCREEN
MRV Intelligence

One batch. Multiple evidence layers. One traceable decision.

We organize the evidence, show uncertainty, and guide the next step without claiming to certify carbon credits or replace independent verification.

TRACEABLEBatch-level evidence
CLEARERNext-step decisions
TRANSPARENTEvidence and decision rationale
Concept illustration of a biochar evidence and verification-readiness workflow, with illustrative interface panels and placeholder status labels. Interface concept · not a live result
The verification-readiness layer

Organize evidence. Make limits clear.

The platform is being developed to bring batch identity, process context, selected chemistry, QA/QC findings, uncertainty, optional Raman descriptors and decision rationale into a structured record for review.

  • Can organize: traceable source inputs, quality checks, evidence gaps and next-action context.
  • Does not certify: carbon removals, permanence, credits or registry eligibility.
  • Does not replace: project standards, registry processes, laboratories or independent verifiers.

The image is a product concept, not a deployed dashboard. Any scores, removal quantities, permanence durations, “verified” or “issued” labels shown are illustrative placeholders and do not represent validation results, approvals or issued credits. Permanence is not directly measured by field screening.

Early access + partnerships

Building better evidence for scalable biochar carbon removal.

We are looking to connect with biochar producers, project developers, laboratories, MRV partners and investors interested in shaping the next stage.

Request Early Access → Partner With Us

Or email biochar.arabia@gmail.com.

RECOGNITION

Mission Innovation SMART-CDR Competition 2026

Developed through the Mission Innovation SMART-CDR Competition 2026.
Advancing practical MRV for biochar carbon removal.