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Prepared for Captura · partnership proposal · July 2026

Direct ocean capture, modeled

Your process is electrochemistry. So is our engine.

Captura pulls CO₂ from seawater with bipolar-membrane electrodialysis. MESSAI is an electrochemical-systems modeling platform. What we bring isn't a literature match — it's the ion-transport physics, membrane models, calibrated prediction, and research tooling that sit underneath the platform, and that map cleanly onto your stack.

seawater → CO₂ via BPM electrodialysision transport · membranes · calibrated prediction · TEA
150×
CO₂ denser in seawater vs. air
Captura
<10 µV/h
Membrane voltage-degradation target we can model
Captura
23k+
Papers in our extraction + knowledge-graph pipeline
MESSAI corpus
1-D N-P
Carbonate/bicarbonate transport solver, already shipped
libs/shared/electrochemistry
What transfers

A mechanistic ion-transport + carbonate/bicarbonate pH engine, a membrane parameter library, uncertainty-calibrated performance prediction, techno-economic modeling, and a paper-extraction → knowledge-graph stack. None of it cares whether the electrons come from a microbe or a rectifier.

What we won't overclaim
  • Our corpus is microbial (biotic) electrochemistry; your process is abiotic.
  • Our priors are fit on microbial data and would need re-fitting on electrodialysis data before any prediction is trustworthy.
  • Day-one value is the engine and physics modules — not turnkey numbers.
INPUTSeawater + renewable powerAlkalinity, DIC, temperaturevary by site.STACKBPM electrodialysisSplits salt water intoacid + base.REACTAcidify seawaterAcid drives HCO₃⁻ →gaseous CO₂.EXTRACTDegas + capture CO₂For storage or reuse.OUTPUTDecarbonated water returnsRe-absorbs atmospheric CO₂.
Seawater and renewable power in; a bipolar-membrane stack splits salt water into acid and base; the acid drives bicarbonate to gaseous CO₂, which is degassed and captured; the decarbonated water returns to the ocean and re-absorbs atmospheric CO₂.
→ Transport & pH

Our 1-D Nernst–Planck solver with exact carbonate/bicarbonate speciation models CO₂ flux vs. current density, alkalinity/DIC, and temperature — the acidification/degas step, directly.

→ Membrane models

Our catalog already types BPM / CEM / AEM by permselectivity, area-specific resistance, conductivity and durability — the levers behind your voltage-degradation and energy-per-ton claims.

→ Scale-up & cost

Calibrated prediction and a TEA sandbox project energy intensity, capture rate, membrane life and $/ton across your 1t → 100t → 1,000t path — with honest confidence intervals.

Tier AStrongest — genuine physics & engine transfer
Seawater carbonate / pH transport model

Repoint our Nernst–Planck + buffer-chemistry solver from a biofilm to a membrane channel: predicted CO₂ flux and the proton-transport-limited "critical current density" regime.

libs/shared/electrochemistry · nernst-planck
Membrane selection & benchmarking

Map ASR, permselectivity and degradation rate to stack voltage → energy intensity → $/ton. Compare candidate membranes on one consistent yardstick.

component-catalog · membrane-catalog
Calibrated scale-up prediction

Hierarchical priors + conformal calibration emit a strict {value, unit, ci_low, ci_high, confidence, source} contract — error bars investors and DOE will ask for.

ml · hierarchical-priors + conformal
Techno-economic analysis

Model $/ton CO₂ against current density, membrane cost/life, electricity price, plant scale and infrastructure reuse — with the sensitivity view that shows which lever matters.

Process TEA surfaces
Tier BStrong — platform & tooling transfer
Ocean-CDR research intelligence

Point our extraction pipeline + "Hunter" research-scan at the DOC / mCDR / BPMED literature — a living, queryable KG of energy intensity, current density, fouling and MRV methods.

Process causal DAG

Encode your cause-graph — alkalinity → local pH → degas efficiency → energy/ton; current density → voltage → membrane life → capex — for internal reasoning and clear explanation.

3-D digital twin

Our R3F / Three.js stack renders a membrane-stack + flow-channel + degassing twin — useful as both an engineering tool and an investor-facing asset.

Data harmonization + MRV

SI unit normalization and canonical parameters turn three pilot sites' heterogeneous logs into one comparable dataset, and formalize reproducible MRV protocols.

Tier CForward-looking — a partnership thesis, not next week
Closing the loop on reuse

Here our biotic corpus earns its place: microbial electrosynthesis converts CO₂ into fuels and chemicals — a downstream reuse pathway for the CO₂ you capture.

MDC cross-pollination

Microbial desalination cells share your ion-exchange-membrane + acid/base architecture. Learnings on fouling, scaling and ion transport flow both directions.

Shipped

We already model the exact chemistry you exploit

MESSAI ships a 1-D Nernst–Planck solver with diffusion + electromigration flux and exact carbonate / bicarbonate / phosphate buffer speciation, including the proton-transport-limited critical-current-density regime. It was written for biofilm pH gradients — but HCO₃⁻ → CO₂ under local acidification is your process. The boundary conditions move from an electrode surface to a membrane channel; the physics is the same.

A
Stand up the KG

Run extraction over ~150–200 DOC / mCDR / BPMED papers into a Captura-relevant parameter knowledge graph.

B
Adapt the solver

Move the Nernst–Planck model to a membrane channel and reproduce a published CO₂-flux-vs-current-density curve.

C
Wire a TEA sandbox

A small $/ton sensitivity model across current density, membrane life and electricity price.

Cheap to run, and it de-risks the whole thesis: it shows whether the physics-engine transfer holds before anyone commits to more.

Let's run the pilot.

MESSAI — electrochemical-systems modeling platform.

founders@messai.io
Sources: capturacorp.com/technology · /electrodialysis · MESSAI platform snapshot, July 2026 (corpus 23k+ papers; 1-D Nernst–Planck solver in libs/shared/electrochemistry)