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Waste-to-value & direct air capture · overview · Sept 2026

Design software for electrochemical reactors

Before anyone pours concrete, the reactor has already run ten thousand times.

MESSAI turns a waste stream, or a cubic metre of air, into a calibrated prediction of what comes out, what it costs, and which single measurement would shrink the uncertainty most. We sell the design and techno-economic layer. Partners build the hardware.

wastewater → water · power · biogas · P · N · metalsair → CO₂ via pH-swing electrodialysis
What it is
A physics + literature model of bioelectrochemical and electrochemical reactors, cell to plant, with uncertainty on every number.
What it is not
Not a reactor vendor. Not a point-estimate calculator. Every output ships a value, a unit, a confidence interval and its source.
Who pays
Industrial operators deciding whether a pilot is worth funding, and the labs and developers who design the reactors they buy.

One engine, two front doors

Both product lines share the same core: route the input to the right physics, predict with calibrated uncertainty, and price the plant with a measurement plan attached. That shared core is the asset. The two front doors are just different inlets.

WASTE-TO-VALUEDIRECT AIR CAPTUREWaste streamCOD · N · P · metals · flowfeedsBioelectrochemical reactorMFC · MEC + digester+ struvite · NH₃ strip · EC polishrecoversclean waterelectricity · H₂biogasstruvite (P)NH₃ (N)metalsAmbient air420 ppm CO₂ · humidityfanContactoralkaline solventabsorbs CO₂richBPM electrodialysispH swing releases CO₂regenerates solventlean solvent returnsdegasCO₂ stream→ compressionbothMESSAI coreRouteto the right physics familyPredictwith a calibrated intervalPriceCAPEX · OPEX · levelized costMeasurethe one test that matters
Six recoverable products from a waste stream; one CO₂ stream from air. Both trains land in the same four-step core, which is where the intellectual property and the margin live.

Traction you can audit

Every figure below is a static snapshot from the platform's own verification docs, dated. The DAC interval is wide on purpose: the model reports it instead of hiding it, and it names the measurement that closes it.

23,470
peer-reviewed BES papers ingested
corpus, May 2026
195k
extracted parameter rows, canonically tagged
ExtractedParameterData
96.5%
empirical coverage at a 95% target, 377 held-out observations
conformal calibration · ECE 0.024
6
waste-to-value archetypes with live prediction + 15-year TEA
/demo/resource-recovery
1 kt/yr
DAC pilot preset, cell to plant to levelized cost
1,280 cell pairs · 32 stacks
€1,156/t
levelized cost of capture, pilot preset
90% interval ±129% · 2026-08-28
2,538
kWh per tonne CO₂, capture only, pilot
floors: 1,995 Faradaic · 122 reversible
93.5%
of LCOC variance explained by one number: membrane price at volume
one supplier quote collapses it

How money comes in

Land with a paid study, expand to the engineers who then use the tool daily, and grow to the enterprise platform once a customer has more than one site. Comparable process-simulation vendors sit at $50–150K per enterprise seat.

Year 1 · land
Feasibility studies
$25K – $100K each
A partner's real stream, routed, predicted, priced, with a measurement plan. Also the calibration data we need.
Year 2+ · expand
Engineer seat licenses
$50K – $250K / engineer / yr
Design workspace, TEA, sweep and sensitivity tools inside the customer's own workflow.
Year 3+ · platform
Enterprise platform
$250K – $1M+ / yr
Multi-site, private corpus, API access for the customer's own models. 80–85% gross margin target.

Why it holds

Corpus
23k papers, extracted and canonically tagged. 18–24 months and $1.5–3M to rebuild, and that assumes the replicator already knows the taxonomy.
Calibration
Hierarchical priors with conformal intervals that empirically cover. Most "AI for science" tools ship 95% intervals that cover about half the time.
Open-source pull
Nine public MESS packages; once a paper cites our parameter slugs, switching costs a reproducibility break.
Physics routing
Seventeen system types route to five physics families. Generalist simulators have one solver; specialist ones cover one family. DAC is the sixth inlet on the same router.

Next six months

Each milestone has a number attached so both of us know whether it happened.

Month 1–2
Willingness to pay
20 structured interviews. Pass: 5 say yes at ≥$25K.
Month 1–3
Paid studies signed
Industrial dischargers or one DAC developer. Pass: 2 signed, 1 delivered.
Month 2–4
DAC design partner
Membrane quote at volume + one bench V–I sweep. Pass: LCOC interval ±129% → under ±50%.
Month 3–5
Held-out partner data
Predict a real stream blind. Pass: measured value inside the interval.
Month 4–6
Academic seats
Convert the ISMET beta list. Pass: 10 paying labs at $5–10K.

What your stream could become

Pick the row that matches what you discharge or emit. Each row is a modeled system with a published baseline, and each prediction comes with an interval and an honest flag when your stream sits outside the data we have.

Your inputSystemWhat comes outNotes
High-COD organic wastewaterMFC + anaerobic digestionwaterelectricitybiogasBrewery, dairy, food processing. MFC is the most data-rich system class in the corpus.
High-COD, want hydrogenMEC + anaerobic digestionwaterH₂biogas0.6 V applied; hydrogen instead of power.
Phosphorus-rich streamMFC + struvite side-streamwaterelectricitystruvite (P)MgCl₂ dosing; 90% P recovery in the baseline model (a 200 mg P/L centrate).
Ammonia-rich streamMFC + NH₃ strippingwaterelectricityNH₃ (N)N-fertilizer feedstock; 80% N recovery in the baseline model (a 600 mg N/L stream).
Heavy-metal contaminatedMFC + electrochemical polishingwaterelectricitymetalsMining, plating, electronics effluent. Electrocoagulation removes metals into the floc sludge — removal, not recovery.
Any of the above, todayConventional activated sludgewater onlyThe incumbent baseline every case is priced against.
Ambient airBipolar-membrane electrodialysis DACCO₂ streamcompressed CO₂Presets at 0.15 t/yr bench, 1 kt/yr pilot, 100 kt/yr commercial. Same core, different inlet.
Mine ventilation methaneMethanotrophic biofilterCH₄ oxidizedEarly model, not yet calibrated. Ask if relevant.

What a feasibility study looks like

Six to eight weeks from stream data to a screening-grade answer with its uncertainty stated. The output is not a brochure; it is the number, its interval, the plant economics, and the one or two bench measurements that would move the answer most.

Weeks 1–2
Characterize
You share flow, COD, N, P, metals, temperature, and what you pay today. We map it to the corpus and flag where your stream is outside the data.
Weeks 2–4
Route and predict
The stream is routed to the right physics family and archetype. Each prediction comes with its interval and an out-of-distribution flag.
Weeks 4–6
Price it
CAPEX, OPEX, levelized cost or net present value over the plant life (15 years for MES trains, 25 for activated sludge), against your incumbent. Cost inputs are labeled literature or assumed, line by line.
Weeks 6–8
Name the test
A ranked measurement plan. For DAC, a bench V–I sweep explains 68% of the energy variance; a membrane quote explains 93.5% of the cost variance.

What we will tell you before you ask

  • The DAC model has not been calibrated against a running plant. Its own anchor scorecard is 6/10 at pilot scale, and it reports specific energy 69% above the 1,000–1,500 kWh/t band published developers claim. That gap is real physics (a carbonate solvent costs two Faradays per CO₂, not one), not a bug we hide.
  • Membrane life in the presets exceeds anything published. The longest reported bipolar-membrane run is about 1,100 operating hours; the presets assume far more. Membrane price and life together dominate the cost interval.
  • Six of eighteen DAC cost inputs are literature-sourced; twelve are assumed. Each is labeled. A partner's quote replaces an assumption with a fact.
  • Waste-to-value predictions are strongest for MFC systems, where held-out coverage was measured. Sparse archetypes carry a visible out-of-distribution flag.

Partners are the calibration. The first studies are priced accordingly.

Start with one stream

Send a flow rate and a lab sheet. Within a week you get a routed archetype, a first interval, and a scope for the study.

founders@messai.io
Sources: docs/electrochemical-dac.md (verification 2026-08-28) · docs/dac-measurement-plan.md · docs/pitch/2026-05-19-moat-tam-competitive.md · /investors · /demo/resource-recovery