Process simulation for molecules that have never been made

Know whether a new molecule will run in your plant, before you build a pilot.

Morio predicts the properties of molecules no databank has seen, puts a calibrated error bar on every one, and runs them through your flowsheet to purity, energy and cost. You see the answer, and how far to trust it, before anyone commits capital.

Works with
  • Aspen Plus
  • Aspen HYSYS
  • DWSIM
  • gPROMS
Sample run · CO₂ capture · IL-7 · Run 14RunningConverged · 14 iterations
R-101 · AbsorberSOLVINGCONVERGEDFL-101 · FlashSOLVINGCONVERGEDT-201 · StripperSOLVINGCONVERGEDS-1 · FLUE GASS-4 · TREATED GASS-2 · RICH SOLVENTS-3 · FLASH LIQUIDS-6 · LEAN SOLVENT · RECYCLES-5 · CO₂ 99.4 % ±0.3Q-2 · 2.1 MW ±0.2
Purity · overhead99.4 % ±0.3
Reboiler duty2.1 MW ±0.2
Sweep · overnight2,048 designs
A reactor vessel being craned into a pilot plant under construction
The problem

Your simulator has never met your molecule.

AI and high-throughput labs now propose candidates faster than any team can evaluate them. Yet only about a hundred new chemicals reach US production each year, because nobody builds a plant around a molecule they cannot simulate.

  1. No data, so somebody guesses.

    A new compound is in no databank. Its properties get estimated by hand, with group-contribution methods that are decades old.

  2. One number, no error bar.

    A guessed viscosity looks exactly as certain as a measured one. Nobody can say how far the purity or the energy bill could move.

  3. A handful of candidates, not hundreds.

    Every flowsheet is built by a scarce process engineer, so most of the molecules your chemists or your models generate are never looked at.

  4. The pilot plant becomes the experiment.

    Years and capital go into finding out what the simulation could not tell you. The surprises arrive when they are most expensive.

What Morio does

Morio makes a never-made molecule simulation-ready, and tells you how far to trust the result.

01

Simulate molecules no databank has

ML and physics predict thermodynamic and transport properties from structure, anchored to measured data wherever it exists.

02

Know how wrong the answer could be

Every property carries a calibrated band, and the band follows it through the flowsheet to purity, energy and cost.

03

Screen every candidate, not three

Agents build and sweep flowsheet variants for each candidate and rank them on what matters at plant scale.

04

Keep the simulator you trust

Export a CAPE-OPEN property package into Aspen Plus, HYSYS, DWSIM or gPROMS. Your validated models stay where they are.

How it works

Error bars from the molecule to the plant.

Other tools stop at the property, or hand you a single number. Morio carries the uncertainty all the way through, so the risk is on the table before anyone builds anything.

  1. 01

    Molecule

    SMILES · structure · name

    Bring a structure. No measured data needed.

  2. 02

    Properties

    Viscosity 38 mPa·s±6

    Predicted from structure, with a calibrated band and a source on every value.

  3. 03

    Flowsheet

    Reboiler 2.1 MW±0.2

    Agents run your process with the bands attached and sweep the design.

  4. 04

    Decision

    Purity 99.4 %±0.3

    Purity, energy and cost with error bars. Export to your simulator, or make the call.

The product

Every property carries a band and a provenance, so your engineers see what is measured and what is predicted.

MorioProperty package · IL-7 · new compound
Ready

Five of eight properties are predicted; the viscosity band drives most of the duty uncertainty.

Band on reboiler duty±9 %carried from the property bands
Measured · Predicted3 · 5ILThermo points found for 3 of 8
Widest band±16 % viscosityone measurement at 40 °C would halve it
PropertyValue95 % bandSourceStatus
Vapour pressure · 80 °C12.4 kPa±1.1Predicted · GNN + COSMO-RSTolerance
Viscosity · 40 °C38 mPa·s±6Predicted · GNN · widest bandTolerance
Heat of absorption · CO₂−58 kJ/mol±4Measured · ILThermo · 6 pointsConverged
Density · 25 °C1.08 g/cm³±0.01Measured · ILThermo · 14 pointsConverged
NRTL τ₁₂ · CO₂ in IL-70.42±0.09Fitted · 11 predicted VLE pointsTolerance
Show calibration curvesExport CAPE-OPEN package

Sample project · CO₂-capture solvent IL-7 · example values

  • Provenance on every number

    Each value shows whether it was measured, predicted or fitted, and from what.

  • Proposals your engineers approve

    The agent suggests a change and shows the band it moves. Nothing changes until an engineer says so.

  • The next measurement that matters

    Morio tells you which single lab measurement would shrink the uncertainty most, so the lab works on what moves the decision.

Works with your stack

Morio works with the simulator you already run.

Results export through CAPE-OPEN, the standard way to plug a property package into a process simulator. Your plants keep their tools and their validated models. Morio adds the part none of them have: properties you can trust for a molecule no databank has seen.

A pipe rack at a process plant in daylight

What changes for a new molecule

 TodayWith Morio
PropertiesHand estimates from decades-old group-contribution methodsPredicted from structure by ML and physics, anchored to measured data
UncertaintyOne number, no error barA calibrated band on every property
Plant-scale impactUnknown until the pilot plantBands carried through to purity, energy and cost
Candidates evaluatedA handful, one flowsheet at a timeEvery candidate, swept by agents
WorkflowDesktop tools, scripted by handAPI-first and agent-native, with an MCP server
Who it is for

Built for the teams that have to bet on a new molecule.

R&D and innovation leaders

Make the go or no-go call on a new molecule before the pilot plant, with the risk on the table.

AI discovery teams

Rank candidates by whether they can be made and run at scale, not only by how they perform in the flask.

Process engineers

Get a property package with error bars for compounds no databank has, inside the simulator you already use.

Industries
  • Carbon capture
  • Specialty chemicals
  • Solvents and process fluids
  • Polymers and elastomers
  • Semiconductor materials
  • Energy and refining
A jacketed glass reactor on a laboratory bench
Case study · Refinery CO₂ capture

We have taken a designed molecule all the way to a refinery digital twin.

Our team designed a CO₂-capture molecule, had it validated independently by URV in Spain, and supplied its parameters to SOCAR's Aspen Plus digital twin of the STAR refinery, where it captured 67 % of CO₂ at 15 bar. Morio is that loop, turned into software.

67 %
CO₂ captured at 15 bar in SOCAR's refinery twin
8
candidates synthesised and tested in three months
URV
independent validation of the designed molecule
Pilots

Bring us a molecule nobody has made yet.

Tell us about the candidate and the process it has to run in. We will scope a pilot on your own flowsheet.

  1. 01Tell us about your moleculeOne email: the candidate, the process, the decision.
  2. 02Thirty minutes with our foundersWe go through your flowsheet and what you need to know.
  3. 03A scoped pilotOne molecule, your process, a clear answer with error bars.