Project PISCES

Process Integration & Synthesis using Chemical Engineering Standards

The AI-native platform
for process data
integration.

PISCES unifies process data into a collaborative interface for analysis, modeling, and design.

With Florence by your side, powerful AI insights are only a prompt away, and always grounded in domain expertise.

Corn Stover → Ethanolv2.1
Baseline scenarioHost: Z. mobilis
212,000 kg/h feed·143M kg of Ethanol per year·41 MW heat duty·$422M CapEx·$106M/yr OpEx
Ask Florence about this flowsheet...

An expanding public database

Our public flowsheet database is constantly growing in size,
and actively curated for quality.

Public database

Explore diverse process designs

Browse, filter, and query flowsheets covering fuels, chemicals, pharmaceuticals,
food products, and more.

Private workspaces

Your data, your team, your models

Keep proprietary data in secure, private workspaces visible only to you and your team. Comment, collaborate, and track every revision, then train custom models to get the most intelligence from your data.

Private and secure

Share a workspace with only the members of your team. Your data never goes public.

Comment and collaborate

Discuss any unit or stream inline. Contributions are intuitive and stay in context.

Version history

Every flowsheet is versioned over time, so you can track changes and revisit any revision.

Custom-trained models

Build models on your private library to get the most intelligence from your data.

North Star Biofuels

Private workspace

AKRMJL

Comments on Fermenter R-201

AK
Should we bump the fermenter temperature to 32 °C?
RM
Agreed. Updating the conditions now.

Version history

  • v3Updated fermenter conditionsjust now
  • v2Added TEA assumptions2 days ago
  • v1Imported from SuperProlast week
Custom model trained on 48 private flowsheets
TEA and LCA studio
Coming soon

Analyze with confidence

Build rigorous techno-economic analyses and life-cycle assessments directly from process flowsheets. Adjust parameters, explore trade-offs, and compare different
design scenarios.

$35.6MNet present valuebefore taxes
14.3%IRRbefore taxes
6.7 yrPayback periodto break even
143 kt/yrEthanol output142.7M kg/yr

Annual economics

Millions USD, corn stover to ethanol

Equipment cost$25.6M
Operating cost$106.2M
Revenue$119.3M

Feedstock dominates operating cost, the key lever for cellulosic ethanol economics.

Studio access coming soon
Your AI process engineer

Meet Florence

Florence brings process engineering expertise to every corner of PISCES.
Answering your data questions, proposing process improvements, and helping reason and iterate faster on flowsheet designs and analyses.

Coming soon

TEA and LCA analysis

Work through techno-economic and life-cycle questions with numbers traced to the flowsheet.

Coming soon

Simulation copilot

Configure, run, and interpret rigorous process simulations from a harmonized flowsheet.

Coming soon

Flowsheet Builder

Describe a process in plain language and watch Florence assemble it on the canvas.

The whole process-engineering lifecycle

PISCES is more than a standard format. It is an end-to-end platform for managing process data, from extraction, validation and harmonization to analysis, simulation, and generative design. Built for collaboration and powered by AI.

Bring your data from anywhere

Decades of process data is scattered across PDFs, spreadsheets, and proprietary simulator files. PISCES brings it together in a unified platform designed for both human and AI readability.

The open substrate

Built on the Standard Flowsheet Format

SFF is an open, non-proprietary JSON standard that represents process flowsheets as directed graphs: unit operations are nodes, process streams are edges, and rich data attaches to both.

It is the FAIR knowledge-base backbone of PISCES. Everything we extract, simulate, and design speaks the same machine-readable language, so it stays findable, interoperable, and reusable.

{
  "metadata": {
    "sff_version": "1.0",
    "source_document": "doi:10.1021/...",
    "extraction_date": "2024-07-29"
  },
  "units": [
    {
      "id": "unit_1",
      "type": "ChromatographyColumn",
      "label": "Protein A Column"
    },
    {
      "id": "unit_2",
      "type": "Tank",
      "label": "Elution Buffer Tank"
    }
  ],
  "streams": [
    {
      "id": "stream_1",
      "source": "unit_2",
      "destination": "unit_1",
      "label": "Elution Buffer"
    }
  ],
  "chemicals": [
    {
      "id": "chem_1",
      "name": "Tris-HCl",
      "role": "buffer"
    }
  ]
}

An end-to-end solution

Everything you need to import, manage, and analyze your process data in a secure and collaborative platform.

AI-powered extraction

Multimodal models read papers, figures, and spreadsheets and convert them into structured SFF, with a human reviewer in the loop.

FAIR knowledge base

A Findable, Accessible, Interoperable, and Reusable database of process flowsheets, openly available to the research community.

Private Workspaces

Organize flowsheets into a personal library and secure, shared workspaces, with collaboration and review built in.

Techno-economic and life-cycle assessmentComing soon

Quantify cost and environmental impact with transparent metrics traced to specific units and streams.

Process simulationComing soon

Run rigorous simulations directly from a harmonized flowsheet, without re-modeling in a separate tool.

Generative designComing soon

With a standardized database, Florence proposes candidate processes and optimizes existing ones from a plain-language brief.

Coming soon

Generative process design with Florence

Describe a process in natural language and Florence will help you build it unit by unit, stream by stream. Trained on our public flowsheet database, and equipped with domain expertise, Florence will help you go from idea to plausible design in minutes instead of months.

In development. Available to a limited set of users today.

Florencegenerative design preview
Florence, build an ethanol biorefinery.

One platform, infinite possibilities

PISCES re-defines the meaning of collaborative process design.