Project PISCES

Process Integration & Synthesis using Chemical Engineering Standards

The AI-native platform
for process data
integration.

PISCES harmonizes data from disparate sources into a powerful interface for collaborative process design.

Extract insights, explore trade-offs, and understand your data better with Florence, our highly intelligent engineering co-pilot.

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...

A growing public database

Our collection of public flowsheets is actively curated for quality and continuously expanding in coverage.

Public database

Explore diverse process designs

Browse, filter, and query flowsheets spanning fuels, chemicals, pharmaceuticals and food products. Every flowsheet is a structured, machine-readable graph you can view, analyze, and download, or copy into your personal library to iterate on.

Private workspaces

Your data, your team, your models

Keep proprietary process data in secure, private shared workspaces visible only to your team. Comment, collaborate, and track every revision, then train custom models on your data to get the most intelligence out of it.

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 own 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

Analysis grounded in the flowsheet

Techno-economic and life-cycle assessment computed directly from the process graph, so every cost, return, and impact metric traces back to a specific unit and stream. No disconnected spreadsheets.

$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 chemical-engineering reasoning to every corner of PISCES. She cites her sources, proposes design revisions, and works across the platform, with an ever-expanding set of tools and capabilities.

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"
    }
  ]
}

One platform, end to end

Everything you need to manage, question, and analyze process data, unified around one open standard.

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

The generative process design engine

Describe a process in plain language and Florence will assemble a candidate flowsheet, unit by unit and stream by stream. Trained on a standardized database, the design engine turns intent into a structured, simulate-ready starting point.

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

Florencegenerative design preview
Florence, build an ethanol biorefinery.

Get the most intelligence out of your process data

Harmonize your data into one standard, then put AI to work on it: surface insights for scale-up and ground every techno-economic and life-cycle decision in the real flowsheet.