Jasper provides a browser‑based design and simulation platform for chemical engineers, enabling users to build and run flowsheets visually with over 30 unit operations. The tool offers AI‑driven assistance and generates Python code that matches the graphical model, streamlining the transition from concept to simulation for students and researchers.
Funding
Funding not disclosed
Founders
Product
Problem
Designing and simulating chemical processes traditionally requires installing heavyweight desktop software, managing complex thermodynamic libraries, and rebuilding models when switching between rapid prototyping and rigorous analysis. This creates steep learning curves, limits accessibility for students and small teams, and slows iteration cycles.
Solution
Jasper delivers a browser‑based platform that lets chemical engineers construct complete flowsheets with drag‑and‑drop unit operations and instantly run simulations. The tool offers two interchangeable simulation engines—a fast in‑browser TypeScript solver for quick checks and a rigorous DWSIM‑based engine for detailed, industry‑grade analysis—so users can switch modes without rebuilding models. An AI‑driven agent can translate plain‑English process descriptions into fully configured flowsheets and launch optimization runs using an equation‑oriented backend. Results, including material and energy balances, equipment sizing, and preliminary capital cost estimates, are presented in an intuitive web interface and can be exported as Python code for further customization.
Target Audience
Primary users are chemical engineering students, academic researchers, and small‑to‑mid‑size process development teams that need fast, accessible simulation and optimization tools without investing in traditional desktop packages.
Features
- Visual editor with 30+ unit operations (mixers, reactors, separators, heat exchangers, etc.) and keyboard shortcuts for rapid layout
- Dual simulation engines: a lightweight Quick mode for instant feedback and a Rigorous DWSIM‑wrapped mode for comprehensive thermodynamics and unit‑op coverage
- AI Jasper Agent that converts natural‑language process descriptions into executable flowsheets and initiates optimization via an IDAES‑PSE backend
- Automatic calculation of material balances, energy balances, phase equilibria, equipment sizing, and order‑of‑magnitude capital costs
- Code‑parity export to Python, enabling seamless integration with custom scripts and external analysis tools
- Open‑source MIT‑licensed core with a ~500‑compound thermodynamic database and support for advanced models (PR, SRK, NRTL, UNIQUAC, etc.)