
Ionworks builds battery simulation software that lets engineers create models from data and run large-scale cloud simulations.
Ionworks Studio is a web platform that turns battery cycler data into validated models, design sweeps, and engineering decisions for R&D teams. It ingests files from major cyclers such as Maccor, Neware, Novonix, Arbin, BioLogic, and BasyTec into a normalized, searchable system of record where every measurement stays linked to its cell, protocol, and experimental context.
The platform fits physics-based PyBaMM models to experimental data, runs protocol-driven simulations, and explores the design space across electrode thickness, porosity, loading, and charging strategy. A REST API and Python SDK expose the same surface to engineers and AI agents, and the company reports SOC 2 compliance for data handling.
The battery market underpins electrification across electric vehicles, grid storage, consumer electronics, and advanced air mobility, and Ionworks cites it as roughly 150 billion dollars today with projected growth toward 680 billion within a decade. That growth increases pressure on R&D teams to deliver higher energy and power density, faster charging, longer lifetimes, and better safety within compressed development cycles.
Physical testing is the bottleneck, with Ionworks estimating individual cell tests at up to 1000 dollars and two years each and full development cycles around 100 million dollars over five years. Simulation that replaces or compresses physical experiments is the opening the company targets, the same shift that computational fluid dynamics and computer-aided design brought to aerodynamics and structural engineering.
Ionworks was built by the creators and maintainers of PyBaMM, the most widely used open-source battery modeling library, giving the platform direct access to the electrochemical physics its competitors typically wrap with proprietary implementations. The product pairs validated electrochemical models with data-driven layers for degradation residuals, parameter drift, and formation effects, positioning physics with AI on top rather than physics or AI.
Reproducibility and coordination are first-class: parameterized models, protocols, and measurements are stored objects with provenance, so a study rerun months later uses the same inputs. The API-first design lets automated agents operate the full platform through the same interface a human engineer uses, which the company frames as an advantage over generic multiphysics tools that require specialist setup.
Ionworks is focused on cell-level electrochemical R&D, so teams that need 3D pack thermal analysis or structural simulation still require a separate multiphysics tool alongside it. That narrower physical scope is the main trade-off versus general-purpose multiphysics platforms such as Ansys, COMSOL, and Siemens that cover thermal, structural, and CFD in one ecosystem.
The product also has a smaller published application library than platforms with decade-plus histories, though the company notes the library is growing with each release. Battery-specific commercial tools like Gamma Technologies offer a cell-to-system bridge through GT-SUITE that Ionworks does not aim to replace at the vehicle and powertrain level.
Ionworks sells through a sales-led motion rather than public self-serve pricing, with a Book a demo call-to-action and a ROI calculator that frames simulation value against physical testing cost. The platform is positioned for battery and automotive R&D teams evaluating it as a replacement for costly experiments, with consulting engagements offered alongside the software for teams that need project-based parameterization, degradation, and optimization work.
The API-first design and Python SDK indicate a developer-oriented evaluation path alongside the browser GUI, and SOC 2 compliance supports enterprise procurement. No public per-seat or per-month price tiers are listed, consistent with an enterprise sales model scoped to each team's simulation volume and deployment.