Gradyent
Upgrade your grid to optimise, decarbonise and transform
Published Oct 15, 2026
| Starting Price | Not publicly listed | Not publicly listed | Not publicly listed |
| Typical use case | Utilities seeking a network-level digital twin that integrates production dispatch, distribution network modeling, and scenario simulation | Utilities seeking meter- and pipe-data analytics to improve network transparency and identify losses and bypasses | Operators seeking a digital twin for planning and operational optimization of district heating and cooling networks |
| Key strengths | Integration of production dispatch and network modeling; focus on near-real-time operational recommendations and market-aware dispatch narratives | Strong meter-driven analytics and diagnostics; established workflows for detecting inefficiencies | Digital twin positioning with services and project support for planning and operations |
| Key weaknesses | Limited independent product reviews in public sources; security certification details not publicly documented; deployments may be integration-heavy | May focus more on analytics than closed-loop dispatch optimization depending on deployment model | Geographical footprint and depth of real-time closed-loop control capabilities may vary by project |
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