In-house development of AI-enabled computational fluid dynamics 3D software to conduct process safety studies to cater to global process safety requirements.
Our flagship offering within INDRAXuite, the proprietary suite of ‘Made in India’ digital safety solutions.
AgniKawach:India’s first indigenous AI enabled CFD modelling safety solution
As India transitions toward sustainable and secure energy systems, AGNI KAWACH* will reduce dependence on costly imported safety software and strengthen national selfreliance in critical safety technologies. Designed for use across hydrogen infrastructure, oil & gas facilities, petrochemical plants, nuclear installations, and key defence establishments, it simulates gas dispersion, fire, and explosion scenarios within a single integrated platform. It is a national safety asset poised to position India at the forefront
of global industrial safety innovation.
Indigenously developed CFD-based safety consequence analysis platform
Tailored for industrial & clean energy sectors
Assesses leaks, fires, toxic releases, vapour cloud explosions, BLEVE fireballs
Realistic modeling with plant geometries & weather conditions
India lacks an indigenous software platform for consequence analysis in process safety despite its scale and complexity of industrial and energy infrastructure. Industry and regulators therefore rely heavily on imported tools such as DNV PHAST, Gexcon FLACS, Ansys CFD solvers, Shell FRED, and similar systems. While these platforms have supported risk assessment globally, they present significant limitations when applied to Indian operating conditions and regulatory contexts.
High Licensing Cost
Global CFD and risk software carries a high annual per-user cost ($65K–70K) making it unaffordable for most Indian users.
Limited Adoption
Due to cost and complexity, advanced tools are often used only by large corporations or elite consultants.
Exclusion of Smaller Players
MSMEs, hydrogen plants, and biofuel units often overlook detailed modelling, which heightens their vulnerability to accidents
Usage Restrictions
Export-control rules restrict or delay access, more so in sensitive sectors like defence, nuclear, and energy. FLACS is also restricted to government bodies like DRDO and EIL
Not Designed for Indian Conditions
Lacks consideration of diverse seasons (rain, winter, summer) and demographic variations critical for accurate regional applicability
Need for Self-Reliance
Affordable, locally tailored solutions that expand access, enhance safety, and strengthen the local industrial ecosystem
An Indian AI-based consequence modelling platform is crucial for Aatmanirbhar Bharat and Viksit Bharat. It reduces reliance on imports and secures sovereign capability in industrial safety, mirroring India’s success in defence and space.
Features
- Dedicated modules for hydrogen, ammonia, LNG, CO₂, biogas
- Captures critical properties (e.g. hydrogen’s flame speed, negative Joule–Thomson effect)
- AI-driven surrogate models 10–15× faster simulations
- Supports real-time hazard forecasting & detailed design studies
- User-friendly interface: CAD import, scenario definition, visualisation
- Automated compliance reporting aligned with PESO, OISD, MSIHC standards
- GPU-accelerated solvers RANS & LES methods, reduced runtime
- Validated against global benchmarks
Core Capability
Agni Kawach is built on Porosity/ Distributed Resistance (PDR) modelling, a globally proven methodology for dispersion and explosion analysis, adapted into an indigenous software architecture optimised for hydrogen and flammable gas safety applications.
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