Agnikawach Safety Solutions Pvt Ltd, headquartered in New Delhi, has launched Agni Kawach on 31 August 2026. It is described as India’s first indigenously developed AI integrated process safety and consequence modelling platform. The platform brings artificial intelligence, high speed computing and risk modelling together to predict eight major industrial hazards before accidents happen.
What Is Agni Kawach?
Agni Kawach means a shield of fire. It is a software platform developed by Agnikawach Safety Solutions Pvt Ltd, a company incorporated in June 2026 and led by founder Dr J. P. Gupta. The company presents it as India’s first home grown AI integrated process safety platform with 100 percent Indian intellectual property.
Process safety means keeping factories, refineries and chemical plants safe from fires, blasts and gas leaks. Consequence modelling means using computers to predict what will happen if fuel leaks, catches fire or explodes. It shows how far heat will travel, how gas will spread in air and which buildings or people will be affected.
Agni Kawach combines five tools on one cloud based system. These are artificial intelligence for faster decisions, GPU native computing for high speed calculation, adaptive mesh CFD for detailed flow simulation, cloud delivery for easy access from any location, and risk modelling for safety planning. CFD stands for Computational Fluid Dynamics, a method that uses maths to study how liquids and gases move, mix and burn. A GPU stands for Graphics Processing Unit, a special chip that can do thousands of calculations at the same time, which makes complex safety simulations much faster.
Eight Major Industrial Hazards Covered by the Platform
Industrial safety in India mainly deals with physical hazards in factories that handle fuels, gases and chemicals. Workplace safety means protecting workers from injury, illness and death while they are on duty. Agni Kawach is designed to model eight such hazards in a single workflow, while imported tools often need separate and costly modules for each hazard.
The table below explains the eight hazards in simple terms.
| Hazard | What It Means in Simple Terms |
|---|---|
| Jet fire | A long flame that shoots out like a blowtorch when pressurised gas leaks and catches fire |
| Pool fire | A fire that burns above a pool of spilled liquid fuel, such as oil or LNG |
| Flash fire | A sudden fire that sweeps quickly through a cloud of leaked gas and then dies out |
| Explosion | A sudden blast that creates high pressure waves which can damage buildings and injure people |
| BLEVE and fireball | BLEVE stands for Boiling Liquid Expanding Vapour Explosion. It happens when a tank holding liquid gas under pressure fails in a fire, causing a violent blast and a large ball of fire |
| Toxic dispersion | Spread of poisonous gases in air after a leak, which can harm workers and nearby residents |
| Cryogenic release | Leak of extremely cold liquids such as liquid hydrogen or LNG, which can cause burns and make steel brittle |
| Structural domino effect | A chain reaction where one fire or blast damages nearby equipment and starts new accidents |
This unified coverage is important because one small leak can turn into several of these events one after another. For example, a gas leak can first cause toxic spread, then a flash fire and then a blast that damages nearby tanks.
How Agni Kawach Works: AI, CFD and Cloud Architecture
Agni Kawach is built to help engineers simulate a hazard before it happens in real life. An engineer can feed details of the plant layout, fuel type, storage pressure and weather into the system. The system then predicts the size of the fire, the area affected by heat, the path of gas spread and the safe distance for workers.
The speed comes from GPU native computing with adaptive mesh refinement. In CFD simulation, the area around a plant is divided into tiny boxes called a mesh, and calculations are done for each box. Adaptive mesh means the computer uses very small boxes only in critical areas like the flame or leak point, and larger boxes elsewhere. This saves time and computing cost while keeping high accuracy where it matters most.
The AI assisted workflow helps engineers set up cases faster, check results and spot risks early. The cloud first design means users do not need costly computers in their office. They can run simulations through the internet, which makes the tool affordable for small companies, colleges and consultants. The company also promises open validation and verification, which means test results will be compared with standard benchmark cases so users can trust the output.
Why India Needed an Indigenous Safety Platform
India has a large base of hazardous industries, including refineries, fertiliser units, petrochemical complexes, oil and gas terminals, nuclear plants and defence facilities. These units are governed by safety laws such as the Factories Act, 1948, which was enacted on 23 September 1948 and came into force on 1 April 1949. The Act contains special provisions for hazardous processes and requires disclosure of risks, safety officers and health surveys. New fuels such as green hydrogen, ammonia and bioenergy add fresh risks because they catch fire easily, leak fast and need new safety standards.
Till now, most Indian companies depended on costly imported consequence modelling software. These foreign tools come with high licence fees, renewal charges and restrictions on use. Many small and medium enterprises and academic labs could not afford them, so they used manual calculations or simple formulas. This created gaps in safety design, emergency planning and regulatory checks.
Agni Kawach aims to close this gap with fully Indian technology, cloud access and lower cost. The goal is aligned with Make in India and the vision of Viksit Bharat by 2047, which calls for self reliance in critical technologies. Instead of only importing safety software, India wants to build and later export world class safety technology.
Where Agni Kawach Will Be Used
Agni Kawach is designed as a scalable technology product, not as a one time consulting service. It can be used across green hydrogen plants, ammonia units, oil and gas fields, LNG terminals, offshore and onshore platforms, natural gas networks, petrochemicals, chemicals, refineries, fertilisers, bioenergy units, energy storage systems, nuclear facilities, defence installations and aviation fuel farms. LNG stands for Liquefied Natural Gas, which is natural gas cooled to liquid form for easy transport and storage.
The platform is meant for many types of users. Industries can use it to design safer plants and test what happens during leaks. Regulators can use it to check safety reports and approve projects. Universities and research labs can use it for training and study. Micro, small and medium enterprises can get access to advanced tools without buying costly systems. Emergency response teams can plan evacuation routes and fire fighting steps. Insurance and finance firms can assess risk before funding a hazardous project.
What TRL-5 Status Means for the Prototype
TRL stands for Technology Readiness Level. It is a nine level scale first developed by NASA, the National Aeronautics and Space Administration of the United States, to measure how mature a technology is. TRL-1 means basic ideas have been observed, while TRL-9 means the final system is proven in daily use. In India, the Office of the Principal Scientific Adviser is working on a national TRL assessment framework to bring uniformity in measuring research across missions.
TRL-5 means the technology has been validated in a relevant environment. In simple terms, the core parts have been joined together and tested in conditions that closely match real use, not just in a simple lab test. Agni Kawach has reached this stage with a working GPU native adaptive mesh CFD prototype. The company states that the prototype has been checked against benchmark cases, which are standard test problems used across the industry to confirm accuracy.
This stage is important because it marks the shift from research to development. The product is not yet fully commercial, but it has crossed proof of concept and is ready for more detailed trials, pilot use and scale up to higher levels like TRL-6 and TRL-7, where full system demonstration takes place.
The Way Forward: From Safety Software to Safety Infrastructure
The long term aim of Agni Kawach is to change industrial safety from a costly specialist service into an accessible national capability. The company calls this the Safer India Mission. It wants world class safety modelling to reach every engineer’s desk through affordable cloud access.
The next steps involve completing pilot trials, improving AI models with more plant data and building links between industry, universities, regulators and emergency agencies on one common platform. If the scale up succeeds, the tool can support safer rollout of green hydrogen, LNG expansion, petrochemical growth and energy storage, which are central to India’s future energy mix. The team includes experts in process safety, CFD, hydrogen safety and AI, along with advisers from government, public sector units and research bodies, which will help in wider acceptance and use.
Key Takeaways
- Agni Kawach was launched on 31 August 2026 by Agnikawach Safety Solutions Pvt Ltd as India’s first indigenous AI integrated process safety platform.
- The platform covers 8 major industrial hazards, including jet fire, pool fire, flash fire, explosions, BLEVE, toxic dispersion, cryogenic releases and domino effects.
- BLEVE stands for Boiling Liquid Expanding Vapour Explosion, a violent blast from a pressurised liquid gas tank failing in fire.
- The prototype has reached TRL-5, which means technology validated in a relevant environment on the nine level Technology Readiness Level scale.
- CFD stands for Computational Fluid Dynamics and LNG stands for Liquefied Natural Gas, both central to Agni Kawach’s applications across hydrogen, oil, gas and chemical industries.
