About

About Alfa HazardX

Alfa HazardX is an industrial hazard-monitoring project founded and invented by Agresh Agrawal, based in Indore, India. It builds a single rugged node that watches eleven hazard-sensing channels at once, decides risk deterministically on the device so the alarm never depends on a network, and uses a generative model strictly to explain what the deterministic layer has already decided. It is the deployable V2 field node.

Alfa HazardX is a deployable V2 field node. It is not a certified industrial safety product, and nothing on this page should be read as a certification claim.

The Alfa HazardX platform: the field node alongside the operator dashboard it streams to.
The two halves of the system - the node that senses and decides on the factory floor, and the dashboard where the people who can act on it watch.

The problem it exists for

Industrial safety instrumentation is solved for plants that can afford it. A refinery specifies certified point detectors, wires them into an instrumented safety system, and maintains a calibration regime. The cost of that is measured in lakhs per installation and it buys real protection.

Below that line sits an enormous number of small and mid-sized manufacturing units where the hazards are entirely real - solvent vapour, LPG, dust, overheating machines, electrical fires - and the budget for that answer does not exist. What those plants typically have instead is a smoke detector, a fire extinguisher and the attention of whoever happens to be on shift.

Alfa HazardX is aimed squarely at that gap: one affordable node covering many hazards at once, with the intelligence in software rather than in eleven separate certified instruments.

What is different about the approach

Three decisions define the system. Sensors are fused rather than read independently, so a hazard signature spanning several channels - heat with a vibration change and a sound change, which is a machine failing - is visible in a way no single-channel detector will ever report.

Risk is decided deterministically, on the device. Threshold evaluation, the display and the buzzer all run on the node itself, which means a network outage costs dashboard visibility and analysis, not the alarm.

And the generative layer is constrained on purpose. It explains and recommends; it never controls actuation. A language model can be unreachable, expensive and confidently wrong, and any one of those disqualifies it from deciding whether a buzzer sounds.

Who and where

Everything below is checkable. There are no offices this project does not have and no team it does not employ; what follows is the whole of the identity behind the site.

  • Founded and led by Agresh Agrawal, founder and inventor
  • Based in Indore, Madhya Pradesh, India
  • Patent application 202641098309, filed 13 August 2026 at The Patent Office, Chennai
  • Enquiries and legal notices: agresh@agreshagrawal.com
  • Stage: v2 field node — deployable — not a certified life-safety instrument

Testing and validation

What has been done: both node generations have been run continuously on the bench and in a working plant, streaming to the live platform. Threshold evaluation, the on-device alarm path, the ingest pipeline, the prediction engine and the remote command path have all been exercised against real sensor output rather than simulated data. The gas channels have been function-tested — that is, deliberately triggered with a known source and observed to respond and recover.

What has NOT been done, stated with the same plainness: there is no traceable calibration against certified reference gas concentrations, no measured false-alarm or missed-detection rate, no third-party test report, and no environmental or EMC qualification. A function test proves a channel is alive and directionally correct. It does not produce an accuracy figure, and this site publishes no accuracy figure for that reason.

Where the project is

The hardware exists and runs. Two node generations have been built - a v1 reference build and a fabricated v2 board - along with the cloud ingest path, a realtime operator dashboard, deterministic prediction, cost-gated AI analysis and a remote emergency command path.

What is not done: traceable gas calibration, measured false-alarm rates, a production-hardened enclosure, and any certification. Those are stated in full on the current status page rather than left for a buyer to discover.

The invention

The method is the subject of Indian patent application 202641098309, filed at The Patent Office, Chennai on 13 August 2026 as an ordinary application with a complete specification. The application was published on 21 August 2026 under Section 11A.

How this project talks about itself

There are no customer logos, testimonials, installation counts or accuracy percentages anywhere on this site, because there are none to report. Every technical claim here is traceable to hardware that exists or code in the repository, and the gaps are published alongside the capabilities.

For a safety product that is not a modesty pose - it is the only position that survives contact with a technical buyer.