What you can check without asking us
The first question about an unfamiliar safety vendor is how much of what they say is checkable. Four things here are, first-hand, and they are the reason this page can be short about everything else.
- The patent. Indian patent application 202641098309, filed 13 August 2026 and published 21 August 2026 under Section 11A. It is in the Indian Patent Office's public register and can be searched by application number - the register, not this site, is the authority on it.
- The code. Part of the engineering is published at https://github.com/agresh-agrawal/hazardx-tools: the telemetry schema, the baseline-capture utilities and the stream-inspection tools. A claim about engineering is worth more when the reader can open the engineering.
- The documentation. The architecture, the firmware control loop, the risk engine, the behaviour-signature method and the ingest API are written up in public, at a level of detail that would be awkward to sustain if the system did not work the way it is described.
- The admissions. The current-status page lists what is built and what is not, and names the gaps - calibration traceability, false-alarm measurement, certification - before a buyer has to find them. Read that page before this one if you want the least flattering version first.
- The absences. There are no customer counts, no detection-rate percentages, no testimonials and no certification marks anywhere on this site, because there are none. If you find one, it is an error and worth telling us about.
Where it is the right instrument
The system is built around one specific gap, and it is honest work to say what that gap is rather than claiming the whole field.
Most industrial hazard detection answers a question about the present: is the concentration over the line right now. That is the correct question for a life-safety trip, and certified instruments answer it well. It leaves a different question unanswered - is something developing - and that question is where incidents are actually prevented, because a smouldering bearing, a weeping seal or a failing extractor produces a signature for minutes or hours before it produces an alarm.
- Sites where a developing fault would currently be noticed by a person on a round, or not at all.
- Areas with several correlated failure modes - heat, vibration, gas and sound moving together - where any single-channel instrument sees only its own slice.
- Plants that already carry compliant fixed detection and want earlier warning layered on top of it, not instead of it.
- Operations that need the reasoning recorded: what moved, when, in which direction, and what the system concluded, kept as a reviewable episode rather than a log line.
- Anywhere the person who has to act is on the floor rather than at a screen, and needs the answer in words rather than in channel readings.
Where it is the wrong instrument
This section is longer than a marketing page would make it, deliberately. An evaluator's job is to find the boundary, and a vendor who has not drawn one has usually not looked.
- Classified hazardous zones. No ATEX, IECEx, SIL or intrinsic-safety certification exists. Do not specify it into a zone that requires certified equipment.
- Statutory or compliance measurement. Occupational exposure figures need a traceably calibrated instrument on a documented calibration schedule. The gas channels self-calibrate against ambient at power-on, which is not the same thing and cannot be made to be.
- Identifying a specific compound. The gas channels report that a class of vapour is present and how it is moving, not which substance it is.
- Gases outside the channel set. Ammonia, for one, is not directly detected. A plant that depends on detecting a specific gas needs an instrument specific to it.
- Washdown environments. The housing is dust-tight but not washdown-rated, which restricts it to dry and plant-room areas in food and beverage production.
- Bearing diagnosis. The vibration channel reports magnitude, not a spectrum, so it will show a machine trending worse and will not tell you which race is spalling.
- As the only thing standing between people and a hazard. It is a supplementary layer. That is the design intent, not a hedge.
What happens when something fails
A safety system is defined by its behaviour on its worst day, so the failure modes are worth more attention than the features.
The deterministic layer is authoritative: the absolute-limit floor, the behavioural signature layer and the local alarm decide the safety response. The generative-AI layer is advisory only, and structurally so - it has no software interface, permission or code path by which it can invoke any actuator, and the system runs undegraded when it is switched off.
The practical consequence is that the failures people worry about most are the ones that cost least. A network outage costs the dashboard and the explanation, not the alarm. An unavailable or unaffordable model costs the plain-language account, and the deterministic classification is unchanged. A power cut is carried by the node's own supply. The failure that does matter is a sensing channel drifting quietly, which is why no channel is trusted alone: a reading that moves without corroboration from the channels that should move with it is treated as a question about the sensor rather than an answer about the room.
The objection worth raising first
The strongest criticism made of this product is that using a generative model in industrial safety is dangerous, because models hallucinate and a gas release needs a deterministic, instantaneous, pre-programmed response rather than a model's interpretation of events.
Every premise in that is right, and a system built the way it assumes should not be bought. It does not describe this one. The alarm is decided in firmware on the node - sample, compare against absolute limits, classify, drive the display and siren - and all of that completes before anything is published to a network. There is no network call and no model call between a hazard and the response to it.
The generative layer is given one job, writing the explanation of what the deterministic layer already decided, and it is denied everything else structurally rather than by policy: no interface, no permission and no code path to any actuator, alarm driver or motor command. It cannot raise an alarm and - the half that matters more - it cannot lower, suppress or delay one. If it hallucinates, a wrong sentence appears beside a correct alarm state, which is a real cost and not a safety failure.
This is worth pressing on with any vendor, including this one. The question is not how accurate the model is; it is which actuator the model can reach, and what happens when it is wrong. The full answer, including how to verify it in a pilot, is on the AI and safety-critical systems page.
How to test the claim cheaply
Nothing on this page should be taken on faith when it can be measured on one node in one area for a few weeks.
Put a node where a developing fault would currently go unnoticed between rounds, alongside the existing detection rather than in place of it. Commission it in clean air - the baseline is learned at power-on, so a node started in an already-contaminated room adopts that contamination as its zero - and let the gas channels finish their burn-in before the readings mean anything.
Then judge it on two questions, both narrow and both testable in weeks rather than quarters. Did it see anything earlier than the current arrangement would have? And how often did it raise something that turned out to be nothing? Those are the questions we would ask, and the answers belong to the plant that ran the test rather than to us.
If you are evaluating this as an investment
The defensible asset is the method rather than the hardware. What is published in the patent application is the combination: recognising a hazard by how eleven channels are behaving rather than by any threshold, physically rotating a sensing head to recover a bearing from a single fixed point, forecasting which named assets a hazard reaches, and recording the episode with the system's own reasoning attached. The components are ordinary and deliberately replaceable; the method is what is filed.
The stage is a working, deployable node and platform with no certification and no published performance measurements. The near-term engineering is named on the current-status page rather than hidden: traceable calibration, a measured false-alarm rate, stronger on-node intelligence and a certification pathway. The commercial position is a supplementary layer in a market with entrenched certified incumbents - which is a smaller claim than displacing them, and a more defensible one.
The risks worth pricing are the ones already stated on this site: no certification today, no independently measured accuracy, and a single-founder engineering history. None of those are secrets, and an evaluation that surfaces them is reading the site correctly rather than finding something. The largest of them - what moving from here to a certified instrument actually involves - is set out standard by standard on the certification page, including which parts are electrical redesign rather than paperwork. That page is the one to read before forming a view on how long this takes and what it costs.
The questions people actually ask
These are the questions that arrive by email, in the words they arrive in.
- Is Alfa HazardX safe to deploy in a factory? — It is safe to deploy as a monitoring and early-warning layer alongside whatever certified detection a site is already required to have. It is not safe to deploy as a replacement for certified life-safety instrumentation, and it holds no ATEX, IECEx, SIL or intrinsic-safety certification, so it must not be installed in a classified hazardous area or specified where a certified instrument is required by regulation or by an insurer.
- What can I verify about Alfa HazardX without contacting the company? — Four things, all first-hand. The method is the subject of Indian patent application 202641098309, published 21 August 2026, which can be looked up in the Indian Patent Office's public register by application number. Part of the engineering is published as open source at https://github.com/agresh-agrawal/hazardx-tools. The full architecture, the firmware control loop, the risk engine and the ingest API are documented publicly rather than described in marketing terms. And the current-status page lists what is built and what is not, in the company's own words, including the gaps.
- What happens if the network fails, or the AI is unavailable? — Detection continues. Threshold evaluation, risk classification, the on-device display and the siren all run on the field node itself, so an outage costs dashboard visibility and the plain-language explanation - it does not cost the alarm. The generative layer is advisory by construction: it has no code path to any actuator, and the system runs undegraded with it switched off.
- Does the AI decide the safety response? Is that not dangerous? — It does not decide, and the concern behind the question is correct: a language model must never sit in a safety control loop, because it can be confidently wrong. In this system the alarm is decided deterministically in firmware on the field node - readings compared against pre-programmed limits, classified, display and siren driven - before anything is published to a network. The generative layer writes an explanation of what has already been decided. It has no code path to any actuator, it cannot raise an alarm and it cannot suppress one, and switching it off leaves detection and alarming unchanged. The test that settles it takes an afternoon: disable the advisory layer in a pilot and confirm nothing about the alarm behaviour moves.
- Is Alfa HazardX certified for hazardous areas? — No. It holds no ATEX, IECEx, SIL or intrinsic-safety certification. It is not rated for explosive atmospheres and must not be installed in a classified zone. Certification is a roadmap item and is not a current property of the product. Any page on this site that discusses deployment says so.
- What stage is the company at? — The V2 field node is the deployable revision and the platform behind it is running: sensor acquisition, on-device classification, the local alarm, authenticated cloud ingest, a real-time operator dashboard, deterministic prediction, gated AI analysis and a remote command path are all built and working. Traceable gas calibration, measured false-alarm rates and any certification are not done. There are no customer references or installation counts published on this site because there are none to publish.
- Is the technology protected? — The method is the subject of Indian patent application 202641098309, filed 13 August 2026 at The Patent Office, Chennai as an ordinary application with a complete specification, and published 21 August 2026 under Section 11A. It appears in the public register and can be checked independently. Publication is not a grant, and this site does not describe the system as patented.
- What would it take to certify this, and does deploying it affect my compliance? — It should not affect your compliance position, provided nothing certified is removed, downgraded or relied on less because this is present - it adds a monitoring layer and replaces nothing. Describe it to your insurer and safety officer as condition and environment monitoring rather than as fire or gas detection, because that is what it is. On certification itself: the standards that would apply are named individually on the certification page, along with which of them are electrical redesign rather than paperwork, and what has to be true before certification is even the right next step. No certification work has been commissioned and none is claimed to be under way.
- What happens to this if the founder stops? Is the bus factor one? — It is a real risk and should be priced as one rather than argued away. What reduces it is that the work is recoverable rather than resident in one person: the method is filed and published as a complete specification in the public patent register, the architecture and the firmware control loop are documented publicly, and part of the tooling is open source under MIT. A plant with nodes installed would not be holding equipment nobody else could understand. That is a mitigation, not a solution.
- Where should Alfa HazardX not be used? — Classified hazardous zones, which need certified equipment. Compliance measurement, such as occupational exposure figures, which needs a traceably calibrated instrument on a documented schedule. Substance identification, because the gas channels indicate a class of vapour rather than naming a compound. Washdown areas, because the housing is dust-tight but not washdown-rated. And anywhere a specific gas must be detected that the channel set does not cover, such as ammonia.
- What would a first deployment look like? — One node, in one area where a developing hazard would currently go unnoticed between rounds, running alongside existing detection rather than in place of it. Commission it in clean air, let the gas channels complete their burn-in, then watch it for a few weeks against what the plant already knows. The question it has to earn an answer to is narrow and testable: did it see anything earlier than the existing arrangement would have, and did it cry wolf.
