Introducing: COMET Signals 2.0

Redefining artificial intelligence for HSEQ

Your data holds more than one story. COMET Signals reveals them all.
COMET Signals 2.0 turns the HSEQ data you already hold into a living intelligence engine, connecting questions to evidence, decisions to actions and actions to measurable outcomes.

What is COMET Signals?

COMET Signals closes the loop between what happens across your organisation and what leadership decides, across every risk register you run.

COMET Signals is our AI data analytics solution for high-risk operators. It is an intelligence layer that sits above the HSEQ systems you already run. Your incident system stays where it is, and so do your audit tools, inspection records and quality, environmental and risk registers. No migration, and no change to how your teams record their work.

Version 2.0 is a substantial evolution of it, built around four surfaces rather than one interface, a classification layer you configure yourself, and a confidence engine that scores the data going in and the answers coming out. Years of operational records become findings you can audit.

How it works

The signal that flags your next incident could already in your data. COMET Signals gives you the tools to find it.

Safety, quality, environmental, security and business risk. One body of evidence.

01 Ask Clarify the question and get a grounded, verified answer. 02 Discover Explore the aggregate evidence and drill into the events behind a number. 03 Decide and Act Pin the evidence, agree the actions, then give each one an owner, a date and a cost. 04 Track and re-ask Watch whether the indicator moved, then feed everything into the next question.

It closes the loop

The answer, the decision, the owned action and the measured proof are one continuous cycle. Most tools stop at the chart, leaving no structural link from insight to action to effect.

It abstains rather than guesses

A verifier agent checks every claim against the evidence before the answer reaches the screen. When something cannot be substantiated, the platform says so and explains why.

Configuration, not code

Classifiers, agents, glossary, dashboards, even your branding: your administrator changes any of it the same day, with no developer. Most tools ship fixed categories that wait on the next release.

Built for the security review

Azure-native, DPIA assessed and aligned to ISO 42001, with personal data redacted at ingestion and each tenant isolated at every layer.

One body of evidence, read by every discipline.

COMET Signals runs on your live data, so every answer reflects the current state of your operation. The next question anyone asks starts from everything the loop has already surfaced, whichever discipline raised it. Value builds as the loop closes, and closing it is what turns a finding into a change.

Others stop at the answer. We close the loop.

The challenge

Collecting the data was never the problem.

You have already done the hard part. COMET Signals 2.0 does the rest: questions anyone can ask, answers they can act on, and actions someone owns, whichever register the record came from.

A large operator can log hundreds of thousands of safety events a year across dozens of sites and contractors. Each one is a short narrative written by a frontline worker, a supervisor or a contractor. The same hazard gets described five different ways. The classification field is half empty. And the close call that matters most, the one that rhymes with last year's serious injury, could be one row among a million.

Then there is everything sitting outside the safety system:

  • The audit finding that flagged the same equipment eight months ago, logged by the quality team.

  • The environmental exceedance at the same site, in a different platform.

  • The contractor's own incident report, sent over as a spreadsheet.

Each was recorded properly by someone doing their job well, in a system built for their department and nobody else's.

No one is looking across all of it, because no one can.

The usual approaches fall short in ways you will recognise.

Approach

Why it falls short

01

Fixed-taxonomy dashboards

Force your operation into one vendor's categories, with no room for the risk language you actually use.

02

Keyword search and BI tools

Match words, not meaning, so the near miss described in unfamiliar terms goes unfound.

03

One system per department

Each register answers its own questions well and none of them answer yours. Nothing joins a safety event to the audit finding that preceded it.

04

Manual coding teams

Slow, costly, inconsistent between coders, and impossible to re-run when a definition changes.

05

Bolt-on AI features

No provenance, no abstention, no audit trail, which is why they fail the security review.

There is now a better way to do this.

COMET Signals works as an intelligence layer across the systems you already have, so the connections between them stop depending on someone spotting a link across a million records by hand.

The four surfaces, one body of evidence

Ask, Discover, Decide and Track.

Four surfaces, one continuous cycle. A question becomes an answer, an answer becomes a decision, a decision becomes an owned action, and the action gets measured. The next question then starts from everything the loop already surfaced.

01 ASK

Ask anything and get a validated answer every single time.

Anyone puts a question in plain language, whatever register it touches: how are exposures trending across depots this quarter, what near misses preceded last month's lifting incident, which supplier is behind the rise in nonconformances.

  • Ask a question about safety performance in natural language and get an answer checked against your records before it reaches the screen. If a claim does not hold up, you never see it.

  • When your records cannot answer the question, it says so and explains what is missing, rather than inventing a number.

  • Ships with the rates leaders already use, TRIR, LTIF, AFR, SIF rate, RIDDOR reportable rate and more, and you can add your own

  • Every answer shows the reasoning that produced it, so an investigator, an auditor or a regulator can follow how the conclusion was reached.

Most AI solutions guess. This one explains what's missing instead.

02 DISCOVER

Find the patterns hiding in plain sight.

See what is happening across every site, hazard and report, without building a single chart by hand. Dashboards are grids of widgets, each one a named query composed by an administrator without code or SQL.

  • See recurring causal factors and repeat failures across every site, hazard type and register, without building a single chart by hand.

  • Click any number to see the incidents, near misses, audit findings or non-conformances behind it, so you are never taking a total on trust.

  • Narrow the whole picture in a few clicks, from every event this quarter down to hand injuries at one site involving contractors.

  • When a trend is worth watching, put it under watch straight from the dashboard.

The connections were always in your data. Now they are in front of you.

03 DECIDE AND ACT

Decisions grounded in your data.

Decision Boards turn evidence into a decision the organisation stands behind. Insights from Ask or Discover pin to a board as a card holding the question, the query and a snapshot of the result.

  • Pin the evidence behind a decision so the reasoning is on record, not just the outcome, for when the decision is questioned months later.

  • A board in a monthly review shows the numbers as they stand today, never a stale snapshot from when the slide was made.

  • Actions arising from a review meeting are drafted for the owner to confirm, so nothing agreed in the room gets lost.

  • Every agreed action gets an owner, a target date and a cost, linked back to the evidence that raised it and forward to the measure that will test it.

  • Export the whole board, evidence and conclusions together, for formal circulation or a regulator.

Transparent AI. Prove how you decided, not just what.

04 TRACK AND RE-ASK

Always on watch, so you don't have to be.

Track answers the question every risk owner eventually gets asked: did what we agreed actually make a difference. It also watches forward. Set a number, a threshold and how often to check it, and Track is on watch from the moment that number starts drifting, catching it while it is still small.

  • Set the leading and lagging indicators that matter to you and get told the moment one starts moving, early enough to prevent the failure rather than investigate it afterwards.

  • An alert arrives with the likely cause beside it, without anyone having to remember to check, so you can act on it rather than start working out what it means.

  • A spike is shown against what was happening at the time, a shutdown, a shift change, a depot running short-staffed, so you are not guessing at the reason.

  • Compare the indicator before and after an action landed, with its cost beside it, so you can show whether the intervention worked.

Not just an alert. Proof. Did the action actually move the number?

Operational context, everywhere.

Shutdowns, upgrades, shift patterns, a depot running short-staffed for a fortnight. COMET Signals takes all of it in the same way it takes every other record, then puts it to work twice. Ask uses it when answering, so a question about last month knows what was happening last month. Track uses it to explain a spike, so a number that jumps arrives with the reason beside it. One version of the truth, read the same way by every surface.

The company behind it
COMET is already trusted by leading organisations worldwide.

COMET brings together HSE specialists, investigators, software engineers, data scientists and AI specialists, working across the UK and internationally.

800,000+
people protected by COMET software
190+
locations running COMET worldwide
400+ years
combined investigative expertise behind the COMET methodology
Find
recurring patterns
Reveal
hidden trends
Connect
contributing factors

The benefits

Risk does not wait, and neither should your answers.

Risk is spread across your business, with different people responsible for each part. Every one of them is working against the clock, and the queue is the same length whether the question is routine or the one that stops the next event.

COMET Signals ends the wait, on your own data, from your own screen, the same day.

01 / 06

See the loop close, end to end.

A live walkthrough of all four surfaces, following one real question from asked to proven.

The three convictions

Everything COMET Signals 2.0 does rests on three convictions.

01

Meaning, not just metrics

Reasoning runs through the whole platform, turning your data into questions you can ask and answers you can trust, rather than counts on a dashboard.

02

Configuration, not code

What you classify, the terms you reason about, the agents and skills built on them, are configuration an administrator controls, with no development project needed.

03

Confidence is a feature

Every answer shows its working: the quality of the data behind it, the confidence in the classification, and how reliable the result is. When the evidence is thin, the platform abstains rather than fabricates.

Registers and sectors

One pipeline, whichever discipline the record came from.

The record types a tenant ingests, and the taxonomies applied to them, are configuration. The same pipeline serves whichever registers an operator runs, without a separate build for each.

A hard hat and safety goggles resting on a steel beam, with a refinery lit at dusk behind

Safety

A coordinate measuring probe touching the blade of a machined turbine impeller

Quality

An aerial view of a forested loch at dawn with mist lying across the water

Environmental

A security camera mounted on the exterior wall of a building at dusk

Security

An empty boardroom high above a city skyline at sunset

Business risk

Built for high-risk operations

All high-risk sectors share a challenge. An event that looks minor on the day it is logged is the one that becomes an issue twelve months later, and the record that would have shown you sits in a different system, written by someone in a different team.

Rail & transport

Ports & maritime

Water & utilities

Energy, including upstream

Construction

Airports

Why COMET Signals

Confidence, engineered in.

Configurable to the language and risk model you already use, transparent about how far each answer can be trusted, and built to clear the security review before it starts.

It abstains rather than guesses.

The rare AI that says “I can’t answer that from your data” instead of inventing one.

Every reasoning step is audited.

Every number traces to a named query. Every prompt is versioned.

Personal data is redacted at the door and never re-enters.

Site names are kept, because they are operational signal.

Each tenant is isolated at every layer.

Separate databases, search indexes and queues, bound at the platform layer.

Classifiers, agents, skills and dashboards are configuration.

An administrator changes them the same day.

One engine, any taxonomy you write.

Your own definitions run through the same pipeline as the built-in ones, and re-classifying your full history is a routine job rather than a migration.

Privacy and isolation as architecture.

Azure-native, DPIA assessed, aligned to ISO 42001.

For your IT and security team.

The security and trust one-pager covers data handling, isolation, redaction and governance in the form they will ask for it, so the review starts with the answers rather than the questions.

Get the security one-pager

COMET Signals 2.0 is built and available now.

Implementation in days, not months.

A new taxonomy, a new agent, a new analytical skill or a new dashboard does not require a deployment. New customers and existing ones start the same way.

See COMET Signals 2.0 in action

If you are looking to turn your QHSE data into decisions you can act on but are not sure where to begin, get in touch. We would love to hear about your organisation and show you what COMET Signals 2.0 can do.

Gold MacBook Air displaying digital waves with a central 'BOOK NOW' button on the screen.
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Frequently asked questions

Everything you need to know about COMET Signals 2.0.

What is EHS or HSEQ AI?

What makes COMET Signals 2.0 different from other AI in the HSEQ market?

How does COMET Signals make AI answers trustworthy?

How can AI improve reporting in HSEQ programmes?

How is COMET Signals 2.0 different from the HSEQ dashboards we already have?

Can AI help reduce compliance administration for HSEQ teams?

Can AI identify operational risks faster than traditional HSEQ processes?

Does COMET Signals 2.0 replace our existing HSEQ systems?

Can COMET Signals 2.0 work with our own HSEQ taxonomy and terminology?

Is our HSEQ data secure in COMET Signals 2.0?

Can frontline teams use COMET Signals 2.0 without being data analysts?

Does COMET Signals replace our analysts?

Can COMET Signals 2.0 show whether an intervention actually worked?

Does COMET Signals only work with safety data?

What is the difference between COMET Signals 2.0 and the COMET AI Assistant?

Can COMET Signals 2.0 handle years of historical HSEQ data?

How do I know if my organisation is ready for an AI-native HSEQ platform?