Diwo
CatalystManufacturingHealthcare

Safety Compliance and Risk Mitigation

Before a fall-protection task on the derrick, a rig worker flips through the binder strapped to his truck, then thumbs through two safety PDFs on a cracked tablet looking for the right harness spec for this job and today's weather.

Ranked in dollars
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What-if validation
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Push to ops
01The Problem

Today’s workflow is the bottleneck.

Before a fall-protection task on the derrick, a rig worker flips through the binder strapped to his truck, then thumbs through two safety PDFs on a cracked tablet looking for the right harness spec for this job and today's weather. His supervisor, two levels up, is trying to reconcile real-time operational data with policy documents that live in a different system entirely. The longer either of them takes, the more tempting it is to skip a step. That's how incidents happen.
The status quo· typical decision cycle
signal decays
  1. Signal captured
    Models score. Data is fresh.
    Day 1
  2. Dashboard built
    Analyst pulls CSVs, joins sources
    Day 2–3
  3. Review meeting
    Stakeholders ask for context, re-pull
    Day 4
  4. Window has closed
    Signal stale, action wasted
    Day 5+
By the time the action is ready, the window has closed.
5 days between signal and action. The data science team did their job. The operator is still waiting.
02The Approach

How Catalyst handles it.

Catalyst doesn't replace the safety binder with a better PDF viewer. It gives each user type — worker, supervisor, manager — an on-demand interface to health, safety, and security information tailored to their role. A worker can ask which PPE is required for this job type and condition, confirm policy adherence details, and query safety content in natural language right at the task. A Semantic Knowledge Graph ties policy nuance to operational data, combining structured and unstructured sources inside a secure, scalable environment. The system learns from each interaction, so the recommendation for the next crew facing the same conditions gets sharper. The worker stops hunting; the supervisor gets a defensible answer.
Catalyst · Conversation
A
What safety policy applies to this fall-protection task in today's conditions?
Catalyst · 320ms · sources: 4
Here’s what I found — three drivers explain most of the signal, and I’ve ranked them by impact.
RECOMMENDATION
Take action on the top-ranked driver first.
Expected lift: +18.0% · next sprint.
See this live

Watch Catalyst solve safety compliance and risk mitigation on your manufacturing stack.

45-minute working demo. Your data, your question, a real answer — not a pre-recorded walkthrough.

03Ask

Questions you can ask.

Every case ships with a set of high-leverage prompts — the shortlist operators reach for every week. Here are the ones we see working for safety compliance and risk mitigation.
Anchor question
01 · start here
What safety policy applies to this fall-protection task in today's conditions?
02
Which PPE and equipment are required for this specific job type on this rig?
03
Am I compliant with current policy adherence requirements before I start?
04
What incidents or near-misses have been logged against this operation?
05
Which rigs or crews are sitting at the highest compliance risk right now?
06
What's the recommended next action to mitigate the risk I'm looking at?
See it on your data

Bring a real Manufacturing question. We’ll show you the decision.

We’ll run Catalystagainst a slice of your own data during the demo — no slideware, no prerecorded mock. You leave with a working decision and a line of sight to the next one.