EHS Intelligence
A clearer picture of the risks hiding in your incident data.
A clearer picture of the risks hiding in your incident data.
Incident narratives contain signals that standard reporting categories often miss. We turn unstructured incidents, near misses, observations, and corrective actions into a consistent intelligence layer that your EHS team can interrogate and validate.
What you receive
- Structured hazard and contributing-factor extraction
- Recurring incident themes and high-potential near-miss trends
- Site-level risk analysis and corrective-action insights
- Validated findings reviewed with your EHS team
What we work with
- Incident and near-miss narratives, including existing classifications
- Safety observations and corrective-action histories
- Site, activity, date, and operational context where available
A good fit: EHS teams with historical incident records across multiple sites, inconsistent classifications, or recurring events that are difficult to explain.
How the work comes together
Review a representative dataset and agree the hazard taxonomy with your team.
Extract hazards, activities, potential severity, and contributing factors from narrative text.
Cluster recurring themes and compare patterns by site, process, and time period.
Validate a sample with EHS professionals and present priorities for investigation.
Find the story behind a loading-dock near miss
The starting point
“Employee was unloading a pallet when a forklift entered the loading zone. Employee moved backwards and slipped near the dock plate.”
The decision-support output
- Hazard: mobile equipment
- Activity: material handling
- Potential severity: high
- Contributing factor: pedestrian/forklift interaction
- Recommended investigation: traffic controls
Expert judgment stays central.
AI-generated classifications and severity estimates are decision support, not investigation findings. Your team validates the outputs and determines corrective actions.
Start with evidence, not a large commitment.
A workflow audit maps the opportunity in about a week. A known workflow can then go to a pilot and a first system. Vision, predictive models, and multi-site work are scoped after a sample review.
View packages and investment rangesStart with the right question.
Let’s understand your challenge before choosing the technology.