Compliance should predict risk,
not record failure
Four engines apply prediction, continuous rules, scenario planning and a queryable graph to nine compliance domains, on one data layer and one audit trail. We do not replace your systems of record. We make them produce decisions instead of records.
EHS · Regulatory · Trade · Privacy · Audit · Ethics · Risk · Legal · ESG
Compliance is measured after the damage
Multiple domains, twenty to thirty disconnected tools, and evidence assembled by hand once the harm is already done. Assessments are point in time, so between them ownership changes, suppliers change and obligations change unseen. Almost no compliance function can show which intervention reduced risk, only that the intervention happened.
The world changed faster than compliance tooling. Over 30,000 new and updated EHS regulatory requirements landed in 2024 alone, and the global total is up 42% since 2020. Horizontal regulation now arrives from outside your domain entirely: packaging, batteries, cyber, AI. The team that owns it often finds out last.
Sources: Enhesa global EHS regulatory statistics, 2024 data · BIS press release, February 2026 · CMS GDPR Enforcement Tracker, March 2026 · IBM and Ponemon, Cost of a Data Breach 2025 · CUBE Cost of Compliance 2025 (n=2,000+) · DOJ Evaluation of Corporate Compliance Programs.
Risks and obligations now move faster than traditional compliance.
The suite, and a day inside it
An overview of the Compliance Suite, and one working day in EHS from the morning forecast to the evidence that the intervention worked.
Target Zero: the EHS overview, with the forecast band on the incident trend.
Nine domains, one decision layer
Every module is configuration on the same core. Open one to see the named applications it ships with, and the outcome each domain is steered by.
The real advantage comes from reusing intelligence across compliance.
The challenges are more similar than it appears
Nine rulebooks, ten recurring problems. Each domain touches five of them, which is why the same core serves all nine.
One party, many records. Fuzzy matching with no context, so the screen over-captures.
The exposure is two or three hops out. The tool sees hop one and stops.
Put this item in the right box in someone else taxonomy, at volume, with confidence.
The route, the transaction, the expense or the access that does not fit the pattern.
A rule moved. Which of our own documents did it just make wrong. Nobody automates this.
Assemble the proof from the source systems and show where the number came from.
The check that ran once at onboarding and never ran again.
Rank what arrived so a person only touches what matters.
A forward view by entity and driver, instead of a count of what already happened.
Model the intervention before you fund it and prove the effect afterwards.
Most compliance domains are more alike than they first appear.
The record was never the goal. Preventing the outcome was.
Everyone records the outcome. We prevent it. Most platforms stop when the finding is logged. Prophesee continues until the risk is prevented.
Four engines under all nine domains
One data layer, one audit trail. Foresight predicts it, Pulse watches it, Horizon plans it, Nexus finds it. Build the core once and bond each module to it in weeks.
Eight weeks to a value you can defend
A value evaluation, not a pilot. We agree the metric and the baseline in week one, run on your data with your users, and measure the result against that baseline. You finish with a live application and a business case for scaling it, or with the evidence that you should not.
Design
- Select the decisions that best validate the case
- Capture today's baseline to measure against
- Agree dates, owners and expected outcomes
Develop
- Connect the systems of record behind the decisions
- Configure the suite applications on your data
- Capture the rules that turn output into action
Deliver
- Validate results with end users against the baseline
- Prove the agreed metrics with the evidence attached
- Hand over the running system and plan the next modules
The fastest way to understand the future is to run it on your own data.
Safety outcomes are shown in the EHS day-in-the-life video above: the forecast that ranks sites by predicted risk, the exception that already has an owner, the intervention modelled before it is funded, and last quarter's intervention tracked against plan.
Watch the EHS walkthroughPredict. Plan. Prevent.
Pick the module where the pain is sharpest. We agree the metric and the baseline in week one, and measure the result on your data.