PROmeter
Continuous intelligence for safety-, security- and regulated engineering — govern, measure, understand, review.
Four products, one closed loop
PROmeter is a platform of four products. Each owns one step in the engineering-governance loop — govern, measure, understand, review — and together they turn continuous improvement into continuous intelligence.
PROmeter Metrix
A formal metric language enables deterministic measurement across tools with temporal semantics for release-specific accuracy. The formal structure makes deviations self-describing: the metric result identifies which link is missing, between which artifacts, since which baseline. Reads Jira, DOORS, Polarion, PTC RV&S, Codebeamer and CSV exports. On-premise, offline-ready, versionable in git.
In development
PROmeter Calix
Structured platform for reviews, assessments and audits. Review templates with weighted criteria and roles; single, team or moderated workflows; findings with root-cause analysis (5 Whys, Fishbone, 8D) and corrective-action tracking. Weighted scoring, maturity and compliance scales built in. Replaces the Excel-Word-email-SharePoint patchwork with one auditable environment where the evidence already lives.
In development
PROmeter Semantix
Lifts every artifact — requirements, BPMN, UML, SysML, ReqIF, Markdown — into a knowledge-graph representation with an engineering ontology on top. A change surfaces in domain terms: not “XML line 42 modified” but “Safety classification increased, 5 tests affected, 2 reviews to re-run”. Cross-artifact traceability, impact analysis and release-readiness checks on one graph, powered by on-premise LLM inference where reasoning helps.
In development
PROmeter Helix
Process governance and lifecycle management. Author process definitions, review and approve them, release them for projects, instantiate for execution. The process definitions serve as the normative reference that the other three products measure, understand, and review against.
One platform, four products, one language
The four products share a formal engineering-metric language and a knowledge graph — so a definition in Metrix, a verdict in Calix, an impact score in Semantix and a gate predicate in Helix all speak to each other without translation.
Shared formal language
One DSL across all four products. A metric is a metric, a verdict is a verdict — whichever tool consumes it.
Shared knowledge graph
Requirements, tests, reviews, processes — linked once, read by every product.
On-premise, local LLMs
No cloud. Semantic analysis runs on your hardware, your IP stays on your network.
- Loosely coupled products — adopt one, adopt all four. Each works alone; together they close the loop.
- Desktop + CLI everywhere — author interactively, run in CI. Same inputs, same results.
- Portable, versionable artefacts — books, process definitions, review templates. All diffable, all in git.
From continuous improvement to continuous intelligence
Classic quality programmes sample. PROmeter runs continuously, closes the loop, and gives you numbers that come with their own explanation.
Measurable governance
Process gates with formal entry/exit predicates — auditable by construction, not by assembly after the fact.
Reviews that scale
NLP does the first pass, humans do the judgement. Assessment-prep weeks collapse into days.
Impact you can explain
Every metric shift carries its own cause and consequence — not just a number, but a story the reviewer can act on.
- Closed loop, not sampling — every change measured, understood, reviewed, governed. No gaps between audits.
- IP stays in-house — everything on-premise. No vendor cloud, no data residency negotiations.
- Experience compounds — DSL snippets, review templates and process definitions become team assets.