Search in your document universe
The system identifies the most relevant chunks across documents, metadata, and operational context.
Pacific combines semantic retrieval, data understanding, and source-grounded generation to support critical operational decisions.
A concise pipeline designed for trustworthy and actionable output.
The system identifies the most relevant chunks across documents, metadata, and operational context.
Information is interpreted by meaning, not just keywords, reducing false positives and missing context.
Responses are generated with direct references to supporting sources, enabling verification.
These are illustrative questions an RSPP or HSE manager can ask Pacific. Each answer is grounded in the client's own documents and the relevant regulation, with a citation back to the exact source.
Which PPE is required for MIG/MAG arc welding according to client X's DVR?
Pacific returns the PPE listed for that task in the DVR, cites the exact section and links it to the related obligations under Title III of DLgs 81/08.
When does worker Rossi's fire-safety training expire?
Pacific reads the training certificates, returns the expiry date and flags the renewal under the State-Regions Agreement on training.
Is health surveillance for night-shift workers up to date?
Pacific cross-checks the medical visits against the protocol and lists anyone whose visit is missing or expired under article 41.
Prepare the agenda for the periodic safety meeting.
Pacific drafts the agenda required by article 35 for firms above 15 workers, pre-filled with the company's data.
From spreadsheets and databases to reports and procedures, Pacific aligns your information layers so teams can act on the same reliable picture.
Built to adapt to enterprise constraints without compromising speed or reliability.
Pacific works in three steps: it searches your documents and the regulation, it understands the request in context and it answers with the sources attached. Retrieval is vertical and source-grounded, so every answer points to the exact passage it relies on, and if the information is not there Pacific says so instead of guessing. The engine is LLM-agnostic: the underlying model can be updated without changing the product or your data. It is designed for interactive, near-real-time use rather than batch processing. Details on infrastructure, data residency and security controls are documented separately on the Security page.
Compatible with different model providers and deployment choices.
Domain capabilities can be added incrementally as dedicated modules.
Knowledge layers can be curated for specific processes, sites, and responsibilities.
Cloud, hybrid, and on-premise options to match governance and infrastructure requirements.
Today Pacific is built around DLgs 81/08, the core of Italian workplace-safety law, including risk assessment, training, health surveillance, PPE and deadlines. It also handles interference documents for contracts (DUVRI) and supports the path toward ISO 45001 from your operational data. Coverage of DLgs 231/01 is partial, focused on the safety evidence that feeds an organisational model. Pacific is not limited to a single sector: it works across ATECO activities, adapting to each risk profile. The interface and the answers are available in Italian and English. Coverage expands over time as regulation and the product evolve, so this list is updated regularly.
Pacific is a tool, not a replacement for professional judgment. It does not replace the RSPP, the occupational physician or any other safety role. It does not sign or legally validate the DVR or other documents, and it does not provide legal advice. Pacific supports the people responsible for safety by organising data, surfacing gaps and answering with sources, but the assessments and the final decisions stay with the employer and the qualified professionals. Using AI to prepare and check documentation is an accepted practice, as long as a competent person reviews the result and takes responsibility for it.
See it in action
We can review your document set and show how the pipeline produces grounded, auditable answers.