The Process Safety Intelligence Platform
Connect HAZOP, LOPA, actions, approvals, revalidation, AI search, and engineering knowledge into one continuously learning process safety workspace.
From HAZOP software to Process Safety Intelligence
Traditional tools digitize the worksheet. Prosiq turns every study, action, safeguard, approval, and lesson learned into a reusable body of engineering knowledge.
Everything process safety teams need, connected
Executive Intelligence
Portfolio risk, action aging, PSI Index, approvals, and knowledge growth in one command center.
AI Copilot
Suggest safeguards, questions, recommendations, and similar historical scenarios with source context.
Knowledge Graph
Connect equipment, nodes, causes, safeguards, actions, LOPA scenarios, and lessons learned.
Enterprise Governance
Approvals, electronic signatures, revisions, audit trail, and controlled study lifecycle.
Intelligent Revalidation
Compare prior studies, carry forward knowledge, retire outdated findings, and flag unresolved actions.
Search Everything
Find any study, node, recommendation, safeguard, action, approval, or knowledge topic instantly.
Methodology Engine
HAZOP, LOPA, What-If, Checklist, and FMEA on one shared intelligence platform.
Closed-loop Actions
Owners, due dates, escalation, evidence, verification, and closure governance.
Every workflow becomes organizational memory
P&IDs, equipment, tags
HAZOP, LOPA, What-If
Causes, safeguards, risk
Owners, evidence, closure
Review, signature, audit
Relationships and memory
Compare, carry forward
AI improves each cycle
AI built specifically for engineering judgment
Prosiq does not replace the facilitator. It brings the organization's process safety memory into the workshop, with evidence, confidence, and traceability.
Retrieve previous findings, safeguards, and actions from comparable studies.
Flag gaps where credited protection appears incomplete or inconsistent.
Ask engineering questions across every study, node, action, and knowledge topic.
Use relationships between assets, causes, safeguards, and risks—not just keyword matches.
Generate targeted workshop prompts that keep experts in control.
Every recommendation includes rationale, confidence, and source context.
42 findings · 7 facilities · 13 safeguards
Recommendation reused across biofuels and specialty chemicals
Requires facilitator review before approval
Every study strengthens the next one
Prosiq connects facilities, equipment, deviations, causes, safeguards, recommendations, actions, approvals, and lessons learned into a living process safety knowledge graph.
Causes, safeguards, recommendations, and lessons learned become available to every future study.
AI reasons over connected engineering context instead of isolated rows.
See patterns across sites, units, methodologies, and revalidation cycles.
Actions and approvals stay connected to the original risk decision.
PSV inspection basis changed since prior study.
Decision trail carried into new approval cycle.
Revalidation without starting over
The next study should start with everything your organization already knows. Prosiq makes revalidation a controlled intelligence workflow, not a blank worksheet.
Compare prior and current studies by node, finding, safeguard, and action.
Flag safeguards and recommendations that need SME review.
Carry open work into the new cycle with ownership and traceability.
Preserve rationale, decisions, and historical context from prior cycles.
Recommendations that actually get closed
A recommendation is not safety until it is implemented, verified, approved, and traceable. Prosiq turns findings into governed engineering work.
A command center for enterprise process safety
See risk exposure, action aging, approval queues, knowledge growth, methodology usage, and the Process Safety Intelligence Index across every facility.
• 3 recurring cooling-water scenarios
• 7 overdue critical actions
• 12 safeguards reused from prior studies
• 4 approvals require engineering review
One intelligence layer across every review method
Each methodology shares the same search, AI, governance, actions, reporting, and knowledge graph—so process safety knowledge compounds instead of fragmenting.
HAZOP
Structured node-based hazard and operability studies
LOPA
Layer of Protection Analysis with IPLs and residual risk
What-If
Fast scenario reviews for changes and design decisions
Checklist
Reusable corporate checklists and review templates
FMEA
Failure modes, effects, controls, and RPN scoring
Bow-Tie
Barrier visualization and risk pathways
Process safety memory must preserve more than documents. It must preserve the evidence, reasoning and context behind engineering decisions.
Research analysis · September 18, 2026
A Vector Database Is Not Process Safety Memory
Recent research shows why trustworthy process-safety intelligence requires lossless evidence, structured relationships, explicit reasoning, change history and accountable human judgment.
Read the analysisBuild a continuously learning process safety organization.
See how Prosiq connects studies, actions, approvals, AI, and organizational knowledge into a platform designed for the next decade of process safety.