AI Solutions for Reliability & Process Safety.
We specialize in developing AI solutions that strengthen reliability and process safety — the essential pillars of Asset Operational Excellence — with SMEs in the loop for every conclusion.
Our focus is deliberate. We build AI where it protects the most value — reliability and process safety — because getting these two pillars right is what delivers the rest of Asset Operational Excellence: availability, cost performance and compliance. Every solution is grounded in real engineering standards, not generic models.
AI solutions shaped around your assets, not the other way round.
Off-the-shelf AI rarely survives contact with an operating asset. We build solutions around your data, your workflows and your engineering standards — and we stay to make them evolve.
Predictive reliability & failure analytics
Machine-learning models trained on your CMMS history and condition data to anticipate equipment degradation and rank intervention priorities before failures occur.
Related: Maintenance & Reliability →Asset integrity intelligence
AI that reads inspection histories, corrosion data and process conditions to sharpen RBI risk pictures and flag integrity anomalies human review cycles miss.
Related: Risk Based Inspection →Engineering document intelligence
Custom pipelines that ingest P&IDs, datasheets and procedures at scale — extracting structure, spotting inconsistencies and making decades of documentation searchable and usable.
Related: Design Review & Verification →Production & energy optimization
Models that connect process data to production loss accounting and energy consumption, surfacing the operating envelopes and setpoints that recover barrels and megawatt-hours.
Related: Production Assurance →Safety barrier monitoring
Live SCE and barrier-health analytics that fuse assurance results, deviations and operational data into a single defensible picture of major-accident risk.
Related: Safety Critical Elements →Engineering copilots & custom workflows
Purpose-built assistants for your teams' recurring studies — FMEA, HAZOP, criticality — embedding your methods and libraries, with the engineer always in the loop.
Related: our AI tools →Five Tools, One Principle: Speed Without Shortcuts
Our AI tools do the reading, drafting and cross-checking at machine speed. Our engineers make the judgments. You get studies delivered in a fraction of the time — with full traceability behind every line.
SCE AI — Safety Critical Elements
Screens equipment registers against bowtie barriers to propose SCE tagging, drafts FARSI performance standards from your templates, and cross-checks assurance task coverage against each standard — flagging gaps before the verifier does.
DRV AI — Design Review & Verification
Reads design documentation at scale — P&IDs, datasheets, philosophies, specifications — and checks it against project standards and performance requirements, surfacing deviations, inconsistencies between documents, and missing verification evidence.
ACA AI — Asset Criticality Analysis
Combines CMMS hierarchies, failure history and process context to propose criticality rankings across thousands of equipment items in hours instead of months — with the reasoning behind every score documented for workshop validation.
FMEA & RCM AI
Drafts failure modes, effects and causes from ISO 14224 libraries and your own failure history, then proposes maintenance tasks and intervals per RCM logic — turning week-long workshops into focused half-day validation sessions.
HAZOP AI
Supports node definition, generates deviation checklists from P&IDs, drafts worksheet entries in real time during sessions, and tracks recommendations to close-out — so the team spends its energy on hazards, not on minutes.
The engineer stays in the loop
No AI output leaves BeamsConsult unreviewed. Every proposal is validated by a senior discipline engineer, and every study ships with a traceable record of what was machine-drafted and what was human-approved.
Our AI Applications You Can Use Today
Beyond bespoke studies, we operate ready-to-use AI platforms for engineering workflows — accessible online to our clients and partners.
Athervia
An AI workflow intelligence platform that orchestrates engineering studies, automates document-heavy tasks and keeps every step traceable.
Open app →
DRV
A dedicated platform for AI-assisted design review and verification — checking documentation against standards and tracking findings to close-out.
Open app →From a bounded pilot to an evolving capability.
Discover
We start from an operational problem worth solving — not from a technology. Together we bound the scope, assess your data readiness, and define what success looks like in barrels, hours or risk reduction.
Prototype
A working solution on your real data within weeks, evaluated against engineer judgment. If it doesn't beat your current way of working, we say so and stop there.
Deploy
Hardened, secured and integrated with your systems — CMMS, IDMS, historians — with the governance, traceability and engineer sign-off your industry requires.
Evolve
Assets age, feeds change, regulations tighten. Our solutions are built to retrain, extend and absorb new use cases — so the capability grows with your needs across the asset lifecycle.
Four results, one thread: resilience.
Enhanced safety
Sharper barrier visibility, earlier anomaly detection and study rigor at machine scale — reducing major-accident risk exposure.
Improved reliability
Failures anticipated instead of repaired; maintenance effort concentrated where failure behavior justifies it.
Optimized economics
Recovered production, reduced maintenance and inspection spend, and investment decisions ranked by quantified value.
Business resilience
Institutional knowledge captured in systems instead of retiring with people — a capability that compounds across the asset lifecycle.