Engineering meets intelligence
P&ID reviews that took days, done in minutes. Meeting minutes written while you talk. Process drift caught before your alarms notice. We built what we wished existed.
Start Working SmarterAI Processing Layer
Work piles up for some. For others, it compounds.
where most teams are
Engineers write every document, trace every connection, check every revision by hand. Review cycles run on spreadsheets and tribal knowledge. The same checks get repeated every revision because there is no structured memory of what was already verified.
where leaders are moving
AI generates the first draft, the first extraction, the first pass. Engineers review output instead of producing it. Documentation keeps pace with the project instead of lagging weeks behind. Time goes to judgment calls, not data entry.
where it’s heading
Continuous automated processing on every revision, every data point, every document update. Engineers receive exception reports when something needs human judgment. The rest runs without intervention.
The work is real. The question is whether humans should still be doing all of it.
3 to 4 engineers, about 1 hour each, per page, per review cycle. A 40-page project goes through 8 to 12 review cycles. That is 1,280 to 1,920 manhours of repetitive checking.
Across four projects a year, that is 5,000 to 7,500 manhours your engineers spend tracing connections instead of designing.
Multi-language teams, organization-specific terminology, actions lost in translation. The meeting happened but the documentation lags behind by days.
Action items drift. Decisions get re-litigated. Projects slip by weeks because the record never caught up.
Alarms fire when limits are already crossed. The drift between nominal and trip goes unnoticed. Energy waste, throughput slip, and equipment stress accumulate quietly.
Every hour of undetected drift costs yield, energy, and equipment life you will not see on a dashboard until the quarterly review.
Equipment tags, instrument lists, line numbers, interlocks, control loops. Engineers trace connections across drawings, spreadsheets, and systems by hand.
One missed connection in rev 4 is an order of magnitude more expensive than catching it in rev 3.
What changed between rev 3 and rev 4? Engineers compare drawings side by side, hoping nothing slips through. The cost of a missed change is an order of magnitude higher than the cost of catching it.
Engineers burn out on the checklist work. Reviews get shallower with every cycle. Things slip through.
Purpose-built artificial intelligence tools for engineering teams. Each one solves a specific, measurable problem.
Upload or stream meeting audio in any language. The system processes organization-specific terminology and delivers structured minutes. Flat fee per organization, not per seat.
| Item | Detail |
|---|---|
| Meeting | FEED Phase Review, Train 2 Compressor |
| Date | 2026-03-28 14:00 CET |
| Action | S. Patel: Update seal gas P&ID rev 4 by 2026-04-02 |
| Action | M. Okonkwo: Close 12 instrument tag discrepancies |
| Decision | Seal gas system design basis locked for FEED deliverable |
| Decision | Instrument list freeze date moved to 2026-04-15 |
Upload P&ID drawings and the system extracts equipment, instruments, valves, control loops, and lines, then applies configurable engineering rules to flag issues. Targets 30% reduction in review manhours per cycle.
| Finding | Page | Severity | Status |
|---|---|---|---|
| Missing drain valve on knockout drum V-2401 | PID-024-001 | High | Open |
| PSV-2403 set pressure not shown | PID-024-003 | High | Open |
| FT-2412 not on instrument list | PID-024-007 | Medium | Under review |
| Line 4"-HC-2401-A1A missing insulation spec | PID-024-002 | Low | Noted |
Process monitoring that analyzes multivariate transmitter data. Detects subtle drift before alarms trigger. Cross-checks process, mechanical, and energy signals. Estimates cost exposure per deviation. Read-only access to your historian, Luma never changes controls.
| Signal | Status | Drift | Est. Impact |
|---|---|---|---|
| TI-3201 Reactor inlet | Warning | +2.1°C / 48h | €1,200/day |
| PI-3205 Column overhead | Normal | — | — |
| FI-3210 Feed flow | Watch | −3.2% / 72h | €800/day |
| AI-3215 O₂ analyzer | Alert | +0.4% O₂ deviation | €3,400/day |
Builds over 60% of initial actions for a HAZOP study automatically. Analyzes P&IDs, process descriptions, and historical data to pre-populate deviations, causes, consequences, and safeguards. Cuts HAZOP preparation from weeks to days.
| Node | Deviation | Cause | Safeguard |
|---|---|---|---|
| Reactor feed | More flow | FCV-101 fails open | High flow alarm FAH-101 |
| Column overhead | Less pressure | Condenser fouling | PSV-201 relief |
| Heat exchanger | More temperature | Cooling water loss | TAH-301 trip |
| Storage tank | Reverse flow | Pump failure | Check valve CV-401 |
Repetitive, rule-based, or data-heavy workflow? We scope it, build it, and deploy it. Same architecture. Same reliability standards.
Start Working SmarterOur engagement model, from exploration to transformation.
We show your team what AI can do and teach them how to use it through live demos and hands-on workshops.
Live Demos & WorkshopsWe figure out where AI fits in your business, test the best ideas with a quick proof of concept, and lay out a plan.
Assessment & PoCWe build and set up AI tools that work for you, either custom or off-the-shelf.
Development & ImplementationWe help you take what worked and spread it across the organization.
AI Transformation ProgramBuilt by engineers, for engineering teams.
Meeting intelligence
Meeting documentation that keeps pace with the project. The MoM Generator processes multi-language discussions, applies organization-specific terminology, and delivers structured minutes with action items, decisions, and deadlines in the language you choose.
Review automation
P&ID review automation. The Review Assistant extracts and cross-references every element on every page, applies engineering rules adapted to the drawing stage, and delivers structured findings with severity ratings. Engineers review findings instead of tracing connections by hand.
Process intelligence
Real-time process intelligence. Luma monitors transmitter data across process, mechanical, and energy signals. Detects drift, quantifies cost exposure, recommends corrective actions. Operators get hourly digests. Management gets weekly KPIs, trends, and savings tracking.
Real projects. Real scale. From $20M pilots to $12B mega-projects across refining, renewables, and petrochemicals.
Process design for a 20 kt/yr bio-based C4–C8 fatty acid plant, covering fermentation, separation, and distillation trains. Scaled up from 2 kt/yr demo to industrial scale.
Process Engineer
Oversaw a new low-carbon ethane cracker project and an extension project ($2B, 0.6 Mton/yr). Guided joint ventures in developing and implementing Energy Efficiency Plans.
Project Technical Support Manager
Modeled Steam Generation, District Heating, and ORC Plant systems in Aspen Plus, constructing over 35 design scenarios. Engineered the 21.4 Mton/yr ORC Plant and its key equipment.
Process Project Engineer
Executed process simulations for hydrogen production and power generation. Developed P&IDs and performed Type 2 CAPEX and OPEX estimations.
Process Engineer
Your data, your rules. We treat security as a prerequisite, not an afterthought.
Data minimization
Every tool is built with data minimization and access control from the start. Your data is processed, not stored beyond what you authorize.
GDPR compliant
We prioritize European data centers wherever possible. When third-party services are involved, we select providers with EU hosting and GDPR compliance.
No black boxes
Before any engagement, we share exactly which tools, models, and infrastructure we use, where data flows, and what controls are in place.
Honest constraints up front. Easier than discovering them three months in.
We don’t train models on your data. Ever. Self-hosted and zero-retention options are available.
We don’t sign off for engineers. Our tools extract, check, and score. Judgment and approval stay with your team.
We don’t deploy where compliance can’t follow. If EU hosting or self-host is a hard requirement, we say so upfront.
MoM Generator is live and taking customers. Luma is pilot-ready: we deploy it on your historian data and run a proof-of-value in weeks, not months. P&ID Review Assistant and HAZOP Initiator are in active development. If you want early access to either, the discovery call is where we scope that. Have a different project in mind? Bring it to the call and we can give you an indicative timeline, usually in weeks.
Yes. Every product we build can be deployed on-premise or within your private cloud. For clients in regulated industries (refining, LNG, petrochemicals) this is usually the default. We hand over the deployment, you control the environment.
We do. The engagement model is built around remote delivery with periodic on-site presence. Current and past projects span the Netherlands, Belgium, Germany, and Turkey. For clients further out, we adjust the cadence: discovery and kickoff on-site, delivery remote, reviews on-site as needed.
Pricing depends on project scope, but the usual path follows a common structure. Installation is a flat fee, scoped to mutually defined proof-of-concept levels. After deployment, usage is billed monthly on a pay-as-you-go basis. Training, maintenance, and support are available on a monthly retainer or hourly basis, depending on what fits.
We are a team of industry experts with direct experience in oil and gas, renewables, petrochemicals, and chemical processing. You work with the engineers who built the tools. The architecture, the AI development, and the process engineering knowledge behind every product stay in-house.
Book a 30-minute discovery call. Tell us what your team would need to see to feel confident — EU hosting, self-hosted deploy, a live demo on your own data — and we will come to the call with that already mapped out.
Start Working Smarter