We build custom automation, integrate AI into your existing stack, deploy boots-on-ground independent technical analysis, or generate CAD-integrated package designs. Whichever closes the gap fastest.
JT studies, phase-envelope modelling, concept proposal review, pre-FEED technical due diligence. We run the numbers — CoolProp, DWSim, custom Python — and give you a defensible answer in hours, not weeks.
Bespoke workflows, data pipelines, report generators, calculation engines. Built on Python and Node.js with our own IP — deployed to your infrastructure or ours.
AI and API integration with existing systems — Aspen, HYSYS, CAD tools, document management, procurement platforms. We meet you where your data already lives.
Process spec in → concept-grade modular package out. Equipment schedule, 2D PFD, 3D skid arrangement and STEP exports driven from DWSim/CoolProp sizing. Fast-track pre-FEED packaging for the toughest O&G duties.
Three live products and one delivered case study — all from real engineering problems, not demo scenarios.
AI-powered engineering document review — P&IDs, datasheets, stress reports, line lists. CEng supervised, coded against 30+ standards. Findings cited by clause.
WhatsApp invoicing automation for field services and distribution. Log jobs, generate PDF invoices, collect payment — without leaving WhatsApp.
Contact for accessAI-powered education technology. Adaptive learning tools that help students engage with technical and academic content at depth.
European EPC · $1.25M concept package · 12 JT scenarios · 4-page branded PDF · Delivered in <2 hours · Client: “Very excited, looking forward to great collaboration.”
“We turn vague client requirements into actionable spec. We rerun the numbers when yours change. We don’t fake certainty.”
— Kingsley Uzowulu, CEng MIMechE
SpecSense is our AI document review product — owned, operated, and supervised by a Chartered Engineer. Upload any engineering deliverable. Receive your PDF comment register + Excel workbook.
Three steps. Five minutes. A comment register that reads like a principal engineer wrote it — because a principal engineer designed it.
P&ID, isometric, datasheet, stress report, valve list — any standard engineering deliverable. PDF or image accepted.
The AI checks against the applicable codes — ASME B31.3, API 610, NACE MR0175, ACI 318 and more. Findings are tagged by severity: Critical, Major, Minor, Observation.
A PDF comment register + Excel workbook lands in your inbox. Every finding references the applicable clause, tells you what's wrong, and how to fix it.
Each reviewer is trained on the applicable codes for its discipline — not a generic engineering model. We started where the review volume is heaviest: piping.
We close the gap.
A single P&ID review by an external consultant takes 3–5 business days and costs $400–$800. A project with 200 P&IDs means months of review backlog.
ChatGPT doesn't know ASME B31.3 §304.1.2 from NACE MR0175 Table A3. It wasn't trained on engineering deliverables. Ours was.
A missed relief valve specification or incorrect line class found during commissioning costs 50× more to fix than catching it at IFR. Prevention, not correction.
No sales call needed. Try the tools directly — each demo runs in your browser.
We build custom AI automation for engineering teams — when off-the-shelf reviewers don't cover your specific workflow.
Custom extraction pipelines for P&IDs, datasheets, MRQs, and specifications. Output to Excel, SharePoint, or your document management system.
AI assistants trained on your company procedures, project specs, and engineering codes. Deployed securely on your infrastructure or as a web app.
Daily progress, HSE summaries, punchlist digests — generated automatically from your live data. No more copy-paste reporting.
AI voice bots for appointment booking, technical Q&A, and client intake. Built on Retell AI — deployed in days, not months.
Kingsley Uzowulu is a CEng MIMechE with 21 years in oil & gas engineering — piping, mechanical, civil, and structural across ADNOC, Saudi Aramco-standard projects, FPSO, and EPC programmes.
He has sat on both sides of the review desk: as the EPC engineer issuing drawings for comment, and as the owner's engineer sending them back with 40-line comment registers. He knows where the errors hide, what a CRITICAL vs MAJOR finding actually means for schedule risk, and what it costs when a P&ID gets to IFC with an unresolved relief philosophy gap.
KU Automation was built to encode that experience into AI reviewers that an owner's team can run at EPC speed — without hiring a consultant for every deliverable.
Self-serve for instant reviews. Engagement-based for full-project AI builds.
Pick a reviewer, upload your document, pay. Receive your PDF + Excel comment register in under 5 minutes. 13 reviewers available today.
Custom AI automation scoped to your specific project or workflow. Fixed-fee delivery. Most clients see ROI within 30 days of deployment.
Tell us the engineering problem. We’ll tell you whether a scoping study, an existing product, or a bespoke build solves it fastest.
Or explore SpecSense directly — specsense.ai →