ProjectHindsight captures and surfaces project knowledge. ConditionIQ tracks the condition and remaining life of every asset you own. Both built for engineers, not data scientists.
These are recreations of the actual interface, built from a live pilot organisation. Toggle between platforms and views below.
A sector-aware dashboard that configures itself on registration. Grade distribution, top risk assets and survey currency are calculated automatically as engineers complete assessments — no manual reporting required.
Every asset plotted by grade using UK postcode lookup or direct coordinates — giving asset managers an immediate spatial view of portfolio risk for geographic prioritisation of inspection programmes.
| Asset | Class | Grade | Status | Alert |
|---|---|---|---|---|
Ashfield Road Borehole ASH-BH-03 · 1981–2000 | Borehole | 3.00 | ACTIVE | ● Monitor closely |
Greenshaw Lane Borehole GSL-BH-01 · 1921–1940 | Borehole | 1.75 | ACTIVE | — |
Maplewood Farm Borehole MPW-BH-02 · 1961–1980 | Borehole | 4.50 | ACTIVE | ● Intervention required |
Thornfield Service Reservoir — South Cell THF-SR-S1 · 1941–1960 | Treated water storage | 3.50 | ACTIVE | ● Monitor closely |
Riverdale WTW — Filter No. 3 RDL-RGF-03 · 1981–2000 | Rapid gravity filter | 2.25 | ACTIVE | — |
Filter by asset class, search by name or site ID, and see alert status calculated live from condition grade and survey currency — no spreadsheet formulas to maintain.
Every assessment generates a deterioration curve projecting when the asset reaches Grade 3 and Grade 4 thresholds — turning a single inspection into a 25-year intervention planning tool, automatically.
Engineers capture lessons under four structured categories — successes, challenges, recommendations, innovations — directly online, or let AI extract them from an uploaded project document in seconds.
Every organisation gets a live analytics view: lessons by category, monthly capture trends, approval status and top contributors — giving directors visibility without asking anyone for a status update.
AI captures, organises and surfaces lessons learned across every project your team has ever delivered.
Post-project reviews get filed. Lessons get written. Then completely ignored on the next project. ProjectHindsight breaks that cycle — turning buried closeout reports into a searchable, AI-powered knowledge base that proactively warns your next team before the same mistake happens.
| Who | What they get |
|---|---|
| Project Managers | Proactive risk flags matched against your new project scope before the work begins |
| Programme Directors | Portfolio-level visibility of lessons by theme, contractor and risk category |
| Asset Owners | Cross-project intelligence on asset types — what's failed, what's worked, what to specify |
| Commercial Teams | Contractor performance history and tender-stage risk assessment |
| HR & Knowledge Teams | Structured capture of engineer expertise before they retire or move on |
Search by meaning, not keywords. "Pump station commissioning" surfaces lessons about valves, pressure testing, handover and SCADA — not just exact phrase matches.
Upload project documents — reports, minutes, risk registers, lessons logs. AI extracts structured lessons in seconds, tagged by category, risk level and component.
AI searches published industry reports and global case studies — bringing external sector intelligence into your private knowledge base alongside your internal lessons.
At the start of any project, describe your scope. AI matches it against your knowledge base and flags the risks most likely to affect your specific scheme before you break ground.
Every AI-extracted lesson goes through a structured review before entering the knowledge base. Quality-controlled, auditable, engineer-approved. AI proposes — you decide.
Share anonymised lessons across your supply chain or sector peers. Benefit from collective intelligence while keeping your sensitive operational data completely private.
Upload documents or use our template. AI extracts lessons — title, root cause, impact, recommendation.
Your team reviews every extracted lesson. Engineer approves before it enters the knowledge base.
Before any new project, search by topic. Semantic AI surfaces the most relevant past lessons, ranked.
Apply past knowledge before the mistake happens. The cycle of repeat project failures stops here.
Maximo is where asset data goes to be stored. ConditionIQ is where it goes to become a decision.
Enterprise systems track that inspections happened. They do not interpret what was found, calculate a structured condition grade, or produce a regulatory evidence pack. ConditionIQ fills that gap — for any regulated infrastructure operator across six sectors, using the correct methodology for each one.
| Who | What they get |
|---|---|
| Asset Managers | Portfolio-level condition overview, risk ranking, intervention prioritisation across all asset types |
| Field Engineers | Structured mobile assessment, AI-assisted grading, offline capture with photo evidence upload |
| Directors / Boards | Dashboard KPIs, risk-ranked alerts, maturity scorecard, board-ready evidence packs |
| Regulators / Auditors | ISO 55001-aligned evidence packs with full audit trail and EU AI Act Article 50 disclosure |
| Consultancies | One platform for all client sectors — consistent methodology, sector-specific outputs |
Six sector libraries pre-loaded with the correct regulatory standard, asset classes, grade descriptions and inspection checklists. Register and start assessing in minutes — no configuration needed.
Upload inspection reports, CCTV surveys or site photos. Claude reads them, identifies defects and proposes condition grades with direct document citations. Engineer reviews and approves every grade.
277 asset types with condition-adjusted deterioration curves. Know when each asset needs intervention — not just what grade it is today. Calibrated to each sector's published service life data.
Likelihood × Consequence of Failure scoring, ISO 55001:2024 and ISO 31000 aligned. Risk-rank your entire portfolio to prioritise inspection programmes and capital spend decisions.
PWA installable on iOS and Android — works fully offline in the field, syncs when back in range. Camera integration, structured assessment forms, no paper or PDF back-filling.
8-section pack: condition grades, risk matrix, climate vulnerability, remaining useful life, intervention recommendation — formatted to your sector's regulatory standard, PDF and Word in one click.
Mobile PWA, offline-capable. Upload inspection evidence; AI proposes condition grades with citations.
Engineer reviews and approves every AI-proposed grade. All grades are professional judgements.
Risk matrix and remaining useful life calculator identify what needs attention first across your portfolio.
Generate your regulatory evidence pack — sector-formatted, ISO 55001-aligned, submission-ready.
They are complementary by design. Asset failures generate project lessons. Project failures reveal asset conditions. The loop closes when both platforms share intelligence.
Project knowledge management — from lessons captured to mistakes prevented
Asset condition intelligence — from field inspection to investment decision
ProjectHindsight and ConditionIQ are complementary by design. Asset failures inform project lessons. Project failures reveal asset weaknesses. Running both closes the loop.
Try ProjectHindsight free for 30 days — or apply for the ConditionIQ pilot. Both platforms are built for engineers and live within hours, not months.