Decision Intelligence for Industrial, Infrastructure and Consulting Players
We turn fragmented market and operational data into decision-ready intelligence and tailored outputs for industrial companies, infrastructure operators and top-tier consultancies.
Cross-Platform Mapping
Mapping critical links across the entire industrial stack—including Cloud, ERP and Edge assets—to ensure seamless integration and avoid operational downtime.
Infrastructure Risk Tracking
Detecting system aging and operational threats by analyzing real-time market signals and procurement data.
Procurement & Investment Forecasting
Detect early indicators of upcoming investment cycles, tender activity and budget-backed opportunities.
Industrial Tech Providers
Enterprise sales, account strategy and product leadership teams (e.g., ABB-like, Siemens-like).
Energy & Infrastructure Operators
Asset owners and network operators such as TSOs, DSOs and utilities.
Tier-1 Consultancies
Strategy, infrastructure and transformation advisory teams (e.g., Deloitte, Accenture-like).
Cloud & Software Vendors
Cloud platforms, ERP vendors and industrial software teams.
From Fragmented Inputs to Clear Decisions
We do not provide raw feeds. We turn fragmented public, licensed and proprietary inputs into structured datasets and clear analysis for strategic planning, account prioritization, risk review and investment tracking.
1. How the Data is Structured
- Gather: Collect relevant public, licensed and proprietary inputs from technical, institutional and market sources.
- Standardize: Normalize entities, timelines, vendors and categories into a consistent structure.
- Enrich: Add context, relevance and priority based on the business question.
- Prioritize: Organize outputs by urgency, strategic relevance or risk exposure.
- Deliver: Present findings in formats designed for decision-making, account planning and leadership review.
2. Trust & Data Principles
- Public, licensed and proprietary signals where appropriate.
- Structured them in line with the intended use.
- Handled under access rights and internal data practices
Illustrative Output Structures
Examples of how we structure and present selected outputs. These are illustrative only.
1. Enterprise Stack Profile
This table maps the current enterprise technology stack.| Company | Sector | Cloud Stack | ERP | Observability | CI/CD |
|---|---|---|---|---|---|
| Terna | Energy / Grid | Private Cloud | SAP S/4HANA | Splunk | Azure DevOps |
| Italgas | Utilities | Azure / GCP | SAP (100% Cloud) | Dynatrace | GitHub Actions |
| Stellantis | Automotive | AWS | SAP S/4HANA | CloudWatch / Datadog | AWS CodePipeline |
| Enel Grids | Energy | AWS / Edge | SAP | New Relic | GitLab CI |
2. Vendor Dependency Profile
This table quantifies vendor dependency based on observed signals.| Company | Signals | Lock-in Score | Action | Reason | Source |
|---|---|---|---|---|---|
| Leonardo | 3 | 88.0 | ENGAGE | PSN digitalization tied to Microsoft stack. | Link |
| Enel | 3 | 81.0 | STRATEGIC | Core grid application migration to AWS. | Link |
| A2A | 3 | 75.0 | MONITOR | MoU signed for massive Cloud and AI-native transition. | Link |
3. Transformation Signal Tracker
This table tracks external transformation events and migration signals.| Company | Type | Platform | Score | Action | Reason | Source Title | Date |
|---|---|---|---|---|---|---|---|
| S2E / Scaleway | news | Multi-cloud | 85 | STRATEGIC | Sovereign Cloud Partnership (Design Phase). | S2E/Scaleway partnership | 15 Apr 2026 |
| PosteMobile | news | Multi-cloud | 80 | MONITOR | Switch to TIM network: Q1 2026 migration. | PosteMobile transition | Q1 2026 |
| ISTAT | news | Multi-cloud | 80 | ENGAGE | PSN Agreement: migration of relevant services. | ISTAT service migration agreement | Jun 2024 |
4. Vendor Risk & Renewal Monitor
This table monitors technical compliance and renewal risk.| Vendor | As Of | Expiry Date | Status | Risk Score | Reason | Action |
|---|---|---|---|---|---|---|
| Salesforce | 2026-04-17 | 2026-04-10 | EXPIRED | 10 | Certificate expired 7 days ago | IMMEDIATE: Contact vendor |
| Google Cloud | 2026-04-17 | 2026-06-15 | EXPIRING | 8 | Expiring within 60 days | Request renewal |
| Microsoft Azure | 2026-04-17 | 2026-12-31 | VALID | 2 | Valid > 6 months | Monitor quarterly |
5. Procurement Pipeline Monitor
This table identifies procurement timing and budget-backed opportunities.| Buyer Org | Project Type | Est. Budget | Deadline | Stage | Urgency | Recommended Action | Trigger |
|---|---|---|---|---|---|---|---|
| Consip / PA | Public Cloud SaaS | 220.5 M€ | 2026-06-15 | OPEN | 9.5 | ENGAGE | Active tender access |
| FS Italiane | Digital Infra | 1.9 B€ | 2026-12-31 | PRE-PROC | 8.7 | STRATEGIC | Position before RFP |
| Snam | Grid Digitalization | 1.2 B€ | 2027-H1 | EXECUTION | 7.8 | STRATEGIC | Budget approved → indirect sales opportunities |
Illustrative Use Case
🎯 Sales & Account Targeting
Identify Tier-1 infrastructure accounts entering transformation cycles ahead of public tenders.
⚠️ Vendor Risk & Lock-in
Detect concentration risk and dependency across cloud, ERP and industrial platforms.
💰 Investment Forecasting
Surface early indicators of upcoming investment cycles and procurement activity.
🔄 Migration Tracking
Track the gap between stated transformation plans and observable execution signals.
Experience in Critical Infrastructure
Our methodology is informed by international IT delivery experience in Zurich’s industrial corporate environment (ABB) and by conversations with Swiss and German infrastructure-focused stakeholders, including teams at Deloitte and GE Vernova.
Beyond Raw Data: We aggregate and structure source inputs into curated, actionable datasets designed for the rigorous standards of multinational operators.
Request a Tailored Dataset
Share your question and we will shape a tailored output around it.