NEXT-GENERATION ENERGY EFFICIENCY PLATFORM: AI-DRIVEN, AUDIT-READY & INDUSTRY-SPECIFIC

Reduce energy waste. Improve air quality. Prove savings with evidence-ready reporting.

GreenGuard AI

combines industrial IoT sensors, a smart-factory “smart home” interface, automation rules, and an AI assistant that turns raw measurements into clear actions—with measurable impact in kWh, CHF, and CO₂.

Why is GreenGuard AI over others?

Most energy tools stop at charts. GreenGuard AI is built to drive action and stand up to audits.

Unlike traditional monitoring platforms or complex building-management systems, GreenGuard AI offers.

Smart-Home UX for Smart Factories —floor plan view, device tiles, zones, scenes, and quick actions.
Evidence-ready reporting: exports designed for internal/external audits (data completeness, change history, logs).

Role-based insights — Plant, Energy, Maintenance, HSE/ESG, CFO, Auditor—each gets the right view and language.

Out-of-schedule detection — alerts when equipment runs outside allowed hours (with traceable rule history).

Remote control with industrial safety — quick control for non-critical loads; protected control for critical equipment (approvals, interlocks, logging).

AI assistant that recommends savings actions — what to switch off, reduce intensity, reschedule, or investigate — always with an expected impact.

Business outcomes GreenGuard AI is designed to deliver

Reduce base-load waste and unnecessary runtime

Improve operational visibility and accountability

Accelerate decisions with quantified savings (CHF/month, CHF/year)

Who benefits most from GreenGuard AI?

Large manufacturers – monitor lines, utilities, compressors, ventilation, and base loads across shifts.

Multi-site industrial groups – standardize KPIs and reporting across plants.

Facilities & operations teams – occupancy-aware energy optimization and IAQ monitoring.

Energy & ESG teams – consistent carbon/energy datasets and audit-grade exports.

Finance/Controlling – verified savings translated into costs and performance KPIs.

Key differentiators: what makes GreenGuard AI unique?

Floor Plan + Live Map — Place sensors, assets, and control points on a building map and see live metrics per room/zone/line.

Data → Actions (not just dashboards) — The platform generates recommendations linked to economic value: kWh + CHF + CO₂.

Industrial-grade control safety — Two control modes (Quick vs Protected), interlocks, approvals, full command lifecycle, and immutable logs.

Rule engine built for operations — Schedules, exceptions, rule priorities, versioning, and incident linkage (what rule caused which alert).

Audit-ready by design — Exports and evidence packs intended to survive audits: traceability, metadata, device lists, data completeness.

Swiss trust posture — Swiss-hosted deployment options, clear access policies, RBAC, 2FA/SSO readiness, logging, and evidence governance.

Functionality & Performance

IoT ingestion via gateways and MQTT pipelines (time-series telemetry + events)

Asset model — Company → Site → Building → Floor → Zone/Room → Line → Machine/Asset

Energy analytics — kW/kWh, peaks, base load, shift views, anomaly detection

IAQ analytics — CO₂, temperature, humidity, thresholds, alerts

Occupancy & usage — occupancy patterns vs energy correlation

Rules & automations — schedule rules, out-of-schedule detection, exception calendars

Remote control layer (where enabled) — commands with feedback confirmation and safety policies

APIs & integrations — REST APIs, webhooks, export pipelines for BI/ERP

Customization & Scalability

Role-based dashboards tailored to Plant, Energy, Maintenance, HSE/ESG, CFO, Auditor

Modular rollout: start with monitoring, then add rules/alerts, then control, then AI assistant enhancements

Multi-tenant, cloud-ready architecture for scaling from a single pilot to multi-site enterprise deployments

Custom KPIs: energy cost per site/line/shift, energy per unit output, CO₂ per revenue unit (as applicable)

Security & Compliance

Swiss-hosted deployment options and clear data residency posture

RBAC with granular permissions (view vs control separated)

2FA and enterprise-ready SSO pathway

Full audit trail: configuration changes, rule versioning, control commands, report exports

Secure exports designed for audit workflows (structured

Customer Support & Additional Services

Pilot onboarding: installation checklist, commissioning guidance, data validation steps

Training & enablement for each user role (Plant/Energy/Maintenance/HSE/CFO)

Implementation support: floor plan setup, asset tagging standards, baseline configuration

Ongoing success reviews: monthly savings and compliance-ready reporting (optional service)

Faster Implementation & Adoption

30-day pilot program with defined KPIs and success criteria

Templates for industrial energy monitoring and shift-based reporting

Guided setup: device registry, zone hierarchy, map placement, rules activation

AI-assisted adoption: role-based tips and recommended next actions

Pricing Model & Cost Efficiency

Pilot plan for fast validation (single site, limited sensors/users, core reporting)

Standard plan for continuous savings (multi-zone analytics, automations, advanced exports)

Enterprise plan for multi-site operations (SSO, advanced governance, extended retention, enhanced controls)

Typical cost advantage comes from:

Avoiding heavy infrastructure projects,

Reducing waste through actionable insights,

Turning energy data into verified, CFO-grade savings.

Proven success: what customers can expect

GreenGuard AI is designed to produce outcomes such as:

Elimination of avoidable after-hours runtime through schedule enforcement,

Reduction of base load and standby waste through targeted actions,

Faster identification of peak-load drivers and operational anomalies,

Improved air quality monitoring and accountability across zones,

Audit-ready reporting that reduces friction with finance and external assurance teams.

Future-Proofing & Innovation

AI assistant roadmap — smarter recommendations, better explainability, stronger role personalization

Deeper control integration — additional actuator pathways and plant-ready safety patterns

Expanded reporting — stronger evidence packs, standardized exports, and multi-site governance

EU scale-out — architecture and product packaging designed to expand from Switzerland to EU markets