NeoEHS is an AI-powered Environment, Health, and Safety (EHS) and ESG software platform that helps organizations digitize and connect safety, risk, compliance, environmental, and sustainability processes in one centralized system.

EHS software is a digital platform used to manage environmental, health, and safety workflows across an organization—replacing paper, spreadsheets, and isolated databases with a unified system.

It combines traditional safety workflows with artificial intelligence, machine learning, and predictive analytics to automatically identify patterns, prioritize operational risks, and support faster safety decisions.

While traditional systems focus primarily on recording data, NeoEHS integrates AI analytics, connected-worker tech, computer vision, and ESG workflows to move organizations from reactive reporting to predictive risk prevention.

Reactive management looks backward at incidents that already occurred. Proactive EHS uses real-time observations and trend analytics to identify emerging hazards before they result in injuries or downtime.

Yes. NeoEHS is built for multi-site and global enterprises requiring centralized visibility, configurable site-level workflows, multi-language support, and enterprise-grade role-based access control.

Yes. NeoEHS consolidates disconnected spreadsheets into a single source of truth, automating action tracking, notifications, reporting, and regulatory compliance evidence collection.

NeoEHS serves high-risk and complex industries including Manufacturing, Construction, Mining, Oil & Gas, Power & Energy, Chemical, Logistics, Aviation, Ports, and Infrastructure.

It includes dedicated contractor safety modules for managing pre-qualification, inductions, permits, site access, compliance verification, and performance evaluation across third-party teams.

Organizations can request a tailored product demonstration based on their specific operational workflows, site count, and regulatory standards through the NeoEHS website.

AI runs in the background analyzing logged records across incidents, audits, observations, and IoT devices to flag anomalies, recommend corrective actions, and highlight high-risk locations.

Yes. By evaluating historical data across incidents, near-misses, training records, and inspection failures, predictive algorithms identify leading indicators associated with potential future incidents.

AI tools organize event timelines, evaluate contributing factors against historical site records, and suggest root cause methodologies (such as 5 Whys or Fishbone diagrams) to aid investigators.

Yes. The AI engine aggregates cross-facility data to surface systemic risks—answering whether similar hazards or root causes are repeating across separate operating facilities.

Yes. Computer vision models can process video feeds to monitor real-time PPE compliance, restricted zone breaches, unsafe posture, or site hazards automatically.

No. AI provides decision support and insights. Final validation, corrective actions, and policy enforcement remain under human professional oversight.

Document intelligence scans uploaded regulatory files, safety data sheets (SDS), and permits to automatically extract key metadata, expiration dates, and compliance requirements.

Yes. The platform evaluates risk ratings, overdue status, and location severity to automatically escalate high-priority corrective and preventive actions (CAPA) to leadership.

Models are trained on domain-specific safety taxonomies, regulatory frameworks, and operational datasets to ensure relevant and accurate safety insights.

Detection success depends on camera placement, resolution, lighting conditions, and specific site use cases validated during initial solution design.

NeoEHS offers modular solutions across Safety, Risk, Permit-to-Work, Inspections, Audits, Chemical Management, Training, Environmental, Waste, Air Quality, Carbon Tracking, and Asset PPE Management.

It digitizes the end-to-end lifecycle: Initial Reporting → Risk Assessment → Investigation → Root Cause Analysis → CAPA Assignment → Verification → Organizational Learning.

Yes. Simple digital forms encourage workers to log near misses quickly, giving safety managers critical data to address hazards before injuries occur.

The system supports configurable methodologies including HIRA, HIRARC, Job Safety Analysis (JSA), Job Hazard Analysis (JHA), Bow-Tie Analysis, and custom Risk Matrices.

Workflows cover Hot Work, Cold Work, Confined Space, Work at Height, Excavation, LOTO/Isolations, Electrical Work, Lifting, Radiography, and Chemical Handling permits.

Teams can design checklists, schedule audits, perform inspections via mobile devices, capture photos, tag geographic locations, and instantly generate findings and corrective actions.

Yes. It tracks employee training programs, certifications, competency requirements, refresher schedules, expiry dates, and highlights skill gaps before high-risk tasks are assigned.

It maintains a central hazardous chemical inventory, stores Safety Data Sheets (SDS), tracks storage limits, and ensures compliance with global GHS hazard labeling standards.

Yes. It records equipment inventories, PPE allocations, routine inspection schedules, maintenance histories, and retirement timelines for safety critical gear.

Yes. Pre-shift safety briefings, attendance signatures, topic checklists, and site risk logs can be recorded directly on mobile devices prior to work commencement.

It provides structured tools for hazard identification, risk assessment, worker participation, management review, audit trails, and preventive actions aligned with ISO 45001 requirements.

The software tracks environmental aspects, impacts, legal compliance registers, operational controls, waste tracking, emissions monitoring, and environmental incidents.

No. NeoEHS is an enabling software platform that streamlines and documents management system processes. Official ISO certification requires formal third-party audit evaluation.

Organizations can map regional or national regulations, assign internal ownership, attach compliance evidence records, and schedule recurring compliance audits.

Capabilities include tracking operational greenhouse gas emissions, energy usage, water consumption, hazardous waste disposal, worker health indicators, and ESG performance metrics.

Yes. The carbon management module records activity data across fuel combustion, purchased energy, and supply chain activities to calculate standard emissions profiles.

It monitors hazardous and non-hazardous waste generation, disposal permits, vendor certifications, manifest documents, and recycling performance across facilities.

Yes. It records continuous ambient and stack emissions data manually or via connected sensors, alerting managers when concentration thresholds exceed legal limits.

Yes. Real-time dashboards compile environmental metrics into standardized formats suitable for corporate ESG disclosures and stakeholder reporting.

Workflows, checklists, and reporting rules are fully configurable, allowing administrators to update compliance requirements as local regulations evolve.

Yes. NeoEHS provides native and responsive mobile apps for Android and iOS devices, enabling field personnel to execute safety tasks directly on site.

Yes. Users can fill out inspection checklists, log hazards, and take photos offline. Data synchronizes automatically with the central server once connectivity is restored.

Field users can complete incident reports, submit observations, sign permit-to-work requests, conduct audits, update action items, and view SDS documents on mobile.

Yes. Pre-built APIs and integration connectors allow data exchange with platforms like SAP, Oracle, Microsoft Dynamics, Workday, and custom databases.

Yes. NeoEHS allows direct data connectivity with Power BI and Tableau to blend safety performance metrics into broader executive reporting dashboards.

The platform accepts data feeds from environmental sensors, smart helmets, gas detectors, wearable fatigue monitors, and machinery diagnostics via standard IoT protocols.

Yes. Video stream integrations allow computer vision models to analyze real-time site feeds for physical hazard identification and safety monitoring.

The mobile app utilizes device GPS for precise location tagging and allows camera attachment for photo/video evidence within inspection and incident forms.

Yes. Instant mobile push notifications and SMS alerts can be triggered for critical incident notifications, permit approvals, and high-risk weather alerts.

Yes. Secure RESTful APIs and documentation are made available during implementation to facilitate custom enterprise integrations.

Typical implementations range from 4 to 12 weeks depending on scope, selected module count, custom workflows, site numbers, and integration complexity.

Stages include: 1. Discovery → 2. Solution Design → 3. System Configuration → 4. Data Migration → 5. System Integration → 6. Testing → 7. User Training → 8. Go-Live → 9. Support.

Yes. NeoEHS is predominantly deployed as a cloud-hosted SaaS platform, offering high availability, automatic updates, scale flexibility, and secure web/mobile access.

Yes. Flexible deployment architectures support dedicated private cloud instances or on-premise deployments for organizations with strict data residency policies.

Pricing is tailored according to chosen modules, total operating sites, active user tiers, customization level, and integration scope. Custom quotes are provided post-discovery.

The customer retains 100% ownership of all operational, personal, and site data stored within the platform, protected under strict contractual terms.

NeoEHS employs industry-standard encryption protocols (AES-256 for data at rest, TLS 1.3 in transit), regular penetration testing, role-based controls, and SOC-2 compliant hosting.

Yes. Role-specific training programs are delivered during implementation for system administrators, safety professionals, site managers, and field personnel.

Support packages include dedicated account management, multi-channel technical helpdesk, platform updates, annual maintenance (AMC) options, and ongoing optimization reviews.

Providing industry type, total employee headcount, number of operating facilities/countries, required software modules, and existing ERP/HRMS systems ensures an accurate proposal.