The implementation process for Datakwip is designed to be fast and hardware-free, typically completed in under 24 hours. Here’s how it works:
Initial Assessment & Data Review
Datakwip’s team or partner reviews the building’s existing systems (BAS, IoT devices, meters) to confirm data availability and connectivity.
Secure Data Connection Setup
The platform connects to existing building automation systems and IoT sensors via open protocols (BACnet, Modbus, MQTT) or APIs. No new hardware is required.
Virtual Sub-Metering Configuration
Datakwip applies its patented virtual sub-metering technology to disaggregate whole-building energy data into granular system-level profiles.
Data Tagging & Normalization
Automated tagging organizes incoming data streams for consistency, enabling accurate analytics and reporting.
Rule Engine & Workflow Setup
Using the visual rules engine, operational rules and alerts are configured for anomaly detection, predictive maintenance, and energy conservation modeling.
Dashboard Customization
Custom dashboards are created to display KPIs, energy trends, and compliance metrics tailored to the client’s needs.
Testing & Validation
The system runs initial checks to validate data accuracy, rule performance, and alert functionality.
Go-Live & Managed Services
The platform is activated, and Datakwip’s managed services team monitors performance, provides audits, and ensures continuous optimization.
Timeline:
Most deployments are completed within 24 hours after connectivity is established, making Datakwip one of the fastest-to-implement energy management solutions.
Datakwip is highly customizable, offering flexibility across multiple dimensions:
Key Advantage:
Customization is achieved without heavy coding or hardware changes, thanks to Datakwip’s cloud-based architecture, visual rule engine, and secure API framework.
Datakwip’s pricing model is designed to minimize upfront costs. There are no hardware expenses because the platform uses virtual sub-metering and existing building data. Setup fees are typically zero for partners, and onboarding is completed in under 24 hours. Maintenance and updates are included in the subscription model, so customers do not pay extra for software upgrades. However, managed services—such as advanced analytics support, rule audits, and portfolio optimization—may incur additional charges depending on the scope. Custom integrations or API development for enterprise systems can also add costs. Overall, Datakwip’s cost structure focuses on subscription-based pricing with optional service add-ons rather than heavy upfront fees.
Datakwip provides comprehensive onboarding and ongoing support. Training includes:
Datakwip employs enterprise-grade security protocols to safeguard building and energy data:
Datakwip follows a continuous improvement model, releasing updates regularly to enhance analytics, integrations, and security. Updates typically include new features for the visual rules engine, dashboard enhancements, and API improvements. These updates are managed through cloud-based deployment, meaning customers receive them automatically without manual intervention or downtime. The platform also provides release notes and optional webinars to explain new functionalities, ensuring users stay informed and can leverage the latest tools immediately.
Datakwip maintains a customer-first data policy, meaning all building and energy data collected through the platform remains the property of the client. Users can export data at any time via secure APIs or downloadable reports, ensuring full portability for compliance, ESG reporting, or migration to other systems. This approach supports transparency and avoids vendor lock-in, which is critical for organizations managing large portfolios or adhering to strict data governance standards.
Datakwip is built for flexible scalability. Organizations can easily add new sites, expand integrations, or increase analytics depth without hardware changes, thanks to its cloud-based architecture and virtual sub-metering technology. Scaling down is equally straightforward—customers can reduce the number of monitored sites or adjust service tiers without penalties. This elasticity makes Datakwip ideal for enterprises with dynamic portfolios, seasonal operations, or evolving sustainability goals.
Datakwip does not publish explicit renewal or cancellation policies on its website. Based on standard SaaS practices (e.g., auto-renewal provisions, cancellation notice windows, opt-out mechanisms), the following considerations likely apply:
U.S. and EU laws (e.g., California Automatic Renewal Law; FTC updates effective May 2025) require:
Simple online cancellation options.
Including annual reminder notices about renewals.
