Datakwip
Building Analytics Software - Cloud Based, Artificially Intelligent | Datakwip.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor investor investor | €0.0 | round | |
* | $750k | Early VC | |
| Total Funding | 000k | ||
Datakwip operates as a business-to-business provider of a cloud-based analytics platform focused on the energy efficiency and smart building sector. Founded in 2015 by Cory Perdue, the company originated as a consulting firm and transitioned into a technology-focused entity. Perdue, who serves as CEO, drew upon over 15 years of experience in building automation and systems integration to address the challenge of utilizing underused data for operational improvements in commercial real estate. His background includes degrees in Electrical Engineering, Software Engineering and Management, and Mathematics, which informed the development of the company's core technology.
The company's primary offering is an enterprise software platform that integrates with a building's existing infrastructure—such as building automation systems (BAS), energy management systems (EMS), and IoT sensors—without requiring new hardware in most cases. This hardware-agnostic approach allows Datakwip to connect with disparate data sources, overcoming integration complexities to analyze energy consumption and identify inefficiencies. Key milestones include the platform's launch in 2017, the introduction of partner-focused tools in 2020, and the onboarding of its first VAD and OEM partners in 2021. Datakwip has secured approximately $1 million through three funding rounds, including a significant Seed round in 2021 led by TEDCO.
Datakwip's business model is centered on a "managed analytics service," delivered through a partner-centric go-to-market strategy. The company collaborates with partners, who in turn provide value-added services to their end customers, the building owners and operators. The platform's core features include a patented virtual submetering technology that creates real-time energy profiles for individual devices, a visual rules engine for creating custom analytics, and detailed dashboards for visualizing data. The service provides actionable insights for energy conservation, emissions reduction, and operational optimization, enabling clients to make data-driven decisions to reduce expenses, often by an average of 15%. The company serves a range of stakeholders, including building owners, property and asset managers, engineers, and sustainability heads.
Keywords: building analytics, energy management, proptech, cleantech, SaaS, IoT integration, energy efficiency, data analytics, smart buildings, virtual submetering