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Lucend

Lucend develops AI software that helps data centers optimize energy efficiency, improve reliability, and reduce operational costs without additional hardware.

Pending VerificationIndustrial & Infrastructure
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Founded
2023
Headquarters
Amsterdam, Netherlands
Team Size
11-50
Funding Stage
Seed

Overview

Lucend is a Transparent AI platform for data center optimization, built to help operators get daily clarity from the sensor data they already have. Formerly known as Coolgradient, the company focuses on helping data centers reduce firefighting, improve reliability, lower PUE, and get more performance from existing infrastructure without new hardware or new CapEx.

The platform connects to existing systems such as BMS, DCIM, and SCADA, then analyzes millions of signals across temperature, fan speeds, power draw, humidity, and other facility data. Lucend identifies hidden inefficiencies, diagnoses the cause, and delivers specific recommendations with projected impact. Each recommendation includes traceability, so operators can see how the insight was reached and decide whether, when, and how to act.

Lucend is designed around human-led decision-making rather than autonomous control. Its focus is on clear, verifiable recommendations that support operations teams, sustainability leaders, and executives across performance, maintenance, energy efficiency, and reporting. The company says customers can reach time to value in around six weeks, with no physical changes required.

Founded in 2023 by Jasper de Vries and René Gompel, Lucend is based in Amsterdam and raised $3.3 million in seed funding in January 2026.

How Lucend Works

01
STEP 01

Connect Infrastructure

The platform connects with existing building management systems, operational technology platforms, and facility sensors to continuously collect operational data.

02
STEP 02

Analyze Operations

Transparent AI evaluates billions of sensor readings to identify inefficiencies, equipment behavior, emerging issues, and optimization opportunities across the facility.

03
STEP 03

Generate Recommendations

The platform produces prioritized recommendations that explain the underlying issue, provide supporting evidence, and estimate the expected operational impact of each action.

04
STEP 04

Support Decision Making

Operators review AI-generated insights, verify the supporting data, and decide whether to implement recommendations using their existing maintenance and operational processes.

Details

Attribute
Information
Transparent AI
Analyzes existing operational data while providing verifiable data trails that explain how every recommendation was generated, allowing operators to validate AI findings before taking action.
Existing Infrastructure
Works with existing BMS, DCIM, SCADA systems, and facility sensors without requiring additional hardware or capital investment.
Operational Intelligence
Processes billions of sensor readings to uncover hidden patterns, operational inefficiencies, and equipment behaviors that may not be visible through conventional monitoring.
Daily Intelligence Briefing
Generates prioritized daily recommendations that explain what is happening, why it matters, and the expected operational impact of each suggested action.
Human Oversight
Keeps operators responsible for every operational decision by providing recommendations rather than automatically controlling infrastructure or equipment.
Workflow Compatibility
Integrates with existing maintenance processes, ServiceNow, ITSM platforms, asset management systems, and compliance workflows to reduce operational disruption.
Implementation Timeline
The company states customers typically begin receiving actionable recommendations within approximately six weeks after connecting existing operational systems.

Common Use Cases

Reducing energy consumption across data center cooling infrastructure
Identifying operational inefficiencies hidden within millions of sensor readings
Detecting equipment anomalies before they develop into critical failures
Prioritizing maintenance activities using AI-generated operational insights
Optimizing Power Usage Effectiveness (PUE) across data center facilities
Supporting sustainability initiatives by reducing power and water consumption
Providing daily operational recommendations for data center operators
Integrating AI insights into existing maintenance and IT service management workflows

Platform Evaluation

Platform Strengths

  • Uses existing facility data without requiring additional sensors or hardware investments
  • Provides explainable AI recommendations supported by transparent data trails
  • Keeps human operators in control of every maintenance and operational decision
  • Combines predictive insights with specific operational recommendations instead of only generating alerts
  • Integrates into existing maintenance, compliance, and operational workflows
  • Designed specifically for complex data center infrastructure and cooling optimization

Current Limitations

  • Focused specifically on data center operations rather than general industrial asset management
  • Platform effectiveness depends on access to operational sensor data from existing infrastructure
  • Public pricing information is not available
  • Implementation is intended for enterprise data center environments rather than small facilities

Frequently Asked Questions

Lucend is an AI-powered operational intelligence platform that helps data center operators identify inefficiencies, optimize energy usage, and improve infrastructure performance using existing operational data.

The platform analyzes billions of sensor readings, identifies hidden operational patterns, and delivers prioritized recommendations that operators can review before implementation.

No. The platform is designed to work with existing BMS, DCIM, SCADA systems, and facility sensors without requiring additional hardware.

No. The company states that every recommendation remains under human control, allowing operators to decide whether and when to implement suggested actions.

The platform is built for data center operators, facility managers, reliability teams, sustainability leaders, and organizations responsible for operating large-scale data center infrastructure.

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