By Wale O. Wale O.
on No-Code & Workflow AI

LotusEye

Start no-code AI anomaly detection in minutes

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What Is LotusEye?

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LotusEye is a cloud-based AI anomaly detection platform built for time-series sensor data from industrial equipment and IoT environments. Users upload data from normal operations, train an AI model in a no-code interface, and then submit new sensor data to calculate anomaly scores. When scores exceed configured thresholds, LotusEye highlights potential issues so operators, engineers, and maintenance teams can investigate before failures escalate. The platform supports both manual file uploads and API-based data submission on eligible plans, with a free tier available for evaluating models and basic monitoring. Paid plans expand data capacity, sensor limits, storage periods, and management features, making LotusEye suitable for predictive maintenance, quality control, and continuous operational monitoring.

Quick Snapshot

LotusEye lets industrial teams deploy AI-driven anomaly detection on sensor data without writing code, so they can catch issues early and reduce downtime. Its web-based workflow and automated alerts turn raw data into actionable maintenance and quality insights.

Works on
  • Web
  • API
Pricing Model
Freemium
Starting at $13/month — LotusEye follows a freemium model with a free plan that supports one model and limited data usage. Paid plans starting around $13/month add API uploads, higher sensor limits, longer data retention, and expanded management and reporting features.
Fits on
Affiliate Program
We could not identify an affiliate program.
API Availability
LotusEye has an API available.
Key Features
  1. Deploy sensor anomaly detection with no coding
  2. Turn raw time-series data into early alerts
  3. Scale from free trials to industrial monitoring
Audience
  • manufacturing companies
  • industrial engineers
  • maintenance teams
  • IoT solution providers
  • operations managers
  • data analysts
URL
https://lotuseye.co.jp/en

Screenshot

LotusEye

Key Features of LotusEye

No-code model creation

Build anomaly detection models by uploading normal-operation sensor data through a web interface, without needing machine learning expertise or coding.

Time-series analysis

Specialized in analyzing time-series sensor data from equipment and processes to learn normal patterns and detect abnormal behavior.

Anomaly scoring

Generates anomaly scores for incoming data and highlights points where scores exceed thresholds so users can quickly focus on suspicious events.

Alerting and visualization

Automatically flags abnormal periods in the data so operators and engineers can visually inspect and assess potential issues.

API data submission

On eligible paid plans, supports API-based data uploads to integrate anomaly detection into existing systems and workflows.

Freemium access

Offers a free tier that allows users to build and test models with limited resources before upgrading to more feature-rich paid plans.

Use Cases for LotusEye

Predictive maintenance

Monitor equipment sensor data to detect abnormal behavior early, allowing maintenance teams to intervene before breakdowns and reduce unplanned downtime.

Quality control

Analyze production-line sensor signals to spot deviations from normal operation that may indicate quality issues, helping teams maintain consistent output standards.

Industrial monitoring

Continuously track industrial process data and receive alerts when anomaly scores rise, improving situational awareness across plants and facilities.

IoT device analytics

Use LotusEye to evaluate time-series data from IoT devices and identify abnormal usage or performance patterns without building custom ML models.

Operations optimization

Surface subtle anomalies in sensor data that point to process inefficiencies, enabling operations managers to refine workflows and improve reliability.

Frequently Asked Questions

What is LotusEye and who is it for?

LotusEye is a web-based AI anomaly detection platform for time-series sensor data, designed for manufacturing companies, industrial engineers, maintenance teams, IoT solution providers, operations managers, and data analysts.

Do I need coding or AI expertise to use LotusEye?

No. LotusEye provides a no-code interface where you can upload sensor data, train models, and monitor anomalies without writing code or having advanced AI knowledge.

How does LotusEye detect anomalies in sensor data?

You upload data from normal operations to train an AI model. LotusEye then analyzes new time-series sensor data, calculates anomaly scores, and flags points that exceed defined thresholds as potential anomalies.

Does LotusEye offer a free plan?

Yes. LotusEye offers a free plan that supports one model per account with basic features and limited data usage, allowing you to evaluate anomaly detection before upgrading.

What additional features do paid plans provide?

Paid plans add capabilities such as API-based data uploads, higher sensor limits, longer data storage, and expanded management and reporting features compared to the free tier.

Can LotusEye be integrated with existing systems?

Yes. On supported paid plans, LotusEye provides an API for submitting sensor data, enabling integration with your existing monitoring, IoT, or maintenance systems.

What types of use cases is LotusEye best suited for?

LotusEye is well-suited for predictive maintenance, quality control, and operational monitoring in industrial and IoT environments where time-series sensor data is available.

LotusEye · Our Verdict

LotusEye stands out by making industrial anomaly detection accessible to teams without in-house AI expertise. Its focus on time-series sensor data, no-code model creation, and clear anomaly scoring makes it a pragmatic choice for organizations looking to move from manual checks to automated monitoring.

Reviews 4.6 (1)

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