Alternatives to LotusEye
Compare LotusEye alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to LotusEye in 2026. Compare features, ratings, user reviews, pricing, and more from LotusEye competitors and alternatives in order to make an informed decision for your business.
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wp2print
Print Science
wp2print is an e-commerce web-to-print system built specifically to help print providers sell products online. wp2print can sell digital, wide-format, book products, blueprints and more. wp2print has proofing and production management built right in. wp2print, based on WordPress, has a number of strong advantages: 1. Powerful pricing calculators for very accurate price calculations 2. File uploader that can handle any file format and unlimited file sizes 3. Award-winning Design Online tool 4. Public and Private stores 5. Open-source code allows for customization if required 6. Available for monthly rental and 1-time purchase -
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SkySpark
SkyFoundry
SkyFoundry’s software solutions help clients derive value from their investments in smart systems. Our SkySpark analytics platform automatically analyzes data from automation and control systems, metering systems, sensors and other smart devices to identify issues, patterns, deviations, faults and opportunities for operational improvements and cost reduction. SkySpark helps building owners and operators “find what matters” in the vast amount of data produced by today’s smart systems.Starting Price: $60.00/one-time -
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RemoteAware GenAI Analytics Platform
New Boundary Technologies
RemoteAware™ GenAI Analytics Platform for IoT transforms complex streams of sensor and device data into clear, actionable insights using advanced generative AI models. It ingests and normalizes high‑volume, heterogeneous IoT data, whether from edge gateways, cloud APIs, or remote assets, and applies scalable AI pipelines to detect anomalies, forecast equipment failures, and generate prescriptive recommendations in plain‑language narratives. Through a unified, web‑based dashboard, users gain real‑time visibility into key performance indicators, customizable alerts and threshold‑based notifications, and dynamic drill‑down capabilities for time‑series analysis. The platform’s generative summary reports condense vast datasets into concise operational briefs, while its root‑cause analysis and what‑if simulations guide preventive maintenance and resource allocation. -
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VictoriaMetrics Anomaly Detection
VictoriaMetrics
VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency. -
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Azure AI Anomaly Detector
Microsoft
Foresee problems before they occur with an Azure AI anomaly detection service. Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. AI Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it, in the cloud or at the intelligent edge. A powerful inference engine assesses your time-series dataset and automatically selects the right anomaly detection algorithm to maximize accuracy for your scenario. Automatic detection eliminates the need for labeled training data to help you save time and stay focused on fixing problems as soon as they surface. -
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Anomaly AI
Anomaly AI
Anomaly AI is a data analytics tool designed to handle large data sets. The platform is engineered with AI capabilities to automate the analysis of data and provide insightful, actionable outcomes. Via its comprehensive interface, users can create interactive and easily shareable dashboards. Anomaly AI supports various data upload formats including spreadsheets like Excel and CSV, and also connects with different databases like BigQuery and GA4. The platform is built to deal with significant data volumes, ensuring enterprise-grade security and intelligent data type detection. It optimizes data handling by scanning for quality issues, inconsistencies and anomalies in the data, facilitating the removal of duplicates, standardizing date formats and normalizing text fields among other operations.Starting Price: $25/month -
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MontBlancAI
MontBlancAI
MontBlancAI is the central intelligence hub for process manufacturers, ingesting and normalizing data from sensors, PLCs, SCADA, MES and ERP into a unified operational layer that eliminates data silos; it applies AI-powered real-time anomaly detection to surface deviations beyond traditional thresholds, generates actionable insights via intuitive dashboards and root-cause diagnostics, and delivers predictive maintenance and continuous improvement recommendations. Its unified data layer cleans and structures vast streams of process data, enabling teams to increase production capacity, reduce operating costs, ensure consistent quality, and address labor shortages by uncovering untapped capacity and validating critical cycles. Accessible through a web interface and APIs, MontBlancAI acts as a digital twin of your production ecosystem, fostering cross-functional collaboration and data-driven decision-making across plant operations. -
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Innovative Binaries
Innovative Binaries
Our aircraft structural health diagnostics and prognostics comprise the acquisition of large data sets from aircraft sensors (including several sub-systems-avionics, landing gear, engine, etc.). Data adapters will transform these data sets to a neutral format data lake. This transformation will enable almost real-time anomaly fault detection, isolation, and potential degradation alerts. Suggested actions will reduce operating costs and increase safety and reliability of the fleet. The platform captures isolated sources of data to reveal important information about the health of the engine. Our approach helps to detect anomalies by producing an early-warning detection system. The alerts increase fleet reliability. Line and hangar maintenance shops can be assured of higher parts availability, higher throughput, reduced no-fault-found (NFF) incidences, parts inventory, and maintenance costs.Starting Price: $300.00/month -
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Amazon Lookout for Equipment
Amazon
Use data from existing sensors to create machine learning (ML) models specific to your equipment. Respond with speed and precision with automatic equipment monitoring that pinpoints anomalous sensors. Accelerate issue resolution with immediate notifications and automatic actions when anomalies are detected. Improve model performance and accuracy of alerts by incorporating anomaly trends and feedback. Amazon Lookout for Equipment is an ML industrial equipment monitoring service that detects abnormal equipment behavior so you can act and avoid unplanned downtime. Avoid unplanned downtime by automatically detecting abnormal equipment behavior. Lookout for Equipment automatically analyzes sensor data for your industrial equipment to detect abnormal machine behavior. This allows you to detect equipment anomalies with speed and precision, quickly diagnose issues, and act to avoid unplanned downtime, with no ML experience required. -
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Proofpoint Adaptive Email DLP
Proofpoint
Proofpoint's Adaptive Email Data Loss Prevention (DLP) is an advanced solution that leverages behavioral AI to safeguard organizations from both accidental and intentional data loss via email. By analyzing employees' typical email behaviors, trusted relationships, and methods of handling sensitive information, it detects anomalies that may indicate potential data breaches. Proofpoint Adaptive Email DLP identifies and prevents emails sent to unintended recipients, a common source of data breaches, by understanding standard communication patterns and flagging deviations. Adaptive Email DLP alerts users in real-time if an unusual or incorrect file is attached, reducing the risk of inadvertently sharing sensitive information. Real-time warnings educate users about risky behaviors, promoting better security practices and reducing future incidents. -
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Amazon Lookout for Metrics
Amazon
Reduce false positives and use machine learning (ML) to accurately detect anomalies in business metrics. Diagnose the root cause of anomalies by grouping related outliers together. Summarize root causes and rank them by severity. Seamlessly integrate AWS databases, storage services, and third-party SaaS applications to monitor metrics and detect anomalies. Automate customized alerts and actions when anomalies are detected. Automatically detect anomalies within metrics and identify their root causes. Lookout for Metrics uses ML to detect and diagnose anomalies within business and operational data. Detecting unexpected anomalies is challenging since traditional methods are manual and error-prone. Lookout for Metrics uses ML to detect and diagnose errors within your data, with no artificial intelligence (AI) expertise required. Identify unusual variances in subscriptions, conversion rates, and revenue, so you can stay on top of sudden changes. -
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Fizix
Fizix
Fizix's Mate is a cloud-based smart machine health monitoring platform that enables users to oversee machinery through a secure, web-based interface accessible from any internet-connected device. It offers real-time anomaly detection and fault prediction by analyzing machine attributes, operational conditions, and sensor data, utilizing machine learning algorithms to enhance predictive accuracy over time. The platform's digital twin-based architecture allows for easy design and monitoring of machine systems, while providing alarm notifications and integration with external systems like ERP and CMMS for comprehensive maintenance planning. -
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LidarView
Kitware
LidarView is an open source platform developed by Kitware for real-time visualization, recording, and processing of 3D LiDAR data. Built atop ParaView, it efficiently renders large point clouds and offers features such as 3D visualization of time-stamped LiDAR returns, a spreadsheet inspector for attributes like timestamp and azimuth, and the ability to display multiple data frames simultaneously. Users can input data from live sensor streams or recorded .pcap files, apply 3D transformations to point clouds and manage subsets of laser data. LidarView supports various sensors, including models from Velodyne, Hesai, Robosense, Livox, and Leishen, enabling visualization of live streams and replaying of recorded data. The platform integrates advanced algorithms for Simultaneous Localization and Mapping (SLAM), facilitating accurate environmental reconstruction and sensor localization. It also incorporates AI and machine learning capabilities for scene classification.Starting Price: Free -
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IBM Z Anomaly Analytics is software that provides intelligent anomaly detection and grouping to proactively identify operational issues in your enterprise environment. IBM Z Anomaly Analytics uses historical IBM Z log and metric data to build a model of normal operational behavior. Real-time data is then scored against the model to detect anomalous behavior. A correlation algorithm then groups and analyzes anomalous events to proactively alert operation teams of emerging problems. Your essential services and applications must always be available in today's digital environment. For enterprises with hybrid applications, including IBM Z, detecting and determining the root cause of hybrid application issues has become more complex with rising costs, skill shortages, and changing user patterns. Proactively identify operational issues and avoid costly incidents by detecting anomalies in both log and metric data.
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Anomaly detection in time series data is essential for the day-to-day operation of many companies. With Timeseries Insights API Preview, you can gather insights in real-time from your time-series datasets. Get everything you need to understand your API query results, such as anomaly events, forecasted range of values, and slices of events that were examined. Stream data in real-time, making it possible to detect anomalies while they are happening. Rely on Google Cloud's end-to-end infrastructure and defense-in-depth approach to security that's been innovated for over 15 years through consumer apps like Gmail and Search. At its core, Timeseries Insights API is fully integrated with other Google Cloud Storage services, providing you with a consistent method of access across storage products. Detect trends and anomalies with multiple event dimensions. Handle datasets consisting of tens of billions of events. Run thousands of queries per second.
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hIOTron
hIOTron
hIOTron's machine monitoring product is a comprehensive solution that enables you to monitor and analyze your industrial machines in real-time. With this product, you can track machine performance, detect anomalies, predict failures, and schedule maintenance activities to improve uptime and reduce downtime. The machine monitoring product consists of a range of sensors and devices that collect data from your machines, such as temperature, pressure, vibration, and other operational parameters. This data is then transmitted to a central hub where it is analyzed using advanced analytics and machine learning algorithms to identify patterns and trends. hIOTron platform provides a user-friendly dashboard that displays real-time machine data, key performance indicators, and alerts. It also provides reports and analytics to help you understand your machine performance and identify areas for improvement. -
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SensorCloud
LORD Corporation
SensorCloud is a unique sensor data storage, visualization and remote management platform that leverages powerful Cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis. SensorCloud's core features include FastGraph, MathEngine®, LiveConnect, and the OpenData API. SensorCloud allows you to easily create dashboards to visualize all of your data. Dashboards can be as simple as a single Timeseries Graph widget, or advanced with Radial Gauges, Text Charts, Linear Gauges, FFTs, Statistics, etc. Since SensorCloud allows you to upload as much data as you want, and LORD's sensors can sample at very high rates, it was important to be able to quickly visualize massive amounts of data. We struggled to find any application that could handle even a few gigabytes of data, so we started from the ground up with our own unique algorithm.Starting Price: $35 per month -
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Telmai
Telmai
A low-code no-code approach to data quality. SaaS for flexibility, affordability, ease of integration, and efficient support. High standards of encryption, identity management, role-based access control, data governance, and compliance standards. Advanced ML models for detecting row-value data anomalies. Models will evolve and adapt to users' business and data needs. Add any number of data sources, records, and attributes. Well-equipped for unpredictable volume spikes. Support batch and streaming processing. Data is constantly monitored to provide real-time notifications, with zero impact on pipeline performance. Seamless boarding, integration, and investigation experience. Telmai is a platform for the Data Teams to proactively detect and investigate anomalies in real time. A no-code on-boarding. Connect to your data source and specify alerting channels. Telmai will automatically learn from data and alert you when there are unexpected drifts. -
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Google Cloud Inference API
Google
Time-series analysis is essential for the day-to-day operation of many companies. Most popular use cases include analyzing foot traffic and conversion for retailers, detecting data anomalies, identifying correlations in real-time over sensor data, or generating high-quality recommendations. With Cloud Inference API Alpha, you can gather insights in real-time from your typed time-series datasets. Get everything you need to understand your API queries results, such as groups of events that were examined, the number of groups of events, and the background probability of each returned event. Stream data in real-time, making it possible to compute correlations for real-time events. Rely on Google Cloud’s end-to-end infrastructure and defense-in-depth approach to security that’s been innovated on for over 15 years through consumer apps. At its core, Cloud Inference API is fully integrated with other Google Cloud Storage services. -
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Protect business service-level agreements with dashboards to monitor service health, troubleshoot alerts and perform root cause analysis. Reduce MTTR with real-time event correlation, automated incident prioritization and integrations with ITSM and orchestration tools. Use advanced analytics like anomaly detection, adaptive thresholding and predictive health scores to monitor KPI data and prevent issues 30 minutes in advance. Monitor performance the way the business operates with pre-built dashboards that track service health and visually correlate services to underlying infrastructure. Use side-by-side displays of multiple services and correlate metrics over time to identify root causes. Predict future incidents using machine learning algorithms and historical service health scores. Use adaptive thresholding and anomaly detection to automatically update rules based on observed and historical behavior, so your alerts never become stale.
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21
Sweet
Sweet
We use pivotal runtime insights to cut through cloud security's noise and focus on the risks that matter. In the real world, attackers are opportunistically paving their way through your cloud infrastructure while runtime risks are on the rise. Get your “boots on the cloud” with Sweet’s patent-pending, eBPF-based sensor to establish your organizational baseline for what’s normal. Receive critical runtime insights that augment operations across the entire cloud security stack. Sweet’s dynamic profiling finds runtime anomalies, allowing you to address live cloud risks. eBPF-based sensor serves deep, real-time insights, without performance or cost drawbacks. Find zero-day cloud attacks in real-time, get actionable attack stories, and minimal noise. Sweet’s approach elevates the ability of security teams to shut down cloud attacks when they occur, where they occur, with maximum precision and minimal business disruption. -
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Arcas
BigBear.ai
BigBear.ai’s integration of computer vision, predictive analytics, and event alerting technology revolutionizes data analysis at the edge. Leveraging AI and machine learning, our advanced systems sift through vast datasets to uncover insights beyond human reach, effectively eliminating blind spots and augmenting situational awareness. Arcas synthesizes millions of data points to enhance situational awareness and powers predictive forecasts with artificial intelligence and machine learning. It intelligently processes video streams and generates real-time alerts upon detecting anomalies. Through our adaptable analytics framework, Arcas not only monitors past events but also projects future trends, empowering leaders to make informed decisions with confidence. Seamlessly integrate disparate data sources such as sensors and edge devices, unifying them into a universally accessible format. -
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Concentio
Scry AI
Predictive and prescriptive analysis of data received from various IoT data sources, including sensor, device, equipment or network enabling the users to take actions in real time on probable anomalies detected. Concentio® IoT Doctor can ingest data from numerous IoT data sources and alert the user of bad incoming data so that the inherent problem is fixed the data is not further used for descriptive, predictive or prescriptive analytics. Concentio® Production Line Fault Prediction performs the AI-based predictive analysis of the production line components using the IoT Data, videos, images, etc. Concentio® Optimal Asset Management analyzes the data coming in from the network of assets that provide utility services enabling the user to ensure timely maintenance of the network. Reduced capital expenditures by driving asset replacement decisions. -
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Fasoo RiskView
Fasoo
Flag suspicious files and user activities that indicate sufficient risk for intervention by business management. This user and entity behavior analytics (UEBA) solution applies sophisticated rule-based modeling to data sources to establish normal patterns of behavior and help determine suspicious activities. Analysis can reduce the possibility of insider threats since they are difficult to detect due to privileged users having specific knowledge of security controls and methods to bypass them. Detect event anomalies, such as logins with user IDs of former employees, a given user logging in from multiple locations simultaneously, or unauthorized users retaining an excessive number of sensitive files. Monitor file-based risks, such as unauthorized users’ attempts to decrypt confidential files. Monitor user-based risks, such as decrypting files more frequently than usual, printing more files than usual after regular business hours, or sending files to external recipients more than usual. -
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sensemetrics
sensemetrics
Secure access to state-of-the-art data visualization and analytics, when and where you need it. Advanced device management controls, diagnostics, and analytics for distributed sensor networks. Create customized image-based visualizations with embedded sensor data and associated alert status. Build data tables consisting of raw and calculated metrics for simple viewing, comparison, and export. Record and journal modifications to system and sensor properties across the project lifecycle. Define conditions for calculation of user-defined threshold exceedance, and flexible notification distribution. Import critical documents, photos, inspection records, and event data as a record of project progress and performance. Powerful tools for report creation and distribution, and linking reports to real-time charts, graphs, maps, and dashboards. -
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evoML
TurinTech AI
evoML accelerates the creation of production-quality machine learning models by streamlining and automating the end-to-end data science workflow, transforming raw data into actionable insights in days instead of weeks. It automates crucial steps, automatic data transformation that detects anomalies and handles imbalances, feature engineering via genetic algorithms, parallel model evaluation across thousands of candidates, multi-objective optimization on custom metrics, and GenAI-based synthetic data generation for rapid prototyping under data-privacy constraints. Users fully own and customize generated model code for seamless deployment as APIs, databases, or local libraries, avoiding vendor lock-in and ensuring transparent, auditable workflows. EvoML empowers teams with intuitive visualizations, interactive dashboards, and charts to identify patterns, outliers, and anomalies for use cases such as anomaly detection, time-series forecasting, and fraud prevention. -
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PreCognize
PreCognize
In the process industry where everything is connected to everything, and there are very few historical events, you never know where the next failure will show up. We monitor everything. Our software detects quality issues, failures in rotating and static equipment, deviations in operation modes, and process behavior. Don’t waste time on hundreds of false alarms. Instead of hundreds of anomalies a day, we produce up to five actionable alerts a day. Get notified of a failure a week to 24 hours in advance. No more surprises in the middle of the night. Planned, proactive maintenance saves money. Industrial assets require a different approach. We automatically combine your experts’ knowledge with machine learning to achieve a unique predictive monitoring solution. Your sensors and data already exist. It takes only two weeks for your process engineer to specify the plant’s structure and behavior, and the software is up and running! -
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Securing against unknown threats through user and entity behavior analytics. Discover abnormalities and unknown threats that traditional security tools miss. Automate stitching of hundreds of anomalies into a single threat to simplify a security analyst’s life. Use deep investigative capabilities and powerful behavior baselines on any entity, anomaly or threat. Automate threat detection using machine learning so you can spend more time hunting with higher fidelity behavior-based alerts for quick review and resolution. Rapidly identify anomalous entities without human analysis. Rich set of anomaly types (65+) and threat classifications (25+) across users, accounts, devices and applications. Rapidly identify anomalous entities without human analysis. Rich set of anomaly types and threat classifications (25+) across users, accounts, devices and applications. Organizations gain maximum value to detect and resolve threats and anomalies via the power of human and machine-driven solutions.
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Nixtla
Nixtla
Nixtla is a platform for time-series forecasting and anomaly detection built around its flagship model TimeGPT, described as the first generative AI foundation model for time-series data. It was trained on over 100 billion data points spanning domains such as retail, energy, finance, IoT, healthcare, weather, web traffic, and more, allowing it to make accurate zero-shot predictions across a wide variety of use cases. With just a few lines of code (e.g., via their Python SDK), users can supply historical data and immediately generate forecasts or detect anomalies, even for irregular or sparse time series, and without needing to build or train models from scratch. TimeGPT supports advanced features like handling exogenous variables (e.g., events, prices), forecasting multiple time-series at once, custom loss functions, cross-validation, prediction intervals, and model fine-tuning on bespoke datasets.Starting Price: Free -
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Avora
Avora
AI-powered anomaly detection and root cause analysis for the metrics that matter to your business. Using machine learning, Avora autonomously monitors your business metrics 24/7 and alerts you to critical events so that you can take action in hours, rather than days or weeks. Continuously analyze millions of records per hour for unusual behavior, uncovering threats and opportunities in your business. Use root cause analysis to understand what factors are driving your business metrics up or down so that you can make changes quickly, and with confidence. Embedded Avora’s machine learning capabilities and alerts into your own applications, using our suite of APIs. Get alerted about anomalies, trend changes and thresholds via email, Slack, Microsoft Teams, or to any other platform via Webhooks. Share relevant insights with other team members. Invite others to track existing metrics and receive notifications in real-time. -
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LogicLadder
LogicLadder
Achieve your net zero vision with a single platform. IoT Gateways and Edge Gateways help you acquire real time data on energy, water and emission directly from sensors or automation systems. Automated workflows and data scheduling to collect data accurately and with speed. Acquire data across your value chain. Acquire all your sustainability data into single repository with our powerful third party integrations and API. Full auditable record of data generation, change request and correction. Automated data checks and anomaly detection for keeping your data clean and disclosure grade. Setup permissions, workflows and validation rules for automated and manual data correction. -
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PingOne Protect
Ping Identity
Prevent account takeover, new account fraud, and MFA fatigue with PingOne Protect. By evaluating multiple attack vectors, assigning risk scores, and providing insights, PingOne Protect triggers mitigation tools to block attacks and allow legitimate users to authenticate easily. PingOne Protect’s intelligence-based policies combine the results of multiple risk predictors to calculate an overall risk score. The score correlates to policies that determine the type and amount of friction to introduce into the user flow, such as CAPTCHA, password resets, selfie verification, and push notifications. Optimize scores for each predictor, aggregate predictors, add signals from third parties, and create overrides. Predictors include bot detection, IP velocity, user velocity, velocity anomaly, user location anomaly, IP reputation, anonymous network, user risk behavior, user-based risk model, new device detection, suspicious device detection, and custom/third-party predictors. -
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IBM® Z® Operations Analytics is a tool that enables you to search, visualize and analyze large amounts of structured and unstructured operational data across IBM Z environments, including log, event and service request data and performance metrics. Leverage your analytics platform and machine learning to gain enterprise visibility, identify issues in your workloads, locate hidden problems and perform root cause analysis faster. Use machine learning to baseline normal system behavior and detect operational anomalies. Detect emerging issues across services, so you can proactively alert and cognitively adjust to changes. Gain expert advice for corrective actions and greater service assurance. Identify unusual workload behaviors. Locate common issues hidden in operational data. Reduce time required for root cause analysis. Harness the domain expertise of IBM Z. Leverage IBM Z insights on your analytics platform.
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Yamak.ai
Yamak.ai
Train and deploy GPT models for any use case with the first no-code AI platform for businesses. Our prompt experts are here to help you. If you're looking to fine-tune open source models with your own data, our cost-effective tools are specifically designed for the same. Securely deploy your own open source model across multiple clouds without the need to rely on third-party vendors for your valuable data. Our team of experts will deliver the perfect app tailored to your specific requirements. Our tool enables you to effortlessly monitor your usage and reduce costs. Partner with us and let our expert team address your pain points effectively. Efficiently classify your customer calls and automate your company’s customer service with ease. Our advanced solution empowers you to streamline customer interactions and enhance service delivery. Build a robust system that detects fraud and anomalies in your data based on previously flagged data points. -
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Machbase
Machbase
Machbase, a time-series database that stores and analyzes a lot of sensor data from various facilities in real time, is the only DBMS solution that can process and analyze big data at high speed. Experience the amazing speed of Machbase! It is the most innovative product that enables real-time processing, storage, and analysis of sensor data. High speed sensor data storage and inquiry for sensor data by embedding DBMS in an Edge devices. Best data storage and extraction performance by DBMS running in a single server. Configuring Multi-node cluster with the advantages of availability and scalability. Total management solution of Edge computing for device, connectivity and data. -
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Embiot
Telchemy
Embiot® is a compact, high performance IoT analytics software agent for IoT gateway and smart sensor applications. This edge computing application is small enough to integrate directly into devices, smart sensors and gateways, but powerful enough to calculate complex analytics from large amounts of raw data at high speed. Internally, Embiot uses a stream processing model to enable it to handle sensor data that arrives at different rates and out of order. It has a simple intuitive configuration language and a rich set of math, stats and AI functions making it fast and easy to solve your analytics problems. Embiot supports a range of input methods including MODBUS, MQTT, REST/XML, REST/JSON, Name/Value and CSV. Embiot is able to send output reports to multiple destinations concurrently in REST, MQTT and custom text formats. For security, Embiot supports TLS selectively on any input or output stream, HTTP and MQTT authentication. -
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Sensing Feeling
Sensing Feeling
Sensing Feeling offers a suite of advanced visual sensing products designed to enhance safety, efficiency, and risk management in real-world environments. SensorMAX, integrates with existing CCTV and control systems to provide real-time video analytics without recording or transmitting images, ensuring privacy. The Visual Processing Engine (VPE) operates at the edge, connecting to current Video Management Systems (VMS) or Network Video Recorders (NVR), processing feeds simultaneously. SensorMAX supports a range of algorithms for applications like crowd density monitoring, anomaly detection, and PPE compliance, and can interface with SCADA systems for automated alerts and responses. SensorCODE is tailored for embedding into low-power IoT edge systems, facilitating continuous remote sensing with real-time telemetry over networks like WiFi, LoRaWAN, and 4G/5G. -
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SnugFit O&P 3D Scanner
Xyken
The SnugFit O&P 3D Scanner app, developed through the support of the National Institutes of Health, instantly captures 3D data of the body part (FO, AFO, knee, torso, and head) for prescription made orthotics or prosthetics. The 3D body scanner app does not need an external structured light sensor. Instead, it uses an iPhone or iPad's front facing TrueDepth sensor for 3D acquisition. It is easy to use with features including, for example, initial scan positioning indicator, no losing track, free of manual noise cleaning process, better data handling for iPhone 13/14, and one click to upload the scan data and prescription to the cloud for calculating 3D dimensions and using the CAD/CAM tools for orthotics and prosthetics custom design and manufacturing. SnugFit O&P is built on our highly ranked SureScan 3D Scanner app, but with more advanced 3D/AI algorithms for better noisy data handling, even more ease of use, and further 3D accuracy improvement etc. -
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Fortifyedge IoT Platform
Fortifyedge
Cyber Physical security through Sensor Fusion & Analytics. Situational awareness of your critical infrastructure. Fortifyedge provides improved situational awareness of your critical infrastructure such as fixed and remote assets from perimeter monitoring, waste management, utility usage and protection. Utilizing sensor fusion and analytics from across your ecosystem. Employing our IoT edge computing, tiny machine learning to detect anomalies wherever your assets reside. Fortifyedge is a USAF AFWERX SBIR Awardee, USAF TechStars Accelerator Alumni Company and Multi Award winner for Cyber and Physical security for defense, critical infrastructure and NIST, Behavioral Authentication for first responders. Protecting your critical infrastructure Fortifyedge IoT Platform. Improved situational awareness of responding personnel for incident awareness and analysis. Positive identification at entry control points and then track individual personnel in the secure zone -
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NovoHealth Dental
NovoDynamics
Our platform automatically flags and prioritizes anomalous claims for review. NovoHealth Dental ensures exceptional claim quality and offers real-time analysis. Our platform provides accurate and consistent dental disease assessment. The future of dental claims processing is here. Our proven AI platform is in use within some of the country's largest dental payer organizations. We offer pilots to demonstrate the value of our solution. NovoHealth Dental saves time and money by making dental insurance claim review faster, easier and more efficient. It helps your analysts uncover anomalies that may indicate errors, omissions or potential fraud. We use AI to quickly verify and assess the quality of submitted claims and their attachments. The platform quickly, accurately, and consistently assesses dental diseases. Our AI fingerprints and analyzes every claim and attachment to detect high-confidence anomalies. -
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Nutanix Cloud Manager
Nutanix
A unified solution for providing intelligent operations, self-service and orchestration, security compliance and visibility, and control of cloud costs. Nutanix Cloud Manager brings simplicity and ease of use to building and managing cloud deployments and delivers faster time to value for our customers. Streamline management, deployment, and scale applications with self-service and centralized role-based IT governance. Drive financial accountability and unify security operations with intelligent analysis and regulatory compliance. With a few clicks, IT teams can automate their day-to-day operational tasks. They can build automation and improve operations productivity with ease and confidence with zero coding. When detecting the performance of a VM deviates from its normal behavior significantly, it raises an anomaly alert automatically. There is no configuration needed. -
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Kavout
Kavout
Research backed and validated equity factors and signals, delivered as automated data-feed to systematic and quantitative investment professionals, that are timely and cost effective. A derived equity rating score between 0 and 9 with high K Scores indicating higher probability of out-performance. Quantitative buyside firms overlay K Score with their investment models as buy/sell signals. We applied machine learning methodologies and ranking algorithms of over 200 factors and signals including fundamental, price/volume and alternative data. Access the newest researched factors, anomalies, and signals in minutes rather than weeks. Save time and money to conduct research and validate factors in-house. Delivered as automated data-feed, long history, and broad coverage, all at your finger-tips. The benefit of an ETF with more control. Partner with Kavout to design index enhancing portfolios, or whether sector specific or cross-sector. -
43
Anomalia
Scry AI
Anomalia® uses proprietary AI-Algorithms to identify potential fraud, risk, conflict and non-compliance in financial and legal engagements at transactional level. Anomalia® anomaly detection in ACH Transactions uses customer’s transactional as well as behavioral data to detect anomalies in ACH transactions and prevents fraudulent transactions. Anomalia® anomaly detection in mobile check deposits analyzes authenticity of mobile checks, accounts in which they are deposited and their geo-spatial mobile deposit locations to detect potential fraud in transactions. Anomalia® anomaly detection in wire transactions analyzes originators, beneficiaries and their anomaly scores derived from other wire transactions to detect and prevent potential frauds. Anomalia® anti money laundering performs analyzes on various transactions, entities and their linkages for enhanced due diligence to detect potential money laundering transactions. -
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Apache Kudu
The Apache Software Foundation
A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a single column like a unique user identifier, or a compound key such as a (host, metric, timestamp) tuple for a machine time-series database. Rows can be efficiently read, updated, or deleted by their primary key. Kudu's simple data model makes it a breeze to port legacy applications or build new ones, no need to worry about how to encode your data into binary blobs or make sense of a huge database full of hard-to-interpret JSON. Tables are self-describing, so you can use standard tools like SQL engines or Spark to analyze your data. Kudu's APIs are designed to be easy to use. -
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Pillar2
TaxModel International
Pillar2 is a state-of-the-art SaaS solution that de-risks, simplifies, and optimises global Pillar Two compliance and reporting by strengthening tax control frameworks and streamlining end-to-end processes. It supports all core OECD model calculations and local legislative requirements, automates XML-based GIR and upcoming QDMTT returns, and ensures any top-up tax due is accurate with full audit-trail visibility of every change, note, user, and timestamp. Data can be imported via Excel or API from central systems or local operations, reducing errors and saving time, while an extensive dashboard and GenAI-powered insights monitor tax positions, deadlines, and anomalies. Role-based access control enforces least-privilege permissions, and secure data storage in the UK or EEA enables collaboration with internal teams and external advisers. Continuous improvement is driven by automated offsets and allocations with manual adjustment options, structured review workflows and more. -
46
Infrabase
Infrabase
Infrabase is an AI‑powered DevOps agent that continuously scans GitHub infrastructure-as-code (IaC) in context to detect and flag security vulnerabilities, cost anomalies, and policy violations before they reach production. It integrates with GitHub via an app, securely indexes repositories (without storing raw code), and uses LLMs such as Claude, Gemini, or OpenAI to generate natural-language review checklists. Developers can define custom guardrails using Markdown-based rules instead of complex policy languages. On each pull request, Infrabase provides blast-radius insights, severity scoring, and even merge-blocking triggers for critical issues. It highlights deviations from internal coding patterns and uncovers hidden costs or poorly configured resources. -
47
Spike
Spike
Connect your app to users’ real-time data from 300+ devices via a single API. Make that data usable with our white-label AI/ML services. One API with access to all the major wearable and IoT providers. Start testing right away with our easy-to-implement and well-documented API and shorten your development cycles. Enhance the functionality and UX of your application. Deliver personalized insights and increase user retention. Access wearables data in both raw and structured/normalized format while we maintain provider API upgrades, monitor new sensor releases, and API version control so that you don’t have to. Connect to Spike from any platform of your choice with as little as a few lines of code. Receive data that makes sense in an easily digestible format. Leave all that boilerplate management to us and concentrate on building value for your users. Spike technology, REST API end-points, and cloud architecture are designed with data privacy and security at heart. -
48
ThetaRay
ThetaRay
A risk-based approach to AML, powered by AI, allows you to satisfy regulators, save time and money, and grow your business. ThetaRay’s AI-powered AML transaction monitoring and screening solution enables fintechs, banks, and regulators to embed trust in cross-border and domestic payments while driving financial growth. ThetaRay uses proprietary and patented algorithms to efficiently detect anomalies in unlimited data sets and reliably pinpoint suspected cases of money laundering in transactions with virtually no false positives. Identifying risks more accurately and precisely enables you to grow business with partners in countries and segments considered high risk. AI analysts cut more than 50% of the time spent on investigations, reducing the overall cost of compliance. Unbiased AI gives the system the power to recognize anomalies and find unknowns outside of normal behavior, including completely new typologies. -
49
eguana SCALES
eguana GmbH
eguana SCALES is a comprehensive digital platform for construction and tunnelling that centralizes production, sensor, and machine data from any manufacturer into a single, real-time system. Acting as a single source of truth, it supports processes such as grouting, drilling, piling, anchoring, and water management. The platform automatically detects anomalies, streamlines quality control, invoicing, and reporting, and delivers clear, actionable insights. Its advanced 3D visualization allows users to explore site data in spatial context, simplifying complex geometries and improving communication. By integrating all site information, SCALES enhances collaboration, reduces errors, ensures consistency, and empowers teams to make data-driven decisions, improving efficiency, transparency, and project outcomes across every phase of construction. -
50
NIRA
NIRA
NIRA Dynamics Automotive Software is a set of embedded and connected vehicle software solutions that use advanced sensor fusion, vehicle data, and connected cloud insights to enhance vehicle safety, driver support, and dynamic decision-making across modern cars, electric vehicles, and autonomous systems. It enables vehicles with 60–200 on-board sensors to create virtual sensors and intelligent functions that improve performance and safety by integrating in-vehicle and connected data streams, strengthening driver assistance, and supporting autonomous features even in harsh conditions. Its portfolio includes functions such as Tire Pressure Indicator (TPI), Loose Wheel Indicator, Tire Grip Indicator, Road Surface Conditions, and Road Surface Alerts, which transform existing vehicle signals into actionable insights without additional hardware, reducing complexity and environmental impact while maintaining compliance with industry standards like AUTOSAR.
