Top 50 Ai Model Monitoring in Europe

NannyML is an open-source Python library that estimates the performance of machine learning models in production without requiring access to target data, utilizing techniques like Confidence-Based Performance Estimation and Direct Loss Estimation. It addresses the issue of model degradation by detecting data drift and linking performance changes to specific features, enabling data scientists to maintain model accuracy and business value effectively.

The startup offers an artificial intelligence orchestration platform that simplifies model management, intelligent caching, and cost tracking for businesses. This platform enhances operational efficiency by optimizing performance and reducing costs, enabling seamless scalability.

The startup develops artificial intelligence governance software that provides certifiable and tamper-proof auditing for organizations utilizing AI models. This technology ensures compliance with regulatory requirements, enabling businesses to implement AI solutions with confidence.

Mindgard Ltd provides an AI security platform that identifies and mitigates vulnerabilities in AI models through automated security testing and continuous monitoring for adversarial attacks. This solution enables enterprises to enhance their AI security posture while integrating seamlessly with existing cybersecurity tools, ensuring efficient risk assessment and resource optimization.

The startup offers an AI-based platform that enables the development, measurement, and management of large language model (LLM) automation at scale. Its tool provides production-ready generative AI applications with semantic observability, allowing enterprises to continuously monitor LLM behavior and transform AI experiments into strategic assets.

The startup provides a software platform for financial institutions that utilizes artificial intelligence to automate inventory management, data processing, and the generation of regulatory-compliant documentation. This technology enhances operational efficiency and lowers costs by continuously monitoring data changes and performance metrics.

Tikos provides an AI assurance platform that helps organizations build and maintain trustworthy AI systems. It offers tools for model audit, assessment, and ongoing monitoring to ensure fairness, transparency, accuracy, and accountability, enabling compliance with AI regulations.

The startup develops edge AI management software that provides technical and financial oversight for edge AI deployments. Its platform optimizes model supervision, data compression, and system learning, enabling companies to efficiently scale edge AI products while controlling costs.

ITRS provides AI-powered observability and monitoring solutions for hybrid IT environments, enabling real-time insights into mission-critical applications and infrastructure. By contextualizing data across diverse technologies, ITRS reduces application outages by 80% and enhances decision-making for industries where downtime directly impacts business performance.

Safe Intelligence offers deep validation AI systems that rigorously test and improve the reliability of AI models. Their technology helps organizations ensure their AI systems perform as expected and meet required safety standards.

The startup operates an artificial intelligence-powered platform that visualizes the complete testing environment through intelligent sensors, providing real-time alerts for anomalous results via text and email. This technology enhances experimental reproducibility, enabling clients to refine their processes and accelerate product innovation across all development phases.

Giskard provides an automated testing platform for AI models that identifies performance, bias, and security issues, ensuring compliance with the EU AI Act. By streamlining the testing process, Giskard reduces the time spent on manual evaluations and enhances the consistency of AI quality and security practices across enterprise deployments.

QuantPi provides an AI Trust Platform that automates the testing and auditing of AI models for explainability and robustness. This platform enables organizations to ensure the reliability and compliance of their AI systems, facilitating informed decision-making and minimizing operational risks.

The startup develops production monitoring software that processes raw manufacturing data to provide real-time insights into production metrics. This technology helps manufacturers minimize resource waste and enhance operational efficiency.

The startup offers an automation-led compliance platform that utilizes dynamic risk modeling to provide real-time risk monitoring and alert resolution. This technology enables organizations to transition from periodic risk assessments to continuous oversight, optimizing compliance strategies while minimizing manual tasks and vendor navigation.

LatticeFlow provides a platform that ensures AI applications are validated, automated, and compliant with the EU AI Act, addressing the challenges of performance and trustworthiness in production environments. By integrating monitoring and risk assessment into the CI/CD pipeline, organizations can confidently deploy AI systems that meet regulatory standards and deliver reliable results.

Etiq provides a testing and monitoring tool for data pipelines and machine learning models, focusing on issues such as data drift, bias, and performance degradation. By automating the validation process, Etiq reduces debugging time and enhances the reliability of data-driven applications, allowing teams to focus on delivering value rather than troubleshooting errors.

Seldon is a machine learning deployment platform that enables organizations to deploy and manage models at scale, reducing deployment time from months to minutes. By providing production-ready inference servers and advanced experimentation tools, Seldon enhances operational efficiency and reduces infrastructure costs, delivering an average productivity gain of 85%.

Picsellia provides an end-to-end MLOps platform specifically designed for Computer Vision, enabling users to manage, label, and deploy visual data efficiently. The platform addresses challenges in data organization, annotation accuracy, and model performance monitoring, facilitating the development of high-quality AI applications.

Provides a scalable experiment tracking platform designed for training foundation models, enabling real-time monitoring, visualization of massive datasets, and precise comparison of thousands of metrics without downsampling. It addresses inefficiencies in existing tools by ensuring 100% data accuracy, responsive UI for large-scale runs, and features like run forking to optimize resource usage and reduce training costs.

NowVision offers an AI-powered platform for automated construction monitoring, comparing site conditions against project documentation in real-time. It detects deviations from design, schedule, and specifications, providing instant reports to ensure compliance, quality, and safety.

Haize Labs rigorously stress-tests AI models to identify and mitigate potential failure modes before deployment. This proactive approach enhances the robustness and reliability of AI applications across various industries and use cases.

Inspeq offers a governance platform that utilizes over 50 metrics and guardrails to evaluate and optimize the performance of generative AI applications, ensuring compliance with AI GRC standards. The platform addresses issues of reliability, safety, and bias in AI systems, significantly reducing development costs by 70% and improving model performance by 90%.

Enzai is an AI governance platform that provides compliance assessments and model monitoring to help organizations navigate regulatory requirements and mitigate reputational risks associated with AI systems. By centralizing AI system data and automating compliance processes, Enzai enables businesses to efficiently manage their AI governance and maintain customer trust.

Netdata provides a real-time observability platform that collects high-resolution metrics from various systems, containers, and applications, visualizing them on low-latency dashboards. It enables users to monitor performance, detect anomalies through machine learning, and receive automated alerts, all while ensuring data remains on-premises and minimizing resource consumption.

The startup offers an AI-as-a-service platform that aggregates data from various open and publicly accessible sources and applies machine learning models to enhance this data. Businesses can access enriched data and algorithm results through a user-friendly interface or API, facilitating informed decision-making without the need for extensive data processing expertise.

VALIDIO provides a machine learning-powered data platform that automates data quality monitoring and observability across data lakes, warehouses, and real-time streams. The platform enables data teams to quickly identify and resolve data issues, ensuring reliable metrics and accelerating the deployment of AI and machine learning applications.

The startup offers a software platform that enhances infrastructure asset management by utilizing data from on-site sensors and satellite imagery, combined with artificial intelligence and structural engineering principles. This technology enables users to continuously monitor the structural health of assets, ensuring safety for both the infrastructure and its surrounding environment.

Themis AI offers Capsa, a model-agnostic platform that integrates uncertainty quantification into any AI model, enabling developers to identify and correct unreliable outputs. By providing real-time risk assessments, Capsa enhances AI quality assurance and compliance, reducing costs associated with AI deployment and accelerating time to market.

The startup develops an AI platform for industrial machines that enables rapid training of complex visual inspection tasks by workers. This technology enhances the efficiency of quality control processes on production lines, allowing clients to implement AI-driven inspections at the edge.

UbiOps provides a unified MLOps platform that enables the deployment and management of AI workloads across local, hybrid, and multi-cloud environments. By streamlining AI operations with built-in features like version control and automatic resource scaling, UbiOps reduces infrastructure overhead and development costs by up to 80%.

Provides an AI governance platform that automates compliance with global standards like the EU AI Act, ISO/IEC 42001, and NIST AI RMF, integrating regulatory controls into AI development and deployment processes. This platform helps organizations identify and mitigate AI-related risks, ensuring ethical practices and reducing the potential for fines or reputational damage.

The platform provides a no-code interface for training, implementing, and deploying machine learning models, enabling users without technical expertise to leverage AI capabilities. This approach reduces the barrier to entry for businesses seeking to integrate machine learning into their operations, enhancing efficiency and decision-making processes.

Deeper Insights provides a platform called Floating Point that optimizes the five key stages of AI project delivery, including model selection, data preparation, training, integration, and management. The company enables businesses to leverage AI effectively while ensuring ownership of intellectual property and adherence to responsible AI standards, addressing the challenges of deploying scalable and reliable AI solutions.

Mithril Security provides a framework for AI model development that ensures data confidentiality and model integrity through cryptographic proof and secure hardware, such as Trusted Platform Modules (TPMs). This technology addresses the need for provenance traceability in AI, allowing users to verify that models are trained on trustworthy and unbiased datasets.

Silver Brain AI develops enterprise AI solutions that automate knowledge work through full-stack AI development, including custom model training and implementation. Their technology enhances operational efficiency and compliance in industries such as healthcare, banking, and retail by streamlining complex processes and ensuring production readiness.

Provides a data security automation platform, HexaKube, that uses AI and machine learning to discover, monitor, and protect AI/ML data across cloud, on-premises, and hybrid environments. It prevents data leakages and malicious attacks by continuously tracking access to large language model (LLM) services and proactively resolving security issues.

Daslab provides a no-code platform for building, training, and deploying custom AI models. Its visual interface empowers domain experts to create bespoke machine learning solutions and deploy them as scalable APIs, accelerating AI integration into business workflows.

The startup offers a unified IT monitoring platform that provides real-time visibility into network, application, infrastructure, cloud performance, and cyber threats. By minimizing downtime and enhancing performance, the platform enables organizations to maintain reliable IT services while reducing operational costs associated with IT issues.

Midlaier offers a model-agnostic AI platform for rapidly developing and deploying specialized AI applications tailored to unique business processes. This enables organizations to securely handle sensitive data and achieve significant time savings and operational efficiencies through custom, compliant AI solutions.

Awentia develops an end-to-end computer vision system that processes image and video data to generate accurate, georeferenced metrics for real-time management across various sectors. Their technology enables precise tracking and monitoring of industrial supplies, traffic, healthcare personnel, and agricultural resources, enhancing operational efficiency and decision-making.

The startup develops AI-driven software that automates the design and training of neural networks for artificial vision applications. This platform enables companies to deploy optimized vision models that achieve high accuracy while minimizing power consumption.

The startup develops an AI-enabled remote patient monitoring tool that detects chronic conditions and associated comorbidities through continuous health data analysis. This technology enables healthcare providers to monitor patients' health remotely, ensuring timely interventions and improved patient outcomes.

The startup develops monitoring software that utilizes video capture systems, thermal imaging technology, and machine learning for automatic defect detection in railway infrastructure. This technology enables railway operators to detect potential issues early, enhancing safety and optimizing maintenance schedules.

Eyer is a headless AI observability and AIOps platform that utilizes machine learning for autonomous anomaly detection and root cause analysis across complex IT ecosystems. It eliminates the need for manual alert configuration and maintenance, providing proactive insights that enhance operational efficiency and system availability.

BabylonAI provides a logging platform for computer vision teams that captures raw input and prediction data from edge devices, enabling efficient data organization by model version and device. This solution addresses the challenge of evaluating model performance in production environments, particularly in low-connectivity situations, while facilitating the collection of relevant data for retraining.

The startup offers a decision-making platform that utilizes artificial intelligence to enhance compliance, optimize model performance, and minimize ethical bias in business operations. By integrating mission-driven and market-driven strategies, the platform enables clients to make data-informed decisions that improve operational outcomes.

The startup offers a subscription-based machine learning platform that enables users to design, train, and maintain their AI models by simply uploading data. This technology allows businesses to leverage their data for actionable insights, enhancing profitability and operational efficiency.

MYWAI provides edge intelligence solutions for OEMs and machine tool vendors by integrating machine sensors and external esosensors to enable real-time data visualization and processing. Their platforms facilitate MLOps workflows and deploy AI algorithms on various infrastructures, enhancing equipment performance and enabling predictive maintenance and shipment tracking.

The startup provides a platform for organizations to deploy private and monitorable AI agents locally, enhancing operational efficiency by automating routine tasks. This technology allows companies to maintain data privacy while enabling their workforce to focus on more strategic and creative activities.