Top 50 Ai Model Monitoring in Asia

Superwise is a model observability platform that provides tools for monitoring machine learning systems in production, focusing on metrics for data quality, drift detection, and model performance. It enables organizations to maintain the health of their ML models by offering over 100 customizable metrics and automated monitoring capabilities, ensuring timely detection of issues that could impact model accuracy and reliability.

Provides a monitoring and debugging platform for large language model (LLM) applications, enabling real-time detection of output inconsistencies, hallucinations, and performance issues. The tool supports 22 LLM providers, offering features like backtesting, prompt optimization, and automated change rollouts to ensure reliable and high-quality model performance.

Rens provides an API‑first model management platform that centralizes version control, containerized deployment, and real‑time monitoring for machine‑learning models. It automates generation of versioned containers, provisions Kubernetes‑native inference services with auto‑scaling and canary rollouts, and streams latency, error and drift metrics to customizable dashboards with alerting. The platform integrates with Kubeflow Pipelines, MLflow, and CI/CD tools while offering role‑based access control and immutable audit logs for governance.

The startup develops a security platform that provides real-time threat detection and AI red teaming tests to ensure the safety and ethical use of generative artificial intelligence. By offering data management tools, it enables developers and users to mitigate risks and protect sensitive information in AI applications.

Akira AI is a platform-agnostic machine learning observability tool that monitors AI applications by providing real-time insights into model performance and data integrity. This enables organizations to detect anomalies and optimize their AI systems, ensuring reliable and efficient operation.

Samta provides a unified AI risk management platform that continuously maps production models to major regulatory frameworks and monitors compliance in real time. It centralizes model metadata, governance actions, and audit trails while delivering risk dashboards and regulator‑ready explainability reports for risk and compliance teams.

HUMAIN provides an integrated platform to streamline the end-to-end AI lifecycle, from data preparation and model development to deployment and ongoing performance monitoring. The solution offers automated MLOps capabilities and tools for continuous model retraining, enabling enterprises to efficiently operationalize their AI initiatives.

VESSL AI offers an end-to-end MLOps platform that enables machine learning teams to build, train, and deploy models efficiently across various infrastructures with a single command. The platform addresses the challenges of resource management and deployment speed by providing serverless deployment, real-time monitoring, and automated CI/CD workflows.

Bishi Technology offers an AI-driven operation and maintenance platform that utilizes machine learning algorithms to analyze vast amounts of monitoring data in real-time. This technology enables large enterprises to detect and locate faults quickly, predict trends, and significantly reduce mean time to repair (MTTR) while enhancing system uptime and operational efficiency.

The startup offers an AIOps platform that utilizes machine learning algorithms to identify the specific components responsible for production outages and service degradation. This enables businesses to minimize service disruptions and enhance operational efficiency by providing actionable insights for troubleshooting.

Segwise develops AI agents that monitor campaign data for game studios, identifying issues that can negatively impact return on ad spend (ROAS) before they escalate. By providing real-time alerts and in-depth user insights, Segwise enhances player retention and maximizes lifetime value (LTV) for games and apps.

This startup develops AI, machine learning, and computer vision-based video analytics to optimize business operations. Their solutions provide people counting, footfall analytics, and field force management to enhance operational efficiency and security.

Sedric is a risk and compliance platform that utilizes an AI-driven model to automate monitoring and policy execution for financial institutions, ensuring 100% coverage of customer interactions across multiple channels. By streamlining compliance workflows and providing real-time risk analysis, Sedric enhances operational efficiency and reduces the time spent on manual compliance tasks.

Noma is a security technology platform that provides real-time monitoring and protection for the entire Data and AI lifecycle, including development environments, data pipelines, and AI models. It addresses vulnerabilities and compliance risks by offering automated security assessments, continuous visibility, and actionable remediation across diverse data and AI infrastructures.

This company develops an AIoT-based smart healthcare platform offering real-time health monitoring and personalized medical recommendations. The platform integrates multi-modal data from devices and AI diagnostic systems to provide comprehensive health management. They offer services through device sales, subscription models, and API licensing to healthcare providers and insurance partners.

SkyServe provides a sensor-agnostic edge computing platform that enables the deployment of AI models on satellites to generate real-time geospatial insights. This technology addresses challenges in monitoring illegal activities, environmental changes, and resource management by delivering timely data for applications such as maritime surveillance and crop monitoring.

WitnessAI provides a platform that enables enterprises to monitor AI activity, enforce usage policies, and secure data against misuse and attacks. This solution addresses the challenges of maintaining control, privacy, and security while leveraging generative AI technologies.

AirDeep provides an AI-driven air quality monitoring and control system that detects pollutants such as dust, smoke, and fire in real time using IoT technology. This solution enhances indoor and vehicle air quality by delivering precise data on harmful substances, ensuring a safer and more comfortable environment for users.

Provides an end-to-end, zero-code AI platform, iTuring, that automates the entire data science and machine learning lifecycle, from data preparation to model deployment. It enables enterprises to develop, operationalize, and scale AI applications in hours, reducing project timelines by up to 97% while improving predictive accuracy and ROI.

Agrovech provides a precision agriculture platform that uses AI and satellite imagery to offer real-time crop monitoring and predictive analytics. This technology helps farmers detect crop health issues early, optimize resource usage, and improve yield prediction accuracy.

Avalanc offers a low-code AI platform designed to streamline deep learning development, enabling users to create and deploy models with minimal coding effort. This tool addresses the complexity and time constraints associated with traditional deep learning workflows, allowing teams to accelerate their projects significantly.

Diagnostic Robotics develops a signal-agnostic artificial intelligence system that utilizes predictive analytics to enhance patient triage and monitoring for healthcare insurers, providers, and patients. The platform aims to reduce care costs and improve health outcomes by optimizing patient management and engagement in value-based care settings.

The startup offers a no-code machine learning platform that provides on-site and off-site analytics services for manufacturing operations. This technology enables manufacturing managers to optimize plant efficiency, reduce operational costs, and enhance productivity.

Lasso Security provides end-to-end cybersecurity solutions specifically designed for organizations utilizing Large Language Models (LLMs), addressing vulnerabilities such as data leakage, model poisoning, and prompt injection. Their platform offers real-time monitoring, detection, and alerting to protect sensitive data and maintain operational integrity against emerging threats in the Generative AI landscape.

Simplismart provides a high-performance inference engine that enables rapid deployment and fine-tuning of generative AI models on-premises or across various cloud platforms. This technology reduces model deployment time from months to days, significantly lowering operational costs while enhancing inference speed and scalability.

proteanTecs provides a cloud-based platform that utilizes machine learning and on-chip monitoring technology to deliver real-time analytics on the health and performance of electronic components. This solution enables manufacturers to gain continuous visibility throughout the design, production, and operational phases, thereby enhancing reliability and reducing operational risks.

We360.ai provides real-time employee monitoring and analytics software that consolidates productivity data from both remote and on-site teams. The platform addresses inefficiencies in tracking employee performance and generates actionable insights to enhance productivity by up to 52%.

Intelligence Node is a real-time retail price intelligence platform that utilizes artificial intelligence and machine learning to provide accurate competitor pricing, content optimization, and assortment insights. The platform enables brands and retailers to enhance their digital shelf presence, improve product visibility, and drive revenue growth by optimizing pricing strategies and monitoring market dynamics.

Provides an AI-driven platform for optimizing deep learning models through techniques like model compression, pruning, and heterogeneous scaling. This enables businesses to reduce GPU computing costs by up to 80%, achieve up to 6x faster inference speeds, and deploy resource-efficient models on edge devices while ensuring data privacy and security.

Corgi Labs develops bespoke, AI-powered payment acceptance models tailored to individual business transaction histories. These customized models optimize payment routing to significantly reduce false declines and lower chargeback rates. The service integrates seamlessly with existing payment platforms to increase payment acceptance rates and maximize merchant revenue.

The startup provides AI infrastructure and services that enable businesses to access and implement machine learning models without requiring extensive technical expertise. By simplifying the deployment of AI technology, the company helps organizations leverage data-driven insights to enhance operational efficiency and decision-making.

Observe provides an AI-powered observability cloud solution that ingests and analyzes telemetry data from diverse sources, enabling real-time visibility into application performance and infrastructure health. This platform eliminates blind spots and manual processes, allowing teams to troubleshoot issues quickly and efficiently across complex, cloud-native environments.

Coralogix provides a machine learning-driven observability platform that enables real-time monitoring of applications, infrastructure, and user experiences across various environments. By unifying security and operational logs, it enhances threat detection and performance tracking while reducing costs by up to 70%.

Provides satellite-based remote sensing and machine learning solutions to deliver location-specific insights for agriculture, finance, infrastructure, and climate sectors. Enables precise crop monitoring, risk assessment, and resource management by integrating high-resolution satellite imagery with AI-driven analytics, supporting over 2 million farm loans and 500,000 insurance claims annually.

MakinaRocks offers a machine learning operations (MLOps) platform tailored for industrial applications, enabling organizations to build and deploy customized large language models (LLMs) that enhance operational efficiency. The platform addresses the challenge of integrating AI into complex industrial workflows by providing automated tools for data management, model training, and deployment monitoring.

ClearML is an open-source MLOps platform that automates the machine learning lifecycle, enabling developers to build, train, and deploy AI models at scale with minimal code. It addresses the challenges of fragmented workflows and inefficient resource utilization by providing a unified solution for managing AI infrastructure across on-premise, cloud, and hybrid environments.

The startup offers a third-party risk management platform that utilizes AI to enhance human decision-making by validating controls and providing a detailed audit trail. This platform replaces traditional continuous monitoring with ongoing assessments, significantly reducing the time and cost associated with TPRM evaluations for financial institutions.

Sanolla offers an AI-powered diagnostic platform that utilizes infrasound analysis to monitor and detect early exacerbations in patients with Congestive Heart Failure (CHF) and Chronic Obstructive Pulmonary Disease (COPD) from home. This technology enables real-time self-assessment, providing critical clinical data that enhances patient care while reducing healthcare costs.

Enfarm provides real-time soil nutrient monitoring using generative AI to deliver lab-grade accuracy and actionable agronomic recommendations. The system continuously tracks seven critical soil parameters, enabling agribusinesses to optimize inputs, increase crop yields, and support sustainable farming practices. Their platform integrates sensor data with smart analytics for proactive decision-making and seamless management of fertilization and irrigation schedules.

The startup offers an assessment platform that identifies and evaluates risks associated with artificial intelligence projects, ensuring compliance with quality requirements and governance standards. By providing tailored risk management strategies, the platform enables companies to mitigate potential issues and streamline AI deployment processes.

The startup offers a scientific research platform that utilizes artificial intelligence and machine learning to analyze data models for governance, risk, and compliance (GRC) management. By monitoring model performance and suggesting regulatory adjustments, the platform helps organizations maintain compliance and enhance operational agility.

Provides a cloud-agnostic platform, UnifyAI, that streamlines the development and deployment of AI/ML use cases by integrating data pipelines, model training, and monitoring into a single workflow. Reduces time to production by 40% and total cost of ownership by 30%, enabling industries like insurance, banking, and retail to transition from experimentation to scalable, enterprise-grade AI solutions in weeks.

Adeptiv AI provides a unified platform for automated AI governance, risk management, and compliance tracking. The system manages the entire AI lifecycle from inventory to real-time risk detection and documentation. This solution helps enterprises adhere to evolving global regulations like the EU AI Act and NIST AI RMF in an auditable manner.

RIFFAI transforms raw satellite data into reliable, decision-ready intelligence for the Energy, Defense, and Environment sectors. The company utilizes validated AI models to process multiple satellite sources, providing high-accuracy geospatial insights. This intelligence supports improved energy efficiency, community safety, and sustainable resource management on a planetary scale.

JFrog ML is an MLOps platform that centralizes the management, training, deployment, and monitoring of machine learning models, including LLMs and feature engineering, in a single interface. It addresses the complexity of AI workflows by enabling teams to collaborate efficiently and deploy models at scale with real-time performance tracking.

Qualifire provides an AI control plane offering continuous evaluation, real-time guardrails, and pre-production testing for LLM applications like agents, RAG, and chatbots. The platform uses specialized small language models (SLMs) to enforce policies and monitor AI behavior for enhanced reliability. This enables users to detect and block unwanted AI actions while providing observability through OTEL tracing.

The startup provides healthcare products that utilize data analytics and artificial intelligence to monitor and analyze human behavior through various sensors. This technology enables healthcare professionals to receive timely alerts, improving their response efficiency and enhancing their social interactions.

ModAstera provides an integrated AI development platform for healthtech companies, streamlining data preparation, annotation, model training, and deployment. Its hybrid low-code/no-code and full-code interface, coupled with built-in compliance features, accelerates the creation and deployment of secure medical AI applications.

IMBdx offers a liquid biopsy platform that combines artificial intelligence and genomic analysis for early cancer detection and ongoing patient monitoring. Their technology enables precise screening and monitoring of various cancer types through simple blood tests, improving treatment planning and patient outcomes.

Aabshar provides an AI-driven monitoring system that analyzes water flow and usage data to minimize water wastage and reduce utility costs. The technology enables businesses to achieve compliance with environmental standards while significantly lowering CO2 emissions and preventing water damage.