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.

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.

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.

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.

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.

Provides a real-time AI reliability platform that auto-trains custom detection models to identify and prevent inaccuracies, hallucinations, and policy breaches in AI-generated outputs. By enforcing compliance and enabling instant monitoring, it reduces legal risk and ensures consistency across applications, with a 99.6% error detection rate and 20 ms latency.

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.

The startup offers an operations monitoring platform that provides businesses with performance metrics on employee productivity, organizational health, and cultural dynamics. By integrating performance management tools with services like leadership hiring and key results analysis, the platform enables data-driven decision-making aligned with organizational goals.

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.

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.

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.

This company develops sustainable and affordable AI solutions, making the technology more accessible for broader adoption. They enable clients to build and deploy AI applications while promoting a sustainable AI ecosystem.

DagsHub is a collaborative platform that enables data scientists to manage, annotate, and version unstructured datasets while tracking experiments and model performance. By streamlining data workflows and integrating with existing AI tools, DagsHub enhances data quality and accelerates the development of machine learning models.

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.

Sonoline provides real-time noise monitoring using AI to ensure operational continuity in industrial and wind energy sectors, enabling timely decision-making to mitigate community impact and prevent mechanical failures. Additionally, Flickerline employs computer vision for continuous monitoring of shadow flicker effects in wind farms, enhancing compliance and operational efficiency.

Assert AI provides artificial intelligence-based video analytics solutions utilizing computer vision technology to enhance security and operational efficiency. The platform enables businesses to monitor real-time video feeds for anomalies, improving incident response and reducing operational risks.

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.

Llumo AI provides a platform for optimizing large language models (LLMs) through automated evaluation and advanced prompt compression techniques, significantly reducing operational costs and minimizing hallucinations. By enabling real-time performance monitoring and side-by-side output comparisons, Llumo AI enhances the reliability and efficiency of LLM applications for AI teams.

PrivaSapien develops a Privacy Enhancing and Responsible AI (PERAI) platform that utilizes patented technologies like Privacy X-Ray and Event Horizon to visualize privacy risks and ensure GDPR compliance through advanced data anonymization. The platform addresses the critical issue of data misuse by providing enterprises with tools to manage privacy risks effectively while maintaining data utility for collaboration and value creation.

The startup offers a no-code predictive AI platform that enables organizations to implement and integrate predictive models without requiring specialized infrastructure or data science expertise. By providing revenue intelligence, the platform identifies accounts likely to convert and customers at risk of churning, fostering a data-driven culture within the organization.

Aim Intelligence offers AIM Red, a generative AI solution that employs domain-specific attack optimization and stress testing protocols to detect vulnerabilities in AI systems. This technology addresses the critical issue of AI-generated harmful content by ensuring robust security through real-time monitoring and customized attack strategies.

Bones Interactive provides AI-driven network packet monitoring and anomaly detection to enhance cybersecurity for businesses. Their technology reduces human error and operational costs while ensuring 24/7 threat detection and disaster recovery for internal networks.

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.

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.

Privya offers a centralized platform that analyzes the entire AI supply chain, including source code, models, and third-party dependencies, to identify security vulnerabilities and compliance issues before deployment. This proactive approach eliminates runtime monitoring overhead and ensures organizations maintain regulatory readiness while protecting sensitive data throughout the development process.

NetOp.Cloud provides an AI-driven network operation platform that automates monitoring, anomaly detection, and troubleshooting across multi-vendor environments. By delivering early warnings and actionable insights, it reduces mean time to resolution (MTTR) by 90% and minimizes alert noise, enhancing overall network performance and reliability.

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.

The startup has developed an air monitoring platform that utilizes a network of environmental data acquisition points to provide real-time tracking of air quality indices and particulate matter levels. This technology enables clients to make informed, data-driven decisions regarding environmental conditions in specific areas.

The startup develops AI-powered predictive inspection technology that integrates IoT sensors and robotics to automate data collection for real estate and architecture. This technology enables remote detection and real-time monitoring of building safety, providing developers with timely risk assessments and early warning alerts.

This startup provides an AI-powered health management platform for businesses, offering system health dashboards, anomaly detection, and documentation GPTs. The platform helps organizations optimize efficiency and gain insights from system data, particularly benefiting healthcare providers in decision-making and resource allocation.

Chronom.AI provides a platform for Managed Service Providers (MSPs) that automates workload detection and generates vendor opportunities, enabling efficient client engagement and revenue growth. By offering over 150 tailored insights and a centralized management dashboard, it reduces time spent on manual tasks and enhances the ability to identify and act on new business opportunities.

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.

Bosch AIShield provides a unified security platform for machine learning and generative AI models, employing vulnerability analysis and real-time defense mechanisms to protect against adversarial threats such as model extraction and data poisoning. This solution helps businesses mitigate financial losses and safeguard intellectual property by ensuring compliance and robust protection throughout the AI model lifecycle.

This startup operates an AI-driven monitoring system for livestock management that utilizes computer vision to provide continuous individual weight tracking and early disease detection. By optimizing feed utilization, the platform enhances animal welfare and biosecurity while increasing farm productivity and profitability.

Nucleus OS streamlines the machine learning lifecycle by providing expert data annotation and a platform for automated model validation and performance benchmarking. We help organizations enhance AI system accuracy and reliability through high-quality labeled datasets and rigorous evaluation.

The startup provides a platform for AI governance that automates model testing and compliance monitoring to ensure adherence to regulatory standards. By centralizing risk management and enhancing model explainability, it enables enterprises to deploy AI systems with confidence and accountability.

Stackbrains provides an observability platform that offers end-to-end visibility and machine learning-based monitoring across data stacks, ensuring data quality and governance. The platform proactively identifies and resolves data inconsistencies, enabling businesses to make informed decisions based on reliable data.

The startup offers a network management platform that utilizes artificial intelligence and machine learning to monitor API traffic in real-time, automatically detecting and blocking fraudulent calls targeting organizational data and services. This technology enables organizations with stringent privacy and security requirements to leverage digital advancements while safeguarding their sensitive information.

Saige Research develops AI-driven machine vision solutions for industrial inspection and quality control, utilizing deep learning algorithms to automate defect detection and real-time process monitoring. Their technology enhances product quality and workplace safety by identifying anomalies and potential hazards in manufacturing environments.

Aiflux provides digital transformation and AI solutions for the energy sector, focusing on the safe management of heavy assets and resources. The platform enhances operational efficiency and safety by utilizing predictive analytics and real-time monitoring to mitigate risks associated with asset deployment.

Provides a full-stack platform for integrating AI into B2B SaaS applications, focusing on safety and quality assurance throughout the development lifecycle. It streamlines the transition from AI prototypes to production-ready systems by identifying and mitigating risks, ensuring compliance, and optimizing performance. This reduces deployment challenges and accelerates time-to-market for AI-driven solutions.

The startup develops enterprise AI technologies that utilize machine learning and deep learning algorithms to optimize Internet of Things (IoT) management for agriculture, forestry, transportation, and logistics sectors. By enhancing process efficiency, the company enables enterprises to increase yield and revenue while lowering input costs.

FortifAI provides a platform that continuously monitors enterprise systems using AI to detect patterns indicative of fraudulent behavior. This proactive approach addresses the issue of delayed fraud detection, which often goes unnoticed for 9-12 months, thereby protecting organizations from financial and reputational damage.

The startup develops a smart insect monitoring system that utilizes artificial intelligence for real-time image capture and machine learning to analyze insect populations in agricultural settings. This technology enables farmers to monitor pest activity remotely, facilitating timely and informed decision-making to enhance crop management.

Tusker AI provides a no-code AI Vision platform that automates image and video analytics for various applications, including quality control and safety compliance. By enabling users to create and deploy deep learning models quickly, the platform enhances operational efficiency and reduces costs by up to 75%.

The startup has developed a smart multi-parameter water quality monitoring platform that utilizes artificial intelligence for automatic sensor calibration and operational stability monitoring. This technology provides industries with real-time, actionable data, reducing operational costs and enhancing monitoring efficiency.

This company provides an AI-powered visual inspection platform that automates defect detection in manufacturing. Their system helps businesses reduce errors and labor costs by automatically inspecting products and providing monitoring dashboards.

The startup develops AI video analytics software that provides real-time monitoring and analysis of critical events in high-risk environments such as construction and manufacturing. This technology enhances safety by enabling immediate response to potential hazards, thereby reducing the risk of accidents and improving operational efficiency.

Adversa AI develops security solutions for machine learning, artificial intelligence, and large language models by implementing adversarial testing and threat modeling to identify vulnerabilities. The company protects AI systems from cyber threats, privacy breaches, and safety incidents, ensuring their reliability and trustworthiness in critical applications.

The startup offers an AI platform that simplifies the development and application of AI technologies, enabling users to easily create and implement AI-driven solutions. By providing hands-on training and resources, the platform addresses the challenge of accessibility and usability in AI, empowering individuals and organizations to leverage AI effectively for their specific needs.