langwatch

Autonomous mobility service enabling driverless operation on urban roads

AI data platform for annotating text, audio, images, video, and 3D data, plus model evaluation

An open-source hardware platform offering sensors, communication modules, and edge computing devices for prototyping.

A computer vision development platform for managing datasets, training models, and deploying inference services.

Browser extension that automatically captures screen activity and logs to generate defect reports

A developer productivity platform supporting structured code reviews and incremental change management

Evidently AI is a comprehensive solution designed to help teams build, evaluate, and maintain highly reliable AI products, covering both traditional machine learning models and large language model (LLM) applications. It includes an open-source Python library with 100+ built-in evaluation metrics, as well as a cloud platform that supports AI testing, monitoring, synthetic data generation, and collaborative workflows. Evidently AI enables users to detect data and prediction drift, perform regression and adversarial testing, and manage datasets and evaluations through an intuitive interface, ensuring AI quality throughout the entire product lifecycle.

Confident AI is a powerful evaluation platform built on the open-source DeepEval framework, designed to help teams systematically test and optimize large language model (LLM) applications. The platform supports a complete evaluation workflow—from dataset creation and custom metrics to continuous monitoring in production—enabling enterprises to compare different LLMs, detect regressions, and improve performance using industry-leading, scenario-based metrics and safeguards. Confident AI fosters collaboration between technical and non-technical team members, seamlessly integrates with CI/CD pipelines, and offers enterprise-grade capabilities including on-premises deployment, SSO, and HIPAA compliance.

Ragas is a powerful and flexible open-source library designed for evaluating LLMs and RAG pipelines. It offers a comprehensive suite of automated evaluation metrics covering dimensions such as factual accuracy, coherence, and relevance, while also supporting synthetic test data generation and online monitoring. Ragas enables benchmarking aligned with industry standards and allows for customizable evaluation workflows to meet diverse needs in research and production environments. Its strong integration capabilities help developers and researchers optimize and ensure the reliability of AI applications.

Datafold streamlines critical data engineering workflows by automating data migration, code testing, and monitoring to ensure high data quality and reliability. It enables teams to accelerate database migrations through automated SQL transformations and data comparisons, integrate comprehensive testing into CI/CD pipelines to prevent regressions, and maintain proactive observability with real-time anomaly detection and alerts. By providing detailed data lineage, metadata management, and collaboration tools, Datafold empowers data teams to deliver trusted data products faster and with greater confidence.

Cyara is a leading customer experience (CX) assurance platform designed to help organizations deliver flawless interactions by automating the testing, monitoring, and optimization of contact center systems. It supports the entire CX lifecycle—from design and discovery to functional and regression testing, load testing, and real-time production monitoring. Cyara enables teams to visualize, test, and validate customer journeys across multiple channels, including IVR, voice, chatbots, SMS, email, and web chat, ensuring consistent, high-quality customer experiences at scale.

Ethiack delivers continuous, precise cybersecurity testing by combining automated penetration testing with elite human ethical hackers. It provides organizations with a comprehensive view of both external and internal attack surfaces, identifying critical vulnerabilities with high accuracy and minimal false positives. The platform supports compliance reporting and integrates seamlessly with development workflows, enabling teams to proactively secure their digital infrastructure while learning from detailed vulnerability insights.