Data Quality 8
USM provides AI, mobile app development, cloud migration, and workforce management solutions.
USM Business Systems is a technology solutions and services provider specializing in Mobile App Development, Artificial Intelligence, Machine Learning, Automation, Deep learning, and Big data. They offer Data Quality and regulatory compliance solutions, along with workforce management and HR services to MNCs and SMEs in USA, India, and Europe.
AI-enabled hyperautomation platform for revenue processes, improving CRM data quality.
Truly is an AI-enabled hyperautomation platform designed to automate revenue processes. It helps eliminate complex repetitive tasks, reduce human error, and continuously improve CRM data quality. Truly's robots can automate prospecting, enrich and validate contact information, build segments and orchestrate journeys, eliminate manual CRM updates, understand process effectiveness, monitor customer and deal health, guide sellers to the right next steps, and monitor CRM data quality and auto-cleanse.
AI Observability Platform for monitoring, explaining, and analyzing ML model performance in production.
Censius is an AI Observability Platform that helps organizations confidently make their machine learning models work in production. It provides a comprehensive ML monitoring solution to proactively monitor entire ML pipelines, detecting and fixing issues like drift, skew, data integrity, and data quality problems. The platform helps teams understand, analyze, and improve the real-world performance of AI models, offering end-to-end visibility of structured and unstructured production models.
AI-powered data IDE for analysts, engineers, and scientists.
Nao is an AI-powered data IDE designed for analysts, engineers, and scientists. It enables users to write SQL, Python, or dbt workflows, preview changes, catch issues early, and deploy confidently. Nao connects directly to your data warehouse, understanding your schema to facilitate faster development, fewer bugs, and maintained data trust. It helps build data pipelines, launch quality checks, run analytics, and foster team collaboration without context switching. Nao positions itself as an AI teammate for modern data work, offering an AI data editor that is connected to your warehouse and business context, powered by an agent that writes code with data quality in mind.
Automated AI data quality monitoring platform for enterprises.
Anomalo provides an automated AI data quality software platform that helps enterprises continuously monitor their data for quality issues. It uses machine learning to detect anomalies, validate data accuracy, ensure data governance, and provide data observability. Anomalo's platform integrates with various data sources and offers a no-code UI for custom validation rules and KPI tracking, enabling quick resolution of data quality issues.
Zero-license cost solution for data de-duplication and golden record generation.
Singl Website offers a zero-license cost solution for data de-duplication and golden record generation, providing a 360-degree view of customers, doctors, or patients, including house-holding. It aims to deliver a single view of patient data without the need for expensive Master Data Management (MDM) solutions. SiNGL helps in deduplicating data using AI, advanced data stewardship, and bulk matching, allowing users to consume data via API and leverage GenAI-powered data stewardship. The platform promises delivery in less than 90 days.
AI observability platform for monitoring machine learning models and ensuring AI application security.
WhyLabs is an AI observability platform that prevents model performance degradation by allowing you to monitor your machine learning models in production. It offers AI observability, LLM security, and model monitoring, helping to guardrail Generative AI applications in real-time to mitigate data leakage, prompt attacks, and hallucinations. WhyLabs provides solutions for data-driven enterprises, focusing on LLM security, ML monitoring, and AI observability across various industries.
Cloud-native data orchestrator for building, scheduling, and monitoring reliable AI & data pipelines.
Dagster is a cloud-native orchestrator designed for the entire development lifecycle, offering integrated lineage and observability, a declarative programming model, and best-in-class testability. It serves as a modern data orchestrator platform that helps teams build, schedule, and monitor reliable data pipelines quickly and flexibly. Dagster acts as a unified control plane for building, scaling, and observing AI & data pipelines with confidence. It enables users to model various data assets like tables, files, and ML models, providing a built-in catalog, lineage, and cost insights from day one. The platform automatically tracks, documents, and audits every dataset to ensure data integrity, compliance, and transparency throughout its lifecycle. Dagster integrates with any stack, from S3 to Snowflake to PowerBI, and is built to provide an excellent developer experience while offering data leaders the transparency, control, and insights they need.
