anomalo.com

This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, see our Privacy PolicyIf you decline, your information won’t be tracked when you visit this website. A single cookie will be used in your browser to remember your preference not to be tracked.AcceptDecline Skip to content 🎉Introducing AIDA, Anomalo’s Intelligent Data Analyst TRUST YOUR DATA Enterprise Data Quality for All Data Types Say goodbye to manual data quality rules. Anomalo is the AI-native platform that ensures data quality across structured, semi-structured, and unstructured data. Proactively detect, root cause, and resolve data issues before they impact your operations, analytics, or AI initiatives, all at scale and with no code required. Request A Demo Trusted by the world’s most data-driven enterprises The Only Data Quality Solution Backed by Databricks and Snowflake Snowflake and Databricks—leaders in data and AI—know that AI is only as powerful as the data behind it. That’s why they’ve both chosen to back Anomalo. Our automated approach to data quality helps enterprises build trustworthy data foundations, catch issues before they escalate, and unlock reliable AI outcomes. With deep, native integrations across the modern data stack, Anomalo ensures your data is accurate, complete, and ready—wherever it lives—so your business can move faster, smarter, and with confidence Backed by Databricks Ventures and 2024 Emerging Partner of the Year Backed by Snowflake Ventures: Reinventing data quality for the AI Data Cloud Data Quality Software Anomalo is the easiest way to continuously monitor all your enterprise data, without writing a single line of code. 1. Connect your Data Easily integrate with cloud data lakes, warehouses, orchestrators, and ETL tools. 2. Enable AI-Powered Monitoring Unsupervised machine learning detects anomalies across all your data (structured, semi-structured, and unstructured) without manual configuration. 3. Customize with Rules and KPIs Use our no-code interface to define business logic and key metrics, or programmatically via API. 4. Detect, Alert, and Resolve at Speed Get automated alerts, root cause analysis, and data lineage tools to rapidly mitigate issues. Anomalo Data Proof Points Take an AI-First Approach to Data Quality “Anomalo takes an unusual approach to data quality, with its AI engine that profiles data and its values and detects statistically significant differences in data from what is expected and has been historically normal. It is also unusual in being able to apply the same approach to documents and other unstructured data. Anomalo should be on the shortlist of anyone looking at a modern data quality solution, especially where a lot of data is involved and where the scope extends to unstructured data.” “Anomalo replaces traditional approaches with unsupervised machine learning that automatically detects issues within data content across formats. Their platform provides comprehensive coverage across data types and use cases, from analytics dashboards to data science algorithms and generative AI workflows. By automating data quality detection, Anomalo helps enterprises replace homegrown solutions and legacy platforms, enabling more reliable and efficient data utilization at scale.” Torsten Volk Principal Analyst “Data is critical to the life blood of enterprises and data quality problems are real. IDC research consistently shows that there is a lack of trust in data, with data management and improvement being a high priority investment as we enter into the era of AI Everywhere. Anomalo is differentiated in its AI-first approach to data quality. Anomalo automatically builds ML models for each dataset based on the history, patterns and structure of the data, and these models can spot when issues arise in the data, enabling pro-active data quality resolution which can result in improved operations, analytics and AI, leading to better business outcomes.” Stewart Bond Research VP, Data Intelligence and Integration Software Research A data quality platform that works with your data stack Request a Demo    View All Integrations Partners Integrations Our Customers What Customers Say “Discover has been using Anomalo in production for nearly 2 years with flourishing adoption and is continuing to integrate the platform across our entire organization. We are confident that Anomalo will enhance our ability to monitor data quality at scale and with less manual effort.” Prakash Jaganathan Senior Director of Enterprise Data Platforms View Case Study “I put my name behind the Anomalo selection because Anomalo was the one bringing statistical analysis to the field.” Mike Randall Director of Enterprise Data Governance View Case Study “We were delighted with the functionality Anomalo provided, and their approach to monitoring matched our essential requirements.” Stephan Claus Director of Data View Case Study Featured Resources Learn more about how Anomalo delivers best-in-class enterprise data quality monitoring. Blog Afterpay: Promoting Data Trust with Anomalo Trust takes years to build and seconds to break—a phrase we often hear applied to relationships, but what about data? The story is the same. Read More Case Study Discover’s Approach to Scaling Enterprise Data Quality Monitoring You may have never needed to know the metric prefix zetta, which is of a scale a trillion times bigger than giga. You will be glad you know now, because by the year 2025 the volume of data created, captured, and consumed worldwide is projected to grow to more than 180 zettabytes. Read More Blog Anomalo Earns Google Cloud Ready for BigQuery and AlloyDB Anomalo, the complete data quality platform company, today announced that it has successfully achieved Google Cloud Ready – BigQuery and Google Cloud Ready – AlloyDB designations. Anomalo and Google Cloud are used by customers globally. Read More FAQ Frequently Asked Questions If you have additional questions, we are happy to answer them. Request A Demo What kind of custom data quality monitoring does Anomalo offer? While Anomalo’s automation offers immense value out of the box, you can also set user-defined validation rules or track specific business metrics for your key tables. You can do all of that from Anomalo’s UI, without even needing to write code. If you need more control, write checks in SQL or even integrate with our API to migrate existing checks. Anomalo’s flexibility makes it an ideal solution for data professionals looking to enhance their data integration processes and improve data quality across diverse datasets. What data quality monitoring techniques does Anomalo utilize? Anomalo uses a mix of data quality monitoring techniques to ensure coverage across your entire data warehouse. First, you can set up low-cost, metadata-based data observability monitoring for all your tables to ensure on-time delivery and completeness. Then, for the tables where you want to additionally monitor the data values themselves, you can set up Anomalo’s automated data quality checks, including AI-based anomaly detection. This uses unsupervised machine learning to learn the historical patterns in your data and look for unexpected changes or poor data quality. Finally, for tables where you want even more custom monitoring, you can set up user-defined validation rules and track key metrics. Why is data quality monitoring important? Data quality monitoring is essential to ensure that bad data doesn’t lead to poor business outcomes. Low-quality data can cause all kinds of problems, from broken products and user experiences, to inaccurate dashboards and reports, to machine learning and generative AI models that behave erratically. Data quality monitoring is important for compliance and data governance as well. If your business users don’t believe that they can rely on your data, they are less likely to make data-driven decisions. Without data management tools like Anomalo, you may end up investing a lot of time and resources to modernize your data stack, only to find that your efforts to get value from your data are blocked by inconsistency, inaccuracy, and overall lack of trust. How does Anomalo ensure data quality at scale? To offer data quality management for any data warehouse, even with tens of thousands of tables, Anomalo provides a suite of data quality checks. First, we offer data observability checks, which are a low-cost way to monitor your entire warehouse using table metadata. From there, you can configure tables to automatically measure data quality in one click. Automated data quality checks go deeper than observability to sample and inspect the data values themselves. You can also track KPIs about your data to identify trends and changes in segments. Finally, for that subset of key business tables where you need to write strict validation rules that your data must conform to, you can define those in Anomalo’s UI. For most businesses, it’s impossible to write rules about every column and every table. That’s why Anomalo is considered one of the best data quality tools on the market, with our algorithms that use AI/machine learning to understand patterns, set thresholds, and know when to alert. These algorithms learn and adapt as your data assets grow and change over time. Does Anomalo provide data profiling and analysis? We do. Tables that are configured for data monitoring in Anomalo can display visual data profiling information, such as the distribution of data values in each column. Furthermore, each data quality check offers rich visualizations to understand why and how your data is passing or failing. For additional analysis, you can monitor key data quality metrics, which will generate more charts for exploration and notify you when there are significant changes. Does Anomalo provide data lineage tools? Yes! For each table that you monitor in Anomalo, you can see data lineage information that is pulled directly from your data warehouse/lakehouse, including a mapping of how data flows upstream and downstream. This allows you to quickly diagnose data issues and understand the potential impact of any failures, resulting in high-quality data for your company. Ready to Trust Your Data? Let’s Get Started Meet with our team to see how Anomalo transforms data quality from a challenge into a competitive edge. Request a Demo --- This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, see our Privacy PolicyIf you decline, your information won’t be tracked when you visit this website. A single cookie will be used in your browser to remember your preference not to be tracked.AcceptDecline Skip to content 🎉Introducing AIDA, Anomalo’s Intelligent Data Analyst About Anomalo Our Team Is Rethinking Data Quality. Detect and resolve data quality issues before anyone else is affected. With Anomalo’s AI-based monitoring, you can scale beyond basic checks and build trust in the data backing your business decisions, analytics, and models. Request a Demo Overview Our Story Anomalo co-founders Elliot Shmukler, CEO, and Jeremy Stanley, Chief Scientist, worked closely together at Instacart and bonded over their shared love of using data. They applied data to everything from optimizing marketing spend through machine learning to improving the efficiency of the grocery delivery process by mapping out the best way to shop for items in stores. Along the way, they witnessed many situations where Instacart’s data quality broke down — like when a geographic expansion strategy ground to a halt because the data was six months stale. The difficulty of ensuring their data was of high quality led Jeremy and Elliot to found Anomalo. Anomalo pioneered the approach of using AI to detect anomalous data. This allows the platform to scale to massive data warehouses/lakehouses and find “unknown unknowns” that wouldn’t be detected by manual rules. Investors Backed by world class investors Executive Team Elliot Shmukler Co-founder and CEO Full Bio Jeremy Stanley Co-founder and Chief Scientist Full Bio Richard Hoyland President - Global Field Operations Full Bio Amy Reams Vice President of Marketing and Business Development Full Bio Ann Heaps Vice President of People and Talent Full Bio Bill Watt Vice President, Customer Solutions and Operations Full Bio David Russell Vice President, Global Sales Full Bio Jerry Sharum General Counsel Full Bio Kirby Frugia Vice President of Engineering Full Bio Values Our Company Values Own It We don’t just do our jobs—we own getting to the best results across the company. Opacity Zero Thoughtful transparency enables us to work autonomously and make great decisions. Act & Adapt We prioritize action, learn from mistakes, and continuously improve with humility and curiosity. Thrive Together We embrace diversity, assume best intentions, and support each other to succeed as a team. Customer Focus We anticipate, innovate for, and deliver what matters most to our current and future customers. Work Smart Work when, where, and how you’re most effective—outcomes matter more than hours. Come build the future of data with us At Anomalo, we work with some of the biggest brands like Block, Discover Financial Services, and Notion. We help companies trust the data they use to make decisions and build products. Come join us for the ride! View Open Positions --- This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, see our Privacy PolicyIf you decline, your information won’t be tracked when you visit this website. A single cookie will be used in your browser to remember your preference not to be tracked.AcceptDecline Skip to content 🎉Introducing AIDA, Anomalo’s Intelligent Data Analyst THE FUTURE OF TRUSTED DATA Introducing AIDA Combine the power of Anomalo’s Data Quality with cutting edge AI to chat with your data, visualize insights, and reinforce data quality with every interaction. Join the AIDA Waitlist OVERVIEW Meet AIDA – Anomalo’s Intelligent Data Analyst AIDA understands your data because it knows your data. AIDA sits directly on top of Anomalo’s Data Quality Foundation, giving it two powerful sources of context that no other chatbot has: Your organization’s data quality priorities: AIDA knows which tables, metrics, and rules are important because it learns directly from how your data is monitored. Automated data understanding: Through Anomalo’s unsupervised ML and profiling, AIDA continuously understands your data content and detects drift, trends, and anomalies to understand what’s happening in your data. And every interaction with AIDA makes it smarter and your data healthier by refining data definitions and adding new data quality checks – all through natural language. KEY BENEFITS Powered by Anomalo’s Intelligence Layer: Every answer is grounded in continuously monitored, high-quality data. Built on Enterprise Context: AIDA draws from Anomalo’s anomaly detection, profiling, and observability capabilities to reason with context no generic LLM can access. Integrated with the Best of AI: Works seamlessly with Vertex AI, Mosaic AI, and Cortex AI, supporting models like Gemini and Claude. A Self-Reinforcing System: Insights can feed back into Anomalo’s data quality monitoring layer, strengthening your data quality with every interaction. Ready to see AIDA in action? Join the AIDA Waitlist PRODUCT CAPABILITIES Do More With AIDA Get the Answers You Need in Seconds Explore any dataset instantly using natural language that AIDA translates into optimized SQL grounded in your enterprise context, drawing from the same tables, metrics, and quality rules that Anomalo monitors and enriched with continuously updated profiles, trends, and anomaly insights. Visualize Insights Instantly Instantly transform answers into interactive visualizations that reveal patterns, trends, and anomalies at a glance. Powered by Anomalo’s rich data visualization engine, AIDA automatically selects the most effective chart for your data and context. You can refine or reshape visuals using natural language to fit your needs. Reinforce Data Quality with Every Interaction When data exploration surfaces something worth monitoring, AIDA turns discovery into action. Directly from the conversation, users can create new data quality checks in Anomalo with no code required. AIDA recommends sensible defaults, pre-fills the right configurations, and instantly links those checks back to the datasets in question. Ready to see AIDA in action? Join the AIDA Waitlist FAQ Frequently Asked Questions If you have additional questions, get in touch What is AIDA? AIDA is Anomalo’s Intelligent Data Analyst, built directly on our data quality foundation. It understands your data using context from how your organization monitors data quality and from automated profiling and anomaly detection. AIDA’s agentic capabilities let any data user ask questions of their data, visualize trends and insights, and create new data quality checks all with a natural language interface. Who is AIDA for? AIDA is built for data analysts, business users, and enterprise teams who need to explore, understand, and trust their data quickly. Which data sources does AIDA integrate with? AIDA connects seamlessly to the modern data stack, leveraging Anomalo’s native integrations with over 17 data sources, including BigQuery, Snowflake, and Databricks. Which models does AIDA support? AIDA is built to work with the world’s leading AI models and platforms. Through native integrations with BigQuery, Snowflake, and Databricks, AIDA connects seamlessly with Google’s Vertex AI, Snowflake’s Cortex AI, and Databricks’ Mosaic AI to power its agentic workloads, and supports the world’s most advanced Large Language Models such as Gemini or Claude. How can I try AIDA? AIDA is currently available in preview for existing Anomalo customers with an active subscription to Anomalo’s data quality platform. During the preview period, participating customers receive free access to explore AIDA and experience its capabilities firsthand. If you’re not yet an Anomalo customer, join the waitlist to be notified when broader access becomes available. How does AIDA ensure data security and compliance? AIDA inherits the same enterprise-grade security and compliance standards as the Anomalo platform and respects all access controls, governance policies, and data masking rules already in place. --- This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, see our Privacy PolicyIf you decline, your information won’t be tracked when you visit this website. A single cookie will be used in your browser to remember your preference not to be tracked.AcceptDecline Skip to content 🎉Introducing AIDA, Anomalo’s Intelligent Data Analyst Seamless Integrations Data Stack Integrations & Partners An instant match for any data stack Anomalo integrates with the platforms and tools your team already uses, so you can start monitoring your data quality in minutes. 2024 Databricks Partner Awards Emerging Partner of the Year Read More Integrations Data quality management that works everywhere you do. With seamless connections to familiar tools used across your stack, Anomalo makes it easy to keep doing your best work. Data Sourcing Data Catalogs Alerting Resolve BI Tools Single sign-on Transformation FAQ Frequently Asked Questions If you have additional questions, get in touch What makes Anomalo’s integrations stand out? One of the strengths of Anomalo is our deep investment in the data ecosystem and the partnerships that we’ve built with companies like Databricks, Snowflake, and Alation. We believe that data quality information needs to be democratized and shared across the data stack and have pioneered this effort through our integrations. Through our native integration with Alation, you can access all kinds of data quality information from your catalog. You can easily integrate Anomalo’s checks with workflow orchestrators like dbt and Airflow. And you can be confident that you have the most cost-effective and efficient monitoring because Anomalo understands the nuances of each data warehouse. We’ve considered an all-in-one data management solution. What are the advantages of integrating Anomalo with our stack? When it comes to data quality, some vendors promise to handle everything from data governance to cataloging to monitoring. While this can provide convenience, these solutions can come at a high price without offering the most cutting-edge features in any one area. An additional concern is vendor lock-in: you may not be able to easily change pieces of your stack later as your business needs evolve. When you integrate Anomalo with your stack, you are getting a solution that a) offers the best data quality monitoring on the market — it’s our only focus — and b) will scale and adapt to how your organization uses data, because we integrate with so many different components of the stack. Where can I find documentation about integrations? Currently, our documentation is private and accessible to Anomalo customers or those doing a pilot with our platform. Once you’re working with your customer success team, we’ll make sure that you have all the docs you need — most integrations are quite straightforward and can be set up directly from inside the platform UI with a few clicks. I don’t see my integration listed. Is it something Anomalo could support? If you don’t see an integration listed here, we may be actively working on supporting it! And if not, we may want to add it to our roadmap. Please reach out to support@anomalo.com with more information about your use case. Ready to Trust Your Data? Let’s Get Started Meet with our team to see how Anomalo transforms data quality from a challenge into a competitive edge. Request a Demo