Anomalo
Anomalo, founded in 2018 by Elliot Shmukler and Jeremy Stanley, provides AI-powered data quality and validation software for enterprise data warehouses.
Profile
Anomalo monitors data in warehouses and lakes for anomalies and quality issues, alerting teams before bad data breaks analytics or AI pipelines.
Anomalo, founded in 2018 by Elliot Shmukler and Jeremy Stanley, provides AI-powered data quality and validation software for enterprise data warehouses. The co-founders met at Instacart, where they witnessed firsthand how stale data could derail business decisions—a geographic expansion stalled for six months due to outdated analytics. That experience led them to build Anomalo, a platform that automatically detects anomalies and data issues without requiring manual rules or SQL expertise.
The company raised $5.95M in seed funding in 2020, followed by a $33M Series B in January 2024 led by SignalFire with participation from Databricks Ventures, Norwest, Two Sigma, and Foundation Capital. In March 2025, Snowflake Ventures invested strategically, underscoring the company's prominence in the Snowflake ecosystem. Anomalo now counts 88 employees and serves over 133 customers worldwide, including Fortune 500 companies and named clients such as Discover, Notion, Block, Buzzfeed, Marsh McLennan, Equifax, Nationwide, and ADP.
Beyond structured table monitoring, Anomalo launched Unstructured Data Monitoring in 2025, which analyzes text documents, emails, and forms for quality issues and LLM readiness. In May 2025, the company released Workflows, a feature suite that processes over 100,000 documents per run in minutes—work that previously took months manually. The platform detects duplicates, PII, abusive language, and sentiment patterns. In October 2025, Anomalo introduced AIDA, its conversational AI analyst built atop the data quality layer. The company is now positioning itself as 'the autonomous data system for the agentic enterprise,' reflecting a pivot toward AI-agent-native infrastructure. Employee sentiment on Glassdoor is positive, with reviewers highlighting strong leadership, transparent execution, and compelling product vision, though some flag typical Series B scaling challenges.
Who buys this
- Fortune 500 companies and large enterprises in financial services, insurance, and retail leveraging Snowflake as their primary cloud warehouse
- Organizations preparing unstructured documents (forms, emails, contracts, transcripts) for AI and machine learning applications
- Data teams managing Snowflake, Databricks, or BigQuery looking to reduce manual data validation and root-cause investigation overhead
- Regulated industries (healthcare, fintech, insurance) requiring SOC 2 Type II and HIPAA compliance for data governance
Publicly disclosed clients
- Discover
- Notion
- Block
- BuzzFeed
- Marsh McLennan
- Equifax
- Nationwide
- ADP
Strengths and what to watch
Strengths
- Machine-learning-based anomaly detection that operates without manual rules, reducing time from months to minutes for document analysis across large volumes
- Strategic partnerships and investments from Snowflake Ventures and Databricks Ventures, positioning Anomalo as the leading Snowflake Native App for data quality
- Unstructured data monitoring capability that addresses an underserved market gap—scanning documents for PII, duplicates, and LLM readiness as enterprise AI adoption accelerates
Watch for
- Competitive cost pressures: monitoring jobs balloon compute costs on large data volumes, and Anomalo faces entrenched competitors (Monte Carlo, Datadog-owned Metaplane) with broader observability portfolios
- Market position consolidation: Metaplane (direct competitor) acquired by Datadog in April 2025, raising questions about acquisition appetite and Anomalo's independence as the space matures
- Unstructured data product traction risk: Workflows and AIDA are recent launches (May and October 2025); sustained adoption and revenue contribution remain unproven versus proven structured-data monitoring business
Recent moves
Key Information
- Industry
- Data Quality & Observability
- Founded
- 2018
Frequently Asked Questions
What is Anomalo?
Anomalo is an AI-powered data quality and monitoring platform that automatically detects anomalies and data issues in enterprise data warehouses and lakes without requiring manual rules or SQL expertise. Founded in 2018, it serves Fortune 500 companies including Discover, Notion, and Block.
How does Anomalo detect data anomalies?
Anomalo uses machine-learning-based detection that operates without manual rules or threshold configuration, reducing analysis time from months to minutes. It automatically flags anomalies and quality issues in data warehouses by analyzing patterns across structured tables and identifying unusual data behaviors.
Does Anomalo work with Snowflake?
Yes. Anomalo is the leading Snowflake Native App for data quality, achieving Snowflake Ready Technology Validation in January 2025. Snowflake Ventures invested strategically in March 2025. The platform integrates natively through Snowpark Container Services and is available on Snowflake Marketplace.
Can Anomalo monitor unstructured data?
Yes. Launched in May 2025, Anomalo's Unstructured Data Monitoring analyzes text documents, emails, forms, and transcripts for quality issues and LLM readiness. Workflows processes over 100,000 documents per run in minutes, detecting duplicates, PII, abusive language, and sentiment patterns automatically.
Who uses Anomalo?
Anomalo serves over 133 customers worldwide, including Fortune 500 companies across financial services, insurance, and retail. Named clients include Discover, Notion, Block, BuzzFeed, Marsh McLennan, Equifax, Nationwide, and ADP. The platform is particularly strong in regulated industries requiring SOC 2 Type II and HIPAA compliance.
What is AIDA in Anomalo?
AIDA is Anomalo's conversational AI analyst launched in October 2025, built atop the data quality monitoring platform. It enables conversational analytics and interactive data exploration. AIDA represents Anomalo's strategic pivot toward autonomous data systems for the agentic enterprise, extending beyond traditional anomaly monitoring.
How Anomalo compares
Direct head-to-head against 2 competitors. Picked by 7wData.
Anomalo
- Positioning
- Anomalo monitors data in warehouses and lakes for anomalies and quality issues, alerting teams before bad data breaks analytics or AI pipelines.
- Customer segments
- Fortune 500 companies and large enterprises in financial services, insurance, and retail leveraging Snowflake as their primary cloud warehouse
- Strengths
- Machine-learning-based anomaly detection that operates without manual rules, reducing time from months to minutes for document analysis across large volumes
- Watch for
- Competitive cost pressures: monitoring jobs balloon compute costs on large data volumes, and Anomalo faces entrenched competitors (Monte Carlo, Datadog-owned Metaplane) with broader observability portfolios
- Recent moves
- Anomalo introduces AIDA, its Intelligent Data Analyst built atop the data quality platform for conversational analytics
Monte Carlo
- Positioning
- Data observability platform monitoring pipelines end-to-end for data engineering teams on Snowflake, Databricks, and BigQuery.
- Customer segments
- Data engineering and analytics engineering teams at mid-market to enterprise companies running cloud data warehouses.
- Strengths
- Full-stack pipeline lineage with automated root-cause triage from ingestion through consumption, not limited to table-level anomaly detection.
- Watch for
- Customers on large deployments report alert fatigue from notification volume, requiring significant configuration tuning to reduce false positives.
- Recent moves
- Launched Agent Observability in September 2025, extending coverage to AI pipeline inputs, outputs, and unstructured document assets.
Bigeye
- Positioning
- Automated data quality monitoring for cloud warehouses, reducing manual threshold configuration through historical baseline automation.
- Customer segments
- Data engineering teams at growth-stage and enterprise companies on Snowflake, Redshift, or BigQuery seeking automated dataset coverage.
- Strengths
- Automatic threshold tuning from historical baselines eliminates manual rule-writing for teams monitoring hundreds of warehouse tables.
- Watch for
- At $73.5M total funding versus Monte Carlo's $230M plus, customers question long-term roadmap investment capacity and vendor stability.
- Recent moves
- Launched AI Guardian on December 10, 2025, a runtime enforcement layer blocking AI agent data access based on quality and policy signals.
Sources
- www.anomalo.com — Company mission, product portfolio (Table Observability, Data Quality, Insights, Analytics, Documentation agents; Unstructured Data Monitoring), deployment options, compliance certifications
- www.anomalo.com — Founding story, co-founders Elliot Shmukler and Jeremy Stanley, core values, team leadership
- news.crunchbase.com — Seed funding round of $5.95M in two tranches (December 2020), initial investors First Round Capital and Foundation Capital
- www.globenewswire.com — Series B funding of $33M in January 2024 led by SignalFire with Databricks Ventures participation; total raised $72M; Chris Scoggins of SignalFire joins board; 177% YoY ARR growth; Fortune 500 customer count doubled in Q3 2023
- www.globenewswire.com — Snowflake Ready Technology Validation achieved January 2025; Snowflake Native App launch on Snowflake Marketplace; SOC 2 Type II and HIPAA compliance; deployment options including Snowpark Container Services
- www.anomalo.com — Snowflake Ventures investment in March 2025; Fortune 500 Snowflake customers experiencing 200% growth in annual usage; Anomalo as second vendor in category to receive Snowflake Ventures backing and only stand-alone enterprise data quality platform to earn distinction
- www.globenewswire.com — Unstructured Data Monitoring with Workflows general availability May 29, 2025; 15 pre-built quality metrics; 100k+ documents processed per run; use case with fast-food chain analyzing guest feedback
- www.glassdoor.com — Employee sentiment and culture reviews; positive ratings highlighting leadership, product vision, and transparent execution; notes on Series B scaling challenges
- review.firstround.com — CEO Elliot Shmukler background: former Chief Growth Officer at Instacart, VP Product & Growth at Wealthfront, product leader at LinkedIn and eBay
- www.techtarget.com — Snowflake Native App partnership and product integration details