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Truera

  • What it is:Truera is a provider of AI observability platforms for machine learning monitoring, quality management, explainability, and predictive diagnostics across model lifecycles.
  • Best for:Financial services enterprises, Snowflake customers, Teams managing 50+ production models
  • Pricing:Free tier available, paid plans from $13,000/year
  • Rating:78/100Good
  • Expert's conclusion:TruEra's unique value proposition in the AI Observability space makes it particularly well-suited for large enterprises in regulated industries managing complex AI systems at scale; the Snowflake acquisition has made this value proposition even more appealing to Data Cloud customers, however its enterprise-only position and high minimum commitment requirements disqualify it from being considered for smaller organizations.
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Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is Truera and What Does It Do?

Truera offers an enterprise-grade AI Explainability (AI-X) platform for large organizations to test and analyze their machine learning models, ensure model quality and provide model transparency through AI-X technology that was developed at Carnegie Mellon University. Truera’s platform is used by Fortune 100 companies such as Bank of America and Prudential Insurance to help remove the "black box" aspect of how AI/ML technologies operate.

Acquired
📍Redwood City, CA
📅Founded 2019
🏢Private
TARGET SEGMENTS
EnterprisesBankingInsuranceData Science Teams

What Are Truera's Key Business Metrics?

📊
$42M+
Total Funding
🏢
50-100
Employees
👥
Fortune 100 enterprises
Customers
📊
2019
Founded
💵
$10-25M
Revenue

How Credible and Trustworthy Is Truera?

78/100
Good

A well-established platform for AI explainability, funded heavily, with Fortune 100 clients and a Carnegie Mellon research pedigree; however, acquisition status, lack of publicly available review information impacts ability to fully assess transparency.

BREAKDOWN
Product Maturity80/100
Company Stability75/100
Security & Compliance85/100
User Reviews65/100
Transparency75/100
Support Quality80/100
TRUST SIGNALS
Carnegie Mellon University research foundationFortune 100 customers in banking/insurance$42M+ funding from Menlo Ventures, GreylockEnterprise deployments since 2019

What is the history of Truera and its key milestones?

2019

Company Founded

Founded by Anupam Datta, Shayak Sen and Will Uppington to develop the Model Intelligence platform based upon the AI explainability research developed at Carnegie Mellon University.

2020

Seed Funding

Raised $5.1 million in Series A funding, led by Greylock Partners with participation from Wing and Conversion Capital.

2020

Product Launch

Released the world's first Model Intelligence platform to address the trust gap in enterprise machine learning.

2023

Total Funding Reached

The total amount of funding received by Truera has surpassed $42 million from Menlo Ventures and Greylock Partners.

2024

Company Acquired

Truera was acquired and continues to deploy its platform in the enterprise space.

Who Are the Key Executives Behind Truera?

Will Uppington— CEO
Has co-founders with experience in developing and selling machine learning software to the enterprise.
Shayak Sen— CTO & Co-founder
Developed the core AI explainability technology behind Truera’s Model Intelligence Platform as part of his research at Carnegie Mellon University.
Anupam Datta— Co-founder
Professor at Carnegie Mellon University for over six years conducting AI research which forms the foundation of Truera’s Model Intelligence.

What Are the Key Features of Truera?

✨
AI Explainability
Provides enterprise-class explainability technology that removes the “black box” around machine learning models based upon Carnegie Mellon University research.
✨
Model Quality Analysis
Offers comprehensive testing of machine learning model performance, including bias detection and quality improvement tools.
✨
Model Governance
Offers governance and compliance tools designed to meet regulatory requirements for banking and insurance.
✨
Collaboration Tools
Offers team collaboration tools that can increase data scientist productivity and accelerate model deployment.
✨
Risk Assessment
Provides model risk management tools to detect and mitigate potential risks prior to model deployment into production.
✨
Performance Monitoring
Offers continuous monitoring and insights to maintain model quality after deployment into production.

What Technology Stack and Infrastructure Does Truera Use?

Infrastructure

Cloud-based enterprise infrastructure

Technologies

PythonNode.jsTypeScriptMySQLRedisPHPWordPress

Integrations

Enterprise ML workflowsData science platformsModel monitoring systems

AI/ML Capabilities

Proprietary AI explainability engine based on 6+ years Carnegie Mellon University research for model analysis, bias detection, and quality assurance

Tech stack from Employbl; AI/ML capabilities from company descriptions

What Are the Best Use Cases for Truera?

Enterprise Data Science Teams
The use of systematic quality evaluation and collaboration tools reduces project cost to enable the fast and improved deployment of ML models.
Model Risk Management
Before a model is put into production TruEra identifies model risk through comprehensive analysis and governance capabilities.
Banking Credit Modeling
Explainability and regulatory compliant features build trust in ML credit decisioning models.
Insurance Risk Modeling
Enhancing model quality and governance for pricing and risk assessment models used by Fortune 100 insurers.
NOT FORIndividual Developers
Not enterprise focused and therefore not designed or priced for individual/small team use.
NOT FORReal-time ML Applications
A model intelligence platform that is focused on analysis and governance and therefore does not optimize for sub-second inference performance.

How Much Does Truera Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Tier 1 (AWS Marketplace)$13,000/year5 projects, 10 million prediction rows—
Tier 2 (AWS Marketplace)$40,000/year25 projects, 25 million prediction rows—
EnterpriseCustom quoteCustom projects and prediction volume, enhanced features—
Basic PlanFreeUp to 5 projects, 3 models per project, TruEra Diagnostics only, no Monitoring, community supportDagsHub
Premium Plan50+ projects, 50+ models per project, Monitoring tool, enhanced security and supportDagsHub
Tier 1 (AWS Marketplace)$13,000/year
5 projects, 10 million prediction rows
Tier 2 (AWS Marketplace)$40,000/year
25 projects, 25 million prediction rows
EnterpriseCustom quote
Custom projects and prediction volume, enhanced features
Basic PlanFree
Up to 5 projects, 3 models per project, TruEra Diagnostics only, no Monitoring, community support
DagsHub
Premium Plan
50+ projects, 50+ models per project, Monitoring tool, enhanced security and support
DagsHub

How Does Truera Compare to Competitors?

FeatureTruEraFiddler AIWhyLabsRobust Intelligence
Core FunctionalityFull lifecycle ML/LLM observabilityModel performance monitoringData and model monitoringAI security and robustness
LLM ObservabilityYes (TruLens)PartialPartialNo
Explainability TestingYesYesNoNo
Root Cause AnalysisYesYesYesPartial
Starting Price$13,000/year$10,000/yearCustomCustom
Free TierBasic plan availableNoYesNo
Enterprise SSOYes (Enterprise)YesYesYes
API AvailabilityYesYesYesYes
SOC 2 CertifiedYesYesYesYes
Support OptionsCommunity to EnterpriseEnterpriseCommunity+EnterpriseEnterprise
Core Functionality
TruEraFull lifecycle ML/LLM observability
Fiddler AIModel performance monitoring
WhyLabsData and model monitoring
Robust IntelligenceAI security and robustness
LLM Observability
TruEraYes (TruLens)
Fiddler AIPartial
WhyLabsPartial
Robust IntelligenceNo
Explainability Testing
TruEraYes
Fiddler AIYes
WhyLabsNo
Robust IntelligenceNo
Root Cause Analysis
TruEraYes
Fiddler AIYes
WhyLabsYes
Robust IntelligencePartial
Starting Price
TruEra$13,000/year
Fiddler AI$10,000/year
WhyLabsCustom
Robust IntelligenceCustom
Free Tier
TruEraBasic plan available
Fiddler AINo
WhyLabsYes
Robust IntelligenceNo
Enterprise SSO
TruEraYes (Enterprise)
Fiddler AIYes
WhyLabsYes
Robust IntelligenceYes
API Availability
TruEraYes
Fiddler AIYes
WhyLabsYes
Robust IntelligenceYes
SOC 2 Certified
TruEraYes
Fiddler AIYes
WhyLabsYes
Robust IntelligenceYes
Support Options
TruEraCommunity to Enterprise
Fiddler AIEnterprise
WhyLabsCommunity+Enterprise
Robust IntelligenceEnterprise

How Does Truera Compare to Competitors?

vs Fiddler AI

TruEra has deeper explainability as well as full lifecycle testing including development phase; Fiddler focuses on production monitoring. TruEra’s acquisition by Snowflake gives it a cloud ecosystem advantage but also limits its appeal as a standalone offering.

TruEra will be best for those looking to implement a comprehensive quality management system; Fiddler will be best for production monitoring only.

vs WhyLabs

WhyLabs is focused on detecting data drift using broader open source tools. TruEra has stronger model centric explainability and regulatory compliant features that are specifically targeted at financial services.

TruEra will be best suited for regulated industries that require audit trails; WhyLabs will be best for general data monitoring.

vs Robust Intelligence

Robust Intelligence specializes in testing for adversarial robustness and security. TruEra tests for a broader set of quality metrics (including fairness) and allows for the evaluation of custom Large Language Models (LLMs), but less so for attacks simulations.

TruEra will be best for general AI quality; Robust will be best for security focused robustness testing.

vs Arize AI

Arize offers similar ML observability with strong visualization. TruEra is differentiated by having a high level of explainability based on research conducted at Carnegie Mellon University and TruLens for LLM applications, plus Snowflake integration.

TruEra currently offers the deepest explainability analysis and the most LLM support.

What are the strengths and limitations of Truera?

Pros

  • Deep explainability analysis – academic grade model testing from Carnegie Mellon University Research
  • Full life-cycle coverage — testing, monitoring and debugging from development through to production.
  • Industry leading LLM observability — Open-source TruLens framework for LLM applications.
  • Root cause analysis — Identifies specific model issues not just the symptoms of those issues.
  • Focus on regulatory compliance — Purpose built for auditing in financial services.
  • Integration with Snowflake — Embedded as a capability within one of the worlds largest data cloud platforms.
  • Can scale to billions — Handles high-volume prediction workloads for large enterprises.
  • Automated testing — Integrates into your existing SageMaker or Vertex AI pipelines.

Cons

  • Has a high entry barrier — $13K minimum will eliminate all SMB/Mid-Market customers.
  • Is an enterprise sale cycle — Multi month sales process. No self-service sign-up option.
  • Has conflicting information on pricing — Unclear about what the free tier offers post acquisition.
  • Relies heavily on Snowflake — Value prop is tied to Snowflake's ecosystem.
  • Observability toolset is narrower than general — Specialized vs Broad monitoring tools.
  • Only has limited capabilities for free — Basic plan does not include any form of monitoring capabilities.
  • Too complex for teams under 50 prod models — Overkill for teams that have less than 50 prod models in their environment.

Who Is Truera Best For?

Best For

  • Financial services enterprises — Designed specifically for compliance with banking regulators using explainability.
  • Snowflake customers — Native integration provides seamless observability directly within Data Cloud.
  • Teams managing 50+ production models — Economically scalable as you increase both your prediction volume and project count.
  • VP Data Science at $500M+ revenue companies — Addresses the need to meet audit requirements and reduces model failure risks.
  • LLM application developers — Provides the industry leading evaluation framework using TruLens.

Not Suitable For

  • SMBs and startups — Pricing starts at $13k so it is out of reach for most small teams. Consider whylabs free tier if you are looking for something similar.
  • Teams without substantial AI deployments — More than overkill for teams with fewer than 5 prod models. Consider using open source monitoring tools.
  • Self-service buyers — Enterprise sales process only. If you want a quicker path to purchase consider Arize or Fiddler.
  • Non-Snowflake cloud customers — Best value is when used within the Snowflake ecosystem. If you do not use snowflake consider platform agnostic alternatives.

Are There Usage Limits or Geographic Restrictions for Truera?

Minimum Commitment
$13,000/year Tier 1 (AWS Marketplace)
Projects (Tier 1)
5 projects maximum
Prediction Rows (Tier 1)
10 million rows
Projects (Tier 2)
25 projects maximum
Prediction Rows (Tier 2)
25 million rows
Basic Plan Projects
5 projects, 3 models per project
Basic Plan Features
Diagnostics only, no Monitoring tool
Deployment Options
SaaS or customer-managed
Self-Service Signup
Not available, sales contact required
Free Trial

Is Truera Secure and Compliant?

Financial Services ComplianceDedicated regulatory resources for banking AI compliance and audit trails
SOC 2 ComplianceEnterprise-grade security certifications for regulated industries
Data EncryptionSecure handling of sensitive model data and predictions
Role-Based Access ControlCollaboration features with role assignment in all plans
Snowflake Infrastructure SecurityLeverages Snowflake's enterprise cloud security and compliance
Audit LoggingComplete model testing and monitoring audit trails for compliance
Enhanced Security (Premium)Improved security features for enterprise deployments

What Customer Support Options Does Truera Offer?

Channels
support@truera.comAvailable through TruEra
Specialized
Post-acquisition by Snowflake, integration with Snowflake's support infrastructure available
Support Limitations
•No customer reviews available on AWS Marketplace, limiting independent validation of support quality
•Sparse public customer references limit visibility into typical support experiences

What APIs and Integrations Does Truera Support?

Integration Type
SaaS platform with API integration capabilities
Integration Examples
New Relic integration for correlating ML lifecycle signals; Snowflake native integration available post-acquisition
ML Workflow Integration
Integrates into existing ML/AI workflows without requiring process overhauls
Authentication
API key management for integrations (New Relic example: Active dashboard key and Model metrics data key)
Use Cases
Real-time model performance monitoring, drift detection, root cause analysis for model failures, compliance tracking

What Are Common Questions About Truera?

TruEra is an AI quality management and observability platform, which supports the monitoring, testing, debugging and maintenance of machine learning (ML) models during the entire lifecycle of these models. TruEra provides model performance tracking, drift detection, explainability analysis and root cause identification for AI systems.

TruEra's enterprise-level debugging engine has been developed based on research at Carnegie Mellon University over the last 8+ years and allows users to identify root causes of model performance issues very quickly, often in hours or days, and without having to retrain models completely. As a result of using this tool, users are able to cut their evaluation cycles down from 2 weeks to 2 hours and improve application metrics by up to 50%.

TruEra's main customer base consists of large enterprises in heavily regulated sectors such as banking, insurance, health care, government, financial services, retail and technology. For these industries, AI transparency and compliance are necessary operations.

TruEra focuses exclusively on enterprise customers who commit at least $13,000 per year through AWS Marketplace. This means that TruEra does not serve small and medium sized businesses (SMB), nor does it serve many mid-sized businesses because they do not have sufficient AI deployments to warrant this level of investment.

TruEra does not require a business to change its workflow when integrating TruEra into the workflow, but rather works directly with other tools and platforms that may already be used in the workflow. Additionally, TruEra also offers native integration with the Snowflake Data Cloud ecosystem since being acquired by Snowflake. Therefore, organizations that utilize Snowflake will be able to take advantage of the full suite of capabilities offered by TruEra and not have to utilize separate products that offer some, but not all, of the same capabilities.

After being acquired by Snowflake, the primary technical differentiation for TruEra is native integration with the Data Cloud ecosystem. Organizations that invest in Snowflake have access to integrated observability capabilities that no standalone vendor can match.

TruEra provides governance capability for enterprises, which include the ability to develop a framework for evaluating the lifecycle of their models, provide support for regulatory compliance, and build trust through continued assessments. TruEra is specifically designed to meet the needs of heavily regulated industries that need model explainability and auditable trails.

TruEra has TruLens, an advanced feature of TruEra's LLM Application Monitoring that includes both tracing and root cause analysis of the performance of the generative AI model used within your LLM-based application.

Is Truera Worth It?

TruEra provides an enterprise-grade AI Governance and Model Quality Management solution to highly regulated industries; The platform also demonstrates strong market validation through partnerships, e.g., PwC with major consulting firms and investment support from Snowflake. However, TruEra's $13,000+ minimum commitment and exclusive focus on large enterprises severely restricts the size of the potential market.

Recommended For

  • Financial Institutions large that are required to manage AI risks and ensure compliance with regulations
  • Healthcare and Insurance companies that have critical ML models in production and need to monitor these models' performance
  • Existing Snowflake customers who require an integrated AI Observability solution
  • Enterprise organizations that spend 15+ hours per week investigating model performance issues
  • Regulated industries where AI-related errors could result in serious consequences

!
Use With Caution

  • Mid-sized companies -- Pricing may be too high compared to the size of their organization
  • Organizations without mature ML Deployments -- Complexity is more suitable for larger-scale deployments
  • Non-Snowflake organizations -- Native Integration Advantage is substantial for Snowflake customers
  • Organizations that are currently evaluating standalone solutions -- Snowflake integration is now the primary differentiator

Not Recommended For

  • Small Businesses/Startups -- Annual minimum commitment of $13,000 eliminates this segment
  • Organizations that simply need Basic ML Monitoring -- Overkill for basic use cases
  • Organizations that want to review detailed Customer Case Studies -- Only Standard Chartered Bank has publicly documented using TruEra
  • Organizations that want to evaluate Customer Reviews -- No AWS Marketplace reviews limit validation.
Expert's Conclusion

TruEra's unique value proposition in the AI Observability space makes it particularly well-suited for large enterprises in regulated industries managing complex AI systems at scale; the Snowflake acquisition has made this value proposition even more appealing to Data Cloud customers, however its enterprise-only position and high minimum commitment requirements disqualify it from being considered for smaller organizations.

Best For
Financial Institutions large that are required to manage AI risks and ensure compliance with regulationsHealthcare and Insurance companies that have critical ML models in production and need to monitor these models' performanceExisting Snowflake customers who require an integrated AI Observability solution

What do expert reviews and research say about Truera?

Key Findings

TruEra is an enterprise level AI observability and quality management platform that is based on over 8 years of research at Carnegie Mellon University, which was recently acquired by Snowflake. TruEra provides large enterprises within highly regulated industries such as banking, insurance and healthcare with model monitoring, debugging and governance capabilities. Additionally, TruEra has received strong validation through partnerships with PwC, Gartner's designation of TruEra as a Cool Vendor in AI Governance and Responsible AI, and numerous selections by Fortune 1000 companies.

Data Quality

Good - comprehensive information from official website, AWS Marketplace listing, press releases, and YouTube content. Company details confirmed through multiple sources including ZoomInfo, CheckThat.ai, and Snowflake acquisition announcement. Limited data on current customer count and detailed pricing beyond $13,000 minimum threshold.

Risk Factors

!
The recent acquisition by Snowflake in 2026 could impact TruEra's product roadmap and ability to operate independently.
!
There are very few public references to TruEra's customer base, and only one reference to a customer: Standard Chartered Bank.
!
TruEra does not have any customer reviews available in the AWS Marketplace area, limiting the amount of independent validation available to assess TruEra's overall level of satisfaction with their products and services.
!
TruEra is positioned exclusively as an enterprise solution, creating a very small addressable market for the company.
!
TruEra has focused primarily on serving customers in North America, although the Snowflake acquisition could potentially provide greater geographic reach.
Last updated: February 2026

What Additional Information Is Available for Truera?

Snowflake Acquisition

In February 2026, Snowflake completed its acquisition of TruEra, thereby integrating TruEra's AI observability capabilities into Snowflake's Data Cloud as a native capability for all of Snowflake's current Data Cloud customers.

Strategic Partnerships

TruEra was selected as a preferred vendor by PwC UK in order to provide collaborative services related to AI risk management to PwC's clients using TruEra's operationalized AI risk methodologies. Members of TruEra's staff have provided advisory services regarding AI risk to the Bank of England and Monetary Authority of Singapore's respective AI Risk Advisory Boards.

Awards & Recognition

TruEra has been recognized as one of the World Changing Ideas by Fast Company for two years in succession. TruEra has also been named as a Cool Vendor by Gartner in AI Governance and Responsible AI in June 2021, and has been selected as a preferred vendor by multiple Fortune 1000 companies.

Founder Leadership

TruEra is co-founded by William Uppington and Anupam Shak. It has a leadership team that includes Shameek Kundu, who is the company's chief strategy officer, and the company's technology team includes experts in both machine learning and enterprise AI governance.

Research Foundation

The TruEra platform is based on eight plus years of research at Carnegie Mellon University on the topic of AI explainability and model debugging. The university-based research that went into building the TruEra platform is an important aspect that sets it apart from its competitors.

Enterprise Capabilities

The TruEra observability platform can process hundreds of thousands of events per second to track how models are performing and detect when they have drifted or changed during their entire lifecycle through the model development process. TruEra also supports automated model testing, provides compliance frameworks, and allows users to create governance workflows.

Geographic Focus

TruEra is headquartered in Redwood City, CA, and focuses primarily on serving North America-based companies. However, the company may expand its reach globally once it starts using the Snowflake database, which would allow TruEra to serve Snowflakes' global customer base in many different geographic regions.

What Are the Best Alternatives to Truera?

  • •
    Datadog ML Monitoring: A comprehensive monitoring platform for machine learning specific features within a broader observability platform. In addition to providing machine learning specific monitoring, Datadog offers a general-purpose monitoring platform along with lower entry costs and existing integration capabilities for users who are already utilizing Datadog. Datadog may be better suited for organizations who are currently invested in the Datadog ecosystem, however TruEra may offer more specialization toward AI governance than Datadog.
  • •
    Arize: Arize is a machine learning observability platform that focuses on real-time production model monitoring and drift detection. Arize is specifically designed for machine learning operations and offers strong explainability features. While Arize offers a very similar feature set to TruEra, it generally costs less money and has more transparent pricing. Overall, Arize may be best suited for mid-sized and large-scale teams who prioritize model performance monitoring.
  • •
    Fiddler: Fiddler AI is a machine learning and artificial intelligence observability platform that emphasizes explainability and responsible AI for heavily regulated industries such as healthcare, finance and automotive. Fiddler AI is a direct competitor to TruEra in terms of target markets and use cases. While TruEra may require a user to leverage Snowflake to utilize some of the platform features, Fiddler AI does not. Additionally, Fiddler AI is slightly more affordable than TruEra and has a larger public customer base. Overall, Fiddler AI may be the best choice for enterprises who seek to implement responsible AI governance practices and do not need to utilize Snowflake.
  • •
    WhyLabs: Data profiling tool for an open source-first ML observability solution. Flexible in terms of deployment options (open-source or commercial) while being less expensive than TruEra. Has a very large and active technical community (DataProfiler is developed by WhyLabs). Ideal for smaller data science teams that need a solution to optimize their cost of operations. (whylabs.ai)
  • •
    Azure ML Model Monitoring: Built-in ML monitoring from Microsoft in the Azure ecosystem. Ideal for companies that are heavily invested in the Microsoft Azure cloud platform. Offers fewer features related to explainability than TruEra, but offers them at no additional charge as part of its Azure ML subscription. Ideal for companies that have a Microsoft-centric technology stack and do not require additional layers of governance. (microsoft.com/azure)
  • •
    Custom In-House Solutions: Develop your own internal solutions for ML monitoring and governance using open-source frameworks such as TensorFlow, PyTorch, etc. The most customizable option available, however this approach will require significant investment in engineering time and ongoing maintenance efforts. This may be ideal for large technology companies that have dedicated MLOps teams and are looking for ways to create customized solutions that meet their company-specific needs that are not addressed by standard vendors. (requires large amount of technical resources)

What Are Truera's Evaluation Metrics?

3.9/4
Model Evaluation Score
2.5/4
ML Framework Support Score
3.7/4
Operational Observability Score

What Testing Capabilities Does Truera Offer?

Explainability Analysis

SHAP, LIME, What-If Analysis, Counterfactuals

Bias Detection

Automated fairness/bias metrics

Root Cause Analysis

Automated model degradation debugging

Data Quality Validation

Schema, Statistical Standards, Anomalies

Segment Analytics

Data Segment performance analysis

How Does Truera's Benchmark Support Compare?

BenchmarkCategorySupported
MMLULanguage & KnowledgeVia TruLens
HumanEvalCode GenerationVia TruLens
TruthfulQATruthfulnessVia TruLens
GSM8KMath ReasoningVia TruLens

What Model Compatibility Does Truera Support?

Scikit-learnTensorFlowPyTorchHugging FaceLLM AppsCustom Models

What Is Truera's Evaluation Modes?

Primary Mode
Continuous lifecycle evaluation
Experiment Tracking
TruLens integration
Production Monitoring
Real-time observability
Feedback Loops
Ground truth integration

How Does Truera Ensure Safety Through Testing?

Bias Detection

Fairness metrics/midiation

Data Distribution Changes

Drift detection/stability analysis

Anomaly Detection

Model/data anomaly detection

Conceptual Soundness

Validation of model reliability

What Is Truera's Ci Cd Integration?

Interfaces
SDK, REST API, CLI
Deployment
Containerized, cloud/on-premise
Pipeline Support
Automated pipelines integration
Alerting
Custom thresholds, root cause alerts

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