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WhyLabs description
WhyLabs helps businesses ensure their AI applications are secure, reliable, and working as expected. Their platform monitors these applications for potential issues like data quality drops, bias, or security risks. WhyLabs offers tools specifically for Large Language Models (LLMs), Generative AI, and traditional AI models, and boasts streamlined integration with existing company systems.
Who is WhyLabs best for
WhyLabs is an AI observability platform ideal for data science teams at small to enterprise-level companies looking to maintain and monitor their production ML models, especially LLMs and Generative AI. Users praise WhyLabs for its robust data monitoring, seamless integration, and excellent customer support. Some users note the platform can be technical and desire more detailed dashboards. WhyLabs effectively monitors data drift and model performance degradation, enabling easier debugging and maintenance of production ML systems.
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Best fit for small to enterprise-level companies with established data science teams.
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A good fit across industries with companies focused on ensuring responsible and reliable AI.
WhyLabs features
| Supported WhyLabs offers real-time monitoring and observability features, providing real-time inspection data visibility. |
| Supported WhyLabs supports accuracy, precision, recall, and F1-score for classification models. |
| Supported WhyLabs supports testing LLM applications by monitoring and evaluating their performance and reliability. |
| Supported WhyLabs monitors LLM performance, including latency, throughput, and error rates. |
| Supported WhyLabs offers tools for monitoring, debugging, and improving LLM application reliability and performance. |
We evaluate the sentiment that users express about non-functional aspects of the software
Customer Service
Ease of Use
Reliability and Performance
Ease of Implementation
WhyLabs reviews
We've summarised 24 WhyLabs reviews (WhyLabs G2 reviews) and summarised the main points below.
- Robust data observability capabilities for continuous monitoring of data pipelines and ML models.
- Privacy-preserving data analysis without moving or duplicating sensitive information.
- Easy setup and implementation with pre-loaded checks and metrics.
- Seamless integration with serving and data libraries.
- Excellent customer support and detailed documentation.
- Effective monitoring of data drift and model performance degradation.
- Useful for debugging, maintaining, and developing production ML systems.
- Portable, highly configurable, and provides unified visibility.
- User-friendly interface and comprehensive suite of analytics.
- Flexible and privacy-friendly platform with alerting options.
- Open-source whylogs library enables local data profiling.
- Fair pricing model.
- Limited user reviews and market feedback make it difficult to assess real-world performance.
- Platform can be overly technical for non-AI specialists.
- Some advanced features might still be under development.
- Limited flexibility in visualizations and sharing outside the product.
- Building custom monitors and metrics can be challenging.
- More detailed dashboards and granular data profiles are desired.
- More comprehensive API client tool for checking and retrieving profiles needed.
- Documentation needs improvement and updates to keep pace with product changes.
WhyLabs pricing
The commentary is based on 2 reviews from WhyLabs G2 reviews.
WhyLabs' pricing is praised for being affordable and competitive compared to alternatives with similar features. Reviewers found its cost-effectiveness a significant advantage, making it a valuable option for AI observability.
Users sentiment
See the WhyLabs pricing page.
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WhyLabs has a free plan.
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WhyLabs has a free trial.
FREE
ML and data monitoring for individuals. Included: 1 Project, 1 user, up to 200 features/Project, up to 5 segments/Project, 10M predictions/month, daily monitoring, Community support, no credit card required.
EXPERT
For teams with predictive and generative monitoring needs. Included: Up to 3 Projects, up to 5 users, up to 200 features or columns/Project, up to 5 segments/Project, 100M predictions/month, daily or weekly monitoring, Hourly monitoring for one LLM, Email support
ENTERPRISE
For advanced scale, security and support needs. Included: Custom projects, Unlimited users, Custom features & segments, Custom organizations, Unlimited predictions, Custom data retention, Custom monitoring, 24x7 Enterprise Support, Private Slack or Teams channel, Training, onboarding, and workshops. Request enterprise trial 14 day trial, no credit card required.
FREE TRIAL
Integrate and test guardrails for your AI apps with WhyLabs Secure. Included in the free trial: 14 day trial of all WhyLabs Secure capabilities, Turn on LLM Security for any use case, Integrate with any LLM Application
EXPERT
Securely operate AI apps with policy guardrails and tracing. Included: 1 project, 1 Organization, 5 policy rulesets out-of-the-box, Up to 100,000 traces per month, Private Link Support for AWS or Azure
ENTERPRISE
For advanced scale, security and support needs. Included: Custom Projects, Custom Organization, All policy rulesets out-of-the-box, Custom # of Traces & Debugging, Unlimited/Custom Tokens, Custom Data Retention, 24x7 Enterprise Support, Private Slack or Teams Channel, Training Onboarding & Workshops
WhyLabs alternatives
SuperwiseMore focused on IT and Software and Finance industries. Website traffic is growing faster, but WhyLabs has more momentum in terms of employee growth. No pricing information available.Read more
Qlik AutoMLBetter for users without data science expertise seeking automated model building and insights. Less focused on LLM-specific features. Has slower momentum.Read more
DeeployBetter for compliance-focused AI deployment and transparency. Geared towards high-risk AI applications. Has more momentum.Read more
GeminiBetter for text and code generation. More user-friendly interface. Seamless integration with Google services. Positive pricing sentiment. A WhyLabs alternative and competitor.Read more
Vertex AIBetter for users without coding experience. Wider industry applicability. Rated 4.4/5 stars on G2. Steeper learning curve and more expensive.Read more
AporiaMore focused on securing AI-powered chatbots. Has a free plan, but WhyLabs alternative is growing faster.Read more
WhyLabs FAQ
What is WhyLabs and what does WhyLabs do?
WhyLabs is an AI observability platform that helps ensure the reliability and security of AI applications. It monitors models for data quality issues, bias, and security risks, offering specialized tools for LLMs, generative AI, and traditional AI models. It integrates seamlessly with existing systems.
How does WhyLabs integrate with other tools?
WhyLabs integrates seamlessly with existing data science and MLOps workflows. It connects with various data sources, serving libraries, and monitoring tools, enabling comprehensive model and data monitoring within your current systems.
What the main competitors of WhyLabs?
Top alternatives to WhyLabs include Aporia, Deeploy, and Qlik AutoML. Aporia focuses on AI security and reliability. Deeploy simplifies AI deployment and transparency. Qlik AutoML automates machine learning model building. These platforms offer various data monitoring, model evaluation, and debugging capabilities.
Is WhyLabs legit?
WhyLabs is a legitimate platform. It offers robust data observability and AI model monitoring capabilities, earning positive user reviews for its functionality and customer support. However, some users find it overly technical.
How much does WhyLabs cost?
WhyLabs offers free and paid plans for both its Observe and Secure products. Observe's Expert plan starts at $125/month, while Secure's Expert plan starts at $1100/month. Enterprise pricing for both is custom. A free trial is available.
Is WhyLabs customer service good?
WhyLabs' customer support receives overwhelmingly positive feedback. Users praise the responsive and helpful team, highlighting their quick solutions and eagerness to assist with various issues, including complex integrations and troubleshooting. They also commend WhyLabs for their proactive engagement with the AI community.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.